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Economic application of nonlinear dynamics, microscopic agent-based modelling, and the use of artificial intelligence techniques as learning devices of boundedly rational actors are among the most exciting interdisciplinary ventures of economic theory over the past decade. This volume provides us with a most fascinating series of examples on "complexity in action" exemplifying the scope and explanatory power of these innovative approaches. TOC:Learning in Computational and Laboratory Experiments.- Games and Strategic Interactions.- Innovation, Networks and Learning Dynamics.- Statistical Physics Approaches.- Asset Price Dynamics.
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