Download Advances in Artificial Economics: The Economy as a Complex by Charlotte Bruun PDF

By Charlotte Bruun

This publication relies on displays at AE’2006 (Aalborg, Denmark) – the second one symposium on man made Economics. As a brand new confident simulation procedure, Agent-Based Computational Economics (ACE) has in recent times confirmed its energy and applicability. insurance during this quantity extends to renowned questions of economics, just like the life of marketplace potency, and to questions raised via new analytical instruments, for instance networks of social interaction.

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Read or Download Advances in Artificial Economics: The Economy as a Complex Dynamic System (Lecture Notes in Economics and Mathematical Systems) PDF

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Extra resources for Advances in Artificial Economics: The Economy as a Complex Dynamic System (Lecture Notes in Economics and Mathematical Systems)

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K agents must be parasitic on the intelligent agents to trade and to obtain profit. If all traders in the market are K agents no trade will take place. In our model, we consider one more decision: Which strategy should they choose to obtain higher profit? Each agent chooses a strategy from a set of three alternatives (GD, K and ZIP). To take this decision each trader only knows their own reservation prices and the information generated in the market, but he doesn’t know the bidding strategy of the other agents or the profit achieved by them.

For an expanded and more robust analysis, see LiCalzi and Pellizzari (2006). 2 The Model We use the same setup as in LiCalzi and Pellizzari (2005), where a simple exchange economy admits a unique efficient allocation. Given that the market protocols attain allocative efficiency, this implies convergence to the same allocation and facilitates comparisons. Following Smith (1982), we identify 2 Allocative Effectiveness and Intelligent Trading 19 three distinct components for our (simulated) exchange markets.

In Proceedings of the 3rd International Workshop on Computational Intelligence in Economics and Finance. [7] Li, L. and Smith, S. (2004) Speculation Agents for Dynamic, Multiperiod Continuous Double Auctions in B2B Exchanges. In Proceedings 37th Hawaii International Conference on System Sciences. , Hern´ andez, C. and Pajares, J. (2002) Towards a new experimental socio-economics. Complex behaviour in bargaining. Journal of Socio-Economics 31: 423-429. , Hern´ andez, C. and L´ opez, A. (2005) Learning in a Continuous Double Auction Market.

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