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Fuzzy neighborhood semantics for multi-agent probabilistic reasoning in games

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F20%3AA210244U" target="_blank" >RIV/61988987:17610/20:A210244U - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1007/978-3-030-50153-2_50" target="_blank" >https://doi.org/10.1007/978-3-030-50153-2_50</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-50153-2_50" target="_blank" >10.1007/978-3-030-50153-2_50</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Fuzzy neighborhood semantics for multi-agent probabilistic reasoning in games

  • Original language description

    In this contribution we apply fuzzy neighborhood semantics to multiple agents' reasoning about each other's subjective probabilities, especially in game-theoretic situations. The semantic model enables representing various game-theoretic notions such as payoff matrices or Nash equilibria, as well as higher-order probabilistic beliefs of the players about each other's choice of strategy. In the proposed framework, belief-dependent concepts such as the strategy with the best expected value are formally derivable in higher-order fuzzy logic for a large class of matrix games.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10200 - Computer and information sciences

Result continuities

  • Project

    <a href="/en/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Information Processing and Management of Uncertainty in Knowledge-Based Systems (CCIS, volume 1239)

  • ISBN

    978-3-030-50152-5

  • ISSN

    1865-0929

  • e-ISSN

  • Number of pages

    14

  • Pages from-to

    680-693

  • Publisher name

    Springer Nature

  • Place of publication

    Lisbon

  • Event location

    Lisabon

  • Event date

    Jun 15, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article