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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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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
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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
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