DocumentCode :
2303400
Title :
Formal approach of chance discovery theory for agents´ interaction
Author :
Zhou, Xuchuan ; Zeng, Yong ; Cai, Liping
Author_Institution :
Coll. of Comput. Sci. & Technol., Southwest Univ. for Nat., Chengdu, China
Volume :
6
fYear :
2010
fDate :
10-12 Aug. 2010
Firstpage :
2908
Lastpage :
2911
Abstract :
The core capability of an agent is it can be make a rational choice for its action decision, so the cooperation among agents is the key for state transformation in a multi-agent system (MAS). In an open and dynamic system, agents must deal with uncertain factors by model those uncertainties into simplified categories that is significant for decision-making in a specified domain. Chance discovery (CD) theory can be used to formalize, descript and study various aspects of problems in this environment. In this paper we study logical properties of operation chance discovery via structures based on hybrid temporal/modal logic. We introduce and study a logic Lk which can be as a formal tool for the description of general laws that reflect reasoning about chance discovery and can build adequate logical models for CD. Study shows that Lk is decidable.
Keywords :
decision making; multi-agent systems; temporal logic; chance discovery theory; decision making; formal approach; hybrid temporal logic; modal logic; multiagent system interaction; Cognition; Computational modeling; Mathematical model; Multiagent systems; Semantics; Transforms; Uncertainty; Multi-agent system (MAS); chance discovery (CD); formal approach; logic system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
Type :
conf
DOI :
10.1109/ICNC.2010.5584104
Filename :
5584104
Link To Document :
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