Abstract of FKI-250-05

Document-Name: 	fki-250-05
Title:		Exposing the Communication Level of Open Systems: Expectations, Social Attitudes and Multi-Source Assertions 
		[abridged version to appear in the Proceedings of the Third International Workshop on Logic and Communication in Multi-Agent Systems (LCMAS'05)] 
Authors:	Matthias Nickles 
Revision-Date:  July 2005
Category:	Technical Report (Forschungsberichte Künstliche Intelligenz)
Abstract:	Traditional approaches to the modeling of autonomous agents and other information sources 
		still rely mainly either on the ascription of mental properties like beliefs and intentions to 
		the various individual agents, or on the often illusory assumption of commonly 
		agreed knowledge and reconcilable intentions among the agents. The former 
		so-called mentalistic approaches are, if applicable, very powerful, but
		become problematic in open environments like open multiagent systems, the Semantic 
		Web and Peer2Peer systems with truly autonomous, self-interested grey- or black-box
		actors with limited trustability. As an approach to this issue, this paper proposes 
		social attitudes (\emph{communication attitudes}) in form of dynamic, revisable \emph{ostensible
		beliefs} (also called \emph{opinions}) and \emph{ostensible intentions} as a foundational 
		means for the logical, external description of agents (especially their public assertions and 
		goals), in order to retain the advantages of BDI-based mentalistic agent models as far 
		as possible, but with verifiable results without the need to speculate about hidden agent 
		internals. As potential applications, communication attitudes allow for a simultaneous 
		reasoning about the ”public image(-s)” of a certain agent and 
		her mental properties without blurring interferences, new approaches to communication 
		language semantics, and a fine grained, statement-level concept of trustability.
		As a further application of communication attitudes, we introduce multi-source opinions
		and opinion bases. These allow for the computational representation of semantically heterogeneous
		knowledge, including the integrated representation of inconsistent knowledge in a socially
		reified form, and a probabilistic weighting of possibly indefinite and inconsistent assertions
		explicitly attributed to different provenances and social contexts (social semantics).
Keywords:	Agent Communication, Open Environments, Semantic Web, Information Integration, BDI, FIPA, Information Provenance
Size:		22 pages
Language:	English
ISSN:		0941-6358
Copyright:      The ``Forschungsberichte Künstliche Intelligenz''
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