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Unifying Themes In Complex Systems, Volume 1 : Proceedings Of The First International Conference On Complex Systems - Yaneer Bar-Yam

Unifying Themes In Complex Systems, Volume 1

Proceedings Of The First International Conference On Complex Systems

Paperback Published: 31st July 2003
ISBN: 9780813341224
Number Of Pages: 696

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The study of complex systems has attracted a broad range of researchers from many disciplines spanning both the hard and soft sciences. In the Autumn of 1997, 300 of these researchers came together for the First International Conference on Complex Systems. The proceedings of this conference is the first book in the New England Complex Systems Institute Series on Complexity and includes more than 100 presentations and papers on topics like evolution, emergence, complexity, self-organization, scaling, informatics, time series, emergence of mind, and engineering of complex systems.

Introductionp. xvii
"Significant points" in the study of complex systemsp. xxi
Organization and Programp. xxv
Transcriptsp. 1
Can there be a science of complex systems?p. 3
General systems theory?p. 4
Some principles of complex system designp. 5
Organizations and marketsp. 9
Conclusionp. 13
Evolutionp. 15
Selection and productionp. 16
Variationp. 19
Psychology and corporations: A complex systems perspectivep. 27
Genome complexity (Session introduction: Emergence)p. 29
Emergent properties and behavior of the atmospherep. 33
Systems properties of metabolic networksp. 43
A hypothesis about hierarchiesp. 45
Session introduction: Informaticsp. 53
Whole genome bioinformaticsp. 55
Session introduction: Computational methodsp. 69
Papersp. 73
Theories in (inter) action: A complex dynamic system for theory evaluation in Science Studiesp. 75
Modeling fractal patterns with Genetic Algorithm solutions to a variant of the inverse problem for Iterated Function Systems (IFS)p. 85
Introductionp. 86
Encoding the IFS on a GAp. 88
The GA searchp. 91
Applicationsp. 97
Conclusionsp. 99
An artificial life model for investigating the evolution of modularityp. 103
Introductionp. 104
The modelp. 105
Preliminary resultsp. 108
Conclusionsp. 109
From inductive inference to the fundamental equation of measurementp. 115
Introductionp. 115
The evolution of a model during learningp. 116
Shannon entropyp. 119
Conclusionp. 121
Controlling chaos in systems of coupled maps with long-range interactionsp. 123
Introductionp. 124
Model and resultsp. 124
Discussionp. 129
Assessing software organizations from a complex systems perspectivep. 133
Introductionp. 134
The software process and its evaluationp. 134
A metaphor for the software process: Morphogenesisp. 136
Conclusionp. 139
Hazards, self-organization, and risk compensation: A view of life at the edgep. 143
Introductionp. 144
Self-organized criticalityp. 145
Risk compensationp. 147
Hazards and the balancing actp. 148
Statistics and indicatorsp. 150
Multifactor disastersp. 151
Risk compensation and progressp. 151
Summaryp. 151
Structure formation by Active Brownian particles with nonlinear frictionp. 153
Introductionp. 153
Self-moving particlesp. 154
Systems properties of metabolic networksp. 163
Introductionp. 164
Steady state of a metabolic networkp. 168
Metabolic control analysisp. 170
Feedback regulationp. 172
Large changes in metabolic ratep. 174
Hierarchical organisation of metabolismp. 174
Complex dynamics of molecular evolutionary processesp. 179
Introductionp. 180
Biomoleculesp. 181
Evolutionary dynamicsp. 184
Catalytic reaction networksp. 188
Conclusionp. 193
Genetic network inferencep. 199
Introductionp. 200
Methodsp. 200
Resultsp. 201
Discussionp. 204
Abbreviationsp. 206
Socioeconomic systems as complex self-organizing adaptive holarchies: The dynamic exergy budgetp. 209
Introductionp. 210
Efficiency and adaptability (hypercyclic and purely dissipative compartment)p. 212
The dynamic exergy budgetp. 214
The scale issue: Environmental loading and need for adaptabilityp. 218
Conclusionp. 219
Socioeconomic systems as nested dissipative adaptive systems (holarchies) and their dynamic energy budget: Validation of the approachp. 223
Setting up the data basep. 224
BEP as an indicator of development for socioeconomic systemsp. 226
Existence of an internal set of constraints on the evolutionary pattern of socio-economic systemsp. 228
Establishing links across levels to check the feasibility of future scenariosp. 229
The demographic transition as a shift between two metastable equilibrium points of the dynamic energy budgetp. 232
Psychology and corporations: A complex systems perspectivep. 239
Introductionp. 239
Organizations as currently organizedp. 240
Using organizations to study complex systemsp. 241
Leadership as an emergent phenomenonp. 243
Conclusion: The need for a sufficiently rich complex systems perspectivep. 245
Symmetry breaking and the origin of lifep. 249
Thermodynamics and dissipative systemsp. 249
Statistical mechanicsp. 252
Cellular automatap. 253
Complexity and functionality: A search for the where, the when, and the howp. 259
Complexity with an attitude--but which one?p. 259
Reductionismp. 260
In search for new lawsp. 263
Where and when and howp. 264
From where to whenp. 265
From where and when to howp. 266
Conclusion and outlookp. 267
Biological design principles that guide self-organization, emergence, and hierarchical assembly: From complexity to tensegrityp. 269
Introductionp. 270
Complexity in living systemsp. 271
Cellular tensegrityp. 271
Mechanochemical control of biochemistry and gene expressionp. 275
The architecture of lifep. 275
The evolution of formp. 277
Conclusion: Simplicity in complexityp. 278
Information transfer between solitary waves in the saturable Schrodinger equationp. 281
Introductionp. 282
Information transferp. 283
Computational powerp. 283
The NLS equation and its solutionsp. 284
Information transfer in collisions of NLS solitary wavesp. 285
Radiationp. 288
Physical realizationp. 290
Conclusionsp. 290
An integrated theory of nervous system functioning embracing nativism and constructivismp. 295
Introductionp. 295
Fundamentals of an integrated theoryp. 296
The case of languagep. 301
Diagrammatic representation of relationships discussedp. 302
Summaryp. 302
Toward the physics of "death"p. 305
Introductionp. 305
Deathp. 306
Levels of major complexityp. 307
Involution and levels of selectionp. 315
Ragnar Frisch at the edge of chaosp. 319
Will capitalism collapse or equilibrate?p. 319
A shared judgementp. 321
Conclusionsp. 324
Programming complex systemsp. 325
Introductionp. 325
The lambda calculusp. 327
The lambda-p calculusp. 329
The lambda-q calculusp. 334
Simulation to quantum computersp. 338
Conclusionp. 340
Towards the global: Complexity, topology and chaos in modelling, simulation and computationp. 343
Introductionp. 343
Hierarchical efficiencyp. 345
Topology induces complexityp. 346
Finite topologyp. 347
Economics and politicsp. 348
Complexity and chaosp. 350
Consequencesp. 350
An effect of scale in a non-additive genetic modelp. 357
Introductionp. 357
Methodsp. 358
Resultsp. 360
Discussionp. 361
Parallel computational complexity in statistical physicsp. 365
Introductionp. 365
Parallel complexity theoryp. 366
Example: Parallel algorithm and dynamic exponent for DLAp. 368
Summaryp. 370
Statistical models of mass extinctionp. 373
Introductionp. 373
The fossil datap. 374
Models of extinctionp. 377
Conclusionsp. 383
A dual processing theory of brain and mind: Where is the limited processing capacity coming from?p. 385
Introductionp. 386
Mapping in neural networksp. 386
Oscillations and synchrony in neural firingp. 387
Controlled and automatic processes in the brainp. 388
Is dynamical neural activity responsible for controlled processes?p. 390
Derived hypothesisp. 391
Conclusionsp. 392
Evolutionary strategies of optimization and the complexity of fitness landscapesp. 397
Introductionp. 397
Evolutionary strategiesp. 399
The density of statesp. 399
Examplesp. 403
Secondary RNA structuresp. 405
Conclusionsp. 408
Conformational switching as assembly instructions in self-assembling mechanical systemsp. 411
Introductionp. 412
Related workp. 412
A case studyp. 413
A formal modelp. 422
Summaryp. 431
Aggregation and the emergence of social behavior in rat pups modeled by simple rules of individual behaviorp. 433
Introductionp. 434
Basic strategyp. 435
Aggregation in autonomous individualsp. 441
The emergence of synchronized social behaviorp. 443
Mechanisms of aggregationp. 448
Conclusionsp. 450
The role of information in simulated evolutionp. 453
Introductionp. 453
The information hierarchyp. 455
The population levelp. 455
The individual levelp. 461
Discussionp. 470
Emergence of complex ecologies in ECHOp. 473
Motivation and contextp. 473
The statisticsp. 474
The ECHO modelp. 475
Individual ECHO runsp. 479
Conclusionp. 483
Spatial correlations in the contact process: A step toward better ecological modelsp. 487
Introductionp. 487
Introduction to the contact processp. 489
Simulation detailsp. 489
Measures of heterogeneityp. 489
Theoretical predictionsp. 492
Discussionp. 499
Many to one mappings as a basis for lifep. 503
Criteria for lifep. 503
The principle of many to one mappingp. 504
Many to one mappings in the origins of life and evolution of complex networksp. 504
Outlookp. 511
Generic mechanisms for hierarchiesp. 513
Introductionp. 513
What is 'discrete scale invariance'p. 514
Propertiesp. 515
Mechanisms leading to DSI and examplesp. 516
Emergence in earthquakesp. 519
Introductionp. 519
Role of water and phase transformationsp. 520
Consequences and predictionsp. 521
Chemical oscillation in symbolic chemical system and its behavioral patternp. 523
Introductionp. 523
Modelp. 524
Classification of behavioral pattern of ARMSp. 532
Condition of cycles emergencep. 536
Related workp. 537
Extinction dynamics in a large ecological system with random interspecies interactionsp. 541
Introductionp. 542
Modelp. 543
Resultsp. 545
Estimation of induction timep. 550
Discussionp. 553
Functional differentiation in developmental systemsp. 557
Association and dissociation of system elementsp. 557
Compatibility modelp. 558
What parameters describe functions?--Life on the flowp. 562
Development of a system is a specialization of its elementsp. 564
Tuning complexity on randomly occupied latticesp. 569
Introductionp. 569
Diversity and complexityp. 570
Tuning effect and critical probabilitiesp. 571
Scaling relationsp. 573
Conclusionp. 576
Socioeconomic organization on directional resource landscapesp. 579
Introduction and motivationp. 580
Background and methodologyp. 580
Spatially distributed agent modelp. 582
Results and discussionp. 589
"Continuous time" in Feigenbaum's modelp. 597
Introductionp. 597
Expressions with continuous parameterp. 598
The functions IF[subscript lambda] for [lambda] = 2, 4p. 600
An application to fractals: Mandelbrot setp. 601
Conclusion and possible applicationsp. 601
Ordering chaos in a neural network with linear feedbackp. 603
Introductionp. 604
System and analysisp. 604
Summary and conclusionsp. 608
Self-organisation and information-carrying capacity of collectively autocatalytic sets of polymers: Ligation systemsp. 613
Introductionp. 614
Dynamics of autocatalysisp. 614
Ligation/cleavage systemsp. 616
Conclusionp. 621
Self-dissimilarity: An empirically observable complexity measurep. 625
Introductionp. 626
Self-dissimilarityp. 628
Probabilistic measures of self-dissimilarityp. 632
Discussionp. 639
Complexity and order in chemical and biological systemsp. 645
Introductionp. 645
Orderp. 646
Structural complexity of point systemsp. 648
The simple moleculesp. 648
Wing patterns of the butterfly Bicyclus anynanap. 651
Table of Contents provided by Ingram. All Rights Reserved.

ISBN: 9780813341224
ISBN-10: 0813341221
Series: New England Complex Systems Institute Series on Complexity : Book 1
Audience: Tertiary; University or College
Format: Paperback
Language: English
Number Of Pages: 696
Published: 31st July 2003
Country of Publication: US
Dimensions (cm): 21.59 x 14.61  x 3.18
Weight (kg): 1.01
Edition Number: 1