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Condizione: New.

Paperback. Condizione: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Condizione: new.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Paperback. Condizione: New. A key direction for research in systems and control involves engineering systems. These are highly distributed collective systems (with decisions, information and objectives distributed throughout) that involve humans. As a result, decisions have the potential to be influenced by socioeconomic factors outside the realm of limited computation capacities. Engineering systems emphasize the potential of control and games beyond traditional applications and game theory can be used to design incentives to obtain socially desirable behaviours on the part of the players, including changing consumption patterns or better traffic distribution. This unique book addresses both the foundations of game theory, with emphasis on the physical intuition behind the concepts, and new trends in the study of cooperation and competition in large complex distributed systems. It is ideal for students and researchers in several aspects of engineering, as well as for social scientists or biologists working on adaption mechanisms and evolutionary dynamics.

Paperback. Condizione: new. Paperback. A key direction for research in systems and control involves engineering systems. These are highly distributed collective systems (with decisions, information and objectives distributed throughout) that involve humans. As a result, decisions have the potential to be influenced by socioeconomic factors outside the realm of limited computation capacities. Engineering systems emphasize the potential of control and games beyond traditional applications and game theory can be used to design incentives to obtain socially desirable behaviours on the part of the players, including changing consumption patterns or better traffic distribution. This unique book addresses both the foundations of game theory, with emphasis on the physical intuition behind the concepts, and new trends in the study of cooperation and competition in large complex distributed systems. It is ideal for students and researchers in several aspects of engineering, as well as for social scientists or biologists working on adaption mechanisms and evolutionary dynamics. A unique book addressing the foundations of game theory, with emphasis on the physical intuition behind the concepts, and new trends in the study of cooperation and competition in large complex distributed systems. It is ideal for both students and researchers in numerous aspects of engineering, including mechanical, industrial and electrical engineering. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condizione: New. 2016. Paperback. . . . . .

Condizione: New.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condizione: Brand New. 292 pages. 6.89x0.63x10.00 inches. In Stock.

Paperback. Condizione: New. New copy - Usually dispatched within 4 working days.

Paperback. Condizione: new. Paperback. Engineering systems in the new economy are increasingly shaped by sharing shared logistics, joint investments, virtual power plants, and more a shift that calls for models that capture decentralized decision-making, resource pooling, and cooperative infrastructure. Across production, transportation, logistics, and energy, a central challenge is modeling and optimizing collective actions. This book aims to bridge game theory and systems and control by developing tools for incentive-based control in dynamic, uncertain, and networked multiagent systems; it extends both cooperative and noncooperative game models into a control-oriented framework, emphasizing feedback, learning, and decision-making under uncertainty. Incentive Based Control via Game Theory stands apart from existing literature by offering a design-oriented approach that focuses on using game theory to design mechanisms and control strategies that guide self-interested agents toward stable and socially desirable outcomes in dynamic, uncertain systems; novel engineering-focused content that introduces advanced topics rarely covered in game theory and engineering texts, including dynamic coalitional games, reverse Stackelberg games, and rigorously analysed best-response dynamics; and an application-driven perspective that combines mathematical rigor with real-world engineering applications, showing how theory translates into practical implementation. Bridging game theory and control systems, the work tackles decentralized decision-making in a sharing economy. It models and optimizes multiagent interactions in production, logistics, and energy, using feedback, learning, and decision-making under uncertainty to steer self-interested agents toward socially beneficial outcomes. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condizione: New. Engineering systems in the new economy are increasingly shaped by sharing - shared logistics, joint investments, virtual power plants, and more - a shift that calls for models that capture decentralized decision-making, resource pooling, and cooperative infrastructure. Across production, transportation, logistics, and energy, a central challenge is modeling and optimizing collective actions. This book aims to bridge game theory and systems and control by developing tools for incentive-based control in dynamic, uncertain, and networked multiagent systems; it extends both cooperative and noncooperative game models into a control-oriented framework, emphasizing feedback, learning, and decision-making under uncertainty. Incentive Based Control via Game Theory stands apart from existing literature by offering a design-oriented approach that focuses on using game theory to design mechanisms and control strategies that guide self-interested agents toward stable and socially desirable outcomes in dynamic, uncertain systems; novel engineering-focused content that introduces advanced topics rarely covered in game theory and engineering texts, including dynamic coalitional games, reverse Stackelberg games, and rigorously analysed best-response dynamics; and an application-driven perspective that combines mathematical rigor with real-world engineering applications, showing how theory translates into practical implementation.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Condizione: New. 2016. Paperback. . . . . . Books ship from the US and Ireland.

Condizione: New. 2026. paperback. . . . . .

Condizione: New. 2026. paperback. . . . . . Books ship from the US and Ireland.

Paperback. Condizione: new. Paperback. Engineering systems in the new economy are increasingly shaped by sharing shared logistics, joint investments, virtual power plants, and more a shift that calls for models that capture decentralized decision-making, resource pooling, and cooperative infrastructure. Across production, transportation, logistics, and energy, a central challenge is modeling and optimizing collective actions. This book aims to bridge game theory and systems and control by developing tools for incentive-based control in dynamic, uncertain, and networked multiagent systems; it extends both cooperative and noncooperative game models into a control-oriented framework, emphasizing feedback, learning, and decision-making under uncertainty. Incentive Based Control via Game Theory stands apart from existing literature by offering a design-oriented approach that focuses on using game theory to design mechanisms and control strategies that guide self-interested agents toward stable and socially desirable outcomes in dynamic, uncertain systems; novel engineering-focused content that introduces advanced topics rarely covered in game theory and engineering texts, including dynamic coalitional games, reverse Stackelberg games, and rigorously analysed best-response dynamics; and an application-driven perspective that combines mathematical rigor with real-world engineering applications, showing how theory translates into practical implementation. Bridging game theory and control systems, the work tackles decentralized decision-making in a sharing economy. It models and optimizes multiagent interactions in production, logistics, and energy, using feedback, learning, and decision-making under uncertainty to steer self-interested agents toward socially beneficial outcomes. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Paperback. Condizione: New. A key direction for research in systems and control involves engineering systems. These are highly distributed collective systems (with decisions, information and objectives distributed throughout) that involve humans. As a result, decisions have the potential to be influenced by socioeconomic factors outside the realm of limited computation capacities. Engineering systems emphasize the potential of control and games beyond traditional applications and game theory can be used to design incentives to obtain socially desirable behaviours on the part of the players, including changing consumption patterns or better traffic distribution. This unique book addresses both the foundations of game theory, with emphasis on the physical intuition behind the concepts, and new trends in the study of cooperation and competition in large complex distributed systems. It is ideal for students and researchers in several aspects of engineering, as well as for social scientists or biologists working on adaption mechanisms and evolutionary dynamics.

Paperback. Condizione: new. Paperback. A key direction for research in systems and control involves engineering systems. These are highly distributed collective systems (with decisions, information and objectives distributed throughout) that involve humans. As a result, decisions have the potential to be influenced by socioeconomic factors outside the realm of limited computation capacities. Engineering systems emphasize the potential of control and games beyond traditional applications and game theory can be used to design incentives to obtain socially desirable behaviours on the part of the players, including changing consumption patterns or better traffic distribution. This unique book addresses both the foundations of game theory, with emphasis on the physical intuition behind the concepts, and new trends in the study of cooperation and competition in large complex distributed systems. It is ideal for students and researchers in several aspects of engineering, as well as for social scientists or biologists working on adaption mechanisms and evolutionary dynamics. A unique book addressing the foundations of game theory, with emphasis on the physical intuition behind the concepts, and new trends in the study of cooperation and competition in large complex distributed systems. It is ideal for both students and researchers in numerous aspects of engineering, including mechanical, industrial and electrical engineering. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Paperback. Condizione: New. Engineering systems in the new economy are increasingly shaped by sharing - shared logistics, joint investments, virtual power plants, and more - a shift that calls for models that capture decentralized decision-making, resource pooling, and cooperative infrastructure. Across production, transportation, logistics, and energy, a central challenge is modeling and optimizing collective actions. This book aims to bridge game theory and systems and control by developing tools for incentive-based control in dynamic, uncertain, and networked multiagent systems; it extends both cooperative and noncooperative game models into a control-oriented framework, emphasizing feedback, learning, and decision-making under uncertainty. Incentive Based Control via Game Theory stands apart from existing literature by offering a design-oriented approach that focuses on using game theory to design mechanisms and control strategies that guide self-interested agents toward stable and socially desirable outcomes in dynamic, uncertain systems; novel engineering-focused content that introduces advanced topics rarely covered in game theory and engineering texts, including dynamic coalitional games, reverse Stackelberg games, and rigorously analysed best-response dynamics; and an application-driven perspective that combines mathematical rigor with real-world engineering applications, showing how theory translates into practical implementation.