| Description |
1 online resource (694 pages) |
| Series |
New England Complex Systems Institute ; v. 1 |
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New England Complex Systems Institute
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| Contents |
Cover; Half Title; Title Page; Copyright Page; Contents; Introduction; Significant points"" in the study of complex systems; Organization and Program; I: Transcripts; 1 Can there be a science of complex systems?; 1 General systems theory?; 2 Some principles of complex system design; 2.1 Homeostasis; 2.2 Membranes; 2.3 Specialization; 2.4 Near-decomposability; 3 Organizations and markets; 3.1 The market bias of contemporary economic theory; 3.2 Motivations in organizations; 3.3 Adaptive production systems; 4 Conclusion; 2 Evolution; 1 Selection and production; 2 Variation |
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3 Psychology and corporations: A complex systems perspective4 Genome complexity (Session introduction: Emergence); 5 Emergent properties and behavior of the atmosphere; 6 Systems properties of metabolic networks; 7 A hypothesis about hierarchies; 8 Session introduction: Informatics; 9 Whole genome bioinformatics; 10 Session introduction: Computational methods; II: Papers; 11 Theories in (inter)action: A complex dynamic system for theory evaluation in Science Studies |
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12 Modeling fractal patterns with Genetic Algorithm solutions to a variant of the inverse problem for Iterated Function Systems (IFS)1 Introduction; 1.1 The IFS; 1.2 The GA; 2 Encoding the IFS on a GA; 2.1 Initializing the population; 2.2 IFS-GA genetic operators; 3 The GA search; 3.1 Definition of symbols; 3.2 Objective (fitness) function; 3.3 The GA's search in the parameter hypercube P = [-1.0, 1.0][sup(24)]; 4 Applications; 4.1 Critical phenomena; 4.2 Other applications; 5 Conclusions; 13 An artificial life model for investigating the evolution of modularity; 1 Introduction; 2 The model |
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3 Preliminary results4 Conclusions; 14 From inductive inference to the fundamental equation of measurement; 1 Introduction; 2 The evolution of a model during learning; 2.1 Algorithmic complexity; 2.2 Bayesian Inductive Inference; 2.3 Evolution of a model; 3 Shannon entropy; 3.1 Conditional entropy and mutual information; 3.2 Complexity and randomness of strings; 4 Conclusion; 15 Controlling chaos in systems of coupled maps with long-range interactions; 1 Introduction; 2 Model and results; 3 Discussion; 16 Assessing software organizations from a complex systems perspective; 1 Introduction |
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2 The software process and its evaluation2.1 Different evaluations of the process; 2.2 Some facts: Feedback and emergent patterns; 2.3 Design: Moving away from the technological paradigm; 3 A metaphor for the software process: Morphogenesis; 3.1 Emergence of software systems; 3.2 The human element as the substratum for the creation of processes; 4 Conclusion; 17 Hazards, self-organization, and risk compensation: A view of life at the edge; 1 Introduction; 2 Self-organized criticality; 2.1 Sandpiles; 2.2 Other self-organized systems; 3 Risk compensation; 3.1 Risk compensation theories |
| Notes |
3.2 Risk compensation, adaptation and power laws |
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Print version record |
| Subject |
Computational complexity.
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System theory.
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Systems Theory
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Computational complexity
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System theory
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| Form |
Electronic book
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| ISBN |
9780429971891 |
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0429971893 |
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