Rough mereological foundations for design, analysis, synthesis, and control in distributed systems
Information Sciences: an International Journal - From rough sets to soft computing
A pure mereological approach to roughness
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
Granular Rough Theory: A representation semantics oriented theory of roughness
Applied Soft Computing
ODWIS as a prototype of knowledge service layer in semantic grid
PDCAT'04 Proceedings of the 5th international conference on Parallel and Distributed Computing: applications and Technologies
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The present paper focuses on adapting the Granular Rough Theory to a Multi-Agent system. By transforming the original triple form atomic granule into a quadruple, we encapsulate agent-specific view point into information granules to mean "an agent knows/believes that a given entity has the attribute type with the specific value". Then a quasi-Cartesian qualitative coordinate system named Granule Space is defined to visualize information granules due to their agent views, entity identities and attribute types. We extend Granular Rough Theory into new versions applicable to the 3-D information cube based M-Information System. Then challenges in MAS context to rough approaches are analyzed, in forms of an obvious puzzle. Though leaving systematic solutions as open issues, we suggest auxiliary measurements to alleviate, at least as tools to evaluate, the invalidity of rough approach in MAS.