Decision making imperfect makers (29 résultats)

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Paperback. Etat : New. Prescriptive Bayesian decision making has reached a high level of maturity and is well-supported algorithmically. However, experimental data shows that real decision makers choose such Bayes-optimal decisions surprisingly infrequently, often making decisions that are badly sub-optimal. So prevalent is such imperfect decision-making that it should be accepted as an inherent feature of real decision makers living within interacting societies.To date such societies have been investigated from an economic and gametheoretic perspective, and even to a degree from a physics perspective. However, little research has been done from the perspective of computer science and associated disciplines like machine learning, information theory and neuroscience. This book is a major contribution to such research.Some of the particular topics addressed include: How should we formalise rational decision making of a single imperfect decision maker?  Does the answer change for a system of imperfect decision makers?  Can we extend existing prescriptive theories for perfect decision makers to make them useful for imperfect ones? How can we exploit the relation of these problems to the control under varying and uncertain resources constraints as well as to the problem of the computational decision making? What can we learn from natural, engineered, and social systems to help us address these issues? Softcover reprint of the original 1st ed. 2012.…

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Etat : New. Why and how can imperfection be coped with in real life Proposes possible ways to approaches suitable to addressing design of decision strategies for and by imperfect designers and decision makers Edited outcome of best contributions to a N.

Taschenbuch. Etat : Neu. Decision Making with Imperfect Decision Makers | Tatiana Valentine Guy (u. a.) | Taschenbuch | Intelligent Systems Reference Library | xiv | Englisch | 2016 | Springer | EAN 9783662507001 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Prescriptive Bayesian decision making has reached a high level of maturity and is well-supported algorithmically. However, experimental data shows that real decision makers choose such Bayes-optimal decisions surprisingly infrequently, often making decisions that are badly sub-optimal. So prevalent is such imperfect decision-making that it should be accepted as an inherent feature of real decision makers living within interacting societies.To date such societies have been investigated from an economic and gametheoretic perspective, and even to a degree from a physics perspective. However, little research has been done from the perspective of computer science and associated disciplines like machine learning, information theory and neuroscience. This book is a major contribution to such research.Some of the particular topics addressed include: How should we formalise rational decision making of a single imperfect decision maker Does the answer change for a system of imperfect decision makers Can we extend existing prescriptive theories for perfect decision makers to make them useful for imperfect ones How can we exploit the relation of these problems to the control under varying and uncertain resources constraints as well as to the problem of the computational decision making What can we learn from natural, engineered, and social systems to help us address these issues.…

Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Prescriptive Bayesian decision making has reached a high level of maturity and is well-supported algorithmically. However, experimental data shows that real decision makers choose such Bayes-optimal decisions surprisingly infrequently, often making decisions that are badly sub-optimal. So prevalent is such imperfect decision-making that it should be accepted as an inherent feature of real decision makers living within interacting societies.To date such societies have been investigated from an economic and gametheoretic perspective, and even to a degree from a physics perspective. However, little research has been done from the perspective of computer science and associated disciplines like machine learning, information theory and neuroscience. This book is a major contribution to such research.Some of the particular topics addressed include: How should we formalise rational decision making of a single imperfect decision maker Does the answer change for a system of imperfect decision makers Can we extend existing prescriptive theories for perfect decision makers to make them useful for imperfect ones How can we exploit the relation of these problems to the control under varying and uncertain resources constraints as well as to the problem of the computational decision making What can we learn from natural, engineered, and social systems to help us address these issues.…

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Paperback. Etat : New. Prescriptive Bayesian decision making has reached a high level of maturity and is well-supported algorithmically. However, experimental data shows that real decision makers choose such Bayes-optimal decisions surprisingly infrequently, often making decisions that are badly sub-optimal. So prevalent is such imperfect decision-making that it should be accepted as an inherent feature of real decision makers living within interacting societies.To date such societies have been investigated from an economic and gametheoretic perspective, and even to a degree from a physics perspective. However, little research has been done from the perspective of computer science and associated disciplines like machine learning, information theory and neuroscience. This book is a major contribution to such research.Some of the particular topics addressed include: How should we formalise rational decision making of a single imperfect decision maker?  Does the answer change for a system of imperfect decision makers?  Can we extend existing prescriptive theories for perfect decision makers to make them useful for imperfect ones? How can we exploit the relation of these problems to the control under varying and uncertain resources constraints as well as to the problem of the computational decision making? What can we learn from natural, engineered, and social systems to help us address these issues? Softcover reprint of the original 1st ed. 2012.…

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Paperback. Etat : Brand New. reprint edition. 195 pages. 9.25x6.10x0.50 inches. In Stock. This item is printed on demand.

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Prescriptive Bayesian decision making has reached a high level of maturity and is well-supported algorithmically. However, experimental data shows that real decision makers choose such Bayes-optimal decisions surprisingly infrequently, often making decisions that are badly sub-optimal. So prevalent is such imperfect decision-making that it should be accepted as an inherent feature of real decision makers living within interacting societies.To date such societies have been investigated from an economic and gametheoretic perspective, and even to a degree from a physics perspective. However, little research has been done from the perspective of computer science and associated disciplines like machine learning, information theory and neuroscience. This book is a major contribution to such research.Some of the particular topics addressed include: How should we formalise rational decision making of a single imperfect decision maker Does the answer change for a system of imperfect decision makers Can we extend existing prescriptive theories for perfect decision makers to make them useful for imperfect ones How can we exploit the relation of these problems to the control under varying and uncertain resources constraints as well as to the problem of the computational decision making What can we learn from natural, engineered, and social systems to help us address these issues 212 pp. Englisch.…

Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Prescriptive Bayesian decision making has reached a high level of maturity and is well-supported algorithmically. However, experimental data shows that real decision makers choose such Bayes-optimal decisions surprisingly infrequently, often making decisions that are badly sub-optimal. So prevalent is such imperfect decision-making that it should be accepted as an inherent feature of real decision makers living within interacting societies.To date such societies have been investigated from an economic and gametheoretic perspective, and even to a degree from a physics perspective. However, little research has been done from the perspective of computer science and associated disciplines like machine learning, information theory and neuroscience. This book is a major contribution to such research.Some of the particular topics addressed include: How should we formalise rational decision making of a single imperfect decision maker Does the answer change for a system of imperfect decision makers Can we extend existing prescriptive theories for perfect decision makers to make them useful for imperfect ones How can we exploit the relation of these problems to the control under varying and uncertain resources constraints as well as to the problem of the computational decision making What can we learn from natural, engineered, and social systems to help us address these issues 212 pp. Englisch.…

Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Why and how can imperfection be coped with in real life Proposes possible ways to approaches suitable to addressing design of decision strategies for and by imperfect designers and decision makers Edited outcome of best contributions to a N.…

Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Prescriptive Bayesian decision making has reached a high level of maturity and is well-supported algorithmically. However, experimental data shows that real decision makers choose such Bayes-optimal decisions surprisingly infrequently, often making decisions that are badly sub-optimal. So prevalent is such imperfect decision-making that it should be accepted as an inherent feature of real decision makers living within interacting societies.To date such societies have been investigated from an economic and gametheoretic perspective, and even to a degree from a physics perspective. However, little research has been done from the perspective of computer science and associated disciplines like machine learning, information theory and neuroscience. This book is a major contribution to such research.Some of the particular topics addressed include: How should we formalise rational decision making of a single imperfect decision maker Does the answer change for a system of imperfect decision makers Can we extend existing prescriptive theories for perfect decision makers to make them useful for imperfect ones How can we exploit the relation of these problems to the control under varying and uncertain resources constraints as well as to the problem of the computational decision making What can we learn from natural, engineered, and social systems to help us address these issues Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 212 pp. Englisch.…

Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Prescriptive Bayesian decision making has reached a high level of maturity and is well-supported algorithmically. However, experimental data shows that real decision makers choose such Bayes-optimal decisions surprisingly infrequently, often making decisions that are badly sub-optimal. So prevalent is such imperfect decision-making that it should be accepted as an inherent feature of real decision makers living within interacting societies.To date such societies have been investigated from an economic and gametheoretic perspective, and even to a degree from a physics perspective. However, little research has been done from the perspective of computer science and associated disciplines like machine learning, information theory and neuroscience. This book is a major contribution to such research.Some of the particular topics addressed include: How should we formalise rational decision making of a single imperfect decision maker Does the answer change for a system of imperfect decision makers Can we extend existing prescriptive theories for perfect decision makers to make them useful for imperfect ones How can we exploit the relation of these problems to the control under varying and uncertain resources constraints as well as to the problem of the computational decision making What can we learn from natural, engineered, and social systems to help us address these issues Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 212 pp. Englisch.…

Etat : New. Print on Demand pp. 209.

Etat : New. PRINT ON DEMAND pp. 209.