An Introduction to the Microeconomics of Complexity uses game theory, modeling approaches, formal techniques, and computer simulations to teach useful, accessible approaches to real modern economies. It covers topics of information and innovation, including national and regional systems of innovation; clustered and networked firms; and open-source/open-innovation production and use. Its final chapter on policy perspectives and decisions confirms the value of the toolset.

Written so chapters can be used independently, the book includes simulation packages and pedagogical supplements. Its formal, accessible treatment of complexity goes beyond the scopes of neoclassical and mainstream economics. The highly interdependent economy of the 21st century demands a reconsideration of orthodox economic theories.

Wolfram Elsner is professor of economics with the Institute for Institutional and Innovation Economics at the University Bremen in Germany. Before working in academia, he spent ten years as a local development official and state-level planner. He has published widely in various journals, has edited several books, and authored three textbooks. He is the managing editor of the Forum for Social Economics and has served as the President of the European Association for Evolutional Political Economy.

Part I: Basics of the Interdependent Economy and Its Processes1. Introduction to the Microeconomics of Complex Economies2. Tools I: An Introduction to Game Theory3. Problem Structures and Processes in Complex Economies 4. Approaching Real-World Interdependence and Complexity: Empirical Phenomena in the Global Economy

Part II: Markets: General-Equilibrium Theory and Real-World Market Structures 5. The Ideal Neoclassical Market and General Equilibrium6. Critiques of the Neoclassical "Perfect Market? Economy and Alternative Price Theories7. Real-World Markets: Hierarchy, Size, Power, and Oligopoly, Direct Interdependence and Instability

Part III: Further Tools and the Analysis of Complex Economies 8. Tools II: More Formal Concepts of Game Theory and Evolutionary Game Theory9. Tools III: An Introduction to Simulation and Agent-Based Modeling10. A Universe of Economies: Interdependence and Complexity, System Trajectories, Chaos, and Self-Organization11. Dynamics, Complexity, Evolution, and Emergence-The Roles of Game Theory and Simulation Methods

Part IV: History of Thought and Contemporary Models in Complexity Economics12. Themes of Complexity in the History of Economic Thought: Glimpses at A. Smith, T.B. Veblen, J.A. Schumpeter, and Others 13. Recent Core Models of Complexity Microeconomics14. The Size Dimension of Complex Economies-Towards a Meso-Economics: The Size of Interaction Arenas and the Emergence of Meso-Platforms of Institutional Coordination

Part V: Further Applications: Information, Innovation, Policy, and Methodology15. The Information Economy and the Open-Source Principle16. Networks and Innovation-The Networked Firm, Innovation Systems, and Varieties of Capitalism 17. Policy Implications: New Policy Perspectives for Private Agents, Networks, Network Consultants, and Public Policy Agencies18. How to Deal with Knowledge of Complexity Microeconomics: Theories, Empirics, Applications, and Actions