Communicating neural network knowledge between agents in a simulated aerial reconnaissance system

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dc.contributor.authorQuirolgico, Stephen
dc.contributor.authorCanfield, Kip
dc.contributor.authorFinin, Timothy
dc.contributor.authorSmith, James A.
dc.date.accessioned2019-02-08T18:36:13Z
dc.date.available2019-02-08T18:36:13Z
dc.date.issued1999-10-03
dc.descriptionFirst International Symposium on Agent Systems and Applications,en_US
dc.description.abstractIn order to maintain their performance in a dynamic environment, agents may be required to modify their learning behavior during run-time. If an agent utilizes a rule-based system for learning, new rules may be easily communicated to the agent in order to modify the way in which it learns. However, if an agent utilizes a connectionist-based system for learning, the way in which the agent learns typically remains static. This is due, in part, to a lack of research in communicating subsymbolic information between agents. In this paper, we present a framework for communicating neural network knowledge between agents in order to modify an agent’s learning and pattern classification behavior. This framework is applied to a simulated aerial reconnaissance system in order to show how the communication of neural network knowledge can help maintain the performance of agents tasked with recognizing images of mobile military objects.en_US
dc.description.urihttps://ieeexplore.ieee.org/document/805408en_US
dc.format.extent13 pagesen_US
dc.genreconference papers and proceedings preprintsen_US
dc.identifierdoi:10.13016/m2l7ii-fvf8
dc.identifier.citationStephen Quirolgico and Kip Canfield, Timothy Finin, James A. Smith, Communicating neural network knowledge between agents in a simulated aerial reconnaissance system, Proceedings. First and Third International Symposium on Agent Systems Applications, and Mobile Agents , 1999, DOI: 10.1109/ASAMA.1999.805408en_US
dc.identifier.uri10.1109/ASAMA.1999.805408
dc.identifier.urihttp://hdl.handle.net/11603/12750
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Information Systems Department
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.rights© 1999 IEEE
dc.subjectneural networksen_US
dc.subjectintelligent networksen_US
dc.subjectreconnaissanceen_US
dc.subjectpattern classificationen_US
dc.subjectcomputational modellingen_US
dc.subjectinformation systemsen_US
dc.subjectlaboratoriesen_US
dc.subjectsoftware agentsen_US
dc.subjectneural netsen_US
dc.subjectmilitary computingen_US
dc.subjectimage recognitionen_US
dc.subjectdigital simulationen_US
dc.subjectUMBC Ebiquity Research Groupen_US
dc.titleCommunicating neural network knowledge between agents in a simulated aerial reconnaissance systemen_US
dc.typeTexten_US

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