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  • Ký hiệu PL/XG: 519.542
    Nhan đề: An introduction to decision theory /

ISBN 9781316606209
DDC 519.542
Tác giả CN Peterson, Martin
Nhan đề An introduction to decision theory / Martin Peterson
Lần xuất bản 2nd ed.
Thông tin xuất bản Cambridge, UK ; New York : Cambridge University Press, 2017
Mô tả vật lý x, 339 pages : illustrations
Mô tả vật lý 25 cm.
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 Lý thuyết quyết định thống kê Bayesian
Từ khóa tự do Mathematical models
Khoa Khoa Công nghệ Thông tin
Địa chỉ Thư Viện Đại học Nguyễn Tất Thành
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041 |aeng
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082 |a519.542|223
100 |aPeterson, Martin
245 |aAn introduction to decision theory / |cMartin Peterson
250|a2nd ed.
260 |aCambridge, UK ; New York : |bCambridge University Press, |c2017
300 |ax, 339 pages : |billustrations
300|c25 cm.
490 |aCambridge introductions to philosophy.
504 |aIncludes bibliographical references (pages 319-324) and index.
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.
541 |aMua
653 |aDecision making
653 |aBayesian statistical decision theory
653 |aLý thuyết quyết định thống kê Bayesian
653|aMathematical models
690 |aKhoa Công nghệ Thông tin
852 |aThư Viện Đại học Nguyễn Tất Thành
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