Multi-Agent System for Stock Exchange Simulation - MASSES

A Vector Orthogonal Multiprocessor NEOMP and its Use in Neural Network Mapping

Sérgio C. AzevedoManoel TeixeiraAndrew D. CostaBruno BorsatoFábio A. SoaresCarlos J. P. Lucena

Competitions based on Multi-Agent Systems have encouraged the academic community to conduct several contributions to the area. The Multi-Agent System for Stock Exchange Simulation (MASSES) was conceived based on real world cases The Stock Exchange Market is the application domain represented by the simulator, where agents implement investment strategy decisions on behalf of human investors. Through MASSES simulations, it is possible to perform studies between different strategies and the results can be analyzed to verify how they behave in different situations. This paper aims to explain MASSES and show some experimental results obtained from the investment strategies used in the real world.

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