Descriptive and normative approaches to human behavior [[electronic resource] /] / edited by Ehtibar Dzhafarov & Lacey Perry |
Pubbl/distr/stampa | New Jersey, : World Scientific, 2011 |
Descrizione fisica | 1 online resource (335 p.) |
Disciplina | 155.2 |
Altri autori (Persone) |
DzhafarovEhtibar N
PerryLacey |
Collana | Advanced series on mathematical psychology |
Soggetto topico |
Psychology - Mathematical models
Analysis (Philosophy) - Mathematical models |
Soggetto genere / forma | Electronic books. |
ISBN |
1-280-37755-0
9786613555465 981-4368-01-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
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
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 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 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 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 6.3.1. Obtaining the best value for money |
Record Nr. | UNINA-9910457266303321 |
New Jersey, : World Scientific, 2011 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Descriptive and normative approaches to human behavior [[electronic resource] /] / edited by Ehtibar Dzhafarov & Lacey Perry |
Pubbl/distr/stampa | New Jersey, : World Scientific, 2011 |
Descrizione fisica | 1 online resource (335 p.) |
Disciplina | 155.2 |
Altri autori (Persone) |
DzhafarovEhtibar N
PerryLacey |
Collana | Advanced series on mathematical psychology |
Soggetto topico |
Psychology - Mathematical models
Analysis (Philosophy) - Mathematical models |
ISBN |
1-280-37755-0
9786613555465 981-4368-01-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
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
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 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 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 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 6.3.1. Obtaining the best value for money |
Record Nr. | UNINA-9910778815403321 |
New Jersey, : World Scientific, 2011 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Descriptive and normative approaches to human behavior / / edited by Ehtibar Dzhafarov & Lacey Perry |
Edizione | [1st ed.] |
Pubbl/distr/stampa | New Jersey, : World Scientific, 2011 |
Descrizione fisica | 1 online resource (335 p.) |
Disciplina | 155.2 |
Altri autori (Persone) |
DzhafarovEhtibar N
PerryLacey |
Collana | Advanced series on mathematical psychology |
Soggetto topico |
Psychology - Mathematical models
Analysis (Philosophy) - Mathematical models |
ISBN |
1-280-37755-0
9786613555465 981-4368-01-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
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
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 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 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 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 6.3.1. Obtaining the best value for money |
Record Nr. | UNINA-9910813877703321 |
New Jersey, : World Scientific, 2011 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|