Exploring Agent Architectures for Farmer Behavior in Land-Use Change. A Case Study in Coastal Area of the Vietnamese Mekong Delta

详细信息    查看全文

• 关键词：Agent ; based simulation ; Agent architecture ; BDI architecture ; Land ; use change ; Mekong Delta
• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：9568
• 期：1
• 页码：146-158
• 全文大小：4,250 KB
• 参考文献：1.Adam, C., Gaudou, B., Hickmott, S., Scerri, D.: Agents BDI et simulations sociales. unis pour le meilleur et pour le pire. In: RIA, pp. 11–43 (2011)
  2.Balke, T., Gilbert, N.: How do agents make decisions? a survey. J. Artif. Soc. Soc. Simul. 17(4), 3 (2014)
  3.Behzadi, S., Alesheikh, A.A.: Introducing a novel model of belief–desire–intention agent for urban land use planning. Eng. Appl. Artif. Intell. 26(9), 2028–2044 (2013)CrossRef
  4.Castella, J.C., Trung, T.N., Boissau, S.: Participatory simulation of land-use changes in the northern mountains of Vietnam: the combined use of an agent-based model, a role-playing game, and a geographic information system. Ecology Soc. 10(1), 27 (2005)
  5.Dolan, P., Hallsworth, M., Halpern, D., King, D., Metcalfe, R., Vlaev, I.: Influencing behaviour: the mindspace way. J. Econ. Psychol. 33(1), 264–277 (2003)CrossRef
  6.Grignard, A., Taillandier, P., Gaudou, B., Vo, D.A., Huynh, N.Q., Drogoul, A.: GAMA 1.6: advancing the art of complex agent-based modeling and simulation. In: Boella, G., Elkind, E., Savarimuthu, B.T.R., Dignum, F., Purvis, M.K. (eds.) PRIMA 2013. LNCS, vol. 8291, pp. 117–131. Springer, Heidelberg (2013)CrossRef
  7.Jepsen, M.R., Leisz, S., Rasmussen, K., Jakobsen, J., Muller-Jensen, L., Christiansen, L.: Agent-based modelling of shifting cultivation field patterns, Vietnam. Int. J. Geog. Inform. Sci. 20(9), 1067–1085 (2006)CrossRef
  8.Mialhe, F., Becu, N., Gunnell, Y.: An agent-based model for analyzing landuse dynamics in response to farmer behaviour and environmental change in the Pampanga Delta, Philippines. Agric. Ecosyst. Environ. 161, 55–69 (2012)CrossRef
  9.Minh, V.Q., Van, N.T.B.: Simulation of inland water inundation depth under changing of elevation using statistics and spatial interpolation techniques. J. Sci. Cantho Univ. 17a, 110–117 (2011)
  10.MONRE: Circular no. 19/2009/TT-BTNMT: Detailing the establishment, regulation and evaluation planning, land-use planning, Ministry of Natural Resources and Environment of Vietnam (2009)
  11.Moreno, N., Wang, F., Marceau, D.J.: Implementation of a dynamic neighborhood in a land-use vector-based cellular automata model. Comput. Environ. Urban Syst. 33(1), 44–54 (2009)CrossRef
  12.Nhan, D.K., Trung, N.H., Sanh, N.V.: The impact of weather variability on rice and aquaculture production in the mekong delta. In: Stewart, M.A., Coclanis, P.A. (eds.) Environmental Change and Agricultural Sustainability in the Mekong Delta. AGCR, vol. 45, pp. 437–451. Springer, Netherlands (2011)
  13.Nilsson, N.J.: A production system for automatic deduction. Technical report, Stanford University (2015)
  14.Parker, D.C., Manson, S.M., Janssen, M.A., Hoffman, M.J., Deadman, P.: Multi-agent systems for the simulation of land-use and land- cover change: a review. Ann. Assoc. Am. Geogr. 93(2), 316–340 (2003)CrossRef
  15.PCBT: Report of land-use zoning in 2020 and the land-use plan for 5 early years 2011–2015 of Ben Tre province, People’s Committee of Ben Tre province (2011)
  16.Rao, A., Georgeff, M.: Modeling rational agents within a BDI-architecture. In: Proceedings of the 2nd International Conference on Principles of Knowledge Representation and Reasoning, pp. 473–484 (1991)
  17.Taillandier, P., Therond, O.: Use of the belief theory to formalize agent decision making processes: application to cropping plan decision making. In: European Simulation and Modelling Conference, pp. 138–142 (2011)
  18.Taillandier, P., Therond, O., Gaudou, B.: A new BDI agent architecture based on the belief theory. application to the modelling of cropping plan decision-making. In: International Environmental Modelling and Software Society (iEMSs) (2012)
  19.Tri, L.Q., Guong, V.T., Vu, P.T., Binh, N.T.S., Kiet, N.H., Chien, V.V.: Evaluating the changes of soil properties and landuse at three coastal districts in Soc Trang province. J. Sci. Cantho Univ. 9, 59–68 (2008)
  20.Tri, V.P.D., Trung, N.H., Thanh, V.Q.: Vulnerability to flood in the Vietnamese Mekong Delta: mapping and uncertainty assessment. J. Environ. Sci. Eng. B 2, 229–237 (2013)
  21.Visser, H., de Nijs, T.: The map comparison kit. Environ. Model. Softw. 21(3), 346–358 (2006)CrossRef
  22.VNA: Article 24, Land on Law 2003, Vietnamese National Assembly (2003)
  23.Wassmann, R., Hien, N.X., Hoanh, C.T., Tuong, T.P.: Sea level rise affecting the Vietnamese Mekong Delta: water elevation in the flood season and implications for rice production. Climatic Change 66(1–2), 89–107 (2004)CrossRef
  24.Yang, X., Zheng, X.Q., Chen, R.: A land use change model: integrating landscape pattern indexes and Markov-CA. Ecol. Model. 283, 1–7 (2014)CrossRef
  
• 作者单位：Quang Chi Truong (15) (16)
  Patrick Taillandier (17)
  Benoit Gaudou (18)
  Minh Quang Vo (15)
  Trung Hieu Nguyen (15)
  Alexis Drogoul (19)
  
  15. CTU/IRD JEAI DREAM, CENRES Can Tho University, Can Tho, Vietnam
  16. PDI-MSC, IRD/UPMC/Sorbonne Universities, Paris, France
  17. UMR IDEES, University of Rouen, Rouen, France
  18. IRIT, University of Toulouse 1 Capitole, Toulouse, France
  19. UMI 209 UMMISCO, IRD/UPMC/Sorbonne Universites, Paris, France
  
• 丛书名：Multi-Agent Based Simulation XVI
• ISBN：978-3-319-31447-1
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349

文摘

Farmers are the key actors of land-use change processes. It is thus essential to choose a suitable architecture for farmer behavior to model such processes. In this paper, we compared three models with different architectures to model the farmer behavior in the coastal areas of the Ben Tre province: (i) The first one is a probabilistic model that allows farmer to select the land-use pattern based on land change probability; (ii) The second model is based on multi-criteria decision making and takes into account the land suitability of the parcel and the farmer benefit; (iii) The third model used a BDI (Beliefs - Desires - Intentions) architecture. For each of these models, we have compared the difference between simulated data and real data by using the Fuzzy Kappa coefficient. The results show the suitability of the BDI architecture to build land-use change model and to support decision-making on land-use planning.