Title :
Approximate Reasoning in MAS: Rough Set Approach
Author :
Skowron, Andrzej
Author_Institution :
Inst. of Math., Warsaw Univ., Warsaw
Abstract :
In modeling multiagent systems for real-life problems, techniques for approximate reasoning about vague concepts and dependencies (ARVCD) are necessary. We discuss an approach to approximate reasoning based on rough sets. In particular, we present a number of basic concepts such as approximation spaces, concept approximation, rough inclusion, construction of information granules in calculi of information granules, and perception logic.
Keywords :
formal logic; inference mechanisms; multi-agent systems; rough set theory; uncertainty handling; ARVCD; MAS modeling; approximate reasoning; approximation spaces; concept approximation; information granules; multiagent systems; perception logic; rough inclusion; rough set approach; vague concepts; Boolean functions; Data mining; Logic; Mathematical model; Mathematics; Multiagent systems; Ontologies; Pattern analysis; Rough sets; Set theory;
Conference_Titel :
Intelligent Agent Technology, 2006. IAT '06. IEEE/WIC/ACM International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2748-5
DOI :
10.1109/IAT.2006.38
