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Thinking and Deciding Fourth Editio
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Contents Preface to the fourth edit
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CONTENTS vii Coincidences .........
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CONTENTS ix Disappointment and elat
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CONTENTS xi Rule utilitarianism . .
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Preface to the fourth edition The f
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Part I THINKING IN GENERAL
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Chapter 1 What is thinking? Beginni
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THE SEARCH-INFERENCE FRAMEWORK 7 Le
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THE SEARCH-INFERENCE FRAMEWORK 9 Go
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THE SEARCH-INFERENCE FRAMEWORK 11 I
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THINKING ABOUT BELIEFS 13 Science d
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HOW DO SEARCH PROCESSES WORK? 15 of
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KNOWLEDGE, THINKING, AND UNDERSTAND
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KNOWLEDGE, THINKING, AND UNDERSTAND
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KNOWLEDGE, THINKING, AND UNDERSTAND
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KNOWLEDGE, THINKING, AND UNDERSTAND
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KNOWLEDGE, THINKING, AND UNDERSTAND
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KNOWLEDGE, THINKING, AND UNDERSTAND
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CONCLUSION 29 on the highest standa
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32 THE STUDY OF THINKING Descriptiv
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34 THE STUDY OF THINKING The second
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36 THE STUDY OF THINKING 5. Maybe t
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38 THE STUDY OF THINKING that you w
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40 THE STUDY OF THINKING Tetlock fo
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42 THE STUDY OF THINKING Training a
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44 THE STUDY OF THINKING that appro
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46 THE STUDY OF THINKING must use a
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48 THE STUDY OF THINKING The purpos
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50 THE STUDY OF THINKING Incentives
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52 THE STUDY OF THINKING ably are n
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54 THE STUDY OF THINKING Developmen
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56 THE STUDY OF THINKING Table 2.1:
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58 THE STUDY OF THINKING our goals
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Chapter 3 Rationality In the case o
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GOOD THINKING AND GOAL ACHIEVEMENT
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GOOD THINKING AND GOAL ACHIEVEMENT
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RATIONALITY AND EMOTION 67 of how t
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RATIONALITY AND EMOTION 69 Because
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RATIONALITY AND BELIEF 71 Self-dece
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RATIONALITY AND BELIEF 73 From a no
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CONCLUSION 75 propose do not help u
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78 LOGIC answer. He reasons that al
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80 LOGIC Again, this sounds good, b
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82 LOGIC For each system of logic,
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84 LOGIC S: If you know a person, i
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86 LOGIC No A are B. All B are C. T
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88 LOGIC answer is, “None of the
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90 LOGIC before they were forced to
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92 LOGIC The same subject did not c
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94 LOGIC be made with such absolute
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96 LOGIC Formal syllogisms illustra
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Part II PROBABILITY AND BELIEF
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Chapter 5 Normative theory of proba
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NORMATIVE THEORY OF PROBABILITY 105
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WHAT IS PROBABILITY? 107 theory. Th
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WHAT IS PROBABILITY? 109 have it. L
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WHAT IS PROBABILITY? 111 The person
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WELL-JUSTIFIED PROBABILITY JUDGMENT
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WELL-JUSTIFIED PROBABILITY JUDGMENT
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WELL-JUSTIFIED PROBABILITY JUDGMENT
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EVALUATING PROBABILITY JUDGMENTS 11
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BAYES’S THEOREM 121 Certain scori
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BAYES’S THEOREM 123 Formulas for
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BAYES’S THEOREM 125 Figure 5.2: G
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BAYES’S THEOREM 127 other, that i
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BAYES’S THEOREM 129 males and fem
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BAYES’S THEOREM 131 Although the
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BAYES’S THEOREM 133 The difficult
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CONCLUSION 135 2. p(aids) =.0001, p
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138 DESCRIPTIVE THEORY OF PROBABILI
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140 DESCRIPTIVE THEORY OF PROBABILI
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142 DESCRIPTIVE THEORY OF PROBABILI
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144 DESCRIPTIVE THEORY OF PROBABILI
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146 DESCRIPTIVE THEORY OF PROBABILI
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148 DESCRIPTIVE THEORY OF PROBABILI
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150 DESCRIPTIVE THEORY OF PROBABILI
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152 DESCRIPTIVE THEORY OF PROBABILI
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154 DESCRIPTIVE THEORY OF PROBABILI
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156 DESCRIPTIVE THEORY OF PROBABILI
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158 DESCRIPTIVE THEORY OF PROBABILI
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160 DESCRIPTIVE THEORY OF PROBABILI
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162 HYPOTHESIS TESTING willing to m
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164 HYPOTHESIS TESTING not found, s
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166 HYPOTHESIS TESTING they are nev
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168 HYPOTHESIS TESTING given any ot
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170 HYPOTHESIS TESTING Bruner and h
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172 HYPOTHESIS TESTING hypothesis.
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174 HYPOTHESIS TESTING You open the
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176 HYPOTHESIS TESTING Both of thes
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178 HYPOTHESIS TESTING would certai
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180 HYPOTHESIS TESTING Table 7.2: Z
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182 HYPOTHESIS TESTING Table 7.5: T
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184 JUDGMENT OF CORRELATION AND CON
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186 JUDGMENT OF CORRELATION AND CON
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188 JUDGMENT OF CORRELATION AND CON
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190 JUDGMENT OF CORRELATION AND CON
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192 JUDGMENT OF CORRELATION AND CON
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194 JUDGMENT OF CORRELATION AND CON
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196 JUDGMENT OF CORRELATION AND CON
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198 JUDGMENT OF CORRELATION AND CON
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200 ACTIVELY OPEN-MINDED THINKING t
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202 ACTIVELY OPEN-MINDED THINKING 5
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204 ACTIVELY OPEN-MINDED THINKING D
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206 ACTIVELY OPEN-MINDED THINKING b
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208 ACTIVELY OPEN-MINDED THINKING I
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210 ACTIVELY OPEN-MINDED THINKING s
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212 ACTIVELY OPEN-MINDED THINKING t
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214 ACTIVELY OPEN-MINDED THINKING o
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216 ACTIVELY OPEN-MINDED THINKING T
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218 ACTIVELY OPEN-MINDED THINKING (
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220 ACTIVELY OPEN-MINDED THINKING T
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222 ACTIVELY OPEN-MINDED THINKING T
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224 ACTIVELY OPEN-MINDED THINKING s
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226 ACTIVELY OPEN-MINDED THINKING B
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Part III DECISIONS AND PLANS
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Chapter 10 Normative theory of choi
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NORMATIVE THEORY OF CHOICE 235 We s
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EXPECTED-UTILITY THEORY 237 that pr
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EXPECTED-UTILITY THEORY 239 Table 1
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EXPECTED-UTILITY THEORY 241 are sti
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WHY EXPECTED-UTILITY THEORY IS NORM
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WHY EXPECTED-UTILITY THEORY IS NORM
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WHY EXPECTED-UTILITY THEORY IS NORM
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WHY EXPECTED-UTILITY THEORY IS NORM
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THE UTILITY OF MONEY 251 we evaluat
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THE UTILITY OF MONEY 253 Figure 10.
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CONCLUSION 255 7. On the basis of y
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Chapter 11 Descriptive theory of ch
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BIAS IN DECISIONS UNDER UNCERTAINTY
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BIAS IN DECISIONS UNDER UNCERTAINTY
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PROSPECT THEORY 263 Probability: Th
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PROSPECT THEORY 265 asserts that on
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PROSPECT THEORY 267 A similar “th
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PROSPECT THEORY 269 care proportion
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PROSPECT THEORY 271 if X ≥ 0 and
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RANK-DEPENDENT UTILITY THEORIES 273
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EMOTIONAL EFFECTS OF OUTCOMES 275 E
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EMOTIONAL EFFECTS OF OUTCOMES 277 T
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EMOTIONAL EFFECTS OF OUTCOMES 279 a
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THE AMBIGUITY EFFECT 281 Table 11.7
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THE AMBIGUITY EFFECT 283 not the wo
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UNCERTAINTY AND REASONS FOR CHOICE
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CONCLUSION 287 imperfect correlatio
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290 CHOICE UNDER CERTAINTY if his c
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292 CHOICE UNDER CERTAINTY their be
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294 CHOICE UNDER CERTAINTY means. T
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296 CHOICE UNDER CERTAINTY for eval
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298 CHOICE UNDER CERTAINTY for the
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300 CHOICE UNDER CERTAINTY Behavior
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302 CHOICE UNDER CERTAINTY At other
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304 CHOICE UNDER CERTAINTY We sell
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306 CHOICE UNDER CERTAINTY either t
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308 CHOICE UNDER CERTAINTY You are
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Chapter 13 Utility measurement The
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DECISION ANALYSIS AND RELATED METHO
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DECISION ANALYSIS AND RELATED METHO
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THE MEASUREMENT OF UTILITY 317 Many
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THE MEASUREMENT OF UTILITY 319 Util
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THE MEASUREMENT OF UTILITY 321 You
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THE MEASUREMENT OF UTILITY 323 One
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THE MEASUREMENT OF UTILITY 325 Figu
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THE MEASUREMENT OF UTILITY 327 Time
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THE MEASUREMENT OF UTILITY 329 resp
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THE MEASUREMENT OF UTILITY 331 When
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THE MEASUREMENT OF UTILITY 333 betw
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THE MEASUREMENT OF UTILITY 335 The
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THE MEASUREMENT OF UTILITY 337 bene
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CONCLUSION 339 win the $100, if all
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Chapter 14 Decision analysis and va
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DISCOVERING VALUES 343 why people c
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DISCOVERING VALUES 345 Part 1E2. Gr
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CONJOINT MEASUREMENT 347 Figure 14.
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MAUT AS A TYPE OF DECISION ANALYSIS
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MAUT AS A TYPE OF DECISION ANALYSIS
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MAUT AS A TYPE OF DECISION ANALYSIS
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MAUT AS A TYPE OF DECISION ANALYSIS
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RULES AND TRADEOFFS 357 People who
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THE VALUE OF HUMAN LIFE 359 to ask
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CONCLUSION 361 curriculum deals wit
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364 QUANTITATIVE JUDGMENT procedure
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366 QUANTITATIVE JUDGMENT Table 15.
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368 QUANTITATIVE JUDGMENT judgments
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370 QUANTITATIVE JUDGMENT mission,
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372 QUANTITATIVE JUDGMENT formula.
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374 QUANTITATIVE JUDGMENT 3. y = .6
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376 QUANTITATIVE JUDGMENT far, the
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378 QUANTITATIVE JUDGMENT Kahneman
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380 QUANTITATIVE JUDGMENT Anchoring
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382 QUANTITATIVE JUDGMENT search yo
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384 QUANTITATIVE JUDGMENT Table 15.
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386 QUANTITATIVE JUDGMENT each leve
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Chapter 16 Moral judgment and choic
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WHAT ARE MORAL JUDGMENTS? 391 From
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TYPES OF JUDGMENT 393 of opposing a
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TYPES OF JUDGMENT 395 if people tri
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UTILITARIANISM AS A NORMATIVE MODEL
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UTILITARIANISM AS A NORMATIVE MODEL
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UTILITARIANISM AS A NORMATIVE MODEL
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UTILITARIANISM AS A NORMATIVE MODEL
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UTILITARIANISM AS A NORMATIVE MODEL
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BIASES IN MORAL JUDGMENT? 407 effec
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BIASES IN MORAL JUDGMENT? 409 Other
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BIASES IN MORAL JUDGMENT? 411 in or
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BIASES IN MORAL JUDGMENT? 413 Secon
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CONCLUSION 415 Conclusion Any nonut
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Chapter 17 Fairness and justice Thi
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EQUITY THEORY: THE DESIRE FOR JUSTI
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UTILITARIANISM AND FAIRNESS 421 has
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UTILITARIANISM AND FAIRNESS 423 tha
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INTUITIONS 425 Error, power, and br
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INTUITIONS 427 The principle of max
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INTUITIONS 429 the punitive effects
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INTUITIONS 431 A second bias in jud
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INTUITIONS 433 Subjects may (again)
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NEGOTIATION 435 when subjects did w
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NEGOTIATION 437 outcomes for one pa
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NEGOTIATION 439 candid about what w
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Chapter 18 Social dilemmas: Coopera
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LABORATORY VERSIONS 443 Table 18.1:
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LABORATORY VERSIONS 445 Table 18.3:
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NORMATIVE AND PRESCRIPTIVE THEORY O
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MOTIVES IN SOCIAL DILEMMAS 449 effi
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MOTIVES IN SOCIAL DILEMMAS 451 doll
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MOTIVES IN SOCIAL DILEMMAS 453 fair
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MOTIVES IN SOCIAL DILEMMAS 455 The
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TRUST 457 Trust In the “minimum
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VOTERS’ ILLUSIONS 459 what is bes
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VOTERS’ ILLUSIONS 461 contributor
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SOLUTIONS TO SOCIAL DILEMMAS 463 Pe
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SOLUTIONS TO SOCIAL DILEMMAS 465 ea
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SOLUTIONS TO SOCIAL DILEMMAS 467 so
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CONCLUSION 469 affect others who ar
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472 DECISIONS ABOUT THE FUTURE time
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474 DECISIONS ABOUT THE FUTURE argu
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476 DECISIONS ABOUT THE FUTURE carr
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478 DECISIONS ABOUT THE FUTURE Disc
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480 DECISIONS ABOUT THE FUTURE This
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482 DECISIONS ABOUT THE FUTURE that
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484 DECISIONS ABOUT THE FUTURE Figu
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486 DECISIONS ABOUT THE FUTURE mere
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488 DECISIONS ABOUT THE FUTURE so t
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490 DECISIONS ABOUT THE FUTURE We c
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492 DECISIONS ABOUT THE FUTURE Emot
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- Page 1026: 498 RISK determinants of these prob
- Page 1030: 500 RISK Torts A fourth mechanism i
- Page 1034: 502 RISK different amounts, each wi
- Page 1038: 504 RISK and whether the acceptable
- Page 1042: 506 RISK Government agencies often
- Page 1046: 508 RISK fell into a lake and a wom
- Page 1050: 510 RISK times more likely than chr
- Page 1054: 512 RISK Although Option 2 leads to
- Page 1058: 514 RISK other things. People seem
- Page 1062: 516 RISK A similar example comes fr
- Page 1066: 518 RISK shey, Meszaros, and Kunreu
- Page 1072: INVESTORS AND ENTREPRENEURS 521 Con
- Page 1076: INDIVIDUAL AND SEX DIFFERENCES 523
- Page 1080: CONCLUSION 525 ficials thought that
- Page 1086: 528 REFERENCES Alpert, W., & Raiffa
- Page 1090: 530 REFERENCES Baron, J. (1997b). C
- Page 1094: 532 REFERENCES Behn, R. D., & Vaupe
- Page 1098: 534 REFERENCES Social Psychology, 6
- Page 1102: 536 REFERENCES Davis, W. A. (1981).
- Page 1106: 538 REFERENCES Elster, J. (1983). S
- Page 1110: 540 REFERENCES for osteoporosis: Wh
- Page 1114: 542 REFERENCES Harris, R. J., & Joy
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544 REFERENCES Oregon did. Journal
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546 REFERENCES Kahneman, D., & Tver
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548 REFERENCES Kuhn, D., Phelps, E.
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550 REFERENCES Lopes, L. L. (1987a)
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552 REFERENCES Mischel, W., Shoda,
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554 REFERENCES Parks, C. D., & Vu,
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556 REFERENCES Reuben, D. B. (1984)
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558 REFERENCES Schwartz, S. M., Bar
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560 REFERENCES Solnick, J. V., Kann
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562 REFERENCES 51, 176-197. Toulmin
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564 REFERENCES Walster, E., Walster
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Author Index Abelson, R. P., 148 Ab
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AUTHOR INDEX 569 Dawes, R. M., 156,
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AUTHOR INDEX 571 Huber, P. W., 519
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AUTHOR INDEX 573 Miyamoto, J. M., 3
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AUTHOR INDEX 575 Simon, H. A., 37,
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Subject Index 2 4 6 problem, 172 ab
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SUBJECT INDEX 579 culture, 428, 451
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SUBJECT INDEX 581 invariance, 116,
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SUBJECT INDEX 583 quantitative thin