An Event Drive Integration Reasoning Scheme for Handling Dynamic Threats in an Unstructured Environment

This paper presents an attempt to devise and develop a domain-independent reasoning system (DIRS) scheme for handling dynamic threats, and uses the scheme for automated route planning of military vehicles in an unstructured environment. Automated route planning is a very important branch in applications of artificial intelligence. In a dynamic unstructured environment, instead of simply using static cost from a mobility model, a dynamic cost surface is constructed in which the total cost is a linear combination of the static cost and the dynamic cost. The principal contributions of this paper are as follows: (i) A reasoning model called " DIRS " is proposed to quantitatively embed dynamic information, coordinate use of static and dynamic information, and handle real time events that happen outside the system. (ii) A temporal relation is applied in the route planning process for handling dynamic threats. (iii) Dempster-Shafer evidential theory is used to evaluate propagation of a dynamic threat. (iv) A detailed experimental analysis on automated route planning of military vehicles was conducted to study the performance of the DIRS model. @ 1997 Elsevier Science B.V.