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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Cooperative game theory is a branch of (micro-)economics that studies the behavior of self-interested agents in strategic settings where binding agreements among agents are possible. Our aim in this book is to present a survey of work on the computational aspects of cooperative game theory. We begin by formally defining transferable utility games in characteristic function form, and introducing key solution concepts such as the core and the Shapley value. We then discuss two major issues that arise when considering such games from a computational perspective: identifying compact representations for games, and the closely related problem of efficiently computing solution concepts for games. We survey several formalisms for cooperative games that have been proposed in the literature, including, for example, cooperative games defined on networks, as well as general compact representation schemes such as MC-nets and skill games. As a detailed case study, we consider weighted voting games:a widely-used and practically important class of cooperative games that inherently have a natural compact representation. We investigate the complexity of solution concepts for such games, and generalizations of them. We briefly discuss games with non-transferable utility and partition function games. We then overview algorithms for identifying welfare-maximizing coalition structures and methods used by rational agents to form coalitions (even under uncertainty), including bargaining algorithms. We conclude by considering some developing topics, applications, and future research directions.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Computational Aspects of Cooperative Game Theory | Georgios Chalkiadakis (u. a.) | Taschenbuch | Synthesis Lectures on Artificial Intelligence and Machine Learning | xvi | Englisch | 2011 | Springer | EAN 9783031004308 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Multi-Agent Systems and Agreement Technologies | 17th European Conference, EUMAS 2020, and 7th International Conference, AT 2020, Thessaloniki, Greece, September 14-15, 2020, Revised Selected Papers | Nick Bassiliades (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xiv | Englisch | 2021 | Springer | EAN 9783030664114 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Cooperative game theory is a branch of (micro-)economics that studies the behavior of self-interested agents in strategic settings where binding agreements among agents are possible. Our aim in this book is to present a survey of work on the computational aspects of cooperative game theory. We begin by formally defining transferable utility games in characteristic function form, and introducing key solution concepts such as the core and the Shapley value. We then discuss two major issues that arise when considering such games from a computational perspective: identifying compact representations for games, and the closely related problem of efficiently computing solution concepts for games. We survey several formalisms for cooperative games that have been proposed in the literature, including, for example, cooperative games defined on networks, as well as general compact representation schemes such as MC-nets and skill games. As a detailed case study, we consider weighted voting games: a widely-used and practically important class of cooperative games that inherently have a natural compact representation. We investigate the complexity of solution concepts for such games, and generalizations of them. We briefly discuss games with non-transferable utility and partition function games. We then overview algorithms for identifying welfare-maximizing coalition structures and methods used by rational agents to form coalitions (even under uncertainty), including bargaining algorithms. We conclude by considering some developing topics, applications, and future research directions. 172 pp. Englisch.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the revised post-conference proceedings of the 17th European Conference on Multi-Agent Systems, EUMAS 2020, and the 7th International Conference on Agreement Technologies, AT 2020, which were originally planned to be held as a joint event in Thessaloniki, Greece, in April 2020. Due to COVID-19 pandemic the conference was postponed to September 2020 and finally became a fully virtual conference. The 38 full papers presented in this volume were carefully reviewed and selected from a total of 53 submissions. The papers report on both early and mature research and cover a wide range of topics in the field of autonomous agents and multi-agent systems. 624 pp. Englisch.
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Cooperative game theory is a branch of (micro-)economics that studies the behavior of self-interested agents in strategic settings where binding agreements among agents are possible. Our aim in this book is to present a survey of work on the computational a.
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book constitutes the revised post-conference proceedings of the 17th European Conference on Multi-Agent Systems, EUMAS 2020, and the 7th International Conference on Agreement Technologies, AT 2020, which were originally planned to be held as.
Lingua: Inglese
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Cooperative game theory is a branch of (micro-)economics that studies the behavior of self-interested agents in strategic settings where binding agreements among agents are possible. Our aim in this book is to present a survey of work on the computational aspects of cooperative game theory. We begin by formally defining transferable utility games in characteristic function form, and introducing key solution concepts such as the core and the Shapley value. We then discuss two major issues that arise when considering such games from a computational perspective: identifying compact representations for games, and the closely related problem of efficiently computing solution concepts for games. We survey several formalisms for cooperative games that have been proposed in the literature, including, for example, cooperative games defined on networks, as well as general compact representation schemes such as MC-nets and skill games. As a detailed case study, we consider weighted voting games:a widely-used and practically important class of cooperative games that inherently have a natural compact representation. We investigate the complexity of solution concepts for such games, and generalizations of them. We briefly discuss games with non-transferable utility and partition function games. We then overview algorithms for identifying welfare-maximizing coalition structures and methods used by rational agents to form coalitions (even under uncertainty), including bargaining algorithms. We conclude by considering some developing topics, applications, and future research directions.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 172 pp. Englisch.
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Editore: Springer, Springer Jan 2021, 2021
ISBN 10: 3030664112 ISBN 13: 9783030664114
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Intelligent agents and MAS applications.- Towards a Theory of Intentions for Human-Robot Collaboration.- Decentralised Control of Intelligent Devices: A Healthcare Facility Study.- Decentralised Multi-Intersection Congestion Control for Connected Autonomous Vehicles.- Congestion Management for Mobility-on-Demand Schemes that use Electric Vehicles.- Disaster Response Simulation as a Testbed for Multi-Agent Systems.- Mechanisms, Incentives, Norms, Privacy.- Rewarding miners: bankruptcy situations and pooling strategies.- A Game-Theoretical Analysis of Charging Strategies for Competing Double Auction Marketplaces.- Agents for Preserving Privacy: Learning and Decision Making Collaboratively.- Open Social Systems.- A Faithful Mechanism for Privacy-Sensitive Distributed Constraint Satisfaction Problems.- Incentivising Exploration and Recommendations for Contextual Bandits with Payments.- Emotional Agents Makea (Bank) Run.- Autonomous Agents.- An Interface for Programming Verifiable Autonomous Agents in ROS.- Integrated Commonsense Reasoning and Deep Learning for Transparent Decision Making in Robotics.- Combining Lévy Walks and Flocking for Cooperative Surveillance using Aerial Swarms.- Single-Agent Policies for the Multi-Agent Persistent Surveillance Problem via Artificial Heterogeneity.- Explaining the influence of prior knowledge on POMCP policies.- EUMAS 2020 Best Papers Session.- Approximating Voting Rules from Truncated Ballots.- Mechanism for Distributed Meeting Scheduling.- EUMAS-AT 2020 Joint Session.- An argumentation-based approach to generate domain-specific explanations.- Distributed multi-issue multi-lateral negotiation using a divide and rule approach.- Increasing negotiation performance at the edge of the network.- Challenges and Main Results of the Automated Negotiating Agents Competition.-Optimal Majority Rule Versus Simple Majority Rule.- Evaluating Crowdshipping Systems with Agent-Based Simulation.- Agent-based models, Social choice, Argumentation, Model-checking.- Measuring the Strength of Rhetorical Arguments.- Understanding the role of values and norms in practical reasoning.- Predicting the winners of Borda, Kemeny and Dodgson elections with supervised machine learning.- From Virtual Worlds to Mirror Worlds: A Model and Platform for Building Agent-based eXtended Realities.- Model-checking Information Diffusion in SocialNetworks with PRISM 452.- 'Roads Where we're going we don't need roads.' Using Agent-based modeling to analyze the economic impact of Hyperloop introduction on a supply chain.- Sensitivity to Initial Conditions in Agent-based Models.-: Agent-oriented software engineering, Game Theory, Task Allocation, Learning.- Statecharts and Agent Technology: The Past and Future.- A Game Of Double Agents: Repeated Stackelberg Games with Role Switch.- Learning Summarised Messaging through Mediated Differentiable Inter Agent Learning.- Integrating Deep Learning and Non-monotonic Logical Reasoning for Explainable Visual Question Answering.- Multiagent Task Coordination as Task Allocation Plus Task Responsibility.- Anytime and Efficient Coalition Formation with Spatial and Temporal Constraints.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 624 pp. Englisch.