Interactions in Multiagent Systems: Fairness, Social Optimality and Individual Rationality / by Jianye Hao, Ho-fung Leung
By: Hao, Jianye
Contributor(s): Leung, Ho-fung
Material type: 
E-bookPublisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2016Description: 1 recurso en línea (IX, 178 p.) 122 il., 11 il. col..ISBN: 9783662494707.Subject: Agentes inteligentes (Programas de ordenador)Online resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)
Summary: This book mainly aims at solving the problems in both cooperative and competitive multi-agent systems (MASs), exploring aspects such as how agents can effectively learn to achieve the shared optimal solution based on their local information and how they can learn to increase their individual utility by exploiting the weakness of their opponents. The book describes fundamental and advanced techniques of how multi-agent systems can be engineered towards the goal of ensuring fairness, social optimality, and individual rationality; a wide range of further relevant topics are also covered both theoretically and experimentally. The book will be beneficial to researchers in the fields of multi-agent systems, game theory and artificial intelligence in general, as well as practitioners developing practical multi-agent systems
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | QA76.76.I58 H365 2016 EB (Browse shelf(Opens below)) | .i1159973x | Acceso electrónico | eBOOK .i1159973x |
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This book mainly aims at solving the problems in both cooperative and competitive multi-agent systems (MASs), exploring aspects such as how agents can effectively learn to achieve the shared optimal solution based on their local information and how they can learn to increase their individual utility by exploiting the weakness of their opponents. The book describes fundamental and advanced techniques of how multi-agent systems can be engineered towards the goal of ensuring fairness, social optimality, and individual rationality; a wide range of further relevant topics are also covered both theoretically and experimentally. The book will be beneficial to researchers in the fields of multi-agent systems, game theory and artificial intelligence in general, as well as practitioners developing practical multi-agent systems
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