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

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Francesco Ranzato,Marco Zanella agents can, for example, be modelled and the results from the simulated markets compared with the stylised facts. Artificial market models are neither ad hoc nor theory free, but thys allow us to analyse situations which are too general to permit analytic solutions.

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Evolutionary Switching between Forecasting Heuristics: An Explanation of an Asset-Pricing Experimentnforcement learning over a set of simple forecasting heuristics. The key element of our model is the switching between heuristics on the basis of their past performance. Simulations show that such evolutionary learning can reproduce the qualitative patterns observed in the experiment.

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Why do we need Ontology for Agent-Based Models?ect of interest are discussed in the case of spatial economists and geographers. Finally, using the case of Shelling’s model, we discuss the concept of “ontological test,” and raise the question of the ontological compatibility between the “model world” and the “real world.”

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Artificial Markets: Rationality and Organisation agents can, for example, be modelled and the results from the simulated markets compared with the stylised facts. Artificial market models are neither ad hoc nor theory free, but thys allow us to analyse situations which are too general to permit analytic solutions.

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Book 2008aking, and information economics. In addition, the applicability of agent-based methods to complex problems in economics is discussed from a methodological perspective. The papers presented in this collection combine approaches from economics, finance, computer science, natural sciences, philosophy, and cognitive sciences..

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Marcus V?lker,Stefan Kowalewskilutionary 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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