Learning and Coordination: Enhancing Agent Performance through Distributed Decision Making (Intelligent Systems, Control and Automation: Science and Engineering)

Kim, S.H.

ISBN 10: 9401044422 ISBN 13: 9789401044424
Editorial: Springer, 2012
Nuevos Encuadernación de tapa blanda

Librería: Ria Christie Collections, Uxbridge, Reino Unido Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Vendedor de AbeBooks desde 25 de marzo de 2015

Este artículo en concreto ya no está disponible.

Descripción

Descripción:

In. N° de ref. del artículo ria9789401044424_new

Denunciar este artículo

Sinopsis:

Intelligent systems of the natural kind are adaptive and robust: they learn over time and degrade gracefully under stress. If artificial systems are to display a similar level of sophistication, an organizing framework and operating principles are required to manage the resulting complexity of design and behavior.
This book presents a general framework for adaptive systems. The utility of the comprehensive framework is demonstrated by tailoring it to particular models of computational learning, ranging from neural networks to declarative logic.
The key to robustness lies in distributed decision making. An exemplar of this strategy is the neural network in both its biological and synthetic forms. In a neural network, the knowledge is encoded in the collection of cells and their linkages, rather than in any single component. Distributed decision making is even more apparent in the case of independent agents. For a population of autonomous agents, their proper coordination may well be more instrumental for attaining their objectives than are their individual capabilities.
This book probes the problems and opportunities arising from autonomous agents acting individually and collectively. Following the general framework for learning systems and its application to neural networks, the coordination of independent agents through game theory is explored. Finally, the utility of game theory for artificial agents is revealed through a case study in robotic coordination.
Given the universality of the subjects -- learning behavior and coordinative strategies in uncertain environments -- this book will be of interest to students and researchers in various disciplines, ranging from all areas of engineering to the computing disciplines; from the life sciences to the physical sciences; and from the management arts to social studies.

Reseña del editor: Intelligent systems of the natural kind are adaptive and robust: they learn over time and degrade gracefully under stress. If artificial systems are to display a similar level of sophistication, an organizing framework and operating principles are required to manage the resulting complexity of design and behavior.
This book presents a general framework for adaptive systems. The utility of the comprehensive framework is demonstrated by tailoring it to particular models of computational learning, ranging from neural networks to declarative logic.
The key to robustness lies in distributed decision making. An exemplar of this strategy is the neural network in both its biological and synthetic forms. In a neural network, the knowledge is encoded in the collection of cells and their linkages, rather than in any single component. Distributed decision making is even more apparent in the case of independent agents. For a population of autonomous agents, their proper coordination may well be more instrumental for attaining their objectives than are their individual capabilities.
This book probes the problems and opportunities arising from autonomous agents acting individually and collectively. Following the general framework for learning systems and its application to neural networks, the coordination of independent agents through game theory is explored. Finally, the utility of game theory for artificial agents is revealed through a case study in robotic coordination.
Given the universality of the subjects -- learning behavior and coordinative strategies in uncertain environments -- this book will be of interest to students and researchers in various disciplines, ranging from all areas of engineering to the computing disciplines; from the life sciences to the physical sciences; and from the management arts to social studies.

"Sobre este título" puede pertenecer a otra edición de este libro.

Detalles bibliográficos

Título: Learning and Coordination: Enhancing Agent ...
Editorial: Springer
Año de publicación: 2012
Encuadernación: Encuadernación de tapa blanda
Condición: New

Los mejores resultados en AbeBooks

Imagen del vendedor

S.H. Kim
Publicado por Springer Netherlands, 2012
ISBN 10: 9401044422 ISBN 13: 9789401044424
Nuevo Tapa blanda
Impresión bajo demanda

Librería: moluna, Greven, Alemania

Calificación del vendedor: 4 de 5 estrellas Valoración 4 estrellas, Más información sobre las valoraciones de los vendedores

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Intelligent systems of the natural kind are adaptive and robust: they learn over time and degrade gracefully under stress. If artificial systems are to display a similar level of sophistication, an organizing framework and operating principles are requir. Nº de ref. del artículo: 5831230

Contactar al vendedor

Comprar nuevo

EUR 136,16
EUR 48,99 shipping
Se envía de Alemania a Estados Unidos de America

Cantidad disponible: Más de 20 disponibles

Añadir al carrito

Imagen del vendedor

S. H. Kim
Publicado por Springer, 2012
ISBN 10: 9401044422 ISBN 13: 9789401044424
Nuevo Taschenbuch

Librería: preigu, Osnabrück, Alemania

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Taschenbuch. Condición: Neu. Learning and Coordination | Enhancing Agent Performance through Distributed Decision Making | S. H. Kim | Taschenbuch | xii | Englisch | 2012 | Springer | EAN 9789401044424 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Nº de ref. del artículo: 105581023

Contactar al vendedor

Comprar nuevo

EUR 141,30
EUR 70,00 shipping
Se envía de Alemania a Estados Unidos de America

Cantidad disponible: 5 disponibles

Añadir al carrito

Imagen de archivo

Kim, S.H.
Publicado por Springer, 2012
ISBN 10: 9401044422 ISBN 13: 9789401044424
Nuevo Tapa blanda

Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Condición: New. Nº de ref. del artículo: ABLIING23Apr0412070054585

Contactar al vendedor

Comprar nuevo

EUR 156,47
EUR 3,40 shipping
Se envía dentro de Estados Unidos de America

Cantidad disponible: Más de 20 disponibles

Añadir al carrito

Imagen del vendedor

S. H. Kim
Publicado por Springer Netherlands Okt 2012, 2012
ISBN 10: 9401044422 ISBN 13: 9789401044424
Nuevo Taschenbuch
Impresión bajo demanda

Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Intelligent systems of the natural kind are adaptive and robust: they learn over time and degrade gracefully under stress. If artificial systems are to display a similar level of sophistication, an organizing framework and operating principles are required to manage the resulting complexity of design and behavior. This book presents a general framework for adaptive systems. The utility of the comprehensive framework is demonstrated by tailoring it to particular models of computational learning, ranging from neural networks to declarative logic. The key to robustness lies in distributed decision making. An exemplar of this strategy is the neural network in both its biological and synthetic forms. In a neural network, the knowledge is encoded in the collection of cells and their linkages, rather than in any single component. Distributed decision making is even more apparent in the case of independent agents. For a population of autonomous agents, their proper coordination may well be more instrumental for attaining their objectives than are their individual capabilities. This book probes the problems and opportunities arising from autonomous agents acting individually and collectively. Following the general framework for learning systems and its application to neural networks, the coordination of independent agents through game theory is explored. Finally, the utility of game theory for artificial agents is revealed through a case study in robotic coordination. Given the universality of the subjects -- learning behavior and coordinative strategies in uncertain environments -- this book will be of interest to students and researchers in various disciplines, ranging from all areas of engineering to the computing disciplines; from the life sciences to the physical sciences; and from the management arts to social studies. 204 pp. Englisch. Nº de ref. del artículo: 9789401044424

Contactar al vendedor

Comprar nuevo

EUR 160,49
EUR 23,00 shipping
Se envía de Alemania a Estados Unidos de America

Cantidad disponible: 2 disponibles

Añadir al carrito

Imagen del vendedor

S. H. Kim
ISBN 10: 9401044422 ISBN 13: 9789401044424
Nuevo Taschenbuch
Impresión bajo demanda

Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Intelligent systems of the natural kind are adaptive and robust: they learn over time and degrade gracefully under stress. If artificial systems are to display a similar level of sophistication, an organizing framework and operating principles are required to manage the resulting complexity of design and behavior.This book presents a general framework for adaptive systems. The utility of the comprehensive framework is demonstrated by tailoring it to particular models of computational learning, ranging from neural networks to declarative logic.The key to robustness lies in distributed decision making. An exemplar of this strategy is the neural network in both its biological and synthetic forms. In a neural network, the knowledge is encoded in the collection of cells and their linkages, rather than in any single component. Distributed decision making is even more apparent in the case of independent agents. For a population of autonomous agents, their proper coordination may well be more instrumental for attaining their objectives than are their individual capabilities.This book probes the problems and opportunities arising from autonomous agents acting individually and collectively. Following the general framework for learning systems and its application to neural networks, the coordination of independent agents through game theory is explored. Finally, the utility of game theory for artificial agents is revealed through a case study in robotic coordination.Given the universality of the subjects -- learning behavior and coordinative strategies in uncertain environments -- this book will be of interest to students and researchers in various disciplines, ranging from all areas of engineering to the computing disciplines; from the life sciences to the physical sciences; and from the management arts to social studies.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 204 pp. Englisch. Nº de ref. del artículo: 9789401044424

Contactar al vendedor

Comprar nuevo

EUR 160,49
EUR 60,00 shipping
Se envía de Alemania a Estados Unidos de America

Cantidad disponible: 1 disponibles

Añadir al carrito

Imagen del vendedor

S. H. Kim
ISBN 10: 9401044422 ISBN 13: 9789401044424
Nuevo Taschenbuch

Librería: AHA-BUCH GmbH, Einbeck, Alemania

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Intelligent systems of the natural kind are adaptive and robust: they learn over time and degrade gracefully under stress. If artificial systems are to display a similar level of sophistication, an organizing framework and operating principles are required to manage the resulting complexity of design and behavior. This book presents a general framework for adaptive systems. The utility of the comprehensive framework is demonstrated by tailoring it to particular models of computational learning, ranging from neural networks to declarative logic. The key to robustness lies in distributed decision making. An exemplar of this strategy is the neural network in both its biological and synthetic forms. In a neural network, the knowledge is encoded in the collection of cells and their linkages, rather than in any single component. Distributed decision making is even more apparent in the case of independent agents. For a population of autonomous agents, their proper coordination may well be more instrumental for attaining their objectives than are their individual capabilities. This book probes the problems and opportunities arising from autonomous agents acting individually and collectively. Following the general framework for learning systems and its application to neural networks, the coordination of independent agents through game theory is explored. Finally, the utility of game theory for artificial agents is revealed through a case study in robotic coordination. Given the universality of the subjects -- learning behavior and coordinative strategies in uncertain environments -- this book will be of interest to students and researchers in various disciplines, ranging from all areas of engineering to the computing disciplines; from the life sciences to the physical sciences; and from the management arts to social studies. Nº de ref. del artículo: 9789401044424

Contactar al vendedor

Comprar nuevo

EUR 162,91
EUR 61,68 shipping
Se envía de Alemania a Estados Unidos de America

Cantidad disponible: 1 disponibles

Añadir al carrito

Imagen de archivo

Kim, S.H.
Publicado por Springer, 2012
ISBN 10: 9401044422 ISBN 13: 9789401044424
Nuevo Tapa blanda

Librería: California Books, Miami, FL, Estados Unidos de America

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Condición: New. Nº de ref. del artículo: I-9789401044424

Contactar al vendedor

Comprar nuevo

EUR 193,26
Gastos de envío gratis
Se envía dentro de Estados Unidos de America

Cantidad disponible: Más de 20 disponibles

Añadir al carrito

Imagen de archivo

S.H. Kim
Publicado por Springer, 2012
ISBN 10: 9401044422 ISBN 13: 9789401044424
Nuevo Tapa blanda

Librería: Books Puddle, New York, NY, Estados Unidos de America

Calificación del vendedor: 4 de 5 estrellas Valoración 4 estrellas, Más información sobre las valoraciones de los vendedores

Condición: New. pp. 206 Index. Nº de ref. del artículo: 26142336889

Contactar al vendedor

Comprar nuevo

EUR 205,53
EUR 3,40 shipping
Se envía dentro de Estados Unidos de America

Cantidad disponible: 4 disponibles

Añadir al carrito

Imagen de archivo

Kim S.H.
Publicado por Springer, 2012
ISBN 10: 9401044422 ISBN 13: 9789401044424
Nuevo Tapa blanda
Impresión bajo demanda

Librería: Majestic Books, Hounslow, Reino Unido

Calificación del vendedor: 4 de 5 estrellas Valoración 4 estrellas, Más información sobre las valoraciones de los vendedores

Condición: New. Print on Demand pp. 206. Nº de ref. del artículo: 135027878

Contactar al vendedor

Comprar nuevo

EUR 220,85
EUR 7,42 shipping
Se envía de Reino Unido a Estados Unidos de America

Cantidad disponible: 4 disponibles

Añadir al carrito

Imagen de archivo

Kim, S.H.
Publicado por Springer, 2012
ISBN 10: 9401044422 ISBN 13: 9789401044424
Antiguo o usado Paperback

Librería: Mispah books, Redhill, SURRE, Reino Unido

Calificación del vendedor: 4 de 5 estrellas Valoración 4 estrellas, Más información sobre las valoraciones de los vendedores

Paperback. Condición: Like New. Like New. book. Nº de ref. del artículo: ERICA77394010444226

Contactar al vendedor

Comprar usado

EUR 223,39
EUR 28,54 shipping
Se envía de Reino Unido a Estados Unidos de America

Cantidad disponible: 1 disponibles

Añadir al carrito

Existen otras 1 copia(s) de este libro

Ver todos los resultados de su búsqueda