Decision making (DM) is ubiquitous in both natural and artificial systems. The decisions made often differ from those recommended by the axiomatically well-grounded normative Bayesian decision theory, in a large part due to limited cognitive and computational resources of decision makers (either artificial units or humans). This state of a airs is often described by saying that decision makers are imperfect and exhibit bounded rationality. The neglected influence of emotional state and personality traits is an additional reason why normative theory fails to model human DM process.
The book is a joint effort of the top researchers from different disciplines to identify sources of imperfection and ways how to decrease discrepancies between the prescriptive theory and real-life DM. The contributions consider:
· how a crowd of imperfect decision makers outperforms experts' decisions;
· how to decrease decision makers' imperfection by reducing knowledge available;
· how to decrease imperfection via automated elicitation of DM preferences;
· a human's limited willingness to master the available decision-support tools as an additional source of imperfection;
· how the decision maker's emotional state influences the rationality; a DM support of edutainment robot based on its system of values and respecting emotions.
The book will appeal to anyone interested in the challenging topic of DM theory and its applications.
"Sinopsis" puede pertenecer a otra edición de este libro.
Decision making (DM) is ubiquitous in both natural and artificial systems. The decisions made often differ from those recommended by the axiomatically well-grounded normative Bayesian decision theory, in a large part due to limited cognitive and computational resources of decision makers (either artificial units or humans). This state of a airs is often described by saying that decision makers are imperfect and exhibit bounded rationality. The neglected influence of emotional state and personality traits is an additional reason why normative theory fails to model human DM process.
The book is a joint effort of the top researchers from different disciplines to identify sources of imperfection and ways how to decrease discrepancies between the prescriptive theory and real-life DM. The contributions consider:
· how a crowd of imperfect decision makers outperforms experts' decisions;
· how to decrease decision makers' imperfection by reducing knowledge available;
· how to decrease imperfection via automated elicitation of DM preferences;
· a human's limited willingness to master the available decision-support tools as an additional source of imperfection;
· how the decision maker's emotional state influences the rationality; a DM support of edutainment robot based on its system of values and respecting emotions.
The book will appeal to anyone interested in the challenging topic of DM theory and its applications.
.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Latest research on Decision Making and Imperfection Results of the a workshop Decision Making with Multiple Imperfect Decision Maker shield in conjunction with the 25th Annual Conference on Neural Information Processing Systems (NIPS 2011) December . Nº de ref. del artículo: 5058271
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Decision making (DM) is ubiquitous in both natural and artificial systems. The decisions made often differ from those recommended by the axiomatically well-grounded normative Bayesian decision theory, in a large part due to limited cognitive and computational resources of decision makers (either artificial units or humans). This state of a airs is often described by saying that decision makers are imperfect and exhibit bounded rationality. The neglected influence of emotional state and personality traits is an additional reason why normative theory fails to model human DM process. The book is a joint effort of the top researchers from different disciplines to identify sources of imperfection and ways how to decrease discrepancies between the prescriptive theory and real-life DM. The contributions consider: how a crowd of imperfect decision makers outperforms experts' decisions; how to decrease decision makers' imperfection by reducing knowledge available; how to decrease imperfection via automated elicitation of DM preferences; a human's limited willingness to master the available decision-support tools as an additional source of imperfection; how the decision maker's emotional state influences the rationality; a DM support of edutainment robot based on its system of values and respecting emotions. The book will appeal to anyone interested in the challenging topic of DM theory and its applications. 204 pp. Englisch. Nº de ref. del artículo: 9783642364051
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Decision making (DM) is ubiquitous in both natural and artificial systems. The decisions made often differ from those recommended by the axiomatically well-grounded normative Bayesian decision theory, in a large part due to limited cognitive and computational resources of decision makers (either artificial units or humans). This state of a airs is often described by saying that decision makers are imperfect and exhibit bounded rationality. The neglected influence of emotional state and personality traits is an additional reason why normative theory fails to model human DM process. The book is a joint effort of the top researchers from different disciplines to identify sources of imperfection and ways how to decrease discrepancies between the prescriptive theory and real-life DM. The contributions consider: how a crowd of imperfect decision makers outperforms experts' decisions; how to decrease decision makers' imperfection by reducing knowledge available; how to decrease imperfection via automated elicitation of DM preferences; a human's limited willingness to master the available decision-support tools as an additional source of imperfection; how the decision maker's emotional state influences the rationality; a DM support of edutainment robot based on its system of values and respecting emotions. The book will appeal to anyone interested in the challenging topic of DM theory and its applications. Nº de ref. del artículo: 9783642364051
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Buch. Condición: Neu. Neuware -Decision making (DM) is ubiquitous in both natural and artificial systems. The decisions made often differ from those recommended by the axiomatically well-grounded normative Bayesian decision theory, in a large part due to limited cognitive and computational resources of decision makers (either artificial units or humans). This state of a airs is often described by saying that decision makers are imperfect and exhibit bounded rationality. The neglected influence of emotional state and personality traits is an additional reason why normative theory fails to model human DM process.The book is a joint effort of the top researchers from different disciplines to identify sources of imperfection and ways how to decrease discrepancies between the prescriptive theory and real-life DM. The contributions consider: how a crowd of imperfect decision makers outperforms experts' decisions; how to decrease decision makers' imperfection by reducing knowledge available; how to decrease imperfection via automated elicitation of DM preferences; a human's limited willingness to master the available decision-support tools as an additional source of imperfection; how the decision maker's emotional state influences the rationality; a DM support of edutainment robot based on its system of values and respecting emotions.The book will appeal to anyone interested in the challenging topic of DM theory and its applications.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 204 pp. Englisch. Nº de ref. del artículo: 9783642364051
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