Title:
Geometric Foraging Strategies in Multi-Agent Systems Based on Biological Models
Geometric Foraging Strategies in Multi-Agent Systems Based on Biological Models
dc.contributor.author | Haque, Musad A. | |
dc.contributor.author | Rahmani, Amir R. | |
dc.contributor.author | Egerstedt, Magnus B. | |
dc.contributor.corporatename | Georgia Institute of Technology. School of Electrical and Computer Engineering | |
dc.contributor.corporatename | Georgia Institute of Technology. Center for Robotics and Intelligent Machines | |
dc.date.accessioned | 2011-04-18T17:52:36Z | |
dc.date.available | 2011-04-18T17:52:36Z | |
dc.date.issued | 2010-12 | |
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.description | Digital Object Identifier : 10.1109/CDC.2010.5717805 | |
dc.description.abstract | In 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.identifier.citation | M. 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.issn | 0743-1546 | |
dc.identifier.uri | http://hdl.handle.net/1853/38571 | |
dc.language.iso | en_US | en_US |
dc.publisher | Georgia Institute of Technology | en_US |
dc.publisher.original | Institute of Electrical and Electronics Engineers | |
dc.subject | Multi-agent systems | en_US |
dc.subject | Biological models | en_US |
dc.subject | Predator-prey systems | en_US |
dc.title | Geometric Foraging Strategies in Multi-Agent Systems Based on Biological Models | en_US |
dc.type | Text | |
dc.type.genre | Article | |
dc.type.genre | Proceedings | |
dspace.entity.type | Publication | |
local.contributor.author | Egerstedt, Magnus B. | |
local.contributor.corporatename | School of Electrical and Computer Engineering | |
local.contributor.corporatename | College of Engineering | |
relation.isAuthorOfPublication | dd4872d3-2e0d-435d-861d-a61559d2bcb6 | |
relation.isOrgUnitOfPublication | 5b7adef2-447c-4270-b9fc-846bd76f80f2 | |
relation.isOrgUnitOfPublication | 7c022d60-21d5-497c-b552-95e489a06569 |
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