LEADER 05139nam 2200673 a 450 001 9910778815403321 005 20230725054443.0 010 $a1-280-37755-0 010 $a9786613555465 010 $a981-4368-01-6 035 $a(CKB)2550000000079798 035 $a(EBL)840703 035 $a(SSID)ssj0000598924 035 $a(PQKBManifestationID)12270786 035 $a(PQKBTitleCode)TC0000598924 035 $a(PQKBWorkID)10592402 035 $a(PQKB)10122780 035 $a(MiAaPQ)EBC840703 035 $a(WSP)00008272 035 $a(Au-PeEL)EBL840703 035 $a(CaPaEBR)ebr10524648 035 $a(CaONFJC)MIL355546 035 $a(OCoLC)877767422 035 $a(EXLCZ)992550000000079798 100 $a20110701d2011 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aDescriptive and normative approaches to human behavior$b[electronic resource] /$fedited by Ehtibar Dzhafarov & Lacey Perry 210 $aNew Jersey $cWorld Scientific$d2011 215 $a1 online resource (335 p.) 225 1 $aAdvanced series on mathematical psychology ;$vv. 3 300 $aDescription based upon print version of record. 311 $a981-4368-00-8 320 $aIncludes bibliographical references and index. 327 $aPreface; 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 327 $a2.3.2. 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 327 $a4. 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 327 $a4.4.1. 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 327 $a6.1. 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 327 $a6.3.1. Obtaining the best value for money 330 $aThe aim of the book is to present side-by-side representative and cutting-edge samples of work in mathematical psychology and the analytic philosophy with prominent use of mathematical formalisms. 410 0$aAdvanced series on mathematical psychology ;$vv. 3. 606 $aPsychology$xMathematical models 606 $aAnalysis (Philosophy)$xMathematical models 615 0$aPsychology$xMathematical models. 615 0$aAnalysis (Philosophy)$xMathematical models. 676 $a155.2 701 $aDzhafarov$b Ehtibar N$01558306 701 $aPerry$b Lacey$01558307 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910778815403321 996 $aDescriptive and normative approaches to human behavior$93822579 997 $aUNINA