Introducing a novel model of belief-desire-intention agent for urban land use planning

Land use planning is a potentially demanding search and optimization task that has been challenged by numerous researchers in the field of spatial planning. Agent and multi-agent systems are examples of the modern concepts, which have been gaining more attention in challenging spatial issues recently. Although the efficiency of belief, desire, and intention (BDI) architecture of agents is validated in varieties of sciences, its uses in Geospatial Information Systems (GIS) and specifically among spatial planners is still burgeoning. In this paper, we attempted to integrate the concepts of BDI agent architecture into spatial issues; as a result, a novel spatial agent model is designed and implemented to analyze the urban land use planning. The proposed approach was checked in urban land use planning problems using a case study in a municipal area. The result of implementation showed the effects of spatial agents' behaviors such as intention, commitment, and interaction on their decision.

[1]  A. Veldkamp,et al.  Introduction to the Special Issue on Spatial modeling to explore land use dynamics , 2005, Int. J. Geogr. Inf. Sci..

[2]  Michael E. Bratman,et al.  Intention, Plans, and Practical Reason , 1991 .

[3]  Khalid A. Eldrandaly,et al.  A GEP-based spatial decision support system for multisite land use allocation , 2010, Appl. Soft Comput..

[4]  Thillainathan Logenthiran,et al.  Multi-agent system for energy resource scheduling of integrated microgrids in a distributed system , 2011 .

[5]  Kurt Richardson,et al.  The hegemony of the physical sciences: an exploration in complexity thinking , 2005 .

[6]  Jianguo Wu,et al.  Simulating spatiotemporal dynamics of urbanization with multi-agent systems—A case study of the Phoenix metropolitan region, USA , 2011 .

[7]  A. Valk The Dutch Planning Experience , 2002 .

[8]  Anthony Gar-On Yeh,et al.  Neural-network-based cellular automata for simulating multiple land use changes using GIS , 2002, Int. J. Geogr. Inf. Sci..

[9]  G. Heuvelink,et al.  Using Linear Integer Programming for Multi-Site Land-Use Allocation , 2003 .

[10]  Fulong Wu,et al.  Calibration of stochastic cellular automata: the application to rural-urban land conversions , 2002, Int. J. Geogr. Inf. Sci..

[11]  Jonathan Raper,et al.  Spatial evolutionary modeling , 2001, Spatial information systems.

[12]  Peter Norvig,et al.  Artificial Intelligence: A Modern Approach , 1995 .

[13]  Gerhard Weiss,et al.  Multiagent systems: a modern approach to distributed artificial intelligence , 1999 .

[14]  Tsai-chu Wu,et al.  Simulation of Urban Land Development and Land Use Change Employing GIS with Cellular Automata , 2010, 2010 Second International Conference on Computer Modeling and Simulation.

[15]  Alejandro Guerra-Hernández,et al.  Toward an AgentSpeak(L) Theory of Commitment and Intentional Learning , 2008, MICAI.

[16]  Michael Wooldridge,et al.  Introduction to multiagent systems , 2001 .

[17]  Ozge Yalciner Ercoskun,et al.  An integrated model of GIS and fuzzy logic (FMOTS) for location decisions of taxicab stands , 2010, Expert Syst. Appl..

[18]  Willy Verheye,et al.  Land use planning for sustainable development , 2003 .

[19]  Yi Guo,et al.  Extending Unbounded Systems Thinking with agent-oriented modeling: conceptualizing a multiple perspective decision-making support system , 2005, Decis. Support Syst..

[20]  Gloria E. Phillips-Wren,et al.  Innovations in multi-agent systems , 2007, J. Netw. Comput. Appl..

[21]  Adrie J. M. Beulens,et al.  Validation of an agent-based model for spatial planning: A role-playing approach , 2010, Comput. Environ. Urban Syst..

[22]  Quang Bao Le,et al.  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 , 2008, Ecol. Informatics.

[23]  D. Dennett The Intentional Stance. , 1987 .

[24]  Arnold K. Bregt,et al.  Multi-actor-based land use modelling: spatial planning using agents , 2001 .

[25]  Wenzhong Shi,et al.  Development of Voronoi-based cellular automata -an integrated dynamic model for Geographical Information Systems , 2000, Int. J. Geogr. Inf. Sci..

[26]  Honghai Qi,et al.  A conceptual framework of agricultural land use planning with BMP for integrated watershed management. , 2011, Journal of environmental management.

[27]  Monica Wachowicz,et al.  A design and application of a multi-agent system for simulation of multi-actor spatial planning. , 2004, Journal of environmental management.

[28]  Manfred F. Buchroithner,et al.  A GIS-based back-propagation neural network model and its cross-application and validation for landslide susceptibility analyses , 2010, Comput. Environ. Urban Syst..

[29]  Barbara Dunin-Keplicz,et al.  Teamwork in Multi-Agent Systems - A Formal Approach , 2010, Wiley series in agent technology.

[30]  P. Waddell UrbanSim: Modeling Urban Development for Land Use, Transportation, and Environmental Planning , 2002 .

[31]  Chris Maser,et al.  Land-use planning for sustainable development , 2000 .

[32]  Mohammad Taleai,et al.  Evaluating the compatibility of multi-functional and intensive urban land uses , 2007, Int. J. Appl. Earth Obs. Geoinformation.

[33]  Helen Couclelis,et al.  Cellular Worlds: A Framework for Modeling Micro—Macro Dynamics , 1985 .

[34]  Suzana Dragicevic,et al.  Design and implementation of an integrated GIS-based cellular automata model to characterize forest fire behaviour , 2008 .

[35]  Majid Hamrah,et al.  Allocation of urban land uses by Multi-Objective Particle Swarm Optimization algorithm , 2013, Int. J. Geogr. Inf. Sci..

[36]  Alejandro Guerra-Hernández,et al.  CTL AgentSpeak(L): a specification language for agent programs , 2008, LA-NMR.

[37]  Michael Schumacher,et al.  Objective Coordination in Multi-Agent System Engineering , 2001, Lecture Notes in Computer Science.

[38]  Arnold K. Bregt,et al.  A method to define a typology for agent-based analysis in regional land-use research , 2008 .

[39]  Danny Weyns,et al.  Multi-Agent Systems , 2009 .

[40]  Helen Couclelis,et al.  Of Mice and Men: What Rodent Populations Can Teach Us about Complex Spatial Dynamics , 1988 .

[41]  Inés Santé-Riveira,et al.  Algorithm based on simulated annealing for land-use allocation , 2008, Comput. Geosci..

[42]  Charles M. Macal,et al.  Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation , 2007 .

[43]  Harry J. P. Timmermans,et al.  A multi-agent paradigm as structuring principle for planning support systems , 2008, Comput. Environ. Urban Syst..

[44]  Ali Asghar Alesheikh,et al.  Developing a Genetic Algorithm to Solve Shortest Path Problem on a Raster Data Model , 2008 .

[45]  Zhenjiang Shen,et al.  Integration of MAS and GIS Using Netlogo , 2012 .

[46]  Steven K. C. Lo A collaborative multi-agent message transmission mechanism in intelligent transportation system - A smart freeway example , 2012, Inf. Sci..

[47]  G. J. Carsjens,et al.  Strategic land use allocation : dealing with spatial relationships and fragmentation of agriculture , 2002 .