Titlebook: Dynamic Worlds; From the Frame Probl Remo Pareschi,Bertram Fronh?fer Book 1999 Springer Science+Business Media Dordrecht 1999 intelligent s

要控制

Knowledge Base Merging by Majority,fs. held by different agents. At the same time, these systems want to extract additional knowledge that is not locally held by any agent, but collectively by all of them (called . in [12]). For example, if an agent knows . and another agent knows . → ., then combining their knowledge yields ., even though neither one of them individually knows ..

cringe

Book 1999 the topics treated are logics for reasoning aboutactions and planning, belief revision and the reconciliation oflogically conflicting inputs, resolving of conflicts by merging ofknowledge and issues in the evolution in object-oriented databases..The book is aimed at the researcher and advanced student active inthis field.

Frequency

em solving (see newspapers, reports, and papers and books written on planning, qualitative reasoning, etc. [27, 8]. By combining special purpose diagrammatic representations with general purpose sentential representations we hope to get the best of both worlds, generality and efficiency.

QUAIL

Heterogeneous Systems for Modeling Dynamic Worlds,em solving (see newspapers, reports, and papers and books written on planning, qualitative reasoning, etc. [27, 8]. By combining special purpose diagrammatic representations with general purpose sentential representations we hope to get the best of both worlds, generality and efficiency.

切碎

Book 1999aces, programming environments, etc. In realityany such system has to cope with a changing world and its dynamics.Hence it is of great importance that reasoning must account for copingwith change in order to be truly useful in practice. .The book comprises several contributions to current ways ofapp

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外觀(guān)

Knowledge Base Merging by Majority, information. Systems organized around reasoning agents [12, 6] face the similar problem of resolving conflicts among contradictory knowledge or beliefs. held by different agents. At the same time, these systems want to extract additional knowledge that is not locally held by any agent, but collecti

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