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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Charlotte y Peter Fiell son dos autoridades en historia, teoría y crítica del diseño y han escrito más de sesenta libros sobre la materia, muchos de los cuales se han convertido en éxitos de ventas. También han impartido conferencias y cursos como profesores invitados, han comisariado exposiciones y asesorado a fabricantes, museos, salas de subastas y grandes coleccionistas privados de todo el mundo. Los Fiell han escrito numerosos libros para TASCHEN, entre los que se incluyen 1000 Chairs, Diseño del siglo XX, El diseño industrial de la A a la Z, Scandinavian Design y Diseño del siglo XXI.
Thisbook mainly aims at solving the problems in both cooperative and competitivemulti-agent systems (MASs), exploring aspects such as how agents caneffectively learn to achieve the shared optimal solution based on their localinformation and how they can learn to increase their individual utility byexploiting the weakness of their opponents. The book describes fundamental andadvanced techniques of how multi-agent systems can be engineered towards thegoal of ensuring fairness, social optimality, and individual rationality; awide range of further relevant topics are also covered both theoretically andexperimentally. The book will be beneficial to researchers in the fields ofmulti-agent systems, game theory and artificial intelligence in general, as wellas practitioners developing practical multi-agent systems.
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Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Thisbook mainly aims at solving the problems in both cooperative and competitivemulti-agent systems (MASs), exploring aspects such as how agents caneffectively learn to achieve the shared optimal solution based on their localinformation and how they can learn to increase their individual utility byexploiting the weakness of their opponents. The book describes fundamental andadvanced techniques of how multi-agent systems can be engineered towards thegoal of ensuring fairness, social optimality, and individual rationality; awide range of further relevant topics are also covered both theoretically andexperimentally. The book will be beneficial to researchers in the fields ofmulti-agent systems, game theory and artificial intelligence in general, as wellas practitioners developing practical multi-agent systems. 178 pp. Englisch. Bestandsnummer des Verkäufers 9783662494684
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Hardcover. Zustand: new. Hardcover. Thisbook mainly aims at solving the problems in both cooperative and competitivemulti-agent systems (MASs), exploring aspects such as how agents caneffectively learn to achieve the shared optimal solution based on their localinformation and how they can learn to increase their individual utility byexploiting the weakness of their opponents. The book describes fundamental andadvanced techniques of how multi-agent systems can be engineered towards thegoal of ensuring fairness, social optimality, and individual rationality; awide range of further relevant topics are also covered both theoretically andexperimentally. The book will be beneficial to researchers in the fields ofmulti-agent systems, game theory and artificial intelligence in general, as wellas practitioners developing practical multi-agent systems. Thisbook mainly aims at solving the problems in both cooperative and competitivemulti-agent systems (MASs), exploring aspects such as how agents caneffectively learn to achieve the shared optimal solution based on their localinformation and how they can learn to increase their individual utility byexploiting the weakness of their opponents. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9783662494684
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