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120120s2012 njua ob 001 0 eng d |
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|a Descriptive and normative approaches to human behavior /
|c editors Ehtibar Dzhafarov, Lacey Perry.
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|a New Jersey :
|b World Scientific,
|c ©2012.
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|a 1 online resource (viii, 324 pages) :
|b illustrations
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|a text
|b txt
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|a computer
|b c
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|a online resource
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|a Advanced series on mathematical psychology ;
|v v. 3
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|a Includes bibliographical references and index.
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|a Preface; Contents; 1. The Impossibility of a Satisfactory Population Ethics Gustaf Arrhenius; 1.1. Introduction; 1.2. The Basic Structure; 1.3. Adequacy Conditions; 1.4. The Impossibility Theorem; 1.4.1. Lemma 1.1; 1.4.2. Lemma 1.2; 1.4.3. Lemma 1.3; 1.4.4. Lemma 1.4; 1.5. Discussion; Acknowledgments; References; 2. Explaining Interference Effects Using Quantum Probability Theory Jerome R. Busemeyer and Jennifer S. Trueblood; 2.1. Introduction; 2.2. What Is an Interference Effect?; 2.3. What Is the Evidence for Interference Effects?; 2.3.1. Perception of ambiguous figures.
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|a 2.3.2. Categorization -- decision making2.3.3. Disjunction effect in decision making; 2.4. What Are the Explanations for These Effects?; 2.4.1. Markov model; 2.4.2. Quantum model; 2.4.3. Quantum noise model; 2.5. What Next?; References; 3. Defining Goodness and Badness in Terms of Betterness Without Negation Erik Carlson; 3.1. Introduction; 3.2. Assumptions; 3.3. Defining the Monadic Value Predicates; 3.4. Incomparability and Indeterminacy; 3.5. Giving Up Monotonicity; 3.6. Conclusion; Acknowledgments; Appendix: Proofs.; References.
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|a 4. Optimality in Multisensory Integration Dynamics: Normative and Descriptive Aspects Hans Colonius and Adele Diederich4.1. Introduction; 4.1.1. Two basic experimental paradigms; 4.1.2. The race model; 4.2. Time Window of Integration (TWIN) Model: Assumptions and Predictions; 4.2.1. Deriving TWIN predictions for RTP and FAP; 4.3. Towards an Optimal Time Window of Integration; 4.3.1. The basic decision situation; 4.3.2. Deriving an optimal decision rule; 4.3.3. Optimal time window in focused attention paradigm; 4.4. Two Empirical Studies of Time Window Optimality.
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|a 4.4.1. The effect of prior probability: The van Wanrooij et al. 2010 study4.4.2. The effect of age: The Diederich et al. 2008 study; 4.5. Summary and Outlook; Acknowledgments; Appendix 1; Appendix 2; References; 5. On the Reverse Problem of Fechnerian Scaling Ehtibar N. Dzhafarov; 5.1. Background; 5.2. Problem; 5.3. General Considerations; 5.4. Special Stimulus Spaces; 5.4.1. Directly linked spaces; 5.4.2. Spaces with metric-in-the-small dissimilarities; 5.4.3. Uniformly discrete spaces; Acknowledgments; References; 6. Bayesian Adaptive Estimation: A Theoretical Review Janne V. Kujala.
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|a 6.1. Introduction6.1.1. Psychophysics; 6.1.2. The greedy strategy; 6.1.3. The entropy loss function and mutual information; 6.1.4. Calculating expected information gain; 6.1.5. Nuisance variables and utility weights; 6.1.6. Global strategies; 6.1. 7. The globally optimal strategy; 6.1.8. Non-adaptive and batch strategies; 6.2. Examples; 6.2.1. A simplified psychometric model; 6.2.1.1. Success of the greedy strategy; 6.2.1.2. Non-adaptive and batch strategies; 6.2.1.3. Comparison; 6.2.2. Exploration versus exploitation; 6.2.3. Inappropriate utility function; 6.3. Random Cost of Observation.
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|a The aim of the book is to present side-by-side representative and cutting-edge samples of work in mathematical psychology and the analytic philosophy with prominent use of mathematical formalisms.
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590 |
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|a eBooks on EBSCOhost
|b EBSCO eBook Subscription Academic Collection - Worldwide
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590 |
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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650 |
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|a Psychology
|x Mathematical models.
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650 |
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|a Analysis (Philosophy)
|x Mathematical models.
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650 |
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|a Psychologie
|x Modèles mathématiques.
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650 |
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|a Philosophie analytique
|x Modèles mathématiques.
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650 |
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|a PSYCHOLOGY
|x Personality.
|2 bisacsh
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|a Psychology
|x Mathematical models
|2 fast
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700 |
1 |
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|a Dzhafarov, Ehtibar N.
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700 |
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|a Perry, Lacey.
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776 |
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|i Print version:
|z 9789814368001
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|w (DLC) 2011027639
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830 |
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|a Advanced series on mathematical psychology ;
|v v. 3.
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856 |
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