Foraging swarms as Nash equilibria of dynamic games
dc.citation.epage | 987 | en_US |
dc.citation.issueNumber | 6 | en_US |
dc.citation.spage | 979 | en_US |
dc.citation.volumeNumber | 44 | en_US |
dc.contributor.author | Özgüler, A. B. | en_US |
dc.contributor.author | Yildiz, A. | en_US |
dc.date.accessioned | 2016-02-08T11:01:14Z | |
dc.date.available | 2016-02-08T11:01:14Z | |
dc.date.issued | 2014 | en_US |
dc.department | Department of Electrical and Electronics Engineering | en_US |
dc.description.abstract | The question of whether foraging swarms can form as a result of a noncooperative game played by individuals is shown here to have an affirmative answer. A dynamic game played by N agents in 1-D motion is introduced and models, for instance, a foraging ant colony. Each agent controls its velocity to minimize its total work done in a finite time interval. The game is shown to have a unique Nash equilibrium under two different foraging location specifications, and both equilibria display many features of a foraging swarm behavior observed in biological swarms. Explicit expressions are derived for pairwise distances between individuals of the swarm, swarm size, and swarm center location during foraging. | en_US |
dc.description.provenance | Made available in DSpace on 2016-02-08T11:01:14Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2014 | en |
dc.identifier.doi | 10.1109/TCYB.2013.2283102 | en_US |
dc.identifier.issn | 2168-2267 | |
dc.identifier.uri | http://hdl.handle.net/11693/26536 | |
dc.language.iso | English | en_US |
dc.publisher | IEEE | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1109/TCYB.2013.2283102 | en_US |
dc.source.title | IEEE Transactions on Cybernetics | en_US |
dc.subject | Artificial potentials | en_US |
dc.subject | differential game | en_US |
dc.subject | Hamilton-Jacobi | en_US |
dc.subject | multiagent systems | en_US |
dc.subject | Nash equilibrium | en_US |
dc.subject | Ant colony optimization | en_US |
dc.subject | Game theory | en_US |
dc.subject | Multi agent systems | en_US |
dc.subject | Artificial potentials | en_US |
dc.subject | Differential games | en_US |
dc.subject | Hamilton-Jacobi | en_US |
dc.subject | Nash equilibria | en_US |
dc.subject | Telecommunication networks | en_US |
dc.subject | Computer Simulation | en_US |
dc.subject | Cybernetics | en_US |
dc.subject | Game Theory | en_US |
dc.subject | Models, Biological | en_US |
dc.title | Foraging swarms as Nash equilibria of dynamic games | en_US |
dc.type | Article | en_US |
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