Designing a Multi-Agent system to simulate scenarios for decision-making in river basin systems

  • Authors:

  • Thania Rendón-Sallard;Miquel Sànchez-Marrè;Montserrat Aulinas;Joaquim Comas

  • Affiliations:

  • Knowledge Engineering and Machine Learning Group, Universitat Politècnica de Catalunya, c/Jordi Girona 1-3, E08034, Barcelona, Spain, {trendon,miquel}@lsi.upc.edu;Knowledge Engineering and Machine Learning Group, Universitat Politècnica de Catalunya, c/Jordi Girona 1-3, E08034, Barcelona, Spain, {trendon,miquel}@lsi.upc.edu;Laboratori d'Enginyeria Química i Ambiental (LEQUIA), Universitat de Girona, Campus de Montilivi s/n, Girona, Catalonia 17071 Spain, montseaulinas@gmail.com, quim@lequia.udg.es;Laboratori d'Enginyeria Química i Ambiental (LEQUIA), Universitat de Girona, Campus de Montilivi s/n, Girona, Catalonia 17071 Spain, montseaulinas@gmail.com, quim@lequia.udg.es

  • Venue:
  • Proceedings of the 2006 conference on Artificial Intelligence Research and Development
  • Year:
  • 2006

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Abstract

Environmental problems tend to be very intricate, thus traditional software approaches cannot cope with this complexity when developing an environmental system. Multi-Agent systems (MAS) have the ability to deal with complex problems, thus we propose the development of a MAS for supporting the decision-making in a river basin system. With this proposal, we intend to provide feasible solutions at catchment scale throughout modelling and simulation of different scenarios in a river basin system.