On the Dynamics of Finite Memory Distributed Systems

Jamsheed Shorish and Victor Dorofeenko

No 298, Computing in Economics and Finance 2004 from Society for Computational Economics

Abstract: We consider a kinetic equation approach to dynamical systems with finite memory, based upon a probabilistic approach given in Dorofeenko and Shorish (2004). This approach uses a master equation methodology to analytically model the dynamics of distributed systems with many heterogeneous agents, each agent possessing a fixed (zero-memory) strategy for pairwise interaction. The methodology allows one to consider spatially distributed populations of agents in a continuous space–continuous time model. We extend the techniques of this approach to models where agents may possess a finite memory of their encounters with other agents. This allows the analytical modeling of, for example, the 'tit-for-tat' strategy in a repeated Prinsoner’s Dilemma game, where agents remember their most recent encounter. We demonstrate that models of finite agent memory, where the outcome is determined by pairwise interactions between agents, lead to the emergence of collective (probabilistic) structures in both time and space. We also show that this extension requires a suitable redefinition of the 'characteristic time' of the system, in order to arrive at an analogue of the master equation in the fixed strategy environment.

Keywords: master equation; finite memory; distributed system (search for similar items in EconPapers)
JEL-codes: C61 C73 (search for similar items in EconPapers)
Date: 2004-08-11
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sce:scecf4:298

Access Statistics for this paper

More papers in Computing in Economics and Finance 2004 from Society for Computational Economics Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F. Baum ().