Product Description
This 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.
Book Description
This clearly written introduction covers all the main aspects of decision theory including utility theory, subjective and objective probability, Bayesianism, causal decision theory, game theory, and social choice theory. No mathematical background is assumed and a full glossary and over 100 exercises help the reader to fully understand the area.
評分
評分
評分
評分
本科教材。
评分很易讀,很簡單,但真的很comprehensive
评分很易讀,很簡單,但真的很comprehensive
评分本科教材。
评分Basics for intuition. fun parts: Nozick's critique on UD in Sen's thm, so liberalism and Pareto are not inconsistent; threat to Bayesianism; some logical equivalence (in pure math) to probability (in stats). Decision thy can be as narrow as individual choice thy, and broad as social choice thy (no interaction) and game thy (interaction).
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