Formal analysis of a probabilistic knowledge communication framework

Authors:
João Carlos Gluz;Rosa Maria Viccari;Cecilia Dias Flores;Louise Seixas
Affiliations:
PIPCA/UNISINOS, São Leopoldo, RS, Brazil;UFRGS, Porto Alegre, RS, Brazil;UFRGS, Porto Alegre, RS, Brazil;UFRGS, Porto Alegre, RS, Brazil
Venue:
IBERAMIA-SBIA'06 Proceedings of the 2nd international joint conference, and Proceedings of the 10th Ibero-American Conference on AI 18th Brazilian conference on Advances in Artificial Intelligence
Year:
2006

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Abstract

This paper introduces a new formal model, which generalizes current agent communication theories (basically the FIPA version of these theories) to handle probabilistic knowledge communication. Several questions about communication of probabilistic knowledge are discussed in the light of current theories of agent communication and it is argued that exists a semantic gap between these theories and research areas related to probabilistic knowledge representation and communication. This gap creates serious theoretical problems if agents that reason probabilistically try to use communication framework provided by these theories. To diminish this gap it is proposed a modal probabilistic logic and a new communication framework composed of communication principles and acts for probabilistic knowledge communication.