Motivating Agents in Unreliable Environments: A Computational Model

Autor:	Gabriele Kern-Isberner, Matthias Thimm, Regina Fritsch, Patrick Krümpelmann
Rok vydání:	2011
Předmět:	Knowledge management business.industry Computer science media_common.quotation_subject Rational agent Proactivity computer.software_genre Intelligent agent Order (exchange) Mental state Personality business computer media_common
Zdroj:	Multiagent System Technologies ISBN: 9783642246029 MATES
DOI:	10.1007/978-3-642-24603-6_8
Popis:	The development of formalmodels for rational agents ismainly driven by the well-established BDI approach which divides an agent's mental state into beliefs, desires, and intentions. In this paper, we argue that motivation as well has to be taken into account in order to allow for a flexible and proactive behavior of intelligent agents in unreliable environments. In our approach, motives take the role of describing an agent's personality and are the driving force for creating desires and abandoning previously selected goals. We investigate the relationships between motives and their associated desires as well as the impact brought about by the uncertainty and unreliability of the environment.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d27442d804911c36e0f225e173b6d41c https://doi.org/10.1007/978-3-642-24603-6_8 Zobrazit plný text záznamu