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Titlebook: Computational Logic in Multi-Agent Systems; 6th International Wo Francesca Toni,Paolo Torroni Conference proceedings 2006 Springer-Verlag B

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31#
發(fā)表于 2025-3-27 00:48:13 | 只看該作者
32#
發(fā)表于 2025-3-27 02:16:56 | 只看該作者
Trustworthiness by Defaultcted; from this, a priority structure is derived and applied to the problem of forming the right opinion. Consolidated with an unquestioned knowledge base, this provides an unambiguous account of what an agent should believe, conditionally on which information sources are trusted. Applications in multi-agent doxastic logic are sketched.
33#
發(fā)表于 2025-3-27 08:50:57 | 只看該作者
34#
發(fā)表于 2025-3-27 12:10:45 | 只看該作者
35#
發(fā)表于 2025-3-27 14:11:19 | 只看該作者
G. Suresh,M. R. Ramesh,M. S. Srinathg the knowledge bases, capabilities, transitions and control. For each of these we summarise what is provided by the model, and through the platform implementing the model, and what is left to the users to specify according to the requirements of the applications for which they wish to use the KGP model to design agents.
36#
發(fā)表于 2025-3-27 21:31:07 | 只看該作者
G. Suresh,M. R. Ramesh,M. S. Srinathol specification we can specify different . of agents, how they would vary the . of agents and what advantages they have with respect to factors in the application and in the environment, such as time-criticality.
37#
發(fā)表于 2025-3-27 23:26:56 | 只看該作者
Establishing an academic domainription logics to reason within contexts (intra-contextual reasoning), allowing at the same time the possibility to reason also about contexts and their interplay (inter-contextual reasoning). Using this framework, two complex scenarios are discussed in detail and formalized.
38#
發(fā)表于 2025-3-28 05:26:33 | 只看該作者
39#
發(fā)表于 2025-3-28 06:38:56 | 只看該作者
40#
發(fā)表于 2025-3-28 10:45:09 | 只看該作者
Studies in Fuzziness and Soft Computing about belief and common belief of agents. We prove that the presented SLD-resolution calculus is sound and complete. We also present a formalization of the wise men puzzle using a modal logic program in .4..5.. This shows that it is worth to study modal logic programming for multi-agent systems.
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