How Agents Plan Their Actions In Games
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How Agents Plan Their Actions In Games
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Author : Francis Kramarz
language : fr
Publisher:
Release Date : 1993
How Agents Plan Their Actions In Games written by Francis Kramarz and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with categories.
How Agents Plan Their Actions In Games
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Author : Francis Kramarz
language : en
Publisher:
Release Date : 1993
How Agents Plan Their Actions In Games written by Francis Kramarz and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with categories.
How Agents Plan Their Actions In Games A Model Of Players Reasoning Qith Bounded Rationality
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Author : Francis KRAMARZ
language : en
Publisher:
Release Date : 1993
How Agents Plan Their Actions In Games A Model Of Players Reasoning Qith Bounded Rationality written by Francis KRAMARZ and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with categories.
Agents For Games And Simulations Ii
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Author : F. Dignum
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-01-14
Agents For Games And Simulations Ii written by F. Dignum and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-01-14 with Computers categories.
While today's game engines and multi-agent platforms cross-fertilize each other to some extent, the technologies used in these areas are not readily compatible due to some differences in their primary concerns. Where game engines prioritize efficiency and central control, multi-agent platforms focus on agent autonomy and sophisticated communication capabilities. This volume gives an overview of the current state of the art for people wishing to combine agent technology with (serious) games. This state-of-the-art survey contains a collection of papers presented at AGS 2010; the Second International Workshop on Agents for Games and Simulations, held on May 10, 2010, in Toronto, as well as extended versions of papers from other workshops and from the AAMAS conference. The 14 papers are organized in three topical sections focusing on architectures combining agents and game engines, on the training aspects of the games, on social and organizational aspects of games and agents, respectively.
Game Theory And Decision Theory In Agent Based Systems
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Author : Simon D. Parsons
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Game Theory And Decision Theory In Agent Based Systems written by Simon D. Parsons and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
Game Theory And Decision Theory In Agent-Based Systems is a collection of papers from international leading researchers, that offers a broad view of the many ways game theory and decision theory can be applied in agent-based systems, from standard applications of the core elements of the theory to more cutting edge developments. The range of topics discussed in this book provide the reader with the first comprehensive volume that reflects both the depth and breadth of work in applying techniques from game theory and decision theory to design agent-based systems. Chapters include: Selecting Partners; Evolution of Agents with Moral Sentiments in an IPD Exercise; Dynamic Desires; Emotions and Personality; Decision-Theoretic Approach to Game Theory; Shopbot Economics; Finding the Best Way to Join in; Shopbots and Pricebots in Electronic Service Markets; Polynomial Time Mechanisms; Multi-Agent Q-learning and Regression Trees; Satisficing Equilibria; Investigating Commitment Flexibility in Multi-agent Contracts; Pricing in Agent Economies using Multi-agent Q-learning; Using Hypergames to Increase Planned Payoff and Reduce Risk; Bilateral Negotiation with Incomplete and Uncertain Information; Robust Combinatorial Auction Protocol against False-name Bids.
Agents For Games And Simulations
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Author : Frank Dignum
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-12-21
Agents For Games And Simulations written by Frank Dignum and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-12-21 with Computers categories.
Research on multi-agent systems has provided a promising technology for implementing cognitive intelligent non-playing characters. However, the technologies used in game engines and multi-agent platforms are not readily compatible due to some inherent differences in concerns. Where game engines focus on real-time aspects and thus propagate efficiency and central control, multi-agent platforms assume autonomy of the agents. Increased autonomy and intelligence may offer benefits for a more compelling gameplay and may even be necessary for serious games. However, problems occur when current game design techniques are used to incorporate state-of-the-art multi-agent system technology. A very similar argument can be given for agent-based (social) simulation. This volume contains the papers presented at AGS 2009, the First International Workshop on Agents for Games and Simulations, held in Budapest on May 11, 2009. The focus of the workshop was on the particular challenges facing those using agent technology for games and simulations, with topics covering the technical, conceptual and design aspects of the field.
Agents For Educational Games And Simulations
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Author : Martin Beer
language : en
Publisher: Springer
Release Date : 2012-07-20
Agents For Educational Games And Simulations written by Martin Beer and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-07-20 with Computers categories.
This book consists mainly of revised papers that were presented at the Agents for Educational Games and Simulation (AEGS) workshop held on May 2, 2011, as part of the Autonomous Agents and MultiAgent Systems (AAMAS) conference in Taipei, Taiwan. The 12 full papers presented were carefully reviewed and selected from various submissions. The papers are organized topical sections on middleware applications, dialogues and learning, adaption and convergence, and agent applications.
On The Design Of Game Playing Agents
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Author : Eun-Youn Kim
language : en
Publisher: Springer Nature
Release Date : 2022-06-01
On The Design Of Game Playing Agents written by Eun-Youn Kim and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-01 with Mathematics categories.
Evolving agents to play games is a promising technology. It can provide entertaining opponents for games like Chess or Checkers, matched to a human opponent as an alternative to the perfect and unbeatable opponents embodied by current artifical intelligences. Evolved agents also permit us to explore the strategy space of mathematical games like Prisoner's Dilemma and Rock-Paper-Scissors. This book summarizes, explores, and extends recent work showing that there are many unsuspected factors that must be controlled in order to create a plausible or useful set of agents for modeling cooperation and conflict, deal making, or other social behaviors. The book also provides a proposal for an agent training protocol that is intended as a step toward being able to train humaniform agents—in other words, agents that plausibly model human behavior.
Toward A Comparative Institutional Analysis
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Author : Masahiko Aoki
language : en
Publisher: MIT Press
Release Date : 2001-11-09
Toward A Comparative Institutional Analysis written by Masahiko Aoki and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-11-09 with Business & Economics categories.
A conceptual and analytical framework for understanding economic institutions and institutional change. Markets are one of the most salient institutions produced by humans, and economists have traditionally analyzed the workings of the market mechanism. Recently, however, economists and others have begun to appreciate the many institution-related events and phenomena that have a significant impact on economic performance. Examples include the demise of the communist states, the emergence of Silicon Valley and e-commerce, the European currency unification, and the East Asian financial crises. In this book Masahiko Aoki uses modern game theory to develop a conceptual and analytical framework for understanding issues related to economic institutions. The wide-ranging discussion considers how institutions evolve, why their overall arrangements are robust and diverse across economies, and why they do or do not change in response to environmental factors such as technological progress, global market integration, and demographic change.
Agents In The Long Game Of Ai
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Author : Marjorie Mcshane
language : en
Publisher: MIT Press
Release Date : 2024-09-03
Agents In The Long Game Of Ai written by Marjorie Mcshane and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-03 with Computers categories.
A novel approach to hybrid AI aimed at developing trustworthy agent collaborators. The vast majority of current AI relies wholly on machine learning (ML). However, the past thirty years of effort in this paradigm have shown that, despite the many things that ML can achieve, it is not an all-purpose solution to building human-like intelligent systems. One hope for overcoming this limitation is hybrid AI: that is, AI that combines ML with knowledge-based processing. In Agents in the Long Game of AI, Marjorie McShane, Sergei Nirenburg, and Jesse English present recent advances in hybrid AI with special emphases on content-centric computational cognitive modeling, explainability, and development methodologies. At present, hybridization typically involves sprinkling knowledge into an ML black box. The authors, by contrast, argue that hybridization will be best achieved in the opposite way: by building agents within a cognitive architecture and then integrating judiciously selected ML results. This approach leverages the power of ML without sacrificing the kind of explainability that will foster society’s trust in AI. This book shows how we can develop trustworthy agent collaborators of a type not being addressed by the “ML alone” or “ML sprinkled by knowledge” paradigms—and why it is imperative to do so.