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A Syntactic Approach to Revising Epistemic States with Uncertain Inputs

AutorBauters, Kim; Liu, Weiru; Hong, Jun; Godo, Lluis ; Sierra, Carles
Palabras claveBelief change
Complex agent
Agent based
Intelligent systems
Artificial intelligence
Epistemic state
Syntactic approach
Resource-bounded
Fecha de publicación10-nov-2014
EditorInstitute of Electrical and Electronics Engineers. Computer Group
Citación26th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2014; Limassol; Cyprus; 10 November 2014 through 12 November 2014. Proceedings, pp.154-161, 2014
ResumenRevising its beliefs when receiving new information is an important ability of any intelligent system. However, in realistic settings the new input is not always certain. A compelling way of dealing with uncertain input in an agent-based setting is to treat it as unreliable input, which may strengthen or weaken the beliefs of the agent. Recent work focused on the postulates associated with this form of belief change and on finding semantical operators that satisfy these postulates. In this paper we propose a new syntactic approach for this form of belief change and show that it agrees with the semantical definition. This makes it feasible to develop complex agent systems capable of efficiently dealing with unreliable input in a semantically meaningful way. Additionally, we show that imposing restrictions on the input and the beliefs that are entailed allows us to devise a tractable approach suitable for resource-bounded agents or agents where reactive ness is of paramount importance. © 2014 IEEE.
URIhttp://hdl.handle.net/10261/131363
DOI10.1109/ICTAI.2014.32
Identificadoresdoi: 10.1109/ICTAI.2014.32
issn: 10823409
isbn: 978-147996572-4
Aparece en las colecciones: (IIIA) Comunicaciones congresos
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