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Parallel distributed processing models for economic systems and games

โœ Scribed by Kislaya Prasad


Publisher
Springer US
Year
1988
Tongue
English
Weight
795 KB
Volume
1
Category
Article
ISSN
1572-9974

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โœฆ Synopsis


This paper develops the idea that neural networks and other parallel models of computation provide a natural way in which to model the working of an economic system. Conversely, computational models implicit in descriptions of economic and social systems can provide us with very general methods and techniques which could be useful in other applications using neural networks. In general, both these research areas share a common concern with the problem of computation in parallel networks.


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In this paper, we present ParaPART, a parallel version of a mesh partitioning tool called PART for distributed systems. PART takes into consideration the heterogeneities in processor performance, network performance and application computational complexities to achieve a balanced estimate of executi