Intelligent farmer agent for multi-agent ecological simulations optimization

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2007

Autores

Filipe Cruz (Autor) Outra; António Pereira (Autor) FEUP; Pedro Valente (Autor) Outra; Pedro Duarte (Autor) Outra; Luís Paulo Reis (Autor) FEUP

Ata de Conferência Internacional

Título: PROGRESS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS

Páginas: 593-604

13th Portuguese Conference on Artificial Intelligence

Guimaraes, PORTUGAL, DEC 03-07, 2007

Indexação

ISI Proceedings

ISI Web of Knowledge - 6 Citações

Scopus - 4 Citações

Classificação Científica

FOS: Ciências exactas e naturais > Ciências da computação e da informação

CORDIS: Ciências Tecnológicas > Tecnologia > Tecnologia de computadores > Tecnologia de software

Outras Informações

ID Authenticus: P-004-EFT

DOI: 10.1007/978-3-540-77002-2_50

Abstract (EN): 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 12