Title :
Commander behavior and course of action selection in JWARS
Author :
Vakas, Deborah ; Prince, John ; Blacksten, H. Ric ; Burdick, Chuck
Author_Institution :
CACI Inc. - Fed., Arlington, VA, USA
Abstract :
JWARS (Joint WARfare System) is being equipped with a Commander Model (CM) to perform situation assessment and course-of-action (COA) selection, and a Commander Behavior Model (CBM) to bias decisions with a commander´s leadership style. The CM is a hybrid artificial intelligence system that models doctrine through the use of fuzzy rule sets, together with a tree-based look-ahead algorithm for the strategy. The CBM employs behavior-based fuzzy rule sets to augment the CM in assessing the situation and in biasing the COA selection criteria. Extending from Myers-Briggs personality traits, the CBM links personality traits to military attitudes, consequences and values. Employing the fuzzy rule sets, the resulting sets of values are combined to select a specific COA with an auditable trail. The users have the ability to modify both the input parameters and the underlying rules. The CM/CBM is applicable to decisions at multiple echelons
Keywords :
behavioural sciences computing; command and control systems; decision support systems; digital simulation; expert systems; fuzzy logic; psychology; Commander Behavior Model; Commander Model; JWARS; Joint Warfare System; Myers-Briggs personality traits; auditable trail; commander leadership style; course-of-action selection; decision biasing; doctrine modelling; fuzzy rule sets; hybrid artificial intelligence system; input parameters; military attitudes; military consequences; military values; multi-echelon decisions; selection criteria; situation assessment; tree-based look-ahead algorithm; Cognitive science; Decision making; Engines; Fuzzy sets; Fuzzy systems; Hybrid intelligent systems; Prototypes; Psychology; Statistical distributions; System testing;
Conference_Titel :
Simulation Conference, 2001. Proceedings of the Winter
Conference_Location :
Arlington, VA
Print_ISBN :
0-7803-7307-3
DOI :
10.1109/WSC.2001.977357