Foundations and applications of complexity economics
Intro -- Preface -- Contents -- Chapter 1: Logical and Philosophical Foundations of Complexity -- 1.1 Forms of Complexity -- 1.2 Foundations of Computational Complexity Economics -- 1.3 Epistemology and Computational Complexity -- 1.4 Foundations of Dynamic Complexity Economics -- 1.5 Dynamic Complexity and Knowledge -- 1.6 Knowledge and Ergodicity -- 1.7 Reflexivity and the Unification of Complexity Concepts -- 1.8 Further Observations -- Chapter 2: Foundations of Complex Behavioral Economics -- 2.1 Overview -- 2.2 Herbert Simon and Bounded Rationality -- 2.3 Imitation and the Instability of Markets -- 2.4 Hierarchical Complexity and the Question of Emergence -- 2.5 Bounded Rationality and Learning to Believe in Chaos -- 2.6 Behavioral Economics and Keynesian Uncertainty -- 2.7 Behavioral Economics and the Complexity of Institutional Evolution -- 2.8 The Discontinuity Debate in Evolutionary Theory -- 2.9 Institutions, Organizations, and the Locus of Economic Evolution -- 2.10 Emergence and Multi-Level Evolution -- 2.11 Old and New Institutional Economics from a Complex Evolutionary Perspective -- 2.12 Summing Up -- Chapter 3: The Complex Dynamics of Social Interactions -- 3.1 Introduction -- 3.2 Labor Returns in the Non-Observed Economy -- 3.3 Variables and Data Sources -- 3.4 Empirical Findings -- 3.5 Conclusions -- Chapter 4: Econophysics, Entropy, and Complexity -- 4.1 The Origins and Nature of Econophysics -- 4.2 The Role of the Pareto Distribution -- 4.3 The Role of Statistical Mechanics -- 4.4 Econochemistry and Econobiology -- 4.5 Econophysics and Entropy -- 4.6 Unity of the Core Entropy Concepts -- 4.7 Ontological Entropy and Econophysics as the Fundamental Limit to Growth -- 4.8 Ontological Entropy and the Energy View of Economic Value -- 4.9 Metaphorical Entropy and General Equilibrium Value.