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dc.contributor.advisorHiles, John
dc.contributor.advisorZyda, Michael
dc.contributor.authorRoddy, Kimberly A.
dc.contributor.authorDickson, Michael R.
dc.date.accessioned2012-08-09T18:47:53Z
dc.date.available2012-08-09T18:47:53Z
dc.date.issued2000-09-01
dc.identifier.urihttp://hdl.handle.net/10945/7739
dc.description.abstractToday's modeling and simulation communities are being challenged to create rich, detailed models incorporating human decision-making and organizational behavior. Recent advances in distributed artificial intelligence and complex systems theory have demonstrated that such ill-defined problems can be effectively modeled with agent-based simulation techniques using multiple, autonomoous, adaptive entities. RELATE, a relation-centric design paradigm for multi-agent systems (MAS), is presented to assist developers incorporate MAS solutions into their simulations. RELATe focuses the designer on six key concepts of MAS simulations: relationships, environment, laws, agents, things, and effectors. A library of Java classes is presented which enables the user to rapidly prototype an agent-based simulation. This library utilizes the Java programming language to support cross-platform and web based designs. All Java classes and interfaces are fully documented using HTML Javadoc format. Two reference cases are provided that allow for easy code reuse and modification. Finally, an existing metworked DIS-Java-VRML simulation was modified to demonstrate the ability to utilize the RELATE library to add agents to existing applications. LCDR Kim Roddy focused on the development and refinement of the RELATE design paradigm, while LT Mike Dickson focused on the actual Java implementation. Joint work was conducted on all research and reference casesen_US
dc.description.urihttp://www.archive.org/details/modelinghumanorg00rodd
dc.format.extentxx, 140 p. 1 computer laser optical disk;28 cm.en_US
dc.language.isoen_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.titleModeling human and organizational behavior using a relation-centric multi-agent system design paradigmen_US
dc.typeThesisen_US
dc.contributor.departmentModeling, Virtual Environments and Simulation (MOVES)
dc.description.serviceU.S. Navy (U.S.N.) author.en_US
dc.identifier.oclcocn640950164
etd.thesisdegree.nameM.S. in Modeling, Virtual Environments and Simulation (MOVES)en_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineModeling, Virtual Environments and Simulation (MOVES)en_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US


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