A framework to support qualitative reasoning about COAs in a dynamic spatial environment

作者：Haddad Hedi^*; Moulin Bernard

来源：Journal of Experimental & Theoretical Artificial Intelligence, 2010, 22(4): 341-380.

DOI：10.1080/09528131003713002

• modelling and analysis of dynamic phenomena in virtual geographic environments
• multi-agent geosimulation
• qualitative spatio-temporal reasoning
• course of action assessment

We propose a framework to reason qualitatively about courses of action (COAs) which need to be executed in a realistic geographic space that may change. Particularly, the framework aims to support human mental 'What-If' analysis by simulating the execution of COAs in a virtual geographic environment, which can change during the simulation, and by allowing the user to explore various scenarios (different COAs) and to analyse their outcomes using causal reasoning techniques. In this article, we first present a framework which is based on a conceptual model of spatio-temporal situations, a multi-agent geosimulation platform and qualitative spatio-temporal causal reasoning techniques. Then, we illustrate the framework using a case study.

• 出版日期2010