Intelligent farmer agent for multi-agent ecological simulations optimization

• Type: Article in International Conference Proceedings Book
• Date: 2007

Authors

Filipe Cruz (Author) Other; António Pereira (Author) FEUP; Pedro Valente (Author) Other; Pedro Duarte (Author) Other; Luís Paulo Reis (Author) FEUP

Conference proceedings International

Title: PROGRESS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS

Pages: 593-604

13th Portuguese Conference on Artificial Intelligence

Guimaraes, PORTUGAL, DEC 03-07, 2007

Indexing

ISI Proceedings

ISI Web of Knowledge - 6 Citations

Scopus - 4 Citations

Scientific classification

FOS: Natural sciences > Computer and information sciences

CORDIS: Technological sciences > Technology > Computer technology > Software technology

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 12