Decision Theory with a Human Face
Autor Richard Bradleyen Limba Engleză Paperback – apr 2020
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Specificații
ISBN-13: 9781108793612
ISBN-10: 1108793614
Pagini: 349
Ilustrații: 20 b/w illus.
Dimensiuni: 155 x 225 x 20 mm
Greutate: 0.47 kg
Editura: Cambridge University Press
Colecția Cambridge University Press
Locul publicării:Cambridge, United Kingdom
ISBN-10: 1108793614
Pagini: 349
Ilustrații: 20 b/w illus.
Dimensiuni: 155 x 225 x 20 mm
Greutate: 0.47 kg
Editura: Cambridge University Press
Colecția Cambridge University Press
Locul publicării:Cambridge, United Kingdom
Cuprins
List of figures; List of tables; Preface; Introduction; Part I. Rationality, Uncertainty and Choice: 1. Decision problems; 2. Rationality; 3. Uncertainty; 4. Justifying Bayesianism; Part II. Prospective Rationality: 5. Rational belief and desire; 6. Conditional attitudes; 7. Conditionals and the Ramsey Test; Part III. Facing the World: 8. Multidimensional possible world semantics; 9. Taking action; 10. The learning agent; Part IV. Rationality Within Bounds: 11. Imprecise Bayesianism; 12. Changing your mind; 13. Decision making under severe uncertainty; 14. Confidence; Bibliography; Index.
Recenzii
'Decision Theory with a Human Face is a major work that unifies and expands on an already impressive body of work from Bradley. It is difficult to think of many major debates in philosophical decision theory to which it does not make significant contributions.' Timothy Luke Williamson, Metascience
'This book represents an important step forward in the literature, and Bradley does an impressive job in providing a rigorous treatment of decision theory that refuses to idealise away from key features of human rationality.' Timothy Luke Williamson, Metascience
'This book represents an important step forward in the literature, and Bradley does an impressive job in providing a rigorous treatment of decision theory that refuses to idealise away from key features of human rationality.' Timothy Luke Williamson, Metascience
Notă biografică
Descriere
Explores how decision-makers can manage uncertainty that varies in both kind and severity by extending and supplementing Bayesian decision theory.