Hunter, Andrew (1993) An artificial trading system. Working Paper. University of Sunderland. (Unpublished)
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Abstract
The classical approach to the modelling of complex dynamics systems is to use mathematical techniques such as differential equations to approximate observed global behaviours. For some systems, this approach is inadequate. An artificial trading system is specified using simple rules to conduct trade between entities which are represented using adaptive computational paradgims. Evolution is used to develop the entities, which complete to gain wealth. The global dynamics produced by the interaction of the individual strategies can be studied, to gain an insight into the behaviour of real trading systems, and of complex dynamic systems in general. The system provides a test-bed for experimentation on adaptive computational paradigms.
| Item Type: | Monograph (Working Paper) |
|---|---|
| Additional Information: | The classical approach to the modelling of complex dynamics systems is to use mathematical techniques such as differential equations to approximate observed global behaviours. For some systems, this approach is inadequate. An artificial trading system is specified using simple rules to conduct trade between entities which are represented using adaptive computational paradgims. Evolution is used to develop the entities, which complete to gain wealth. The global dynamics produced by the interaction of the individual strategies can be studied, to gain an insight into the behaviour of real trading systems, and of complex dynamic systems in general. The system provides a test-bed for experimentation on adaptive computational paradigms. |
| Keywords: | artificial trading system, computational paradigms, dynamics systems, global dynamics |
| Subjects: | G Mathematical and Computer Sciences > G400 Computer Science |
| Divisions: | College of Sciences > Faculty of Science > Lincoln School of Computer Science |
| Depositing User: | Rosaline Smith |
| Date Deposited: | 03 Aug 2010 15:56 |
| Last Modified: | 13 Mar 2013 08:41 |
| URI: | http://eprints.lincoln.ac.uk/id/eprint/2842 |
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