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dc.contributor.authorBollam, Sravani
dc.contributor.authorSengupta, Saumendra; Adviser
dc.contributor.authorChiang, Chen-Fu; Reviewer
dc.contributor.authorRezk, Mohamed; Reviewer
dc.date.accessioned2017-01-09T17:55:41Z
dc.date.available2017-01-09T17:55:41Z
dc.date.issued2016-12-20
dc.identifier.urihttp://hdl.handle.net/1951/68702
dc.descriptionMasters of Science Thesis in Computer and Information Sciences Department of Computer Sciences, SUNY Polytechnic Institute. Approved and recommended for acceptance as a thesis in partial fulfillment of the requirements for the degree of Master of Science in Computer and Information Science.en_US
dc.description.abstractThis thesis is focused on the use of naturally occurring concept of “swarm intelligence” to multiagentcsystems, namely the relatively new system-theoretic framework known as Swarm Intelligence Systems (SIS). In this work, outlined is the general framework of an interacting agents behaving as a swarm group on a mission to deliver a service such as transporting a set of goods from a given starting point to a destination. As an example, one could think of a team of drones, for instance, providing a delivery service in a milieu where normal transportation mode may be prohibitively expensive. The entire logistic, in detail as a commercial project, is too involved for our thesis focus; instead, some of the structural interaction issues with a group are outlined and discussed here to articulate the behavior of multi-agent based swarm as a group necessary to function as a distributed entity somewhat different from the standard swarm models found in literature.en_US
dc.subjectSwarm Intelligence Systemsen_US
dc.subjectMulti-Agent Based Swarmen_US
dc.titleSwarm Intelligence in the Multi Agent System Environmenten_US
dc.typeThesisen_US


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