Titlebook: Complexity and Artificial Markets; Klaus Schredelseker,Florian Hauser Book 2008 Springer-Verlag Berlin Heidelberg 2008 Agent-based Modelli

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Computing the Evolution of Walrasian Behaviouronvergence to the Walrasian equilibrium with a low number of firms have been much celebrated. In this paper we show that without imitation or mutation, but with sensible behavioural rules, it is possible to design an artificial economy, where a low number of firms can attain the Walrasian allocation in finite time, and much more.

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Computational Evolutionlutionary models for optimization purpose. In the third section we consider bottom-up evolution, by discussing a recent model for the generation of simplified discrete models for large arrays of regulatory circuits – to the end of creating artificial life. The author takes the liberty to mention links to economical systems whenever possible.

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Book 2008ntributions presented in this book apply agent-based methods to derive results from complex models related to market mechanisms, evolution, decision making, and information economics. In addition, the applicability of agent-based methods to complex problems in economics is discussed from a methodolo

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0075-8442 al: .In recent years, agent-based simulation has become a widely accepted tool when dealing with complexity in economics and other social sciences. The contributions presented in this book apply agent-based methods to derive results from complex models related to market mechanisms, evolution, decisi

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