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Collective intelligence / Behavior / Zoology / Swarm intelligence / Swarm behaviour / Swarm robotics / Ant colony optimization algorithms / Robot / Autonomous robot / Biology / Beekeeping / Multi-agent systems


Bee-inspired foraging in an embodied swarm (Demonstration) ∗ Sjriek Alers , Daan Bloembergen, Daniel Hennes, Steven de Jong, Michael Kaisers, Nyree Lemmens, Karl Tuyls, and Gerhard Weiss
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Document Date: 2012-04-29 08:04:30

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File Size: 417,42 KB

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City

Glasgow / Taipei / /

Company

Princeton University Press / Fortis / Autonomous Systems / Multiagent Systems / Multi Agent Systems / /

Country

Taiwan / United Kingdom / /

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Facility

Maastricht University / Gerhard Weiss Maastricht University / /

IndustryTerm

food location / mobile ad-hoc networks / search experience / virtual food / optimization algorithm / food source robot / food source / bee foraging algorithm / food-source robots / e-puck / food sources / food-source behavior / bee-inspired optimization algorithms / food / artificial systems / /

Organization

Gerhard Weiss Maastricht University / Maastricht University / Princeton University / Experimentation Keywords Swarm Intelligence / Organisation for Scientific Research / International Foundation for Autonomous Agents / Distributed Artificial Intelligence / National Academy of Sciences / Swarm Intelligence / /

Person

Gerhard Weiss / Daniel Hennes / Steven de Jong / Karl Tuyls / Michael Kaisers / Nyree Lemmens / /

Position

form ∗Contact author / General / /

PublishedMedium

Proceedings of the National Academy of Sciences / Physica A / Lecture Notes in Computer Science / /

Technology

artificial intelligence / embodied algorithm / bee foraging algorithm / bee-inspired optimization algorithms / bee-inspired algorithms / simulation / optimization algorithm / routing algorithm / pheromones / /

URL

www.ifaamas.org / http /

SocialTag