
ISBN
| 9780521888370 |
DDC
| 519.542 |
Tác giả CN
| Peterson, Martin |
Nhan đề
| An introduction to decision theory / Martin Peterson |
Thông tin xuất bản
| Cambridge, UK ; New York : Cambridge University Press, 2009 |
Mô tả vật lý
| 328 p. : illustrations |
Tùng thư
| Cambridge introductions to philosophy. |
Tóm tắt
| This up-to-date introduction to decision theory offers comprehensive and accessible discussions of decision-making under ignorance and risk, the foundations of utility theory, the debate over subjective and objective probability, Bayesianism, causal decision theory, game theory, and social choice theory. No mathematical skills are assumed, and all concepts and results are explained in non-technical and intuitive as well as more formal ways. There are over 100 exercises with solutions, and a glossary of key terms and concepts. An emphasis on foundational aspects of normative decision theory (rather than descriptive decision theory) makes the book particularly useful for philosophy students, but it will appeal to readers in a range of disciplines including economics, psychology, political science and computer science. |
Từ khóa tự do
| Decision making. |
Từ khóa tự do
| Bayesian statistical decision theory. |
Từ khóa tự do
| Decision making -- Mathematical models. |
Khoa
| Khoa Công nghệ Thông tin |
Địa chỉ
| Thư Viện Đại học Nguyễn Tất Thành |
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100 | |aPeterson, Martin |
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245 | |aAn introduction to decision theory / |cMartin Peterson |
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260 | |aCambridge, UK ; New York : |bCambridge University Press, |c2009 |
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300 | |a328 p. : |billustrations |
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490 | |aCambridge introductions to philosophy. |
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504 | |a Includes bibliographical references (pages 319-324) and index. |
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520 | |aThis up-to-date introduction to decision theory offers comprehensive and accessible discussions of decision-making under ignorance and risk, the foundations of utility theory, the debate over subjective and objective probability, Bayesianism, causal decision theory, game theory, and social choice theory. No mathematical skills are assumed, and all concepts and results are explained in non-technical and intuitive as well as more formal ways. There are over 100 exercises with solutions, and a glossary of key terms and concepts. An emphasis on foundational aspects of normative decision theory (rather than descriptive decision theory) makes the book particularly useful for philosophy students, but it will appeal to readers in a range of disciplines including economics, psychology, political science and computer science. |
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541 | |aKhoa CNTT tặng |
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653 | |aDecision making. |
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653 | |aBayesian statistical decision theory. |
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653 | |aDecision making -- Mathematical models. |
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690 | |aKhoa Công nghệ Thông tin |
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691 | |aCông nghệ thông tin - ThS |
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691 | |aCông nghệ thông tin |
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852 | |aThư Viện Đại học Nguyễn Tất Thành |
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