Distributed discrepancy detection for a goal reasoning agent in beyond-visual-range air combat

2018 ◽  
Vol 31 (2) ◽  
pp. 181-195 ◽  
Author(s):  
Justin Karneeb ◽  
Michael W. Floyd ◽  
Philip Moore ◽  
David W. Aha
Keyword(s):  
Air Combat ◽  
Discrepancy Detection ◽  
Visual Range ◽  
Reasoning Agent ◽  
Goal Reasoning

scholarly journals A Goal Reasoning Agent for Controlling UAVs in Beyond-Visual-Range Air Combat

2017 ◽  
Author(s):  
Michael W. Floyd ◽  
Justin Karneeb ◽  
Philip Moore ◽  
David W. Aha
Keyword(s):  
Intelligent Agent ◽  
Agent Architecture ◽  
Time Dynamic ◽  
Air Combat ◽  
Aerial Vehicle ◽  
Ablation Study ◽  
Discrepancy Detection ◽  
Visual Range ◽  
Reasoning Agent ◽  
Goal Reasoning

We describe the Tactical Battle Manager (TBM), an intelligent agent that uses several integrated artificial intelligence techniques to control an autonomous unmanned aerial vehicle in simulated beyond-visual-range (BVR) air combat scenarios. The TBM incorporates goal reasoning, automated planning, opponent behavior recognition, state prediction, and discrepancy detection to operate in a real-time, dynamic, uncertain, and adversarial environment. We describe evidence from our empirical study that the TBM significantly outperforms an expert-scripted agent in BVR scenarios. We also report the results of an ablation study which indicates that all components of our agent architecture are needed to maximize mission performance.

Beyond-Visual-Range Air Combat Tactics Auto-Generation by Reinforcement Learning

2020 ◽  
Author(s):  
Haiyin Piao ◽  
Zhixiao Sun ◽  
Guanglei Meng ◽  
Hechang Chen ◽  
Bohao Qu ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
Air Combat ◽  
Visual Range

Development of an Air Combat Performance Measure

1988 ◽  
Vol 32 (18) ◽  
pp. 1207-1211
Author(s):  
Gary S. Thomas ◽  
David C. Miller
Keyword(s):  
Performance Feedback ◽  
Diagnostic Performance ◽  
Performance Measure ◽  
Regression Analyses ◽  
Rater Agreement ◽  
Air Combat ◽  
Measure Of Performance ◽  
Development And Validation ◽  
Neutral Posture ◽  
Visual Range

The purpose of this research was to formulate a unitary measure of performance for simulated one-versus-one, within visual range, air-to-air combat. The measure will serve as a criterion for the development and validation of specific measures of ACM skill that can be used to provide diagnostic performance feedback to pilots. Two experiments were conducted in which fighter pilots served as judges and rank-ordered, from most to least desirable, hypothetical ACM engagement outcomes. Outcome variables included (1) whether or not the hypothetical pilot achieved a “kill,” (2) whether or not he survived the mission, (3) the percent of time the pilot was in an offensive, defensive, or neutral posture, (4) length of engagement, and (5) posture at the beginning and end of the engagement (offensive, defensive, or neutral). In order to determine inter-rater agreement among judges in Experiment I, their rankings were correlated. Correlations ranged from .93 to .99. Pilots' rankings of engagement outcomes were subjected to linear regression analyses to derive equations that could be used as a unitary measure of ACM success. The regression equation in Experiment I accounted for 95% of the variance in rankings, and the composite regression model calculated in Experiment II accounted for more than 70% of the variance.

Validation of the Explanatory Concept for Decision Support in Air-to-Air Combat

1997 ◽  
Vol 41 (1) ◽  
pp. 28-31
Author(s):  
Jeffrey L. Crick ◽  
Stephen J. Selcon ◽  
Maddalena Piras ◽  
Craig Shanks ◽  
Chris Drewery ◽  
...  
Keyword(s):  
Decision Support ◽  
Data Fusion ◽  
Graphical Representation ◽  
Ecological Validity ◽  
Graphical Displays ◽  
Air Combat ◽  
Control Version ◽  
Explanatory Concept ◽  
Military Pilots ◽  
Visual Range

A decision-support aid developed for use by pilots in air-to-air combat was evaluated in a simulated beyond-visual-range combat scenario in which military pilots competed against one another head-to-head. Combat performance was assessed on a range of operationally-valid measures with three different versions of a head-down display showing integrated information derived from data fusion. One version presented graphical, dynamic representations of both ownship's and the enemy's missile performance envelopes (launch success zones); another showed only the launch success zones of the enemy aircraft; and a third, control version showed neither form of graphical representation. Superior attacking performance was demonstrated with the display showing both ownship and enemy launch success zones, while more successful evasive performance was associated with the display showing only enemy launch success zones. Greater levels of situation understanding were associated with the display showing both ownship and enemy launch success zones. The results lend ecological validity to the use of explanatory graphical displays in providing decision support for pilots in air-to-air combat.

scholarly journals Cooperative Occupancy Decision Making of Multi-UAV in Beyond-Visual-Range Air Combat: A Game Theory Approach

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 11624-11634
Author(s):  
Yingying Ma ◽  
Guoqiang Wang ◽  
Xiaoxuan Hu ◽  
He Luo ◽  
Xing Lei
Keyword(s):  
Game Theory ◽  
Decision Making ◽  
Theory Approach ◽  
Air Combat ◽  
Visual Range ◽  
Multi Uav

scholarly journals A Simple Fight Decision Support System for BVR Air Combat Using Fuzzy Logic Algorithm

AVIA ◽  
2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Khairul Ummah ◽  
Herlan Setiadi ◽  
Hisar Manongam Pasaribu ◽  
Dhani Anandito
Keyword(s):  
Fuzzy Logic ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Future Trend ◽  
Fuzzy Logic Algorithm ◽  
Air Combat ◽  
Direct Encounter ◽  
Visual Range

Beyond Visual Range (BVR) air combat is a future trend of war tactic. In this situation, a fighter can attack the opponent before direct encounter. Its complexity arises due to the necessity to take into account the information of target’s maneuver, the specification of the missile, and the advantage of fighter position. In this paper, a simple BVR air combat system has been developed to give a fight strategy for pilot. Some important parameters are considered, such as the distance and the azimuth position of the target’s as well as the range and the energy of missile to reach the target. The information is processed to determine the fighter supremacy and the opponent’s threat factor. The result of the processing is used as an input of fuzzy logic algorithm to determine the optimal fighting strategy. The feasibility of the model and validity of the algorithm are verified by simulation under two typical situations

scholarly journals Evasive Maneuver Strategy for UCAV in Beyond-Visual-Range Air Combat Based on Hierarchical Multi-Objective Evolutionary Algorithm

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 46605-46623 ◽  
Author(s):  
Zhen Yang ◽  
Deyun Zhou ◽  
Haiyin Piao ◽  
Kai Zhang ◽  
Weiren Kong ◽  
...  
Keyword(s):  
Evolutionary Algorithm ◽  
Multi Objective ◽  
Air Combat ◽  
Visual Range

scholarly journals Control Allocation for an Over-Actuated Aircraft Based on Within-Visual-Range Air Combat Agility

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 14668-14675 ◽  
Author(s):  
Yan Liu ◽  
Zhenghong Gao ◽  
Chongyang Shang
Keyword(s):  
Control Allocation ◽  
Air Combat ◽  
Visual Range
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