Complexity explained:
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Berlin u.a.
Springer
2008
|
| Series: | Springer complexity
|
| Subjects: | |
| Online Access: | Inhaltstext Inhaltsverzeichnis |
| Item Description: | Literaturverz. S. [365] - 391 |
| Physical Description: | XV, 397 S. Ill., graph. Darst. 235 mm x 155 mm |
| ISBN: | 3540357777 |
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Record in the Search Index
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| adam_text | PETER ERDI COMPLEXITY EXPLAINED WITH 129 FIGURES FYA SPRINGER CONTENTS
COMPLEX SYSTEMS: THE INTELLECTUAL LANDSCAPE 1 1.1 THE CENTURY OF
COMPLEXITY? 1 1.2 CHARACTERISTICS OF SIMPLE AND COMPLEX SYSTEMS 5 1.2.1
SYSTEM AND ITS ENVIRONMENT 5 1.2.2 SIMPLE SYSTEMS 6 1.2.3 COMPLEX
SYSTEMS 7 1.3 CONNECTING THE DOTS 20 HISTORY OF COMPLEX SYSTEMS RESEARCH
25 2.1 REDUCTIONIST SUCCESS STORIES VERSUS THE IMPORTANCE OF
ORGANIZATION PRINCIPLES 25 2.1.1 REDUCTIONISM AND HOLISM IN QUANTUM
PHYSICS 25 2.1.2 REDUCTIONISM AND COMPLEXITY IN MOLECULAR BIOLOGY ... 29
2.2 ANCESTORS OF PRESENT DAY COMPLEX SYSTEM RESEARCH 35 2.2.1 SYSTEMS
THEORY 35 2.2.2 CYBERNETICS 37 2.2.3 NONLINEAR SCIENCE IN ACTION: THEORY
OF DISSIPATIVE STRUCTURES, SYNERGETICS AND CATASTROPHE THEORY 45 FROM
THE CLOCKWORK WORLD VIEW TO IRREVERSIBILITY (AND BACK?) 57 3.1 CYCLIC
UNIVERSE VERSUS LINEAR TIME CONCEPT: THE METAPHYSICAL PERSPECTIVE 57
3.1.1 CYCLIC UNIVERSE 57 3.1.2 LINEAR TIME CONCEPTS 59, 3.2 THE
NEWTONIAN CLOCKWORK UNIVERSE 61 3.2.1 THE MECHANICAL CLOCK 61 3.2.2
KEPLER S INTEGRAL LAWS 66 3.2.3 NEWTON S DIFFERENTIAL LAWS, HAMILTON
EQUATIONS, CONSERVATIVE OSCILLATION, DISSIPATION 68 3.3 MECHANICS VERSUS
THERMODYNAMICS 75 XII CONTENTS 3.3.1 HEAT CONDUCTION AND IRREVERSIBILITY
75 3.3.2 STEAM ENGINE, FEEDBACK CONTROL, IRREVERSIBILITY 77 3.3.3 THE
FIRST AND SECOND LAWS OF THERMODYNAMICS- 77 3.4 THE BIRTH OF THE MODERN
THEORY OF DYNAMICAL SYSTEMS 79 3.5 OSCILLATIONS 81 3.5.1 THE
LOTKA-VOLTERRA MODEL 81 3.5.2 STABLE OSCILLATION: LIMIT CYCLES 83 3.5.3
QUASIPERIODIC MOTIONS: A FEW WORDS ABOUT THE MODERN THEORY OF DYNAMICAL
SYSTEMS 86 3.6 THE CHAOS PARADIGM: THEN AND NOW 87 3.6.1 DEFINING AND
DETECTING CHAOS 87 3.6.2 STRUCTURAL AND GEOMETRICAL CONDITIONS OF CHAOS:
WHAT IS IMPORTANT AND WHAT IS NOT? 91 3.6.3 THE NECESSITY OF BEING
CHAOTIC 94 3.6.4 CONTROLLING CHAOS: WHY AND HOW? 96 3.6.5 TRAVELING TO
HIGH-DIMENSION LAND: CHAOTIC ITINERANCY 98 3.7 DIRECTION OF EVOLUTION
100 3.7.1 DOLLO S LAW IN RETROSPECTIVE 100 3.7.2 IS SOMETHING
NEVER-DECREASING DURING EVOLUTION? 102 3.8 CYCLIC UNIVERSE: REVISITED...
AND CRITICIZED 105 4 THE DYNAMIC WORLD VIEW IN ACTION 109 4.1 CAUSALITY,
TELEOLOGY AND ABOUT THE SCOPE AND LIMITS OF THE DYNAMICAL PARADIGM 109
4.1.1 CAUSAL VERSUS TELEOLOGICAL DESCRIPTION 110 4.1.2 CAUSALITY,
NETWORKS, EMERGENT NOVELTY 112 4.2 CHEMICAL KINETICS: A PROTOTYPE OF
NONLINEAR SCIENCE 113 4.2.1 ON THE STRUCTURE - DYNAMICS RELATIONSHIP FOR
CHEMICAL REACTIONS 118 4.2.2 CHEMICAL KINETICS AS A METALANGUAGE 119
4.2.3 SPATIOTEMPORAL PATTERNS IN CHEMISTRY AND BIOLOGY .... 120 4.3
SYSTEMS BIOLOGY: THE HALF ADMITTED RENAISSANCE OF CYBERNETICS AND
SYSTEMS THEORY 130 4.3.1 LIFE ITSELF 130 4.3.2 CELLS AS SELF-REFERENTIAL
SYSTEMS 131 4.3.3 THE OLD-NEW SYSTEMS BIOLOGY 133 4.3.4 RANDOM BOOLEAN
NETWORKS: MODEL FRAMEWORK AND APPLICATIONS FOR GENETIC NETWORKS 135 4.4
POPULATION DYNAMIC AND EPIDEMIC MODELS: BIOLOGICAL AND SOCIAL 140 4.4.1
CONNECTIVITY, STABILITY, DIVERSITY 140 4.4.2 THE EPIDEMIC PROPAGATION OF
INFECTIONS AND IDEAS 144 4.4.3 MODELING SOCIAL EPIDEMICS 146 4.5
EVOLUTIONARY DYNAMICS 147 4.6 DYNAMIC MODELS OF WAR AND LOVE 148
CONTENTS XIII 4.6.1 LANCHASTER S COMBAT MODEL AND ITS VARIATIONS 148
4.6.2 IS LOVE DIFFERENT FROM WAR? 151 4.7 SOCIAL DYNAMICS: SOME EXAMPLES
154 4.7.1 SEGREGATION DYNAMICS 154 4.7.2 OPINION DYNAMICS 157 4.8
NONLINEAR DYNAMICS IN ECONOMICS: SOME EXAMPLES 159 4.8.1 BUSINESS CYCLES
159 4.8.2 CONTROLLING CHAOS IN ECONOMIC MODELS 161 4.9 DRUG MARKET:
CONTROLLING CHAOS 162 5 THE SEARCH FOR LAWS: DEDUCTIVE VERSUS INDUCTIVE
165 5.1 DEDUCTIVE VERSUS INDUCTIVE ARGUMENTS 165 5.2 PRINCIPIA
MATHEMATICA AND THE DEDUCTIVE APPROACH: FROM NEWTON TO RUSSELL AND
WHITEHEAD 167 5.3 KARL POPPER AND THE PROBLEM OF INDUCTION 169 5.4
CYBERNETICS: BRIDGE BETWEEN NATURAL AND ARTIFICIAL 169 5.5 JOHN VON
NEUMANN: THE REAL PIONEER OF COMPLEX SYSTEMS STUDIES 170 5.6 ARTIFICIAL
INTELLIGENCE, HERBERT SIMON AND THE BOUNDED RATIONALITY 175 5.7
INDUCTIVE REASONING AND BOUNDED RATIONALITY: FROM HERBERT SIMON TO BRIAN
ARTHUR 178 5.8 MINORITY GAME 180 5.9 SUMMARY AND WHAT NEXT? 182 6
STATISTICAL LAWS: FROM SYMMETRIC TO ASYMMETRIC 185 6.1 NORMAL
DISTRIBUTION 185 6.1.1 GENERAL REMARKS 185 6.1.2 GENERATION OF NORMAL
DISTRIBUTION: BROWNIAN MOTION . . 187 6.1.3 LIOUVILLE PROCESS, WIENER
AND SPECIAL WIENER PROCESS, ORNSTEIN-UHLENBECK PROCESS 188 6.2 BIMODAL
AND MULTIMODAL DISTRIBUTIONS 190 6.3 LONG TAIL DISTRIBUTIONS 191 6.3.1
LOGNORMAL AND POWER LAW DISTRIBUTIONS: PHENOMENOLOGY 191 6.3.2
GENERATION OF LOGNORMAL AND POWER LAW DISTRIBUTIONS 194 7 SIMPLE AND
COMPLEX STRUCTURES: BETWEEN ORDER AND RANDOMNESS 201 7.1 COMPLEXITY AND
RANDOMNESS 201 7.2 STRUCTURAL COMPLEXITY 203 7.2.1 STRUCTURES AND GRAPHS
204 7.2.2 COMPLEXITY OF GRAPHS 208 7.2.3 FRACTAL STRUCTURES 212 7.3
NOISE-INDUCED ORDERING: AN ELEMENTARY MATHEMATICAL MODEL 217 XIV
CONTENTS 7.4 NETWORKS EVERYWHERE: BETWEEN ORDER AND RANDOMNESS 219 7.4.1
STATISTICAL APPROACH TO LARGE NETWORKS 219 7.4.2 NETWORKS IN CELL
BIOLOGY 221 7.4.3 EPIDEMICS ON NETWORKS 223 7.4.4 CITATION AND
COLLABORATION NETWORKS IN SCIENCE AND TECHNOLOGY 225 8 COMPLEXITY OF THE
BRAIN: STRUCTURE, FUNCTION AND DYNAMICS 237 8.1 INTRODUCTORY REMARKS 237
8.2 WINDOWS ON THE BRAIN 238 8.2.1 A FEW WORDS ABOUT THE BRAIN-MIND
PROBLEM 238 8.2.2 EXPERIMENTAL METHODS: A BRIEF REVIEW 239 8.3
APPROACHES AND ORGANIZATIONAL PRINCIPLES 241 8.3.1 LEVELS 241 8.3.2
BOTTOM UP AND TOP DOWN 242 8.3.3 ORGANIZATIONAL PRINCIPLES 243 8.4
SINGLE CELLS 247 8.4.1 SINGLE CELLS: GENERAL REMARKS 247 8.4.2 SINGLE
CELL MODELING: DETERMINISTIC AND STOCHASTIC FRAMEWORK 250 8.5 STRUCTURE,
DYNAMICS, FUNCTION 255 8.5.1 STRUCTURAL ASPECTS 255 8.5.2 NEURAL RHYTHMS
261 8.5.3 VARIATIONS ON THE HEBBIAN LEARNING RULE: DIFFERENT ROOTS 283
8.6 COMPLEXITY AND CYBERNETICS: TOWARDS A UNIFIED THEORY OF BRAIN-MIND
AND COMPUTER 289 8.6.1 CYBERNETICS STRIKES BACK 289 8.6.2 FROM COGNITIVE
SCIENCE TO EMBODIED COGNITION 291 8.6.3 THE BRAIN AS A HERMENEUTIC
DEVICE 296 8.6.4 FROM NEURONS TO SOUL AND BACK 299 9 FROM MODELS TO
DECISION MAKING 305 9.1 EQUATION-BASED VERSUS AGENT-BASED MODEL 305
9.1.1 MOTIVATIONS 305 9.1.2 ARTIFICIAL LIFE 306 9.1.3 ARTIFICIAL
SOCIETIES 311 9.1.4 AGENT-BASED COMPUTATIONAL ECONOMICS 316 9.2 GAME
THEORY: WHERE WE ARE NOW? 318 9.2.1 CLASSICAL GAME THEORY 318 9.2.2
EVOLUTIONARY GAME THEORY . 322 9.3 WIDENING THE LIMITS TO PREDICTIONS:
EARTHQUAKE, ERUPTIONS EPILEPTICS SEIZURES, AND STOCK MARKET CRASHES 328
9.3.1 SCOPE AND LIMITS OF PREDICTABILITY 328 CONTENTS XV 9.3.2
PHENOMENOLOGY 329 9.3.3 STATISTICAL ANALYSIS OF EXTREME EVENTS 338 9.3.4
TOWARDS PREDICTING SEIZURES 341 9.3.5 TOWARDS PREDICTING MARKET CRASHES:
ANALYSIS OF PRICE PEAKS 344 9.3.6 DYNAMICAL MODELS OF EXTREME EVENTS 345
10 HOW MANY CULTURES WE HAVE? 353 10.1 COMPLEXITY AS A UNIFYING CONCEPT
353 10.1.1 SYSTEMS AND SIMULATIONS 353 10.1.2 THE TOPICS OF THE BOOK IN
RETROSPECTIVE: NATURAL AND HUMAN SOCIOECONOMIE; SYSTEMS 354 10.2 THE
INGREDIENTS OF COMPLEX SYSTEMS 357 10.3 COMPLEXITY EXPLAINED: IN DEFENSE
OF (BOUNDED) RATIONALITY . . 359 REFERENCES 365 INDEX 393
|
| adam_txt |
PETER ERDI COMPLEXITY EXPLAINED WITH 129 FIGURES FYA SPRINGER CONTENTS
COMPLEX SYSTEMS: THE INTELLECTUAL LANDSCAPE 1 1.1 THE CENTURY OF
COMPLEXITY? 1 1.2 CHARACTERISTICS OF SIMPLE AND COMPLEX SYSTEMS 5 1.2.1
SYSTEM AND ITS ENVIRONMENT 5 1.2.2 SIMPLE SYSTEMS 6 1.2.3 COMPLEX
SYSTEMS 7 1.3 CONNECTING THE DOTS 20 HISTORY OF COMPLEX SYSTEMS RESEARCH
25 2.1 REDUCTIONIST SUCCESS STORIES VERSUS THE IMPORTANCE OF
ORGANIZATION PRINCIPLES 25 2.1.1 REDUCTIONISM AND HOLISM IN QUANTUM
PHYSICS 25 2.1.2 REDUCTIONISM AND COMPLEXITY IN MOLECULAR BIOLOGY . 29
2.2 ANCESTORS OF PRESENT DAY COMPLEX SYSTEM RESEARCH 35 2.2.1 SYSTEMS
THEORY 35 2.2.2 CYBERNETICS 37 2.2.3 NONLINEAR SCIENCE IN ACTION: THEORY
OF DISSIPATIVE STRUCTURES, SYNERGETICS AND CATASTROPHE THEORY 45 FROM
THE CLOCKWORK WORLD VIEW TO IRREVERSIBILITY (AND BACK?) 57 3.1 CYCLIC
UNIVERSE VERSUS LINEAR TIME CONCEPT: THE METAPHYSICAL PERSPECTIVE 57
3.1.1 CYCLIC UNIVERSE 57 3.1.2 LINEAR TIME CONCEPTS 59, 3.2 THE
NEWTONIAN CLOCKWORK UNIVERSE 61 3.2.1 THE MECHANICAL CLOCK 61 3.2.2
KEPLER'S INTEGRAL LAWS 66 3.2.3 NEWTON'S DIFFERENTIAL LAWS, HAMILTON
EQUATIONS, CONSERVATIVE OSCILLATION, DISSIPATION 68 3.3 MECHANICS VERSUS
THERMODYNAMICS 75 XII CONTENTS 3.3.1 HEAT CONDUCTION AND IRREVERSIBILITY
75 3.3.2 STEAM ENGINE, FEEDBACK CONTROL, IRREVERSIBILITY 77 3.3.3 THE
FIRST AND SECOND LAWS OF THERMODYNAMICS- 77 3.4 THE BIRTH OF THE MODERN
THEORY OF DYNAMICAL SYSTEMS 79 3.5 OSCILLATIONS 81 3.5.1 THE
LOTKA-VOLTERRA MODEL 81 3.5.2 STABLE OSCILLATION: LIMIT CYCLES 83 3.5.3
QUASIPERIODIC MOTIONS: A FEW WORDS ABOUT THE MODERN THEORY OF DYNAMICAL
SYSTEMS 86 3.6 THE CHAOS PARADIGM: THEN AND NOW 87 3.6.1 DEFINING AND
DETECTING CHAOS 87 3.6.2 STRUCTURAL AND GEOMETRICAL CONDITIONS OF CHAOS:
WHAT IS IMPORTANT AND WHAT IS NOT? 91 3.6.3 THE NECESSITY OF BEING
CHAOTIC 94 3.6.4 CONTROLLING CHAOS: WHY AND HOW? 96 3.6.5 TRAVELING TO
HIGH-DIMENSION LAND: CHAOTIC ITINERANCY 98 3.7 DIRECTION OF EVOLUTION
100 3.7.1 DOLLO'S LAW IN RETROSPECTIVE 100 3.7.2 IS SOMETHING
NEVER-DECREASING DURING EVOLUTION? 102 3.8 CYCLIC UNIVERSE: REVISITED.
AND CRITICIZED 105 4 THE DYNAMIC WORLD VIEW IN ACTION 109 4.1 CAUSALITY,
TELEOLOGY AND ABOUT THE SCOPE AND LIMITS OF THE DYNAMICAL PARADIGM 109
4.1.1 CAUSAL VERSUS TELEOLOGICAL DESCRIPTION 110 4.1.2 CAUSALITY,
NETWORKS, EMERGENT NOVELTY 112 4.2 CHEMICAL KINETICS: A PROTOTYPE OF
NONLINEAR SCIENCE 113 4.2.1 ON THE STRUCTURE - DYNAMICS RELATIONSHIP FOR
CHEMICAL REACTIONS 118 4.2.2 CHEMICAL KINETICS AS A METALANGUAGE 119
4.2.3 SPATIOTEMPORAL PATTERNS IN CHEMISTRY AND BIOLOGY . 120 4.3
SYSTEMS BIOLOGY: THE HALF ADMITTED RENAISSANCE OF CYBERNETICS AND
SYSTEMS THEORY 130 4.3.1 LIFE ITSELF 130 4.3.2 CELLS AS SELF-REFERENTIAL
SYSTEMS 131 4.3.3 THE OLD-NEW SYSTEMS BIOLOGY 133 4.3.4 RANDOM BOOLEAN
NETWORKS: MODEL FRAMEWORK AND APPLICATIONS FOR GENETIC NETWORKS 135 4.4
POPULATION DYNAMIC AND EPIDEMIC MODELS: BIOLOGICAL AND SOCIAL 140 4.4.1
CONNECTIVITY, STABILITY, DIVERSITY 140 4.4.2 THE EPIDEMIC PROPAGATION OF
INFECTIONS AND IDEAS 144 4.4.3 MODELING SOCIAL EPIDEMICS 146 4.5
EVOLUTIONARY DYNAMICS 147 4.6 DYNAMIC MODELS OF WAR AND LOVE 148
CONTENTS XIII 4.6.1 LANCHASTER'S COMBAT MODEL AND ITS VARIATIONS 148
4.6.2 IS LOVE DIFFERENT FROM WAR? 151 4.7 SOCIAL DYNAMICS: SOME EXAMPLES
154 4.7.1 SEGREGATION DYNAMICS 154 4.7.2 OPINION DYNAMICS 157 4.8
NONLINEAR DYNAMICS IN ECONOMICS: SOME EXAMPLES 159 4.8.1 BUSINESS CYCLES
159 4.8.2 CONTROLLING CHAOS IN ECONOMIC MODELS 161 4.9 DRUG MARKET:
CONTROLLING CHAOS 162 5 THE SEARCH FOR LAWS: DEDUCTIVE VERSUS INDUCTIVE
165 5.1 DEDUCTIVE VERSUS INDUCTIVE ARGUMENTS 165 5.2 PRINCIPIA
MATHEMATICA AND THE DEDUCTIVE APPROACH: FROM NEWTON TO RUSSELL AND
WHITEHEAD 167 5.3 KARL POPPER AND THE PROBLEM OF INDUCTION 169 5.4
CYBERNETICS: BRIDGE BETWEEN NATURAL AND ARTIFICIAL 169 5.5 JOHN VON
NEUMANN: THE REAL PIONEER OF COMPLEX SYSTEMS STUDIES 170 5.6 ARTIFICIAL
INTELLIGENCE, HERBERT SIMON AND THE BOUNDED RATIONALITY 175 5.7
INDUCTIVE REASONING AND BOUNDED RATIONALITY: FROM HERBERT SIMON TO BRIAN
ARTHUR 178 5.8 MINORITY GAME 180 5.9 SUMMARY AND "WHAT NEXT?" 182 6
STATISTICAL LAWS: FROM SYMMETRIC TO ASYMMETRIC 185 6.1 NORMAL
DISTRIBUTION 185 6.1.1 GENERAL REMARKS 185 6.1.2 GENERATION OF NORMAL
DISTRIBUTION: BROWNIAN MOTION . . 187 6.1.3 LIOUVILLE PROCESS, WIENER
AND SPECIAL WIENER PROCESS, ORNSTEIN-UHLENBECK PROCESS 188 6.2 BIMODAL
AND MULTIMODAL DISTRIBUTIONS 190 6.3 LONG TAIL DISTRIBUTIONS 191 6.3.1
LOGNORMAL AND POWER LAW DISTRIBUTIONS: PHENOMENOLOGY 191 6.3.2
GENERATION OF LOGNORMAL AND POWER LAW DISTRIBUTIONS 194 7 SIMPLE AND
COMPLEX STRUCTURES: BETWEEN ORDER AND RANDOMNESS 201 7.1 COMPLEXITY AND
RANDOMNESS 201 7.2 STRUCTURAL COMPLEXITY 203 7.2.1 STRUCTURES AND GRAPHS
204 7.2.2 COMPLEXITY OF GRAPHS 208 7.2.3 FRACTAL STRUCTURES 212 7.3
NOISE-INDUCED ORDERING: AN ELEMENTARY MATHEMATICAL MODEL 217 XIV
CONTENTS 7.4 NETWORKS EVERYWHERE: BETWEEN ORDER AND RANDOMNESS 219 7.4.1
STATISTICAL APPROACH TO LARGE NETWORKS 219 7.4.2 NETWORKS IN CELL
BIOLOGY 221 7.4.3 EPIDEMICS ON NETWORKS 223 7.4.4 CITATION AND
COLLABORATION NETWORKS IN SCIENCE AND TECHNOLOGY 225 8 COMPLEXITY OF THE
BRAIN: STRUCTURE, FUNCTION AND DYNAMICS 237 8.1 INTRODUCTORY REMARKS 237
8.2 WINDOWS ON THE BRAIN 238 8.2.1 A FEW WORDS ABOUT THE BRAIN-MIND
PROBLEM 238 8.2.2 EXPERIMENTAL METHODS: A BRIEF REVIEW 239 8.3
APPROACHES AND ORGANIZATIONAL PRINCIPLES 241 8.3.1 LEVELS 241 8.3.2
BOTTOM UP AND TOP DOWN 242 8.3.3 ORGANIZATIONAL PRINCIPLES 243 8.4
SINGLE CELLS 247 8.4.1 SINGLE CELLS: GENERAL REMARKS 247 8.4.2 SINGLE
CELL MODELING: DETERMINISTIC AND STOCHASTIC FRAMEWORK 250 8.5 STRUCTURE,
DYNAMICS, FUNCTION 255 8.5.1 STRUCTURAL ASPECTS 255 8.5.2 NEURAL RHYTHMS
261 8.5.3 VARIATIONS ON THE HEBBIAN LEARNING RULE: DIFFERENT ROOTS 283
8.6 COMPLEXITY AND CYBERNETICS: TOWARDS A UNIFIED THEORY OF BRAIN-MIND
AND COMPUTER 289 8.6.1 CYBERNETICS STRIKES BACK 289 8.6.2 FROM COGNITIVE
SCIENCE TO EMBODIED COGNITION 291 8.6.3 THE BRAIN AS A HERMENEUTIC
DEVICE 296 8.6.4 FROM NEURONS TO SOUL AND BACK 299 9 FROM MODELS TO
DECISION MAKING 305 9.1 EQUATION-BASED VERSUS AGENT-BASED MODEL 305
9.1.1 MOTIVATIONS 305 9.1.2 ARTIFICIAL LIFE 306 9.1.3 ARTIFICIAL
SOCIETIES 311 9.1.4 AGENT-BASED COMPUTATIONAL ECONOMICS 316 9.2 GAME
THEORY: WHERE WE ARE NOW? 318 9.2.1 CLASSICAL GAME THEORY 318 9.2.2
EVOLUTIONARY GAME THEORY . 322 9.3 WIDENING THE LIMITS TO PREDICTIONS:
EARTHQUAKE, ERUPTIONS EPILEPTICS SEIZURES, AND STOCK MARKET CRASHES 328
9.3.1 SCOPE AND LIMITS OF PREDICTABILITY 328 CONTENTS XV 9.3.2
PHENOMENOLOGY 329 9.3.3 STATISTICAL ANALYSIS OF EXTREME EVENTS 338 9.3.4
TOWARDS PREDICTING SEIZURES 341 9.3.5 TOWARDS PREDICTING MARKET CRASHES:
ANALYSIS OF PRICE PEAKS 344 9.3.6 DYNAMICAL MODELS OF EXTREME EVENTS 345
10 HOW MANY CULTURES WE HAVE? 353 10.1 COMPLEXITY AS A UNIFYING CONCEPT
353 10.1.1 SYSTEMS AND SIMULATIONS 353 10.1.2 THE TOPICS OF THE BOOK IN
RETROSPECTIVE: NATURAL AND HUMAN SOCIOECONOMIE; SYSTEMS 354 10.2 THE
INGREDIENTS OF COMPLEX SYSTEMS 357 10.3 COMPLEXITY EXPLAINED: IN DEFENSE
OF (BOUNDED) RATIONALITY . . 359 REFERENCES 365 INDEX 393 |
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| id | DE-604.BV023057050 |
| illustrated | Illustrated |
| index_date | 2024-07-02T19:27:11Z |
| indexdate | 2024-07-09T21:09:59Z |
| institution | BVB |
| isbn | 3540357777 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-016260322 |
| oclc_num | 244013588 |
| open_access_boolean | |
| owner | DE-19 DE-BY-UBM DE-M347 |
| owner_facet | DE-19 DE-BY-UBM DE-M347 |
| physical | XV, 397 S. Ill., graph. Darst. 235 mm x 155 mm |
| publishDate | 2008 |
| publishDateSearch | 2008 |
| publishDateSort | 2008 |
| publisher | Springer |
| record_format | marc |
| series2 | Springer complexity |
| spelling | Érdi, Péter Verfasser aut Complexity explained Péter Érdi Berlin u.a. Springer 2008 XV, 397 S. Ill., graph. Darst. 235 mm x 155 mm txt rdacontent n rdamedia nc rdacarrier Springer complexity Literaturverz. S. [365] - 391 Complexity (Philosophy) Computational complexity System theory Komplexes System (DE-588)4114261-5 gnd rswk-swf Komplexes System (DE-588)4114261-5 s DE-604 text/html http://deposit.dnb.de/cgi-bin/dokserv?id=2819224&prov=M&dok_var=1&dok_ext=htm Inhaltstext HEBIS Datenaustausch Darmstadt application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016260322&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Érdi, Péter Complexity explained Complexity (Philosophy) Computational complexity System theory Komplexes System (DE-588)4114261-5 gnd |
| subject_GND | (DE-588)4114261-5 |
| title | Complexity explained |
| title_auth | Complexity explained |
| title_exact_search | Complexity explained |
| title_exact_search_txtP | Complexity explained |
| title_full | Complexity explained Péter Érdi |
| title_fullStr | Complexity explained Péter Érdi |
| title_full_unstemmed | Complexity explained Péter Érdi |
| title_short | Complexity explained |
| title_sort | complexity explained |
| topic | Complexity (Philosophy) Computational complexity System theory Komplexes System (DE-588)4114261-5 gnd |
| topic_facet | Complexity (Philosophy) Computational complexity System theory Komplexes System |
| url | http://deposit.dnb.de/cgi-bin/dokserv?id=2819224&prov=M&dok_var=1&dok_ext=htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016260322&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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