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- W2340836481 abstract "The dynamic nature of agents distribution motivates the investigation on the standardization of dynamic collaborative multi-agent systems (MAS). Among many different models available to implement a MAS, one of the most commonly used by developers community is FIPA. We’ve got many frameworks that adheres FIPA specification, JADE for instance. A MAS has the interesting property to allow the sub-problems related to a constraint satisfaction problem to be subcontracted to different problem solving agents with their own interests and goals. In some situations, it is necessary to simulate a crowd of agents using MAS. However, crowd agents simulation with real time performance are difficult to be achieved without a huge parallel architecture. On the other hand, in the recent years, parallel architectures are becoming massively available. One example of this kind of architecture is CUDA, a GPU architecture that allows to parallelize general algorithms and run them at a GPU level. In this work, we investigate and propose how to map MAS implementation from JADE framework to CUDA. We also develop and implement a novel process, in which we could verify a crowd simulation that was not possible to be executed using JADE framework. The obtained results in our simulations were very promising, but we still looking foward for new case tests to specify the best situations in which using a GPU archtecture is the best way to implement a MAS." @default.
- W2340836481 created "2016-06-24" @default.
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- W2340836481 date "2010-01-01" @default.
- W2340836481 modified "2023-09-27" @default.
- W2340836481 title "Mapping Multi- Agent Systems Based on FIPA Specification to" @default.
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