Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/2021
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dc.contributor.authorCan, Fatih Cemal-
dc.contributor.authorBayram, Çağdaş-
dc.contributor.authorToksoy, Ahmet Kaan-
dc.contributor.authorAvşar, Hakan-
dc.contributor.authorÖzdemir, Serhan-
dc.date.accessioned2016-08-01T09:09:11Z
dc.date.available2016-08-01T09:09:11Z
dc.date.issued2005
dc.identifier.citationCan, F. C., Bayram, Ç., Toksoy, A. K., Avşar, H., Özdemir, S. (2005). Characterization of swarm behavior through pair-wise interactions by tsallis entropy. In H. R. Arabnia, & R. Joshua (Eds.), Proceedings of the 2005 International Conference on Artificial Intelligence, ICAI 05. Paper presented at 2005 International Conference on Artificial Intelligence, ICAI 05 (USA), Las Vegas, 27 - 30 June (pp. 736-741). Las Vegas, Nevada : CSREA Press.en_US
dc.identifier.isbn9781932415667
dc.identifier.urihttp://hdl.handle.net/11147/2021
dc.description.abstractThis paper tries to look at the interactions of a swarm of two at an elementary level. The change in the swarm entropy during the interactions is investigated. The characterization of swarm behavior has been subsumed in four modes, i.e. normal-free, normal-swarm, feeding and obstacle modes. Based on these modes, an entropy based algorithm is constructed to observe pair-wise interactions for each mode. For these modes, individuals of swarm are taken into account as self-driven interacting particles in the mathematical model. Statistical entropy definitions are used to control individual's behavior in feeding and obstacle modes. Individuals lose interactions enabling swarm behavior in feeding mode because of the priority of feeding for individuals as in nature. On the other hand, when swarm confronts an obstacle, individuals interact as much as they can. However they may lose interaction, depending on the size of the obstacle and position of the individuals. For feeding and obstacle modes, it is observed that Tsallis Entropy fits in the simulation better than other entropy definitions such as Shannon and Renyi.en_US
dc.language.isoenen_US
dc.publisherCSREA Pressen_US
dc.relation.ispartof2nd Indian International Conference on Artificial Intelligence, IICAI 2005en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectDistributed behavioren_US
dc.subjectPair-wise interactionsen_US
dc.subjectSwarm intelligenceen_US
dc.subjectTsallis entropyen_US
dc.titleCharacterization of swarm behavior through pair-wise interactions by tsallis entropyen_US
dc.typeConference Objecten_US
dc.authoridTR130950en_US
dc.institutionauthorÖzdemir, Serhan-
dc.departmentİzmir Institute of Technology. Mechanical Engineeringen_US
dc.identifier.volume2en_US
dc.identifier.startpage736en_US
dc.identifier.endpage741en_US
dc.identifier.wosWOS:000236070700109en_US
dc.identifier.scopus2-s2.0-60749129924en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
item.openairetypeConference Object-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.grantfulltextopen-
crisitem.author.dept03.10. Department of Mechanical Engineering-
Appears in Collections:Mechanical Engineering / Makina Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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