Commerce, Complexity, and Evolution is a significant contribution to the new paradigm straddling economics, finance, marketing, and management, which acknowledges that commercial systems are evolutionary systems, and must therefore be analyzed using evolutionary tools. Evolutionary systems display complicated behaviors that are to a significant degree generated endogenously, rather than being solely the product of exogenous shocks, hence the conjunction of complexity with evolution. The papers in this volume consider a wide range of systems, from the entire economy at one extreme to the behavior of single markets at the other.

Evolutionary approach to systems from the entire economy to the behaviour of single markets.

Part I. The Philosophical and Methodological Implications of Complexity and Evolution in Economic Systems: 1. Towards a generalized coase theorem: a theory of the emergence of social and institutional structures under imperfect information Bertin Martens; 2. Universal Darwinism and social research: the case of economics John Nightingale; 3. Uncertainty, risk and chaos James Juniper; 4. The role of innovation within economics Russell K. Standish; Part II. Finance and the Macro-economy: 5. The nonlinear economics of debt deflation Steve Keen; 6. The emergence of complex dynamics in a 'naturally' nonlinear integrated Keynesian model of monetary growth Carl Chiarella and Peter Flaschel; 7. Stochastic volatility in interest rates and complex dynamics in velocity William A. Barnett and Haiyang Xu; 8. A genetic programming-based approach to generation of foreign exchange trading models Andrew Colin; 9. Hybrid option pricing using an optimal weighted implied standard deviation Paul Lajbcygier, Andrew Flitman and Mairmuthu Palaniswami; Part III. Market and Sectoral Dynamics: 10. Evolutionary patterns of multisectoral growth dynamics Hermann Schnabl; 11. The detection of evolutionary change in nonlinear economic processes: a new statistical methodology John Foster and Phillip Wild; 12. Ergodic chaos in a piecewise linear cobweb model Akio Matsumato; 13. The cobweb model and a modified genetic algorithm Janice Gaffney, Krystyna Parrott and Franz Salzborn; 14. On the convergence of genetic learning algorithms, with particular reference to recent cobweb models C. E. M. Pearce; Part IV. Marketing and Interdependent Behaviour: 15. A complex systems simulation approach to evaluating plan-based and reactive trading strategies Robert B. Johnson and John M. Betts; 16. Genetic algorithms and evolutionary games Xin Yao and Paul Darwen; 17. Evolved perception and the validation of simulation models Robert Marks; 18. The application of cellular automata and agent models to network externalities in consumers' theory: a generalization of life game Sobei H. Oda, Ken Miura, Kanji Ueda and Yasunori Baba; 19. Engendering change Joshua S. Gans.