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Agents as a Decision Support Tool in Environmental Processes: The State of the Art

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Advanced Agent-Based Environmental Management Systems

Abstract

Agent-based systems have become an important area of research since the 1990s. They have been applied to a range of domains that are intrinsically complex. Among these, environmental problems are of special concern, given their ample affectation to our societies and everyday quality of life. This report provides a review of agent-based systems applied to environmental problems of diverse nature. The usefulness of Multi-Agent Systems (MASs) to model complex systems that embed multiple and dynamic interactions, such as in environmental processes, is revealed.

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References

  1. L. Adelman, Evaluating decision support and expert systems, Wiley-Interscience New York, NY, USA, 1992.

    Google Scholar 

  2. M. Albert, T. Laengle, H. Woern, M. Capobianco, and A. Brighenti, Multi-agent systems for industrial diagnostics, Proceedings of 5th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes. Washington DC, USA, June 9-11 3 (2003).

    Google Scholar 

  3. R. Annicchiarico, U. Cortés, and C. Urdiales, Agent Technology and e-Health, Whitestein Series in Software Agent Technologies and Autonomic Computing, Birkhäuser Verlag, 2008.

    Google Scholar 

  4. I.N. Athanasiadis, A review of agent-based systems applied in environmental informatics, In A. Zerger and R.M. Argent, editors, MODSIM 2005 Int’ll Congress on Modelling and Simulation, Modelling and Simulation Society of Australia and New Zealand, Melbourne, Australia, December 2005, pp. 1574–1580.

    Google Scholar 

  5. I.N. Athanasiadis, A.K. Mentes, P.A. Mitkas, and Y.A. Mylopoulos, A Hybrid Agent-Based Model for Estimating Residential Water Demand, SIMULATION 81 (2005), no. 3, 175.

    Article  Google Scholar 

  6. I.N. Athanasiadis and P.A. Mitkas, An agent-based intelligent environmental monitoring system, Management of Environmental Quality 15 (2004), no. 3, 238–249.

    Article  Google Scholar 

  7. I.N. Athanasiadis, A. Solsbach, J. Marx Gomez, and P. Mitkas, An Agent-based Middleware for Environmental Information Management, 2nd Conf. on Information Technologies in Environmental Engineering (ITEE’2005) (2005), 253–267.

    Google Scholar 

  8. A. Bah, I. Touré, C. Le Page, A. Ickowicz, and A.T. Diop, An agent-based model to understand the multiple uses of land and resources around drillings in Sahel, Mathematical and Computer Modelling 44 (2006), no. 5-6, 513–534.

    Article  MATH  Google Scholar 

  9. O. Barreteau and F. Bousquet, SHADOC: a, multi-agent model to tackle viability of irrigated systems, Annals of Operations Research 94 (2000), no. 1, 139–162.

    Article  MATH  Google Scholar 

  10. R. Barthel, S. Janisch, N. Schwarz, A. Trifkovic, D. Nickel, C. Schulz, and W. Mauser, An integrated modelling framework for simulating regional-scale actor responses to global change in the water domain, Environmental Modelling and Software (2008).

    Google Scholar 

  11. R. Barthel, V. Rojanschi, J. Wolf, and J. Braun, Large-scale water resources management within the framework of GLOWA-Danube. Part A: The groundwater model, Physics and Chemistry of the Earth 30 (2005), no. 6-7, 372–382.

    Google Scholar 

  12. O. Barthélémy, S. Moss, T. Downing, and J. Rouchier, Policy modelling with ABSS: The case of water demand management, CPM Report (2001).

    Google Scholar 

  13. N. Becu, P. Perez, A. Walker, O. Barreteau, and C.L. Page, Agent based simulation of a, small catchment water management in northern Thailand. Description of the CATCHSCAPE model, Ecological Modelling 170 (2003), no. 2-3, 319–331.

    Article  Google Scholar 

  14. R.J. Boland Jr, A.K. Maheshwari, D. Te’eni, D.G. Schwartz, and R.V. Tenkasi, Sharing perspectives in distributed decision making, Proceedings of the 1992 ACM conference on Computer-supported cooperative work, ACM New York, NY, USA, 1992, pp. 306–313.

    Google Scholar 

  15. E. Bonabeau, F. Henaux, S. Guerin, D. Snyers, P. Kuntz, and G. Theraulaz, Routing in Telecommunications Networks with Ant-Like Agents, Lecture Notes in Computer Science (1998), 60–71.

    Google Scholar 

  16. B. Brehmer, Distributed decision making: some notes on the literature, Distributed Decision Making: Cognitive Models for Cooperative Work, John Wiley & Sons, London (1991), 3–14.

    Google Scholar 

  17. M. Caridi and S. Cavalieri, Multi-agent systems in production planning and control: an overview, Production Planning and Control 15 (2004), no. 2, 106–118.

    Article  Google Scholar 

  18. L. Ceccaroni, What If a Wastewater Treatment Plant Were a Town of Agents, Proceedings of the workshop Autonomous Agents 2001-W03: Ontologies in Agent Systems, Montréal, Canadà (2001).

    Google Scholar 

  19. L. Ceccaroni, U. Cortés, and M. Sànchez-Marrè, WaWO-An ontology embedded into an environmental decision-support system for wastewater treatment plant management, Proceedings of ECAI2000-W09: Applications of ontologies and problem-solving methods (2000), 2–1.

    Google Scholar 

  20. A. Chávez and P. Maes, Kasbah: An agent marketplace for buying and selling goods, First International Conference on the Practical Application of Intelligent Agents and Multi-Agent Technology (PAAM96) (1996), 75–90.

    Google Scholar 

  21. S. Cranefield and M. Purvis, Integrating environmental information: incorporating metadata in a distributed information system’s architecture, Advances in Environmental Research 5 (2001), no. 4, 319–325.

    Article  Google Scholar 

  22. S. Dance, M. Gorman, L. Padgham, and M. Winikoff, An evolving multi agent system for meteorological alerts, Proceedings of the second international joint conference on Autonomous agents and multiagent systems, AAMAS-03 (2003), 966–967.

    Google Scholar 

  23. D. Davis and B. Sharp, Application of expert system, and agent technology to water mains rehabilitation decision making, New Review of Applied Expert Systems 5 (1999), 5–18.

    Google Scholar 

  24. D.N. Davis, Agent-based decision-support framework for water supply infrastructure rehabilitation and development, Computers, Environment and Urban Systems 24 (2000), no. 3, 173–190.

    Article  Google Scholar 

  25. B. Felluga, T. Gauthier, A. Genesh, P. Haastrup, C. Neophytou, S. Poslad, D. Preux, P. Plini, I. Santouridis, M. Stjernholm, et al., Environmental data, exchange for inland waters using independed software agents, Report 2054-9 EN, Institute for Environment and Sustainability, European Joint Research Centre, Ispra, Italy (2003).

    Google Scholar 

  26. S. Feuillette, F. Bousquet, and P. Le Goulven, SINUSE: a multi-agent model to negotiate water demand management on a free access water table, Environmental Modelling and Software 18 (2003), no. 5, 413–427.

    Article  Google Scholar 

  27. J. Fox and S. Das, Safe and, sound: artificial intelligence in hazardous applications, AAAI Press/The MIT Press. Cambridge, MA, USA, 2000.

    Google Scholar 

  28. L. Giannetti, F.P. Maturana, and F.M. Discenzo, Agent-based control of a municipal water system,, Lecture Notes in Computer Science (2005), 500–510.

    Google Scholar 

  29. F. Giunchiglia, J. Mylopoulos, and A. Perini, The Tropos Software Development Methodology: Processes, Models and Diagrams, In Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1, 15 (2002), no. 19, 35–36.

    Article  Google Scholar 

  30. I. Graham and P.L. Jones, Expert systems: knowledge, uncertainty and decision, Chapman and Hall. New York, 1988.

    Google Scholar 

  31. G. Guariso and H. Werthner, Environmental decision support systems, Ellis Horwood-Wiley, New York, 1989.

    Google Scholar 

  32. J.T. Houghton, Y. Ding, D.J. Griggs, M. Noguer, P.J. van der Linden, X. Dai, K. Maskell, and C.A. Johnson, Climate change 2001: the scientific basis. Intergovernmental Panel on Climate Change, Cambridge University Press: Cambridge. The Independent, Apr 14 (2001), 2006.

    Google Scholar 

  33. J. Huang, N.R. Jennings, and J. Fox, Agent-based approach to health care management, Applied Artificial Intelligence 9 (1995), no. 4, 401–420.

    Article  Google Scholar 

  34. N.R. Jennings, P. Faratin, M.J. Johnson, T.J. Norman, P. O’Brien, and M.E. Wiegand, Agent-Based Business Process Management, IJCIS 5 (1996), no. 2&3, 105–130.

    Google Scholar 

  35. N.R. Jennings, K. Sycara, and M. Wooldridge, A Roadmap of Agent Research and Development, Autonomous Agents and Multi-Agent Systems 1 (1998), no. 1, 7–38.

    Article  Google Scholar 

  36. E. Kalapanidas and N. Avouris, Air Quality Management Using a, Multi-Agent System, Computer-Aided Civil and Infrastructure Engineering 17 (2002), no. 2, 119–130.

    Article  Google Scholar 

  37. B. Köppen-Seliger, S.X. Ding, and P.M. Frank, European research projects on multi-agents-based fault diagnosis and intelligent fault tolerant control, Plenary Lecture IAR Annual Meeting, Strasbourg (2001).

    Google Scholar 

  38. Q.B. Le, S.J. Park, P.L.G. Vlek, and A.B. Cremers, Land-Use Dynamic Simulator (LUDAS): A multi-agent system model for simulating spatio-temporal dynamics of coupled human-landscape system. I. Structure and theoretical specification, Ecological Informatics 3 (2008), 135–153.

    Article  Google Scholar 

  39. M.Le Bars, J.M. Attonaty, S. Pinson, and N. Ferrand, An Agent-Based, Simulation Testing the Impact of Water Allocation on Farmers’ Collective Behaviors, SIMULATION 81 (2005), no. 3, 223.

    Article  Google Scholar 

  40. Z. Lei, B.C. Pijanowski, K.T. Alexandridis, and J. Olson, Distributed, Modeling Architecture of a Multi-Agent-Based Behavioral Economic Landscape (MABEL) Model, SIMULATION 81 (2005), no. 7, 503.

    Article  Google Scholar 

  41. W. Loibl and T. Toetzer, Modeling growth and densification processes in suburban regions — simulation of landscape transition with spatial agents, Environmental Modelling and Software 18 (2003), no. 6, 553–563.

    Article  Google Scholar 

  42. A. López-Paredes, D. Saurí, and J.M. Galan, Urban Water Management with Artificial Societies of Agents: The FIRMABAR Simulator, SIMULATION 81 (2005), no. 3, 189.

    Article  Google Scholar 

  43. M. Luck, P. McBurney, O. Shehory, and S. Wilmott, Agent Technology Roadmap: A Roadmap for Agent Based Computing, AgentLink Community (2005).

    Google Scholar 

  44. B. Malheiro and E. Oliveira, Environmental decision support: A distributed, artificial intelligence approach, Proc. of the International Symposium and Workshop: Environment and Interaction (1996).

    Google Scholar 

  45. -B. Malheiro and E. Oliveira, Environmental decision support: a, multi-agent approach, International Conference on Autonomous Agents: Proceedings of the first international conference on Autonomous Agents 5 (1997), no. 08, 540–541.

    Article  Google Scholar 

  46. S.M. Manson and T. Evans, Agent-based modeling of deforestation in southern Yucatan, Mexico, and reforestation in the Midwest United States., Proc Natl Acad Sei USA 104 (2007), no. 52, 20678–83.

    Article  Google Scholar 

  47. R. Mathevet, F. Bousquet, C. Le Page, and M. Antona, Agent-based simulations of interactions between duck population, farming decisions and leasing of hunting rights in the Camargue (Southern France), Ecological Modelling 165 (2003), no. 2-3, 107–126.

    Article  Google Scholar 

  48. N. Matsatsinis, P. Moraiïtis, V. Psomatakis, and N. Spanoudakis, An Agent-based, System for Products Penetration Strategy Selection, Applied Artificial Intelligence 17 (2003), no. 10, 901–925.

    Article  Google Scholar 

  49. N.F. Matsatsinis, P.N. Moraiïtis, V.M. Psomatakis, and N.I. Spanoudakis, Towards an intelligent decision support system for differentiated agricultural products, Proc. of the 5th International Conference of the Decision Sciences Institute (1999).

    Google Scholar 

  50. R. Matthews, The People and Landscape Model (PALM): Towards full integration of human decision-making and biophysical simulation models, Ecological Modelling 194 (2006), no. 4, 329–343.

    Article  Google Scholar 

  51. R.B. Matthews and C. Pilbeam, Modelling the long-term, productivity and soil fertility of maize/millet cropping systems in the mid-hills of Nepal, Agriculture, Ecosystems and Environment 111 (2005), no. 1-4, 119–139.

    Article  Google Scholar 

  52. D. Micucci, Exploiting the Kaleidoscope architecture in an industrial environmental monitoring system with heterogeneous devices and a knowledge-based supervisor, Proceedings of the 14th International Conference on Software Engineering and Knowledge Engineering (2002), 685–688.

    Google Scholar 

  53. M. Monticino, M. Acevedo, B. Callicott, T. Cogdill, and C. Lindquist, Coupled human and natural systems: A multi-agent-based approach, Environmental Modelling and Software 22 (2007), no. 5, 656–663.

    Article  Google Scholar 

  54. S. Moss, T. Downing, and J. Rouchier, Demonstrating the Role of Stakeholder Participation: An Agent Based Social Simulation Model of Water Demand Policy and Response, CPM Report No. 00-76, Centre for Policy Modelling, The Business School, Manchester Metropolitan University, Manchester, UK (2000).

    Google Scholar 

  55. J.L. Nealon and A. Moreno, Agent-Based Applications in Health Care, Applications of Software Agent Technology in the Health Care Domain (A. Moreno and J.L. Nealon, eds.), Whitestein Series in Software Agent Technologies, Birkhäuser Verlag, 2003, pp. 3–18.

    Google Scholar 

  56. H. Neumann, G. Schuster, H. Stuckenschmidt, U. Visser, T. Vögele, and H. Wache, Intelligent brokering of environmental information with the BUSTER system, International Symposium Informatics for Environmental Protection 30 (2001), 505–512.

    Google Scholar 

  57. M. Nodine, J. Fowler, T. Ksiezyk, B. Perry, M. Taylor, and A. Unruh, Active Information Gathering in InfoSleuth, International Journal of Cooperative Information Systems 9 (2000), no. 1/2, 3–28.

    Article  Google Scholar 

  58. D. Nute, W.D. Potter, F. Maier, J. Wang, M. Twery, H.M. Rauscher, P. Knopp, S. Thomasma, M. Dass, H. Uchiyama, et al., NED-2: an agent-based decision support system for forest ecosystem management, Environmental Modelling and Software 19 (2004), no. 9, 831–843.

    Article  Google Scholar 

  59. H.S. Nwana, Software agents: An overview, Knowledge Engineering Review 11 (1996), no. 3, 205–244.

    Article  Google Scholar 

  60. M. Oprea and C. Nichita, Applying Agent Technology in Water Pollution Monitoring Systems, Proceedings of the Eight International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC’06). (2006), 233–238.

    Google Scholar 

  61. H.v.D. Parunak, Agents in overalls: Experiences and issues in the development and deployment of industrial agent-based systems, International Journal of Cooperative Information Systems 9 (2000), no. 3, 209–227.

    Article  Google Scholar 

  62. H.v.D. Parunak, A. Ward, M. Fleischer, and J. Sauter, A Marketplace of Design Agents for Distributed Concurrent Set-Based Design, Advances in Concurrent Engineering, CE 97 (1997).

    Google Scholar 

  63. A. Perini and A. Susi, Developing a decision support system for integrated production in agriculture, Environmental Modelling and Software 19 (2004), no. 9, 821–829.

    Article  Google Scholar 

  64. D. Perugini, M. Perugini, and M. Young, Water saving incentives: An agent-based simulation approach to urban water trading, In Simulation Conference: Simulation — Maximising Organisational Benefits (SimTecT 2008), Melbourne, Australia, May 12–15, 2008.

    Google Scholar 

  65. W.C. Pitt, P.W. Box, and F.F. Knowlton, An individual-based model of canid populations: modelling territoriality and social structure, Ecological Modelling 166 (2003), no. 1-2, 109–121.

    Article  Google Scholar 

  66. G. Pitts and J. Fowler, InfoSleuth: An emerging technology for sharing distributed environmental information, In Information Systems and the Environment, 159–172.

    Google Scholar 

  67. M. Poch, J. Comas, I. Rodriguez-Roda, M. Sànchez-Marrè, and U. Cortés, Designing and building real environmental decision support systems, Environmental Modelling and Software 19 (2004), no. 9, 857–873.

    Article  Google Scholar 

  68. M. Purvis, S. Cranefield, R. Ward, M. Nowostawski, D. Carter, and G. Bush, A multi-agent system for the integration of distributed environmental information, Environmental Modelling and Software 18 (2003), no. 6, 565–572.

    Article  Google Scholar 

  69. A.S. Rao and M.P. Georgeff, BDI Agents: From Theory to Practice, Proceedings of the First International Conference on Multi-Agent Systems (ICMAS-95) (1995), 312–319.

    Google Scholar 

  70. F. Recknagel, Simulation of aquatic food web and species interactions by adaptive agents embodied with evolutionary computation: a conceptual framework, Ecological Modelling 170 (2003), no. 2-3, 291–302.

    Article  Google Scholar 

  71. A.E. Rizzoli and W.J. Young, Delivering environmental decision support systems: software tools and techniques, Environmental Modelling and Software 12 (1997), no. 2-3, 237–249.

    Article  Google Scholar 

  72. S.J. Russell and P. Norvig, Artificial intelligence: A modern approach, 2nd ed., Pearson Education, Inc., 2003.

    Google Scholar 

  73. J.M. Saarloos, T.A. Arenzte, A.W.J. Borgers, and H.J.P. Timmermans, A multi-agent paradigm as structuring principle for planning support systems, Computers, Environment and Urban Systems 32 (2008), no. 1, 29–40.

    Google Scholar 

  74. M. Sànchez-Marrè, U. Cortés, J. Lafuente, I. Rodríguez-Roda, and M. Poch, DAI-DEPUR: an integrated and distributed architecture for wastewater treatment plants supervision, Artificial Intelligence in Engineering 10 (1996), no. 3, 275–285.

    Article  Google Scholar 

  75. M. Sànchez-Marrè, M. Martínez, I. Rodríguez-Roda, J. Alemany, and U. Cortés, Using GBR to improve intelligent supervision and management of waste-water treatment plants: the atl-EDAR system,, In Proceedings of 7th European Conference on Case-Based Reasoning (ECCBR’2004) (Industrial day), Madrid (2004), 79–91.

    Google Scholar 

  76. J.C. Seco, C. Pinto-Ferreira, and L. Correia, A Society of Agents in Environmental Monitoring, From Animals to Animats 5: Proceedings of the Fifth International Conference on Simulation of Adaptive Behavior (1998).

    Google Scholar 

  77. R.S. Sojda, Artificial Intelligence Based Decision Support for Trumpeter Swan Management, Ph.D. thesis, Colorado State University, 2002.

    Google Scholar 

  78. R.H. Sprague Jr. and E.D. Carlson, Building Effective Decision Support Systems, Prentice Hall Professional Technical Reference, 1982.

    Google Scholar 

  79. K.P. Sycara, Multiagent Systems, AI Magazine 19 (1998), no. 2, 79–92.

    Google Scholar 

  80. K. Takahashi, Y. Nishibe, I. Morihara, and F.I. Hattori, Intelligent pages: collecting shop and service information with software agents, Applied Artificial Intelligence 11 (1997), no. 6, 489–499.

    Article  Google Scholar 

  81. S. Thoyer, S. Morardet, P. Rio, L. Simon, R. Goodhue, and G. Rausser, A bargaining model to simulate negotiations between water users, Journal of Artificial Societies and Social Simulation 4 (2001), no. 2.

    Google Scholar 

  82. A. Tolk, An Agent-Based Decision Support System Architecture for the Military Domain, In:Phillips-Wren, G.E. and Jain, L.C., Eds., Agent-Mediated Environments in Intelligent Decision Support Systems (2005).

    Google Scholar 

  83. D. Urbani and M. Delhom, Water Management Policy Selection Using a Decision Support System Based on a Multi-agent System, Lecture Notes in Computer Science 3673 (2005), 466–469.

    Article  Google Scholar 

  84. P. Valkering, J. Rotmans, J. Krywkow, and A. van der Veen, Simulating Stakeholder Support in a Policy Process: An Application to River Management, SIMULATION 81 (2005), no. 10, 701.

    Article  Google Scholar 

  85. R. Weihmayer and H. Velthuijsen, Intelligent agents in telecommunications, Springer-Verlag, 1998.

    Google Scholar 

  86. M. Wooldridge, Introduction to Multiagent Systems, John Wiley & Sons, Inc. New York, NY, USA, 2001.

    Google Scholar 

  87. M. Wooldridge, N.R. Jennings, and D. Kinny, The Gaia Methodology for Agent-Oriented, Analysis and Design, Autonomous Agents and Multi-Agent Systems 3 (2000), no. 3, 285–312.

    Article  Google Scholar 

  88. F. Zambonelli, N.R. Jennings, and M. Wooldridge, Developing multiagent systems: The Gaia methodology, ACM Transactions on Software Engineering and Methodology (TOSEM) 12 (2003), no. 3, 317–370.

    Article  Google Scholar 

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Authors and Affiliations

  1. Laboratory of Chemical and Environmental Engineering Scientific and Technological Park, (University of Girona), Edifici Jaume CasademontPic de Peguera, 15, Girona, 17071, Catalonia

    Montse Aulinas

  2. Consorci per a la Defensa de la Conca del Riu Besòs, Avinguda Sant Julia, 241, Granollers, 08403, Catalonia

    Clàudia Turon

  3. Knowledge Engineering and Machine Learning Group (KEMLG) Software Department, Technical University of Catalonia, Jordi Girona 1-3, Barcelona, 08034, Catalonia

    Miquel Sànchez-Marrè

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  1. Montse Aulinas
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  2. Clàudia Turon
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  3. Miquel Sànchez-Marrè
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Editors and Affiliations

  1. Departamento Software, Universitat Polytècnica de Catalunya, Jordi Girona 1, 08034, Barcelona, Spain

    Ulises Cortés

  2. Laboratori d’Enginyeria Química i Ambiental (LEQUIA) Facultat de Ciències, Universitat de Girona, Campus de Montilivi, 17071, Girona, Spain

    Manel Poch

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Aulinas, M., Turon, C., Sànchez-Marrè, M. (2009). Agents as a Decision Support Tool in Environmental Processes: The State of the Art. In: Cortés, U., Poch, M. (eds) Advanced Agent-Based Environmental Management Systems. Whitestein Series in Software Agent Technologies and Autonomic Computing. Birkhäuser Basel. https://doi.org/10.1007/978-3-7643-8900-0_2

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