The mathematics of behavior:
"Mathematical thinking provides a clear, crisp way of defining problems. Our whole technology is based on it. What is less appreciated is that mathematical thinking can also be applied to problems in the social and behavioral sciences. This book illustrates how mathematics can be employed for u...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cambridge [u.a.]
Cambridge Univ. Press
2007
|
| Ausgabe: | 1. publ. |
| Schlagworte: | |
| Online-Zugang: | Table of contents only Publisher description Inhaltsverzeichnis |
| Zusammenfassung: | "Mathematical thinking provides a clear, crisp way of defining problems. Our whole technology is based on it. What is less appreciated is that mathematical thinking can also be applied to problems in the social and behavioral sciences. This book illustrates how mathematics can be employed for understanding human and animal behavior, using examples in psychology, sociology, economics, ecology, and even marriage counseling."--BOOK JACKET. |
| Beschreibung: | Includes bibliographical references (p. 328-332) and indexes |
| Beschreibung: | X, 346 S. graph. Darst. 24 cm |
| ISBN: | 0521850126 9780521850124 0521615224 9780521615228 |
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| 650 | 4 | |a Psychologie - Modèles mathématiques | |
| 650 | 4 | |a Sciences sociales - Modèles mathématiques | |
| 650 | 7 | |a Sociale wetenschappen |2 gtt | |
| 650 | 7 | |a Wiskundige modellen |2 gtt | |
| 650 | 4 | |a Mathematisches Modell | |
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Datensatz im Suchindex
| _version_ | 1804136297539829760 |
|---|---|
| adam_text | PREFACE PAGE IX 1 INTRODUCTION 1 1.1. WHAT S IN THE BOOK? 1 1.2. SOME
EXAMPLES OF FORMAL AND INFORMAL THINKING 2 1.3. A BIT OF HISTORY 4 1.4.
HOW BIG IS THE EARTH? ERATOSTHENES SOLUTION 5 1.5. A CRITIQUE OF
ERATOSTHENES 12 1.6. APPLICATIONS OF MATHEMATICS TO SOCIAL AND
BEHAVIORAL ISSUES 14 1.7. STATISTICS 16 2 APPLYING PROBABILITY THEORY TO
PROBLEMS IN SOCIOLOGY AND PSYCHOLOGY 18 2.1. INTRODUCTION 18 2.2.
DEFINING PROBABILITY AND PROBABILITY MEASURES 19 2.3. HOW CLOSELY
CONNECTED ARE WE? 23 2.4. CONSCIOUS AND UNCONSCIOUS MEMORIES 27 2.5.
SOME FINAL COMMENTS 32 APPENDIX 2A. THE BASIS FOR KOLMOGOROV S AXIOMS 32
APPENDIX 2B. SOME IMPORTANT PROPERTIES OF PROBABILITY MEASURES 33 3 FROM
PHYSICS TO PERCEPTION 42 3.1. THE PSYCHOPHYSICAL PROBLEM 42 3.2. WEBER S
LAW 44 3.3. FECHNER S LAW 47 3.4. STEVENS S SCALING TECHNIQUE: DERIVING
THE PSYCHOPHYSICAL FUNCTION FROM MAGNITUDE ESTIMATION 53 3.5. JUDGING
COMPLEX OBJECTS 61 3.6. A COMMENT ON MEASUREMENT 65 VI CONTENTS 4 WHEN
SYSTEMS EVOLVE OVER TIME 67 4.1. SYSTEMS OF VARIABLES 67 4.2.
DIFFERENCES AND DIFFERENTIATION 68 4.3. EXPONENTIAL GROWTH AND DECAY 70
4.4. NUMERICAL ANALYSIS: THE TRANSMISSION OF JOKES AND COLDS 76 4.5.
QUESTIONS ABOUT MODELING 81 4.6. GRAPHICAL ANALYSIS: THE EVOLUTION OF
WAR AND PEACE 86 4.7. MAKING LOVE, NOT WAR: THE GOTTMAN-MURRAY MODEL OF
MARITAL INTERACTIONS 96 4.8. CONCLUDING COMMENTS ON MODELING SIMPLE
SYSTEMS 101 APPENDIX 4A. A PROOF OF THE EXPONENTIAL GROWTH EQUATION 103
5 NON-LINEAR AND CHAOTIC SYSTEMS 104 5.1. CONTINUOUS CHANGE AND SUDDEN
JUMPS 104 5.2. THE LOTKA-VOLTERRA MODEL OF PREDATOR AND PREY
INTERACTIONS 106 5.3. THE LOGISTIC EQUATION: INTRODUCTION AND BEHAVIOR
WHEN K 111 5.4. NON-ZERO ASYMPTOTES AND CYCLES AS K INCREASES 116 5.5.
CHAOS 121 5.6. CHAOS AND NETWORK MODELS 123 5.7. CLOSING COMMENTS ON
CHAOS 130 6 DEFINING RATIONALITY 132 6.1. AXIOMATIC REASONING 132 6.2.
DECISION MAKING UNDER RISK 133 6.3. THE CONCEPT OF UTILITY 135 6.4. VON
NEUMANN AND MORGENSTERN S AXIOMATIC APPROACH TO DECISION MAKING 139 6.5.
THE UTILITY OF MONEY 143 6.6. A SUMMARY OF THE ARGUMENT 148 6.7.
PSYCHOLOGICAL RESEARCH ON DECISION MAKING 151 6.8. THE PROBLEM OF VOTING
158 6.9. DEFINITION AND NOTATION 161 6.10. ARROW S AXIOMS: THE
RESTRICTIONS ON SOCIAL WELFARE FUNCTIONS 162 6.11. ILLUSTRATION OF THE
DEFINITIONS AND CONCEPTS FOR THE THREE-PERSON SOCIETY 164 6.12. A PROOF
OF ARROW S THEOREM 155 6.13. COMMENTARY ON THE IMPLICATIONS OF ARROW S
THEOREM 173 6.14. SUMMARY COMMENTS AND QUESTIONS ABOUT AXIOMATIC
REASONING 174 CONTENTS VII 7 HOW TO EVALUATE EVIDENCE 176 7.1. THE
LEGACY OF REVEREND BAYES 176 7.2. BAYES THEOREM 178 7.3. SOME
NURNERICAL EXAMPLES 180 7.4. CALCULATING THE ODDS 184 7.5. SOME EXAMPLES
OF SIGNAL DETECTION 185 7.6. A MATHEMATICAL FORMULATION OF THE SIGNAL
DETECTION PROBLEM 187 7.7. THE DECISION ANALYST S PROBLEM 191 7.8. A
NUMERICAL EXAMPLE OF ROC ANALYSIS 199 7.9. ESTABLISHING A CRITERION 203
7.10. EXAMPLES 207 7.11. FOUR CHALLENGE PROBLEMS 213 8 MULTIDIMENSIONAL
SCALING 216 8.1. THE BASIC IDEA 216 8.2. STEPS AND TECHNIQUE 219 8.3.
EXTENSIONS TO NON-GEOMETRIC DATA 222 8.4. EXTENDING THE IDEA TO
CONCEPTUAL CLASSES 223 8.5. GENERALIZATIONS OF SEMANTIC SPACE MODELS 227
8.6. QUALIFICATIONS ON THE SEMANTIC SPACE MODEL 229 9 THE MATHEMATICAL
MODELS BEHIND PSYCHOLOGICAL TESTING 231 9.1. INTRODUCTION 231 9.2. A
BRIEF REVIEW OF CORRELATION AND COVARIANCE 234 9.3. PREDICTING ONE
VARIABLE FROM ANOTHER: LINEAR REGRESSION 240 9.4. THE SINGLE FACTOR
MODEL: THE CASE OF GENERAL INTELLIGENCE 244 9.5. MULTIFACTOR THEORIES OF
INTELLIGENCE AND PERSONALITY 249 9.6. GEOMETRIC AND GRAPHIC
INTERPRETATIONS 254 9.7. WHAT SORT OF RESULTS ARE OBTAINED? 255 APPENDIX
9A. A MATRIX ALGEBRA PRESENTATION OF FACTOR ANALYSIS 256 10 HOW TO KNOW
YOU ASKED A GOOD QUESTION 259 10.1. THE PROBLEM 259 10.2. AN
ILLUSTRATIVE CASE: VOCABULARY TESTING 260 10.3. THE BASICS OF ITEM
RESPONSE THEORY 262 10.4. STANDARDIZATION: ESTIMATING ITEM AND PERSON
PARAMETERS SIMULTANEOUSLY 265 10.5. THE APPLICATION PHASE: ADAPTIVE
TESTING 267 10.6. MORE COMPLICATED IRT MODELS 269 VLLL CONTENTS 11 12 13
10.7. MATHEMATICS MEETS THE SOCIAL WORLD: MATHEMATICAL ISSUES AND SOCIAL
RELEVANCE APPENDIX 10A. THE ADAPTIVE TESTING ALGORITHM APPENDIX 10B. AN
EXERCISE IN ADAPTIVE TESTING THE CONSTRUCTION OP COMPLEXITY 11.1. SOME
GRAND THEMES 11.2. THE PROBLEM OF COMPLEXITY 11.3. CELLULAR AUTOMATA CAN
CREATE COMPLICATED CONSTRUCTIONS 11.4. IS CAPITALISM INHERENTLY UNFAIR?
RECONSTRUCTING A SIMPLE MARKET ECONOMY 11.5. RESIDENTIAL SEGREGATION,
GENOCIDE, AND THE USEFULNESS OF THE POLICE 11.6. IS THIS A NEW KIND OF
SCIENCE? CONNECTIONISM THE BRAIN AND THE MIND COMPUTATION AT THE NEURAL
LEVEL COMPUTATIONS AT THE NETWORK LEVEL A PHILOSOPHICAL ASIDE
CONNECTIONIST ARCHITECTURES SIMULATING A PHENOMENON IN VISUAL
RECOGNITION: THE INTERACTIVE ACTIVATION MODEL AN ARTIFICIAL INTELLIGENCE
APPROACH TO LEARNING A BIOLOGICAL APPROACH TO LEARNING: THE HEBBIAN
ALGORITHM THE AUTO-ASSOCIATOR 12.1. 12.2. 12.3. 12.4. 12.5. 12.6. 12.7.
12.8. 12.9. 12.10. A FINAL WORD L ENVOI REFERENCES INDEX OF NAMES INDEX
OF SUBJECTS 272 274 275 277 277 278 281 283 289 294 297 297 299 303 307
309 311 313 319 321 324 325 328 333 337 PPN: 257281622 TITEL: THE
MATHEMATICS OF BEHAVIOR / EARL HUNT. - . - CAMBRIDGE [U.A.] : CAMBRIDGE
UNIV. PRESS, 2007 ISBN: 0-521-85012-6(HBK.); 0-521-61522-4(PBK.);
978-0-521-61522-8; 978-0-521-85012-4 BIBLIOGRAPHISCHER DATENSATZ IM
SWB-VERBUND
|
| adam_txt |
PREFACE PAGE IX 1 INTRODUCTION 1 1.1. WHAT'S IN THE BOOK? 1 1.2. SOME
EXAMPLES OF FORMAL AND INFORMAL THINKING 2 1.3. A BIT OF HISTORY 4 1.4.
HOW BIG IS THE EARTH? ERATOSTHENES' SOLUTION 5 1.5. A CRITIQUE OF
ERATOSTHENES 12 1.6. APPLICATIONS OF MATHEMATICS TO SOCIAL AND
BEHAVIORAL ISSUES 14 1.7. STATISTICS 16 2 APPLYING PROBABILITY THEORY TO
PROBLEMS IN SOCIOLOGY AND PSYCHOLOGY 18 2.1. INTRODUCTION 18 2.2.
DEFINING PROBABILITY AND PROBABILITY MEASURES 19 2.3. HOW CLOSELY
CONNECTED ARE WE? 23 2.4. CONSCIOUS AND UNCONSCIOUS MEMORIES 27 2.5.
SOME FINAL COMMENTS 32 APPENDIX 2A. THE BASIS FOR KOLMOGOROV'S AXIOMS 32
APPENDIX 2B. SOME IMPORTANT PROPERTIES OF PROBABILITY MEASURES 33 3 FROM
PHYSICS TO PERCEPTION 42 3.1. THE PSYCHOPHYSICAL PROBLEM 42 3.2. WEBER'S
LAW 44 3.3. FECHNER'S LAW 47 3.4. STEVENS'S SCALING TECHNIQUE: DERIVING
THE PSYCHOPHYSICAL FUNCTION FROM MAGNITUDE ESTIMATION 53 3.5. JUDGING
COMPLEX OBJECTS 61 3.6. A COMMENT ON MEASUREMENT 65 VI CONTENTS 4 WHEN
SYSTEMS EVOLVE OVER TIME 67 4.1. SYSTEMS OF VARIABLES 67 4.2.
DIFFERENCES AND DIFFERENTIATION 68 4.3. EXPONENTIAL GROWTH AND DECAY 70
4.4. NUMERICAL ANALYSIS: THE TRANSMISSION OF JOKES AND COLDS 76 4.5.
QUESTIONS ABOUT MODELING 81 4.6. GRAPHICAL ANALYSIS: THE EVOLUTION OF
WAR AND PEACE 86 4.7. MAKING LOVE, NOT WAR: THE GOTTMAN-MURRAY MODEL OF
MARITAL INTERACTIONS 96 4.8. CONCLUDING COMMENTS ON MODELING SIMPLE
SYSTEMS 101 APPENDIX 4A. A PROOF OF THE EXPONENTIAL GROWTH EQUATION 103
5 NON-LINEAR AND CHAOTIC SYSTEMS 104 5.1. CONTINUOUS CHANGE AND SUDDEN
JUMPS 104 5.2. THE LOTKA-VOLTERRA MODEL OF PREDATOR AND PREY
INTERACTIONS 106 5.3. THE LOGISTIC EQUATION: INTRODUCTION AND BEHAVIOR
WHEN K \ 111 5.4. NON-ZERO ASYMPTOTES AND CYCLES AS K INCREASES 116 5.5.
CHAOS 121 5.6. CHAOS AND NETWORK MODELS 123 5.7. CLOSING COMMENTS ON
CHAOS 130 6 DEFINING RATIONALITY 132 6.1. AXIOMATIC REASONING 132 6.2.
DECISION MAKING UNDER RISK 133 6.3. THE CONCEPT OF UTILITY 135 6.4. VON
NEUMANN AND MORGENSTERN'S AXIOMATIC APPROACH TO DECISION MAKING 139 6.5.
THE UTILITY OF MONEY 143 6.6. A SUMMARY OF THE ARGUMENT 148 6.7.
PSYCHOLOGICAL RESEARCH ON DECISION MAKING 151 6.8. THE PROBLEM OF VOTING
158 6.9. DEFINITION AND NOTATION 161 6.10. ARROW'S AXIOMS: THE
RESTRICTIONS ON SOCIAL WELFARE FUNCTIONS 162 6.11. ILLUSTRATION OF THE
DEFINITIONS AND CONCEPTS FOR THE THREE-PERSON SOCIETY 164 6.12. A PROOF
OF ARROW'S THEOREM 155 6.13. COMMENTARY ON THE IMPLICATIONS OF ARROW'S
THEOREM 173 6.14. SUMMARY COMMENTS AND QUESTIONS ABOUT AXIOMATIC
REASONING 174 CONTENTS VII 7 HOW TO EVALUATE EVIDENCE 176 7.1. THE
LEGACY OF REVEREND BAYES 176 7.2. BAYES' THEOREM 178 7.3. SOME
NURNERICAL EXAMPLES 180 7.4. CALCULATING THE ODDS 184 7.5. SOME EXAMPLES
OF SIGNAL DETECTION 185 7.6. A MATHEMATICAL FORMULATION OF THE SIGNAL
DETECTION PROBLEM 187 7.7. THE DECISION ANALYST'S PROBLEM 191 7.8. A
NUMERICAL EXAMPLE OF ROC ANALYSIS 199 7.9. ESTABLISHING A CRITERION 203
7.10. EXAMPLES 207 7.11. FOUR CHALLENGE PROBLEMS 213 8 MULTIDIMENSIONAL
SCALING 216 8.1. THE BASIC IDEA 216 8.2. STEPS AND TECHNIQUE 219 8.3.
EXTENSIONS TO NON-GEOMETRIC DATA 222 8.4. EXTENDING THE IDEA TO
CONCEPTUAL CLASSES 223 8.5. GENERALIZATIONS OF SEMANTIC SPACE MODELS 227
8.6. QUALIFICATIONS ON THE SEMANTIC SPACE MODEL 229 9 THE MATHEMATICAL
MODELS BEHIND PSYCHOLOGICAL TESTING 231 9.1. INTRODUCTION 231 9.2. A
BRIEF REVIEW OF CORRELATION AND COVARIANCE 234 9.3. PREDICTING ONE
VARIABLE FROM ANOTHER: LINEAR REGRESSION 240 9.4. THE SINGLE FACTOR
MODEL: THE CASE OF GENERAL INTELLIGENCE 244 9.5. MULTIFACTOR THEORIES OF
INTELLIGENCE AND PERSONALITY 249 9.6. GEOMETRIC AND GRAPHIC
INTERPRETATIONS 254 9.7. WHAT SORT OF RESULTS ARE OBTAINED? 255 APPENDIX
9A. A MATRIX ALGEBRA PRESENTATION OF FACTOR ANALYSIS 256 10 HOW TO KNOW
YOU ASKED A GOOD QUESTION 259 10.1. THE PROBLEM 259 10.2. AN
ILLUSTRATIVE CASE: VOCABULARY TESTING 260 10.3. THE BASICS OF ITEM
RESPONSE THEORY 262 10.4. STANDARDIZATION: ESTIMATING ITEM AND PERSON
PARAMETERS SIMULTANEOUSLY 265 10.5. THE APPLICATION PHASE: ADAPTIVE
TESTING 267 10.6. MORE COMPLICATED IRT MODELS 269 VLLL CONTENTS 11 12 13
10.7. MATHEMATICS MEETS THE SOCIAL WORLD: MATHEMATICAL ISSUES AND SOCIAL
RELEVANCE APPENDIX 10A. THE ADAPTIVE TESTING ALGORITHM APPENDIX 10B. AN
EXERCISE IN ADAPTIVE TESTING THE CONSTRUCTION OP COMPLEXITY 11.1. SOME
GRAND THEMES 11.2. THE PROBLEM OF COMPLEXITY 11.3. CELLULAR AUTOMATA CAN
CREATE COMPLICATED CONSTRUCTIONS 11.4. IS CAPITALISM INHERENTLY UNFAIR?
RECONSTRUCTING A SIMPLE MARKET ECONOMY 11.5. RESIDENTIAL SEGREGATION,
GENOCIDE, AND THE USEFULNESS OF THE POLICE 11.6. IS THIS A NEW KIND OF
SCIENCE? CONNECTIONISM THE BRAIN AND THE MIND COMPUTATION AT THE NEURAL
LEVEL COMPUTATIONS AT THE NETWORK LEVEL A PHILOSOPHICAL ASIDE
CONNECTIONIST ARCHITECTURES SIMULATING A PHENOMENON IN VISUAL
RECOGNITION: THE INTERACTIVE ACTIVATION MODEL AN ARTIFICIAL INTELLIGENCE
APPROACH TO LEARNING A BIOLOGICAL APPROACH TO LEARNING: THE HEBBIAN
ALGORITHM THE AUTO-ASSOCIATOR 12.1. 12.2. 12.3. 12.4. 12.5. 12.6. 12.7.
12.8. 12.9. 12.10. A FINAL WORD L'ENVOI REFERENCES INDEX OF NAMES INDEX
OF SUBJECTS 272 274 275 277 277 278 281 283 289 294 297 297 299 303 307
309 311 313 319 321 324 325 328 333 337 PPN: 257281622 TITEL: THE
MATHEMATICS OF BEHAVIOR / EARL HUNT. - . - CAMBRIDGE [U.A.] : CAMBRIDGE
UNIV. PRESS, 2007 ISBN: 0-521-85012-6(HBK.); 0-521-61522-4(PBK.);
978-0-521-61522-8; 978-0-521-85012-4 BIBLIOGRAPHISCHER DATENSATZ IM
SWB-VERBUND |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| author | Hunt, Earl B. 1933-2016 |
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| author_role | aut |
| author_sort | Hunt, Earl B. 1933-2016 |
| author_variant | e b h eb ebh |
| building | Verbundindex |
| bvnumber | BV022286521 |
| callnumber-first | B - Philosophy, Psychology, Religion |
| callnumber-label | BF39 |
| callnumber-raw | BF39 |
| callnumber-search | BF39 |
| callnumber-sort | BF 239 |
| callnumber-subject | BF - Psychology |
| classification_rvk | CM 2500 |
| ctrlnum | (OCoLC)62161149 (DE-599)BVBBV022286521 |
| dewey-full | 150.1/51 |
| dewey-hundreds | 100 - Philosophy & psychology |
| dewey-ones | 150 - Psychology |
| dewey-raw | 150.1/51 |
| dewey-search | 150.1/51 |
| dewey-sort | 3150.1 251 |
| dewey-tens | 150 - Psychology |
| discipline | Psychologie |
| discipline_str_mv | Psychologie |
| edition | 1. publ. |
| format | Book |
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| id | DE-604.BV022286521 |
| illustrated | Illustrated |
| index_date | 2024-07-02T16:51:00Z |
| indexdate | 2024-07-09T20:54:10Z |
| institution | BVB |
| isbn | 0521850126 9780521850124 0521615224 9780521615228 |
| language | English |
| lccn | 2005030591 |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-015496739 |
| oclc_num | 62161149 |
| open_access_boolean | |
| owner | DE-473 DE-BY-UBG DE-824 DE-19 DE-BY-UBM DE-706 DE-83 |
| owner_facet | DE-473 DE-BY-UBG DE-824 DE-19 DE-BY-UBM DE-706 DE-83 |
| physical | X, 346 S. graph. Darst. 24 cm |
| publishDate | 2007 |
| publishDateSearch | 2007 |
| publishDateSort | 2007 |
| publisher | Cambridge Univ. Press |
| record_format | marc |
| spelling | Hunt, Earl B. 1933-2016 Verfasser (DE-588)133174530 aut The mathematics of behavior Earl Hunt 1. publ. Cambridge [u.a.] Cambridge Univ. Press 2007 X, 346 S. graph. Darst. 24 cm txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references (p. 328-332) and indexes "Mathematical thinking provides a clear, crisp way of defining problems. Our whole technology is based on it. What is less appreciated is that mathematical thinking can also be applied to problems in the social and behavioral sciences. This book illustrates how mathematics can be employed for understanding human and animal behavior, using examples in psychology, sociology, economics, ecology, and even marriage counseling."--BOOK JACKET. Psychologie - Modèles mathématiques Sciences sociales - Modèles mathématiques Sociale wetenschappen gtt Wiskundige modellen gtt Mathematisches Modell Sozialwissenschaften Psychology Mathematical models Social sciences Mathematical models Mathematische Psychologie (DE-588)4126558-0 gnd rswk-swf Mathematische Psychologie (DE-588)4126558-0 s DE-604 http://www.loc.gov/catdir/toc/ecip062/2005030591.html Table of contents only http://www.loc.gov/catdir/enhancements/fy0633/2005030591-d.html Publisher description SWB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015496739&sequence=000009&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Hunt, Earl B. 1933-2016 The mathematics of behavior Psychologie - Modèles mathématiques Sciences sociales - Modèles mathématiques Sociale wetenschappen gtt Wiskundige modellen gtt Mathematisches Modell Sozialwissenschaften Psychology Mathematical models Social sciences Mathematical models Mathematische Psychologie (DE-588)4126558-0 gnd |
| subject_GND | (DE-588)4126558-0 |
| title | The mathematics of behavior |
| title_auth | The mathematics of behavior |
| title_exact_search | The mathematics of behavior |
| title_exact_search_txtP | The mathematics of behavior |
| title_full | The mathematics of behavior Earl Hunt |
| title_fullStr | The mathematics of behavior Earl Hunt |
| title_full_unstemmed | The mathematics of behavior Earl Hunt |
| title_short | The mathematics of behavior |
| title_sort | the mathematics of behavior |
| topic | Psychologie - Modèles mathématiques Sciences sociales - Modèles mathématiques Sociale wetenschappen gtt Wiskundige modellen gtt Mathematisches Modell Sozialwissenschaften Psychology Mathematical models Social sciences Mathematical models Mathematische Psychologie (DE-588)4126558-0 gnd |
| topic_facet | Psychologie - Modèles mathématiques Sciences sociales - Modèles mathématiques Sociale wetenschappen Wiskundige modellen Mathematisches Modell Sozialwissenschaften Psychology Mathematical models Social sciences Mathematical models Mathematische Psychologie |
| url | http://www.loc.gov/catdir/toc/ecip062/2005030591.html http://www.loc.gov/catdir/enhancements/fy0633/2005030591-d.html http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015496739&sequence=000009&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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