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  • Self-Assembling Games: Language, Learning, and Inquiry

    Self-Assembling Games by Barrett, Jeffrey A.;

    Language, Learning, and Inquiry

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      • Publisher's listprice GBP 68.00
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        30 702 Ft (29 240 Ft + 5% VAT)
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    30 702 Ft

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    Product details:

    • Publisher OUP USA
    • Date of Publication 21 July 2026

    • ISBN 9780197793541
    • Binding Hardback
    • No. of pages312 pages
    • Size 198x140x30 mm
    • Weight 476 g
    • Language English
    • Illustrations 34 b/w figures and graphs
    • 700

    Categories

    Short description:

    The theory of self-assembling games studies how evolutionary games emerge from basic interactions, and explores how the structure of a game may evolve on its continued play. Self Assembling Games offers readers new ways of considering game-theoretic ritualization, analyzing signalling, inference, compositional language, and attention as examples of this phenomenon.

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    Long description:

    The theory of self-assembling games studies how evolutionary games emerge from basic interactions, and explores how once formed, the structure of a game may evolve on continued play. In Self Assembling Games, Jeffrey A. Barrett offers an incisive analysis of hierarchical, dialogue, and network-style games, illustrating how trial-and-error learners coevolve meaningful language and inferential capacities, how social structures that allow for more reliable learning emerge, and how learning itself develops in more sophisticated ways throughout this process.

    In a philosophical exploration of self-assembling games' impact on animal and human behaviour, Barrett follows a continuous philosophical thread, providing a framework for a thoughtful pragmatic account of empirical inquiry. In demonstrating how simple agents may evolve meaningful language, useful social connections, and better ways of learning as they succeed and fail together in action, Self Assembling Games offers readers new ways of considering game-theoretic ritualization at large.

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    Table of Contents:

    Chapter 1: Self assembly and games
    Chapter 2: Learning to signal
    Chapter 3: Generalized signaling games
    Chapter 4: Assembling games from decisions
    Chapter 5: Rule following and template transfer
    Chapter 6: Modular composition and the evolution of salience
    Chapter 7: The self-assembly of computation
    Chapter 8: Learning to take turns
    Chapter 9: The evolution of networks
    Chapter 10: The self-assembling of inquiry
    Chapter 11: The ways of learning
    Chapter 12: Learning how to learn
    Chapter 13: Self-assembling games and explanation

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