<?xml version="1.0" encoding="UTF-8"?>
 <rdf:RDF xmlns="http://purl.org/rss/1.0/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:cc="http://web.resource.org/cc/" xmlns:syn="http://purl.org/rss/1.0/modules/syndication/" xmlns:admin="http://webns.net/mvcb/">
  <channel rdf:about="http://pinboard.in">
    <title>Pinboard (Vaguery)</title>
    <link>https://pinboard.in/u:Vaguery/public/</link>
    <description>recent bookmarks from Vaguery</description>
    <items>
      <rdf:Seq>	<rdf:li rdf:resource="https://arxiv.org/abs/1801.06853"/>
	<rdf:li rdf:resource="https://deepmind.com/blog/grid-cells/"/>
	<rdf:li rdf:resource="https://sos.noaa.gov/datasets/bird-migration-patterns-western-hemisphere/"/>
	<rdf:li rdf:resource="http://nautil.us/blog/when-its-good-to-be-antisocial"/>
	<rdf:li rdf:resource="http://arxiv.org/abs/1506.06138"/>
	<rdf:li rdf:resource="http://arxiv.org/abs/1511.03652"/>
	<rdf:li rdf:resource="http://arxiv.org/abs/1412.2309"/>
	<rdf:li rdf:resource="http://arxiv.org/abs/1408.0686"/>
	<rdf:li rdf:resource="http://arxiv.org/abs/1506.08133"/>
	<rdf:li rdf:resource="http://arxiv.org/abs/1507.07270"/>
	<rdf:li rdf:resource="http://arxiv.org/abs/1401.1315"/>
	<rdf:li rdf:resource="http://arxiv.org/abs/1412.1070"/>
	<rdf:li rdf:resource="http://arxiv.org/abs/1410.3330"/>
	<rdf:li rdf:resource="http://biorxiv.org/content/early/2014/10/28/009746"/>
	<rdf:li rdf:resource="http://arxiv.org/abs/1403.7478"/>
	<rdf:li rdf:resource="http://arxiv.org/abs/1401.2121"/>
	<rdf:li rdf:resource="http://arxiv.org/abs/1310.6012"/>
	<rdf:li rdf:resource="http://arxiv.org/abs/1311.2169"/>
	<rdf:li rdf:resource="http://arxiv.org/abs/1311.4419"/>
	<rdf:li rdf:resource="http://arxiv.org/abs/1310.4249"/>
	<rdf:li rdf:resource="http://arxiv.org/abs/1205.3124"/>
	<rdf:li rdf:resource="http://arxiv.org/abs/1303.2242"/>
	<rdf:li rdf:resource="http://arxiv.org/abs/1206.3108"/>
	<rdf:li rdf:resource="http://arxiv.org/abs/1010.5017"/>
	<rdf:li rdf:resource="http://arxiv.org/abs/1006.0079"/>
	<rdf:li rdf:resource="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0010605"/>
	<rdf:li rdf:resource="http://where.raysend.com/public/manuscript/Adams_QGEN_2008.pdf"/>
	<rdf:li rdf:resource="http://www.wireless.is/projects/crows/"/>
	<rdf:li rdf:resource="http://cs.unm.edu/~aaron/blog/archives/2007/02/time_traveling.htm"/>
	<rdf:li rdf:resource="http://itre.cis.upenn.edu/~myl/languagelog/archives/004230.html"/>
      </rdf:Seq>
    </items>
  </channel><item rdf:about="https://arxiv.org/abs/1801.06853">
    <title>[1801.06853] Basic Model of Purposeful Kinesis</title>
    <dc:date>2020-05-02T15:44:42+00:00</dc:date>
    <link>https://arxiv.org/abs/1801.06853</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[The notions of taxis and kinesis are introduced and used to describe two types of behavior of an organism in non-uniform conditions: (i) Taxis means the guided movement to more favorable conditions; (ii) Kinesis is the non-directional change in space motion in response to the change of conditions. Migration and dispersal of animals has evolved under control of natural selection. In a simple formalisation, the strategy of dispersal should increase Darwinian fitness. We introduce new models of purposeful kinesis with diffusion coefficient dependent on fitness. The local and instant evaluation of Darwinian fitness is used, the reproduction coefficient. New models include one additional parameter, intensity of kinesis, and may be considered as the {\em minimal models of purposeful kinesis}. The properties of models are explored by a series of numerical experiments. It is demonstrated how kinesis could be beneficial for assimilation of patches of food or of periodic fluctuations. Kinesis based on local and instant estimations of fitness is not always beneficial: for species with the Allee effect it can delay invasion and spreading. It is proven that kinesis cannot modify stability of positive homogeneous steady states.
]]></description>
<dc:subject>theoretical-biology ethology rather-interesting animal-behavior agents statistics modeling to-simulate to-write-about artificial-life</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:bf23578e4341/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:theoretical-biology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:ethology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:rather-interesting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:animal-behavior"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:agents"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:modeling"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:to-simulate"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:to-write-about"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:artificial-life"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://deepmind.com/blog/grid-cells/">
    <title>Navigating with grid-like representations in artificial agents | DeepMind</title>
    <dc:date>2018-05-26T13:59:40+00:00</dc:date>
    <link>https://deepmind.com/blog/grid-cells/</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Most animals, including humans, are able to flexibly navigate the world they live in – exploring new areas, returning quickly to remembered places, and taking shortcuts. Indeed, these abilities feel so easy and natural that it is not immediately obvious how complex the underlying processes really are. In contrast, spatial navigation remains a substantial challenge for artificial agents whose abilities are far outstripped by those of mammals.

]]></description>
<dc:subject>ethology experiment artificial-life neural-networks to-write-about consider:nudge consider:pattern-libraries</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:5222a281ced1/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:ethology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:experiment"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:artificial-life"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:neural-networks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:to-write-about"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:consider:nudge"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:consider:pattern-libraries"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://sos.noaa.gov/datasets/bird-migration-patterns-western-hemisphere/">
    <title>Bird Migration Patterns - Western Hemisphere Dataset | Science On a Sphere</title>
    <dc:date>2018-03-24T11:46:15+00:00</dc:date>
    <link>https://sos.noaa.gov/datasets/bird-migration-patterns-western-hemisphere/</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[This dataset shows the migration of 118 species of terrestrial bird populations in the Western Hemisphere. Each dot represents the estimated location of the center of each species’ population for each day of the year. These estimations come from millions of observations from the eBird citizen-science database. eBird is a real-time, online checklist program, launched in 2002 by the Cornell Lab of Ornithology and National Audubon Society, that allows birdwatchers to enter their observations.

]]></description>
<dc:subject>via:twitter ethology migration visualization biology rather-interesting</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:1687e772eb20/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:via:twitter"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:ethology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:migration"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:rather-interesting"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://nautil.us/blog/when-its-good-to-be-antisocial">
    <title>When It’s Good to Be Antisocial</title>
    <dc:date>2017-09-29T15:47:12+00:00</dc:date>
    <link>http://nautil.us/blog/when-its-good-to-be-antisocial</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[For one, as introverts know well, socializing requires lots of energy. Highly complex societies of insects require an elaborate arsenal of chemical and physical signals to direct their communal behavior. Social bees have more highly developed exocrine glands than their solitary cousins, and solitary halictid bees have less sensory hairs on their antennae than their social precursors. Solitary and social halictids also have different odorant systems, which play an important role in social bee communication and recognition. As the environment comes up with new demands, and the genetic makeup of the hive adapts, these features might just stop being worth the investment.

For another, being social can be stunting—sometimes bees have to grow up fast to survive. Researchers at Whitman College in Washington found that the region of the newly hatched antisocial orchard bee’s brain responsible for foraging ability is about as developed as the corresponding region in the experienced forager honey bee. Antisociality encourages self-sufficiency. Orchard bees must each fend for themselves, and they emerge into the world knowing how to forage for food. For honey bees, on the other hand, only a portion of the hive has to forage at any given time.

]]></description>
<dc:subject>life-history evolutionary-biology ethology biology essay natural-history</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:0f3b56f791f6/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:life-history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:evolutionary-biology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:ethology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:essay"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:natural-history"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1506.06138">
    <title>[1506.06138] The evolution of lossy compression</title>
    <dc:date>2016-02-17T09:53:15+00:00</dc:date>
    <link>http://arxiv.org/abs/1506.06138</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[In complex environments, there are costs to both ignorance and perception. An organism needs to track fitness-relevant information about its world, but the more information it tracks, the more resources it must devote to memory and processing. Rate-distortion theory shows that, when errors are allowed, remarkably efficient internal representations can be found by biologically-plausible hill-climbing mechanisms. We identify two regimes: a high-fidelity regime where perceptual costs scale logarithmically with environmental complexity, and a low-fidelity regime where perceptual costs are, remarkably, independent of the environment. When environmental complexity is rising, Darwinian evolution should drive organisms to the threshold between the high- and low-fidelity regimes. Organisms that code efficiently will find themselves able to make, just barely, the most subtle distinctions in their environment.
]]></description>
<dc:subject>exploitation-and-exploration complexology ethology Goldilocks-arguments signal-processing information-theory neural evolutionary-economics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:8a0b3693a1b1/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:exploitation-and-exploration"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:complexology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:ethology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:Goldilocks-arguments"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:signal-processing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:information-theory"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:neural"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:evolutionary-economics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1511.03652">
    <title>[1511.03652] Linear response to leadership, effective temperature and decision making in flocks</title>
    <dc:date>2015-11-20T11:04:03+00:00</dc:date>
    <link>http://arxiv.org/abs/1511.03652</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Large collections of autonomously moving agents, such as animals or micro-organisms, are able to "flock" coherently in space even in the absence of a central control mechanism. While the direction of the flock resulting form this critical behavior is random, this can be controlled by a small subset of informed individuals acting as leaders of the group. In this article we use the Vicsek model to investigate how flocks respond to leadership and make decisions. Using numerical simulations, we demonstrate that flocks display a linear response to leadership that can be cast in the framework of the fluctuation-dissipation theorem, identifying an "effective temperature" reflecting how promptly the flock reacts to the initiative of the leaders. The linear response to leadership also holds in the presence of two groups of informed individuals with competing interests, indicating that the flock's behavioral decision is determined by both the number of leaders and their degree of influence.
]]></description>
<dc:subject>ethology swarms flocks self-organization experiment rather-interesting it's-more-complicated-than-you-think nudge-targets consider:parameter-sweep</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:a62c955362e0/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:ethology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:swarms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:flocks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:self-organization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:experiment"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:rather-interesting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:it's-more-complicated-than-you-think"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:consider:parameter-sweep"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1412.2309">
    <title>[1412.2309] Visual Causal Feature Learning</title>
    <dc:date>2015-11-14T13:51:08+00:00</dc:date>
    <link>http://arxiv.org/abs/1412.2309</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[We provide a rigorous definition of the visual cause of a behavior that is broadly applicable to the visually driven behavior in humans, animals, neurons, robots and other perceiving systems. Our framework generalizes standard accounts of causal learning to settings in which the causal variables need to be constructed from micro-variables. We prove the Causal Coarsening Theorem, which allows us to gain causal knowledge from observational data with minimal experimental effort. The theorem provides a connection to standard inference techniques in machine learning that identify features of an image that correlate with, but may not cause, the target behavior. Finally, we propose an active learning scheme to learn a manipulator function that performs optimal manipulations on the image to automatically identify the visual cause of a target behavior. We illustrate our inference and learning algorithms in experiments based on both synthetic and real data.
]]></description>
<dc:subject>machine-learning representation ethology philosophy-of-science algorithms rather-interesting learning learning-by-watching nudge-targets consider:intermediate-representations</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:faf45da1b2b6/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:machine-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:representation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:ethology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:philosophy-of-science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:rather-interesting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:learning-by-watching"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:consider:intermediate-representations"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1408.0686">
    <title>[1408.0686] A random walk model to study the cycles emerging from the exploration-exploitation trade-off</title>
    <dc:date>2015-10-04T11:57:33+00:00</dc:date>
    <link>http://arxiv.org/abs/1408.0686</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[We present a model for a random walk with memory, phenomenologically inspired in a biological system. The walker has the capacity to remember the time of the last visit to each site and the step taken from there. This memory affects the behavior of the walker each time it reaches an already visited site modulating the probability of repeating previous moves. This probability increases with the time elapsed from the last visit. A biological analog of the walker is a frugivore, with the lattice sites representing plants. The memory effect can be associated with the time needed by plants to recover its fruit load. We propose two different strategies, conservative and explorative, as well as intermediate cases, leading to non intuitive interesting results, such as the emergence of cycles.
]]></description>
<dc:subject>ethology artificial-life simulation complexology exploration-exploitation</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:2ac24baf5da8/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:ethology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:artificial-life"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:simulation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:complexology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:exploration-exploitation"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1506.08133">
    <title>[1506.08133] A Study on the Effect of Exit Widths and Crowd Sizes in the Formation of Arch in Clogged Crowds</title>
    <dc:date>2015-09-12T13:11:38+00:00</dc:date>
    <link>http://arxiv.org/abs/1506.08133</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[The arching phenomenon is an emergent pattern formed by a c-sized crowd of intelligent, goal-oriented, autonomous, heterogeneous individuals moving towards a w-wide exit along a long W-wide corridor, where W>w. We collected empirical data from microsimulations to identify the combination effects of~c and~w to the time~T of the onset of and the size~S of the formation of the arch. The arch takes on the form of the perimeter of a half ellipse halved along the minor axis. We measured the~S with respect to the lengths of the major~M and minor~m axes of the ellipse, respectively. The mathematical description of the formation of this phenomenon will be an important information in the design of walkways to control and easily direct the flow of large crowds, especially during panic egress conditions.
]]></description>
<dc:subject>swarms crowds artificial-life collective-behavior ethology simulation rather-interesting</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:cff4b7103be7/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:swarms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:crowds"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:artificial-life"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:collective-behavior"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:ethology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:simulation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:rather-interesting"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1507.07270">
    <title>[1507.07270] Searching for behavioral homologies: Shared generative rules for expansion and narrowing down of the locomotor repertoire in Arthropods and Vertebrates</title>
    <dc:date>2015-08-01T19:39:26+00:00</dc:date>
    <link>http://arxiv.org/abs/1507.07270</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[We use immobility as an origin and reference for the measurement of locomotor behavior; speed, the direction of walking and the direction of facing as the three degrees of freedom shaping fly locomotor behavior, and cocaine as the parameter inducing a progressive transition in and out of immobility. In this way we expose and quantify the generative rules that shape fruit fly locomotor behavior, which consist of a gradual narrowing down of the fly's locomotor freedom of movement during the transition into immobility and a precisely opposite expansion of freedom during the transition from immobility to normal behavior. The same generative rules of narrowing down and expansion apply to vertebrate behavior in a variety of contexts, Recent claims for deep homology between the vertebrate basal ganglia and the arthropod central complex, and neurochemical processes explaining the expansion of locomotor behavior in vertebrates could guide the search for equivalent neurochemical processes that mediate locomotor narrowing down and expansion in arthropods. We argue that a methodology for isolating relevant measures and quantifying generative rules having a potential for discovering candidate behavioral homologies is already available and we specify some of its essential features.
]]></description>
<dc:subject>ethology behavior neural-networks evolutionary-biology rather-interesting physiology nudge-targets consider:architectures</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:02b5dcdb4268/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:ethology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:behavior"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:neural-networks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:evolutionary-biology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:rather-interesting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:physiology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:consider:architectures"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1401.1315">
    <title>[1401.1315] Emergent spatial structures in flocking models: a dynamical system insight</title>
    <dc:date>2014-12-21T13:33:05+00:00</dc:date>
    <link>http://arxiv.org/abs/1401.1315</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[We show that hydrodynamic theories of polar active matter generically possess inhomogeneous traveling solutions. We introduce a unifying dynamical-system framework to establish the shape of these intrinsically nonlinear patterns, and show that they correspond to those hitherto observed in experiments and numerical simulations: periodic density waves, and solitonic bands, or polar-liquid droplets both cruising in isotropic phases. We elucidate their respective multiplicity and mutual relations, as well as their existence domain.
]]></description>
<dc:subject>swarms artificial-life ethology simulation pattern-formation rather-interesting</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:6c381e2f80e9/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:swarms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:artificial-life"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:ethology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:simulation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:pattern-formation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:rather-interesting"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1412.1070">
    <title>[1412.1070] The Self-Organization of Grid Cells in 3D</title>
    <dc:date>2014-12-08T11:49:15+00:00</dc:date>
    <link>http://arxiv.org/abs/1412.1070</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[What sort of grid cells do we expect to see in bats exploring a three-dimensional environment? How long will it take for them to emerge? We address these questions within our self-organization model based on firing-rate adaptation. The model indicates that the answer to the first question may be simple, and to the second one rather complex. The mathematical analysis of the simplified version of the model points at asymptotic states resembling FCC and HCP crystal structures, which are calculated to be very close to each other in terms of cost function. The simulation of the full model, however, shows that the approach to such asymptotic states involves several sub-processes over distinct time scales. The smoothing of the initially irregular multiple fields of individual units and their arrangement into hexagonal grids over certain best planes are observed to occur relatively fast, even in large 3D volumes. The correct mutual orientation of the planes, however, and the coordinated arrangement of different units, take a longer time, with the network showing no sign of convergence towards either a pure FCC or HCP ordering.
]]></description>
<dc:subject>self-organization theoretical-biology ethology pattern-formation rather-interesting collective-intelligence</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:8a2b74b1d33e/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:self-organization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:theoretical-biology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:ethology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:pattern-formation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:rather-interesting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:collective-intelligence"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1410.3330">
    <title>[1410.3330] Emergence of collective changes in travel direction of starling flocks from individual birds fluctuations</title>
    <dc:date>2014-11-07T14:02:32+00:00</dc:date>
    <link>http://arxiv.org/abs/1410.3330</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[One of the most impressive features of moving animal groups is their ability to perform sudden coherent changes in travel direction. While this collective decision can be a response to an external perturbation, such as the presence of a predator, recent studies show that such directional switching can also emerge from the intrinsic fluctuations in the individual behaviour. However, the cause and the mechanism by which such collective changes of direction occur are not fully understood yet. Here, we present an experimental study of spontaneous collective turns in natural flocks of starlings. We employ a recently developed tracking algorithm to reconstruct three-dimensional trajectories of each individual bird in the flock for the whole duration of a turning event. Our approach enables us to analyze changes in the individual behavior of every group member and reveal the emergent dynamics of turning. We show that spontaneous turns start from individuals located at the elongated edges of the flocks, and then propagate through the group. We find that birds on the edges deviate from the mean direction of motion much more frequently than other individuals, indicating that persistent localized fluctuations are the crucial ingredient for triggering a collective directional change. Finally, we quantitatively show that birds follow equal radius paths during turning allowing the flock to change orientation and redistribute risky locations among group members. The whole process of turning is a remarkable example of how a self-organized system can sustain collective changes and reorganize, while retaining coherence.
]]></description>
<dc:subject>swarms emergent-behavior ethology experiment learning-by-looking</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:da32209caadd/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:swarms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:emergent-behavior"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:ethology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:experiment"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:learning-by-looking"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://biorxiv.org/content/early/2014/10/28/009746">
    <title>Collective action and the collaborative brain | bioRxiv</title>
    <dc:date>2014-11-03T11:52:04+00:00</dc:date>
    <link>http://biorxiv.org/content/early/2014/10/28/009746</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Humans are unique both in their cognitive abilities and in the extent of cooperation in large groups of unrelated individuals. How our species evolved high intelligence in spite of various costs of having a large brain is perplexing. Equally puzzling is how our ancestors managed to overcome the collective action problem and evolve strong innate preferences for cooperative behavior. Here I theoretically study the evolution of social-cognitive competen- cies as driven by selection emerging from the need to produce public goods in games against nature or in direct competition with other groups. I use collaborative ability in collective actions as a proxy for social-cognitive competencies. My results suggest that collaborative ability is more likely to evolve first by between-group conflicts and then later be utilized and improved in games against nature. If collaborative abilities remain low, the species is pre- dicted to become genetically dimorphic with a small proportion of individuals contributing to public goods and the rest free-riding. Evolution of collaborative ability creates conditions for the subsequent evolution of collaborative communication and cultural learning.

]]></description>
<dc:subject>collaboration ethology theoretical-biology cognition agent-based multiobjective-optimization rather-interesting nudge-targets</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:22a7d1ac2ca9/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:collaboration"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:ethology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:theoretical-biology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:cognition"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:agent-based"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:multiobjective-optimization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:rather-interesting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1403.7478">
    <title>[1403.7478] The Informative Herd: why humans and other animals imitate more when conditions are adverse</title>
    <dc:date>2014-04-24T10:34:41+00:00</dc:date>
    <link>http://arxiv.org/abs/1403.7478</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Decisions in a group often result in imitation and aggregation, which are enhanced in panic, dangerous, stressful or negative situations. Current explanations of this enhancement are restricted to particular contexts, such as anti-predatory behavior, deflection of responsibility in humans, or cases in which the negative situation is associated with an increase in uncertainty. But this effect is observed across taxa and in very diverse conditions, suggesting that it may arise from a more general cause, such as a fundamental characteristic of social decision-making. Current decision-making theories do not explain it, but we noted that they concentrate on estimating which of the available options is the best one, implicitly neglecting the cases in which several options can be good at the same time. We explore a more general model of decision-making that instead estimates the probability that each option is good, allowing several options to be good simultaneously. This model predicts with great generality the enhanced imitation in negative situations. Fish and human behavioral data showing an increased imitation behavior in negative circumstances are well described by this type of decisions to choose a good option.
]]></description>
<dc:subject>ethology theoretical-biology the-fascination-with-mechanism interesting</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:f012ce00e77d/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:ethology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:theoretical-biology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:the-fascination-with-mechanism"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:interesting"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1401.2121">
    <title>[1401.2121] Emotional Responses in Artificial Agent-Based Systems: Reflexivity and Adaptation in Artificial Life</title>
    <dc:date>2014-04-15T10:34:08+00:00</dc:date>
    <link>http://arxiv.org/abs/1401.2121</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[The current work addresses a virtual environment with self-replicating agents whose decisions are based on a form of "somatic computation" (soma - body) in which basic emotional responses, taken in parallelism to actual living organisms, are introduced as a way to provide the agents with greater reflexive abilities. The work provides a contribution to the field of Artificial Intelligence (AI) and Artificial Life (ALife) in connection to a neurobiology-based cognitive framework for artificial systems and virtual environments' simulations. The performance of the agents capable of emotional responses is compared with that of self-replicating automata, and the implications of research on emotions and AI, in connection to both virtual agents as well as robots, is addressed regarding possible future directions and applications.
]]></description>
<dc:subject>artificial-life ethology emotion sociable-machines nudge-targets details-would-be-nicer</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:3f4d1ef33c13/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:artificial-life"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:ethology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:emotion"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:sociable-machines"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:details-would-be-nicer"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1310.6012">
    <title>[1310.6012] Evolution of swarming behavior is shaped by how predators attack</title>
    <dc:date>2014-04-15T10:30:48+00:00</dc:date>
    <link>http://arxiv.org/abs/1310.6012</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Animal grouping behaviors have been widely studied due to their implications for understanding social intelligence, collective cognition, and potential applications in engineering, artificial intelligence, and robotics. An important biological aspect of these studies is discerning which selection pressures favor the evolution of grouping behavior. In the past decade, researchers have begun using evolutionary computation to study the evolutionary effects of these selection pressures in predator-prey models. The selfish herd hypothesis states that concentrated groups arise because prey selfishly attempt to place their conspecifics between themselves and the predator, thus causing an endless cycle of movement toward the center of the group. Using an evolutionary model of a predator-prey system, we show that how predators attack is critical to the evolution of the selfish herd. Following this discovery, we show that density-dependent predation provides an abstraction of Hamilton's original formulation of "domains of danger." Finally, we verify that density-dependent predation provides a sufficient selective advantage for prey to evolve the selfish herd in response to predation by coevolving predators. Thus, our work corroborates Hamilton's selfish herd hypothesis in a digital evolutionary model, refines the assumptions of the selfish herd hypothesis, and generalizes the domain of danger concept to density-dependent predation.
]]></description>
<dc:subject>artificial-life swarms agent-based ethology nudge-targets local-folks consider:representation consider:lamarck</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:c11149e54147/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:artificial-life"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:swarms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:agent-based"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:ethology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:local-folks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:consider:representation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:consider:lamarck"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1311.2169">
    <title>[1311.2169] Collective foraging in heterogeneous landscapes</title>
    <dc:date>2014-01-23T13:18:00+00:00</dc:date>
    <link>http://arxiv.org/abs/1311.2169</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Animals foraging alone are hypothesized to optimize the encounter rates with resources through L\'evy walks. However, the issue of how the interactions between multiple foragers influence their search efficiency is still not completely understood. To address this, we consider a model to study the optimal strategy for a group of foragers searching for targets distributed heterogeneously. In our model foragers move on a square lattice containing immobile but regenerative targets. At any instant a forager is able to detect only those targets that happen to be in the same site. However, we allow the foragers to have information about the state of other foragers. A forager who has not detected any target walks towards the nearest location, where another forager has detected a target, with probability exp(−αd), where d is the distance and α is a parameter. The model reveals that neither overcrowding (α→0) nor independent searching (α→∞) is beneficial for the group. For patchy distribution of targets the efficiency is maximum for intermediate values of α. Also, in the limit α→0, the length of the walks can become scale-free.
]]></description>
<dc:subject>ethology agents collective-intelligence agent-based simulation nudge-targets evolution</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:e8471b526091/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:ethology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:agents"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:collective-intelligence"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:agent-based"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:simulation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:evolution"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1311.4419">
    <title>[1311.4419] Perception and Steering Control in Paired Bat Flight</title>
    <dc:date>2013-12-07T22:39:36+00:00</dc:date>
    <link>http://arxiv.org/abs/1311.4419</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Animals within groups need to coordinate their reactions to perceived environmental features and to each other in order to safely move from one point to another. This paper extends our previously published work on the flight patterns of Myotis velifer that have been observed in a habitat near Johnson City, Texas. Each evening, these bats emerge from a cave in sequences of small groups that typically contain no more than three or four individuals, and they thus provide ideal subjects for studying leader-follower behaviors. By analyzing the flight paths of a group of M. velifer, the data show that the flight behavior of a follower bat is influenced by the flight behavior of a leader bat in a way that is not well explained by existing pursuit laws, such as classical pursuit, constant bearing and motion camouflage. Thus we propose an alternative steering law based on virtual loom, a concept we introduce to capture the geometrical configuration of the leader-follower pair. It is shown that this law may be integrated with our previously proposed vision-enabled steering laws to synthesize trajectories, the statistics of which fit with those of the bats in our data set. The results suggest that bats use perceived information of both the environment and their neighbors for navigation.
]]></description>
<dc:subject>ethology planning experiment collective-intelligence swarms suggestive</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:89f62d55b2a5/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:ethology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:planning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:experiment"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:collective-intelligence"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:swarms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:suggestive"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1310.4249">
    <title>[1310.4249] Mapping the structure of drosophilid behavior</title>
    <dc:date>2013-11-01T21:58:50+00:00</dc:date>
    <link>http://arxiv.org/abs/1310.4249</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Most animals possess the ability to actuate a vast diversity of movements, ostensibly constrained only by morphology and physics. In practice, however, a frequent assumption in behavioral science is that most of an animal's activities can be described in terms of a small set of stereotyped motifs. Here we introduce a method for mapping the behavioral space of organisms, relying only upon the underlying structure of postural movement data to organize and classify behaviors. We find that six different drosophilid species each perform a mix of non-stereotyped actions and over one hundred hierarchically-organized, stereotyped behaviors. Moreover, we use this approach to compare these species' behavioral spaces, systematically identifying subtle behavioral differences between closely-related species.
]]></description>
<dc:subject>biology feature-extraction adhockery ethology clustering those-which-from-a-distance-look-like-flies ontological-sins</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:19ce08c3389e/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:feature-extraction"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:adhockery"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:ethology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:clustering"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:those-which-from-a-distance-look-like-flies"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:ontological-sins"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1205.3124">
    <title>[1205.3124] Foraging under conditions of short-term exploitative competition: The case of stock traders</title>
    <dc:date>2013-04-08T19:21:29+00:00</dc:date>
    <link>http://arxiv.org/abs/1205.3124</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Theory purports that animal foraging choices evolve to maximize returns, such as net energy intake. Empirical research in both human and nonhuman animals reveals that individuals often attend to the foraging choices of their competitors while making their own foraging choices. Due to the complications of gathering field data or constructing experiments, however, broad facts relating theoretically optimal and empirically realized foraging choices are only now emerging. Here, we analyze foraging choices of a cohort of professional day traders who must choose between trading the same stock multiple times in a row---patch exploitation---or switching to a different stock---patch exploration---with potentially higher returns. We measure the difference between a trader's resource intake and the competitors' expected intake within a short period of time---a difference we call short-term comparative returns. We find that traders' choices can be explained by foraging heuristics that maximize their daily short-term comparative returns. However, we find no one-best relationship between different trading choices and net income intake. This suggests that traders' choices can be short-term win oriented and, paradoxically, maybe maladaptive for absolute market returns.]]></description>
<dc:subject>ethology experiment stocks financial-engineering behavioral-finance exploitation-and-exploration portfolio-theory nudge-targets</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:6b58dc07f6c1/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:ethology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:experiment"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:stocks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:financial-engineering"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:behavioral-finance"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:exploitation-and-exploration"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:portfolio-theory"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1303.2242">
    <title>[1303.2242] Adaptive Network Dynamics and Evolution of Leadership in Collective Migration</title>
    <dc:date>2013-03-25T12:04:05+00:00</dc:date>
    <link>http://arxiv.org/abs/1303.2242</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[The evolution of leadership in migratory populations depends not only on costs and benefits of leadership investments but also on the opportunities for individuals to rely on cues from others through social interactions. We derive an analytically tractable adaptive dynamic network model of collective migration with fast timescale migration dynamics and slow timescale adaptive dynamics of individual leadership investment and social interaction. For large populations, our analysis of bifurcations with respect to investment cost explains the observed hysteretic effect associated with recovery of migration in fragmented environments. Further, we show a minimum connectivity threshold above which there is evolutionary branching into leader and follower populations. For small populations, we show how the topology of the underlying social interaction network influences the emergence and location of leaders in the adaptive system. Our model and analysis can describe other adaptive network dynamics involving collective tracking or collective learning of a noisy, unknown signal, and likewise can inform the design of robotic networks where agents use decentralized strategies that balance direct environmental measurements with agent interactions.]]></description>
<dc:subject>ethology agent-based boids artificial-life nudge-targets simulation collective-intelligence anarchism</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:57679424a521/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:ethology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:agent-based"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:boids"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:artificial-life"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:simulation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:collective-intelligence"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:anarchism"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1206.3108">
    <title>[1206.3108] A common rule for decision-making in animal collectives across species</title>
    <dc:date>2013-02-25T12:26:34+00:00</dc:date>
    <link>http://arxiv.org/abs/1206.3108</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[A diversity of decision-making systems has been observed in animal collectives. In some species, choices depend on the differences of the numbers of animals that have chosen each of the available options, while in other species on the relative differences (a behavior known as Weber's law) or follow more complex rules. We here show that this diversity of decision systems corresponds to a single rule of decision-making in collectives. We first obtained a decision rule based on Bayesian estimation that uses the information provided by the behaviors of the other individuals to improve the estimation of the structure of the world. We then tested this rule in decision experiments using zebrafish (Danio rerio), and in existing rich datasets of argentine ants (Linepithema humile) and sticklebacks (Gasterosteus aculeatus), showing that a unified model across species can quantitatively explain the diversity of decision systems. Further, these results show that the different counting systems used by animals, including humans, can emerge from the common principle of using social information to make good decisions.]]></description>
<dc:subject>ethology biology complexology boids collective-intelligence simulation nudge-targets</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:3fc26de3c70e/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:ethology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:complexology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:boids"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:collective-intelligence"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:simulation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1010.5017">
    <title>[1010.5017] Collective motion</title>
    <dc:date>2012-01-30T21:18:44+00:00</dc:date>
    <link>http://arxiv.org/abs/1010.5017</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA["We review the observations and the basic laws describing the essential aspects of collective motion -- being one of the most common and spectacular manifestation of coordinated behavior. Our aim is to provide a balanced discussion of the various facets of this highly multidisciplinary field, including experiments, mathematical methods and models for simulations, so that readers with a variety of background could get both the basics and a broader, more detailed picture of the field. The observations we report on include systems consisting of units ranging from macromolecules through metallic rods and robots to groups of animals and people. Some emphasis is put on models that are simple and realistic enough to reproduce the numerous related observations and are useful for developing concepts for a better understanding of the complexity of systems consisting of many simultaneously moving entities. As such, these models allow the establishing of a few fundamental principles of flocking. In particular, it is demonstrated, that in spite of considerable differences, a number of deep analogies exist between equilibrium statistical physics systems and those made of self-propelled (in most cases living) units. In both cases only a few well defined macroscopic/collective states occur and the transitions between these states follow a similar scenario, involving discontinuity and algebraic divergences."]]></description>
<dc:subject>emergence emergent-design biology ethology complexology models artificial-life nudge-targets</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:c6911140b048/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:emergence"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:emergent-design"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:ethology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:complexology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:models"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:artificial-life"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1006.0079">
    <title>[1006.0079] Modeling the mobility of living organisms in heterogeneous landscapes: Does memory improve foraging success?</title>
    <dc:date>2010-06-05T19:44:37+00:00</dc:date>
    <link>http://arxiv.org/abs/1006.0079</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA["Thanks to recent technological advances, it is now possible to track with an unprecedented precision and for long periods of time the movement patterns of many living organisms in their habitat. The increasing amount of data available on single trajectories offers the possibility of understanding how animals move and of testing basic movement models. Random walks have long represented the main description for micro-organisms and have also been useful to understand the foraging behaviour of large animals. Nevertheless, most vertebrates, in particular humans and other primates, rely on sophisticated cognitive tools such as spatial maps, episodic memory and travel cost discounting. These properties call for other modeling approaches of mobility patterns. We propose a foraging framework where a learning mobile agent uses a combination of memory-based and random steps. We investigate how advantageous it is to use memory for exploiting resources in heterogeneous and changing environments.…"
]]></description>
<dc:subject>theoretical-biology ecology ethology simulation agent-based algorithms strategies complexology</dc:subject>
<dc:identifier>https://pinboard.in/u:Vaguery/b:631734382716/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:theoretical-biology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:ecology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:ethology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:simulation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:agent-based"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:strategies"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:complexology"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0010605">
    <title>PLoS ONE: Do Ravens Show Consolation? Responses to Distressed Others</title>
    <dc:date>2010-05-14T14:42:37+00:00</dc:date>
    <link>http://www.plosone.org/article/info:doi/10.1371/journal.pone.0010605</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA["Our findings suggest that in ravens, bystanders may console victims with whom they share a valuable relationship, thus alleviating the victims' post-conflict distress. Conversely victims may affiliate with bystanders after a conflict in order to reduce the likelihood of renewed aggression. These results stress the importance of relationship quality in determining the occurrence and function of post-conflict interactions, and show that ravens may be sensitive to the emotions of others."
]]></description>
<dc:subject>xenopsychology ethology social-norms cultural-assumptions cultural-dynamics</dc:subject>
<dc:identifier>https://pinboard.in/u:Vaguery/b:f3eef0f6981c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:xenopsychology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:ethology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-norms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:cultural-assumptions"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:cultural-dynamics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://where.raysend.com/public/manuscript/Adams_QGEN_2008.pdf">
    <title>&quot;HERITABILITY AND SELECTION OF DOMINANCE RANK IN FEMALE RED DEER&quot; by Mark James Adams</title>
    <dc:date>2008-08-21T21:37:22+00:00</dc:date>
    <link>http://where.raysend.com/public/manuscript/Adams_QGEN_2008.pdf</link>
    <dc:creator>Vaguery</dc:creator><dc:subject>thesis academia paper biology ethology statistics to-read</dc:subject>
<dc:identifier>https://pinboard.in/u:Vaguery/b:fccb9ba7e9f6/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:thesis"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:academia"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:paper"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:ethology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:to-read"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.wireless.is/projects/crows/">
    <title>Joshua Klein, Mobile, Personal, and Future Technology Specialist</title>
    <dc:date>2008-03-15T22:56:47+00:00</dc:date>
    <link>http://www.wireless.is/projects/crows/</link>
    <dc:creator>Vaguery</dc:creator><dc:subject>via:cshalizi ethology biology social-norms sociology behavior experiment art</dc:subject>
<dc:identifier>https://pinboard.in/u:Vaguery/b:992ffb18c16d/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:via:cshalizi"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:ethology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:biology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-norms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:sociology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:behavior"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:experiment"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:art"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://cs.unm.edu/~aaron/blog/archives/2007/02/time_traveling.htm">
    <title>Structure+Strangeness: Time traveling birds</title>
    <dc:date>2007-02-25T14:08:36+00:00</dc:date>
    <link>http://cs.unm.edu/~aaron/blog/archives/2007/02/time_traveling.htm</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[They're dinosaurs. Of course they knew how to plan for the future... they got wings, didn't they?
]]></description>
<dc:subject>ethology cognition birds science anthropic-bias planning</dc:subject>
<dc:identifier>https://pinboard.in/u:Vaguery/b:491989713a25/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:ethology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:cognition"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:birds"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:anthropic-bias"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:planning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://itre.cis.upenn.edu/~myl/languagelog/archives/004230.html">
    <title>Language Log: For first time, chimps seen making pencils</title>
    <dc:date>2007-02-24T16:04:45+00:00</dc:date>
    <link>http://itre.cis.upenn.edu/~myl/languagelog/archives/004230.html</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Note <i>all</i> my tags...
]]></description>
<dc:subject>ethology anthropology chimpanzees satire language culture</dc:subject>
<dc:identifier>https://pinboard.in/u:Vaguery/b:480d8def5b94/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:ethology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:anthropology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:chimpanzees"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:satire"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:language"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:culture"/>
</rdf:Bag></taxo:topics>
</item>
</rdf:RDF>