Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence
Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence
Introduction to Multiagent Systems
Introduction to Multiagent Systems
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Innovations in multi-agent systems
Journal of Network and Computer Applications
Algorithm based on simulated annealing for land-use allocation
Computers & Geosciences
Toward an AgentSpeak(L) Theory of Commitment and Intentional Learning
MICAI '08 Proceedings of the 7th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
CTL AgentSpeak(L): A specification language for agent programs
Journal of Algorithms
Simulation of Urban Land Development and Land Use Change Employing GIS with Cellular Automata
ICCMS '10 Proceedings of the 2010 Second International Conference on Computer Modeling and Simulation - Volume 03
A GEP-based spatial decision support system for multisite land use allocation
Applied Soft Computing
An integrated model of GIS and fuzzy logic (FMOTS) for location decisions of taxicab stands
Expert Systems with Applications: An International Journal
Teamwork in Multi-Agent Systems: A Formal Approach
Teamwork in Multi-Agent Systems: A Formal Approach
Information Sciences: an International Journal
Allocation of urban land uses by Multi-Objective Particle Swarm Optimization algorithm
International Journal of Geographical Information Science
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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.