dc.contributor.author | Bollam, Sravani | |
dc.contributor.author | Sengupta, Saumendra; Adviser | |
dc.contributor.author | Chiang, Chen-Fu; Reviewer | |
dc.contributor.author | Rezk, Mohamed; Reviewer | |
dc.date.accessioned | 2017-01-09T17:55:41Z | |
dc.date.available | 2017-01-09T17:55:41Z | |
dc.date.issued | 2016-12-20 | |
dc.identifier.uri | http://hdl.handle.net/1951/68702 | |
dc.description | Masters 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.abstract | This 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.subject | Swarm Intelligence Systems | en_US |
dc.subject | Multi-Agent Based Swarm | en_US |
dc.title | Swarm Intelligence in the Multi Agent System Environment | en_US |
dc.type | Thesis | en_US |