Fuzzy Mediation for Online Learning in Autonomous Agents

dc.contributor.authorVincenti, Giovanni
dc.contributor.authorTrajkovski, Goran
dc.date.accessioned2017-09-20T13:01:42Z
dc.date.available2017-09-20T13:01:42Z
dc.date.issued2006-01
dc.description.abstractInformation fusion is a field that deals with merging multiple inputs to create a single output. Several fusion mechanisms are in place, but none can be easily adapted to accommodate for online learning using a simulator. This paper analyzes the concept of fuzzy mediation as a novel approach to the creation of a framework through simulations of controllers interacting with a controllable object. We propose this new algorithm as a mean to improved methods of learning through positive reinforcement, observation, and direct interaction with the object to be controlled.en_US
dc.format.extent7 pagesen_US
dc.genreconference papers and proceedingsen_US
dc.identifierdoi:10.13016/M25T3G088
dc.identifier.citationVincenti, G., & Trajkovski, G. (2006). Fuzzy mediation for online learning in autonomous agents. In 2006 Fall AAAI Symposium, 1-7.en_US
dc.identifier.urihttp://hdl.handle.net/11603/5416
dc.language.isoen_USen_US
dc.publisherAAAI Conferenceen_US
dc.relation.isAvailableAtUniversity of Baltimore
dc.subjectonline learningen_US
dc.subjectautonomous agentsen_US
dc.subjectinformation fusionen_US
dc.subjectfuzzy mediationen_US
dc.titleFuzzy Mediation for Online Learning in Autonomous Agentsen_US
dc.typeTexten_US

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