Intro -- Contents -- 1. Introduction: Reasons for Writing this Book, a Decision Theory Approach -- 1.1. Introduction -- 1.1.1. Development in a limited environment -- 1.1.1.1. Social limits -- 1.1.1.2. Technological limits -- 1.1.1.3. Environmental limits -- 1.1.2. The perception of changes in complex systems -- 1.1.2.1. Perception of a complex process -- 1.1.2.2. From simple to aggregate -- 1.1.2.3. Rich and poor trigger second-order effects in labour or population migration -- 1.1.2.4. Implementation of new technologies -- 1.1.3. Decisions for development -- 1.1.3.1. Models for development - linear versus non-linear -- 1.1.3.2. Avoid or cross the limits - system resilience -- 1.1.3.3. Sustainability - accepting the limits -- 1.1.3.4. Indicators of sustainability -- 1.2. Why the Structure of This Book - a Decision Theory Approach -- References -- 2. Nonlinear Models for the Labour Market -- 2.1. Introduction -- 2.2. Nonlinear Models and Examples for the Labour Market -- 2.2.1. Case examples -- 2.3. Conclusion -- References -- 3. Second Order Effects in Population Migration -- 3.1. Nonlinear Migration Behaviour -- 3.2. Cases of Reverse Migration -- 3.3. A (Not So) Simple Model -- 3.4. Results -- 3.5. Conclusion -- References -- 4. Cities: Reactors for Economic Transactions -- 4.1. Transaction Environment -- 4.2. Diffusion Equation -- 4.3. The Reflector (Albedo) -- 4.4. Decrease in Income -- 4.5. Dynamic Evolution Equation -- 4.6. Conclusion -- Annex 4.1 -- A.4.1. The Coefficient K -- A.4.1.1. Gross domestic savings -- A.4.1.2. The behaviour of s -- A.4.1.3. Distribution of persons on their income values -- References -- 5. Considerations on the Reform in the Power Sector (Avoiding Chaos in the Path to an Optimal Market Structure) -- 5.1. Introduction -- 5.1.1. General comments on (market-monopoly-market) cycles.

5.2. From Power Sector to Power Market -- 5.2.1. Costs of complexity -- 5.2.2. Time evolution of market entities -- 5.3. Non-linear Effects in Market Penetration -- 5.3.1. Quadratic phase diagrams in economics -- 5.3.2. Privatization of a monopoly -- 5.3.2.1. Numerical data - the Romanian case -- 5.4. Conclusion -- Appendix 5.1 -- References -- 6. A Model of Non-linear Dynamics in the Implementation of Decisions for the Evolution of Energy Technologies -- 6.1. Introduction -- 6.2. Description of the Model -- 6.2.1. Experimental grounds -- 6.2.2. The master equation of the process -- 6.2.3. Identification of the system variable and control parameters -- 6.2.4. Change of stationary solution with variations of the control parameters - the 'cusp' type catastrophe -- 6.3. Criteria for Energy Development Strategies -- 6.3.1. Choice of control parameters -- 6.3.2. Beyond resilience - decisions for safety -- 6.4. An Energy Planner's Perception of Risks and Benefits -- 6.4.1. Dynamic interdependence - development trajectories -- 6.5. Numerical Examples -- 6.6. Energy Policy and Technological Profile -- 6.7. Perception of Alternatives and Strategic Conduct -- References -- 7. Non-linear Effects in Knowledge Production -- 7.1. Implementation of New Technologies -- 7.2. Essentials of Chaotic Behaviour -- 7.3. Complex Cyclical Patterns -- 7.4. The Industrial Production and the Production of Technologies -- 7.5. Measuring Technological Information and Entropy -- 7.6. Conclusion -- References -- 8. Institutional Structures as Benard-Taylor Processes -- 8.1. Epistemic Sense and Ontological Sense -- 8.2. Social Reality and Collective Behaviour -- 8.3. Dynamics of Memes -- 8.4. Conclusion -- References -- 9. Oscillatory Processes in Economic Systems -- 9.1. Cycles in Dynamics of Economic Systems -- 9.2. Optimality Conditions and Associated Equations.

9.3. Production Potential and Quantization -- 9.3.1. Eigenvalues of Planet Earth's economy -- 9.4. Oscillatory Behaviour - Some Numerical Results -- 9.5. Conclusion -- Appendix 9.1. Second-order Systems -- References -- 10. Final Thoughts on a Different Way of Looking at Economic Processes -- General References -- Index.

Using models, developed in one branch of science, to describe similar behaviors encountered in a different one, is the essence of a synergetic approach. A wide range of topics has been developed including Agent-based models, econophysics, socio-economic networks, information, bounded rationality and learning in economics, markets as complex adaptive systems - evolutionary economics, multi scale analysis and modeling, nonlinear dynamics and econometrics, physics of risk, statistical and probabilistic methods in economics and finance. This publication concentrates on process behavior of economic systems and building models that stem from Haken's, Prigogine's, Taylor's work as well as from nuclear physics models.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2018. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.