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dc.contributor.authorHaque, Musad A.
dc.contributor.authorRahmani, Amir R.
dc.contributor.authorEgerstedt, Magnus B.
dc.date.accessioned2011-04-18T17:52:36Z
dc.date.available2011-04-18T17:52:36Z
dc.date.issued2010-12
dc.identifier.citationM. Haque, A. Rahmani, and M. Egerstedt. Geometric Foraging Strategies in Multi-Agent Systems Based on Biological Models. IEEE Conference on Decision and Control, Atlanta, GA, Dec. 2010.en_US
dc.identifier.issn0743-1546
dc.identifier.urihttp://hdl.handle.net/1853/38571
dc.description(c) 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.en_US
dc.descriptionDigital Object Identifier : 10.1109/CDC.2010.5717805
dc.description.abstractIn nature, communal hunting is often performed by predators by charging through an aggregation of prey. However, it has been noticed that variations exist in the geometric shape of the charging front; in addition, distinct differences arise between the shapes depending on the particulars of the feeding strategy. For example, each member of a dolphin foraging group must contribute to the hunt and will only be able to eat what it catches. On the other hand, some lions earn a "free lunch" by feigning help and later feasting on the prey caught by the more skilled hunters in the foraging group. We model the charging front of the predators as a curve moving through a prey density modeled as a reaction-diffusion process and we optimize the shape of the charging front in both the free lunch and no-free-lunch cases. These different situations are simulated under a number of varied types of predator-prey interaction models, and connections are made to multi-agent robot systems.en_US
dc.language.isoen_USen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.subjectMulti-agent systemsen_US
dc.subjectBiological modelsen_US
dc.subjectPredator-prey systemsen_US
dc.titleGeometric Foraging Strategies in Multi-Agent Systems Based on Biological Modelsen_US
dc.typeArticleen_US
dc.typeProceedingsen_US
dc.contributor.corporatenameGeorgia Institute of Technology. School of Electrical and Computer Engineering
dc.contributor.corporatenameGeorgia Institute of Technology. Center for Robotics and Intelligent Machines
dc.publisher.originalInstitute of Electrical and Electronics Engineers


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