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Science / Multi-agent systems / Foraging / Action selection / Asymmetric information / Agent-based model / Flocking / Affect / Agent / Ethology / Artificial intelligence / Behavior


Phil. Trans. R. Soc. B doi:[removed]rstb[removed]Published online An agent-based model of group decision making in baboons
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Document Date: 2007-05-04 09:34:56


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City

Manchester / Nottingham / Durham / /

Company

Norton / Roper / /

Country

South Africa / United Kingdom / /

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Event

Environmental Issue / /

Facility

Durham University / University of Manchester / University of Nottingham / /

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software system / energy score / food availability predation risk acacia woodland / maximum food availability / vegetation food availability / animal groups / energy failure / travel destination / food availability / food patches / food species / cohesive groups / closest sleeping site / explicit agent systems / energy score depending / food types / social / software state / food / search radius / energy / Energy costs / food distribution / energy balance / search costs / sufficient food / energy cost / energy intake / lower travel / food intake rate / prey systems / energy budgets / multi-agent simulation tools / chemical and calorific analysis / energy value / geographical information systems / appropriate food intake rate / maximum travel distance / /

NaturalFeature

Virunga Volcanoes / /

OperatingSystem

Cygnus / /

Organization

UK Department of Anthropology / Faculty of Life Science / Durham University / School of Computer Science / University of Nottingham / US Federal Reserve / IT / University of Manchester / Royal Society / /

Person

Charlotte Hemelrijk Phil / /

PoliticalEvent

democratic voting / /

Position

Author / model of agency / /

Region

sub-Saharan Africa / /

Technology

artificial intelligence / simulation / /

URL

http /

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