Intelligent Farmer Agent for Multi-Agent Ecological Simulations Optimization

• Autor(a) principal: Filipe Cruz
• Data de Publicação: 2007
• Outros Autores: António Pereira, Pedro Valente, Pedro Duarte, Luis Paulo Reis
• Tipo de documento: Livro
• Idioma: por
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10216/4553
• topic: Cibernética; Ciências Físicas; Ciência de computadores; Inteligência artificial; Agentes inteligentes

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.