A Reasoning System for Fuzzy Distributed Knowledge Representation in Multi-Agent Systems

Yoshihiro Maruyama

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Citation (Scopus)

    Abstract

    Knowledge does not necessarily exist only within a single agent; it may exist collectively within a number of agents combined together (cf. the wisdom of the crowd), and this sort of knowledge is called distributed knowledge. In light of bounded rationality and uncertainty, distributed knowledge can be incomplete, and there may be gradations in the certainty of distributed knowledge, that is, knowledge may be distributed within a system of agents up to some degree of certainty only. Fagin, Halpern, Moses, and Vardi gave an axiomatic system for reasoning about distributed knowledge, and developed a special technique to prove its fundamental properties such as completeness. Here we extend their classic results so as to incorporate fuzzy distributed knowledge; in addition we prove several other properties of fuzzy modal systems such as the finite model property and Gödel-style translation theorems.

    Original languageEnglish
    Title of host publicationIEEE CIS International Conference on Fuzzy Systems 2021, FUZZ 2021 - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781665444071
    DOIs
    Publication statusPublished - 11 Jul 2021
    Event2021 IEEE CIS International Conference on Fuzzy Systems, FUZZ 2021 - Virtual, Online, Luxembourg
    Duration: 11 Jul 202114 Jul 2021

    Publication series

    NameIEEE International Conference on Fuzzy Systems
    Volume2021-July
    ISSN (Print)1098-7584

    Conference

    Conference2021 IEEE CIS International Conference on Fuzzy Systems, FUZZ 2021
    Country/TerritoryLuxembourg
    CityVirtual, Online
    Period11/07/2114/07/21

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