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Intro; New England Complex Systems Institute; New England Complex Systems Institute; Introduction; Organization; Conference Emeritus; General Chair; Program Chairs; Special Sessions Chairs; Sponsors Chair; Logistics Chairs; Program Committee; Contents; Epistemological Constraints When Evaluating Ontological Emergence with Computational Complex Adaptive Systems; 1 Introduction; 2 Complex Adaptive Systems; 3 Categories of Emergence; 3.1 Epistemological and Ontological Emergence; 3.2 Maier's Emergence Categories; 4 Epistemological Constraints of Computational Systems; 5 Discussion; References
Synergy and the Bioeconomics of ComplexityAbstract; 1 Introduction; 2 Defining Biological Complexity; 3 Measuring the Costs and Benefits; 4 The Synergism Hypothesis; 5 Synergistic Selection; 6 The Creative Role of Synergy; 7 Quantifying Synergy; 8 Testing for Synergy; 9 "Why Size Matters"; 10 A Classic Example; 11 Toward a Post-modern Evolutionary Synthesis; 12 An Inclusive Synthesis; References; Applications of Complex Systems in Socio-Economic Inequality Research: A Preliminary Survey; Abstract; 1 Introduction; 2 Interpretations and Definitions of Inequality in Society
3 The 'Hard' and 'Soft' Complexity of Social Systems4 Internal Systemic Hierarchies and Socio-Economic Inequality; 5 Complex Systems Models and Socio-Economic Inequality; 6 Conclusions; References; Descartes, Gödel and Kuhn: Epiphenomenalism Defines a Limit on Reductive Logic; Abstract; 1 René Descartes; 2 Reduction; 3 Descartes, Reduction, Paradox and Epiphenomenalism; 4 Kurt Gödel; 5 Gödel and Reductive Epiphenomenalism of Consciousness; 6 Thomas Kuhn: Epiphenomenalism Resolved and Decided; 7 Conclusion; Acknowledgments; References; Multi-scale Intent; Abstract; 1 Motivation
2 A Single Actor's Multi-scale Intent3 Emergence of Cooperation Between Two Actors; References; The Laws of Complexity and Self-organization: A Framework for Understanding Neoplasia; Abstract; 1 Introduction; 1.1 The War on Cancer; 1.2 Reductionism: The Current Approach to Biology; 1.3 Complexity: Variability that Is not Predictable; 2 The Laws of Complexity and Self-organization; 2.1 In Life, as in Other Complex Systems, the Whole Is Greater Than the Sum of the Parts; 2.2 There Is an Inherent Inability to Predict the Future of Complex Systems
2.3 Life Emerges from Non-life When the Diversity of a Closed System of Biomolecules Exceeds a Threshold of Complexity2.4 Much of the Order in Organisms Is Due to Generic Network Properties; 2.5 Numerous Biologic Pressures Push Cellular Pathways Towards Disorder; 2.6 Organisms Resist Common Pressures Towards Disorder Through Multiple Layers of Redundant Controls, Many Related to Cell Division
Synergy and the Bioeconomics of ComplexityAbstract; 1 Introduction; 2 Defining Biological Complexity; 3 Measuring the Costs and Benefits; 4 The Synergism Hypothesis; 5 Synergistic Selection; 6 The Creative Role of Synergy; 7 Quantifying Synergy; 8 Testing for Synergy; 9 "Why Size Matters"; 10 A Classic Example; 11 Toward a Post-modern Evolutionary Synthesis; 12 An Inclusive Synthesis; References; Applications of Complex Systems in Socio-Economic Inequality Research: A Preliminary Survey; Abstract; 1 Introduction; 2 Interpretations and Definitions of Inequality in Society
3 The 'Hard' and 'Soft' Complexity of Social Systems4 Internal Systemic Hierarchies and Socio-Economic Inequality; 5 Complex Systems Models and Socio-Economic Inequality; 6 Conclusions; References; Descartes, Gödel and Kuhn: Epiphenomenalism Defines a Limit on Reductive Logic; Abstract; 1 René Descartes; 2 Reduction; 3 Descartes, Reduction, Paradox and Epiphenomenalism; 4 Kurt Gödel; 5 Gödel and Reductive Epiphenomenalism of Consciousness; 6 Thomas Kuhn: Epiphenomenalism Resolved and Decided; 7 Conclusion; Acknowledgments; References; Multi-scale Intent; Abstract; 1 Motivation
2 A Single Actor's Multi-scale Intent3 Emergence of Cooperation Between Two Actors; References; The Laws of Complexity and Self-organization: A Framework for Understanding Neoplasia; Abstract; 1 Introduction; 1.1 The War on Cancer; 1.2 Reductionism: The Current Approach to Biology; 1.3 Complexity: Variability that Is not Predictable; 2 The Laws of Complexity and Self-organization; 2.1 In Life, as in Other Complex Systems, the Whole Is Greater Than the Sum of the Parts; 2.2 There Is an Inherent Inability to Predict the Future of Complex Systems
2.3 Life Emerges from Non-life When the Diversity of a Closed System of Biomolecules Exceeds a Threshold of Complexity2.4 Much of the Order in Organisms Is Due to Generic Network Properties; 2.5 Numerous Biologic Pressures Push Cellular Pathways Towards Disorder; 2.6 Organisms Resist Common Pressures Towards Disorder Through Multiple Layers of Redundant Controls, Many Related to Cell Division