AN EVENT-DRIVEN INTEGRATION REASONING SCHEME FOR HANDLING DYNAMIC THREATS IN AN UNSTRUCTURED ENVIRONMENT

This paper presents an attempt to devise and develop a domain-independ ent reasoning system (DIRS) scheme for handling dynamic threats, and u ses the scheme for automated route planning of military vehicles in an unstructured environment. Automated route planning is a very importan t branch in applications of artificial intelligence. In a dynamic unst ructured environment, instead of simply using static cost from a mobil ity model, a dynamic cost surface is constructed in which the total co st is a linear combination of the static cost and the dynamic cost. Th e principal contributions of this paper are as follows: (i) A reasonin g model called ''DIRS'' is proposed to quantitatively embed dynamic in formation, coordinate use of static and dynamic information, and handl e real time events that happen outside the system. (ii) A temporal rel ation is applied in the route planning process for handling dynamic th reats. (iii) Dempster-Shafer evidential theory is used to evaluate pro pagation 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. (C) 1997 Elsevier Science B.V.