Y. Xia et al., AN EVENT-DRIVEN INTEGRATION REASONING SCHEME FOR HANDLING DYNAMIC THREATS IN AN UNSTRUCTURED ENVIRONMENT, Artificial intelligence, 95(1), 1997, pp. 169-186
Citations number
12
Categorie Soggetti
Computer Sciences, Special Topics","Computer Science Artificial Intelligence
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.