Brawler to CFAM: Incorporating stochastic engagement-level data in deterministic campaign models

Mayo, Benjamin R.; Paciencia, Todd J.; Croghan, Daniel P.

doi:10.1109/wsc.2016.7822114

Cited by 2 publications

(3 citation statements)

References 1 publication

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“…The one that attracted the most attention and yielded the most fruitful results, however, was the Homicidal Chauffeur (HC) problem in Isaacs 46 (pp. [232][233][234][235][236][237]. The HC problem starts with defining a game of two players in a horizontal plane.…”

Section: Continuous-space Solutionsmentioning

confidence: 99%

Guidance and control for own aircraft in the autonomous air combat: A historical review and future prospects

Dong

Liu

2019

Proceedings of the Institution of Mechanical Engineers, Part G:

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The Autonomous Air Combat technique has been a lasting research topic for decades. However, no complete solutions seem to have appeared because of the highly dynamic and complex nature of the Autonomous Air Combat problem. In devising the Autonomous Air Combat solutions, we follow similar methodologies in the robotics community, and divide the overall scheme into two folds: the perception of other (enemy/friendly) aircraft, and the guidance/control for own aircraft. While the perception in the first fold serves as a foundation, this paper is mainly focused on the second one. Based on our survey, a review of own aircraft guidance/control in the (primarily one-to-one) Autonomous Air Combat solutions is presented. We divide different Autonomous Air Combat solutions into three groups, i.e. mathematics-based, knowledge-encoded, and learning-driven. In each group, we present the representative methods first; problem definition, solution, and a brief overview of the historical development are illustrated. We also comment on both weakness and strengths for each group/method. We point out certain technical paths/challenges that need to be addressed in the future Autonomous Air Combat development, i.e. to abstract and emulate the human pilot experiences, and to develop the online learning capabilites. Inspired by the state-of-art techniques in other similar fields (robotics, autonomous driving), we also propose potential solutions, i.e. traditional approaches enhanced by the novel data-driven technique. Via this paper, we hope to deliver an in-depth analysis of past experiences and potential challenges/solutions for the Autonomous Air Combat technique. We also advocate referring to the approaches/techniques that are utilized in other similar fields in devising the Autonomous Air Combat solutions.

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Section: Continuous-space Solutionsmentioning

confidence: 99%

Guidance and control for own aircraft in the autonomous air combat: A historical review and future prospects

Dong

Liu

2019

Proceedings of the Institution of Mechanical Engineers, Part G:

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“…The challenge is to minimize losing representation of aspects relevant to the decision being investigated. Mayo et al 11 propose an interesting approach when transitioning from a stochastic higher-resolution model to a deterministic more-aggregate model. The Combat Forces Assessment Model (CFAM) is a mixed-integer linear program that incorporates information from higher-resolution models.…”

Section: Informing Up the Models And Simulations Hierarchymentioning

confidence: 99%

“…In Brawler informing the CFAM, the non-symmetric distributional results are lost because the CFAM only uses point estimates as inputs. Mayo et al 11 describe using a combination of bootstrapping and clustering methods to develop inputs that better represent critical aspects in the more-aggregate model.…”

Section: Informing Up the Models And Simulations Hierarchymentioning

confidence: 99%

Better analysis using the models and simulations hierarchy

Gallagher

Hackman

Lad

2018

Journal of Defense Modeling & Simulation

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We review the hierarchy of models and simulations (M&S) that categorize analysis of conflict. We build on this M&S hierarchy to provide a framework to assess the tools, data, people, processes, and partnerships. The framework provides a means to assess the analytic ability of an organization, describes the resolution and scopes of the parts of the system (tools or people, for examples), or can characterize the scope, applicability, and rigor of a particular study. We examine the process of incorporating the results from a model at one level of the hierarchy into a model at another hierarchy level, either more-aggregate or higher-resolution. Firstly, we describe the process of incorporating results from moreaggregate models as inputs in a higher-resolution model, which is often done to set the context. Then, we present information on the process of using the results of higher-resolution models as inputs in more-aggregate models.

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Brawler to CFAM: Incorporating stochastic engagement-level data in deterministic campaign models

Cited by 2 publications

References 1 publication

Guidance and control for own aircraft in the autonomous air combat: A historical review and future prospects

Guidance and control for own aircraft in the autonomous air combat: A historical review and future prospects

Better analysis using the models and simulations hierarchy

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