Intelligent farmer agent for multi-agent ecological simulations optimization
Authors: 
Filipe Cruz, António Pereira, Pedro Valente, Pedro Duarte, 
Luís Paulo ReisAuthors Info & Claims
Filipe Cruz, António Pereira, Pedro Valente, Pedro Duarte, Luís Paulo ReisAuthors Info & ClaimsPages 593 - 604
Abstract
This paper presents the development of a bivalve farmer agent interacting with a realistic ecological simulation system. The purpose of the farmer agent is to determine the best combinations of bivalve seeding areas in a large region, maximizing the production without exceeding the total allowed seeding area. A system based on simulated annealing, tabu search, genetic algorithms and reinforcement learning, was developed to minimize the number of iterations required to unravel a semi-optimum solution by using customizable tactics. The farmer agent is part of a multi-agent system where several agents, representing human interaction with the coastal ecosystems, communicate with a realistic simulator developed especially for aquatic ecological simulations. The experiments performed revealed promising results in the field of optimization techniques and multi-agent systems applied to ecological simulations. The results obtained open many other possible uses of the simulation architecture with applications in industrial and ecological management problems, towards sustainable development.
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- ACM: Association for Computing Machinery
- AAAI: American Association for Artificial Intelligence
- ECCAI: European Coordinating Committee on Artifical Intelligence
- IEEE-SMC: Institute of Electrical and Electronics Engineers, Inc.
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Springer-Verlag
Berlin, Heidelberg
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Published: 03 December 2007
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