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        Logic and the Foundations of Game and Decision Theory (LOFT 7)

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        Contributor(s)
        van der Hoek, Wiebe (editor)
        Bonanno, Giacomo (editor)
        Wooldridge, Michael (editor)
        Language
        English
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        Abstract
        This volume collects together revised papers originally presented at the 7th Conference on Logic and the Foundations of Game and Decision Theory (LOFT 2006). LOFT is a key venue for presenting research at the intersection of logic, economics and computer science, and the present collection gives a lively and wide-ranging view of an exciting and rapidly growing area.
         
        Tijdens de zevende conferentie Logic and the Foundations of Game and Decision Theory (LOFT 2006) werd een aantal essays gepresenteerd. Deze zijn nu gebundeld in LOFT 7. LOFT is hét podium voor onderzoek naar de kruisbestuiving van logica, economie en IT. De essays in dit boek geven een levendige en brede kijk op een dynamisch en snelgroeiend onderzoeksgebied.
         
        URI
        http://library.oapen.org/handle/20.500.12657/35249
        Keywords
        awareness; interactive agency; game theory; philosophy; economics; economie; social software; common belief; rationality; common knowledge; filosofie; mathematics; wiskunde; epistemic logic; belief revision
        DOI
        10.5117/9789089640260
        ISBN
        9789089640260
        OCN
        310602575
        Publisher
        Amsterdam University Press
        Publisher website
        https://www.aup.nl/
        Publication date and place
        2008
        Series
        Texts in Logic and Games, 3
        Classification
        Philosophy
        Economics, Finance, Business and Management
        Mathematics
        Pages
        240
        Rights
        All rights reserved
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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