Enhanced behavioral realism for live fire targets

Rick Evertsz; Andrew Lucas; Cameron Smith; Matteo Pedrotti; Frank E. Ritter; Rob Baker; Paul Burns

Enhanced behavioral realism for live fire targets

Rick Evertsz, Andrew Lucas, Cameron Smith, Matteo Pedrotti, Frank E. Ritter, Rob Baker, Paul Burns

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Live fire training is an essential component of infantry and Special Forces training. Recent developments in target technology have created a need for more sophisticated human behavior models that can drive the targets to behave in a realistic and challenging manner. Such behavior models enable the targets to exhibit convincing tactical behavior, as well as coordinating as a team to confront the trainee with a more formidable foe. This paper describes the current status of an ongoing project to augment disparate target types with sophisticated behavioral capabilities. The underlying CoJACK™ behavior engine enables the deployment of targets that behave realistically, react in a timely fashion, and exhibit sufficient variation to ensure that the trainees cannot predict how opponents will behave. The behavior models are developed using the VBS2 environment so that they can be validated in advance of target deployment on the targets. The technological approach is presented along with two illustrative scenarios. We conclude with a discussion of the lessons learnt and the way forward, including the development of autonomous target vehicles.

Original language	English (US)
Title of host publication	23rd Annual Conference on Behavior Representation in Modeling and Simulation, BRiMS 2014, Co-Located with the International Social Computing, Behavioral Modeling and Prediction Conference
Publisher	BRIMS Committee
Pages	2-9
Number of pages	8
ISBN (Print)	9781632665188
State	Published - 2014
Event	23rd Annual Conference on Behavior Representation in Modeling and Simulation, BRiMS 2014, Co-Located with the International Social Computing, Behavioral Modeling and Prediction Conference - Washington, DC, United States Duration: Apr 11 2014 → Apr 14 2014

Publication series

Name	23rd Annual Conference on Behavior Representation in Modeling and Simulation, BRiMS 2014, Co-Located with the International Social Computing, Behavioral Modeling and Prediction Conference

Other

Other	23rd Annual Conference on Behavior Representation in Modeling and Simulation, BRiMS 2014, Co-Located with the International Social Computing, Behavioral Modeling and Prediction Conference
Country/Territory	United States
City	Washington, DC
Period	4/11/14 → 4/14/14

All Science Journal Classification (ASJC) codes

Modeling and Simulation

Cite this

Evertsz, R., Lucas, A., Smith, C., Pedrotti, M., Ritter, F. E., Baker, R., & Burns, P. (2014). Enhanced behavioral realism for live fire targets. In 23rd Annual Conference on Behavior Representation in Modeling and Simulation, BRiMS 2014, Co-Located with the International Social Computing, Behavioral Modeling and Prediction Conference (pp. 2-9). (23rd Annual Conference on Behavior Representation in Modeling and Simulation, BRiMS 2014, Co-Located with the International Social Computing, Behavioral Modeling and Prediction Conference). BRIMS Committee.

Evertsz, Rick ; Lucas, Andrew ; Smith, Cameron et al. / Enhanced behavioral realism for live fire targets. 23rd Annual Conference on Behavior Representation in Modeling and Simulation, BRiMS 2014, Co-Located with the International Social Computing, Behavioral Modeling and Prediction Conference. BRIMS Committee, 2014. pp. 2-9 (23rd Annual Conference on Behavior Representation in Modeling and Simulation, BRiMS 2014, Co-Located with the International Social Computing, Behavioral Modeling and Prediction Conference).

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title = "Enhanced behavioral realism for live fire targets",

abstract = "Live fire training is an essential component of infantry and Special Forces training. Recent developments in target technology have created a need for more sophisticated human behavior models that can drive the targets to behave in a realistic and challenging manner. Such behavior models enable the targets to exhibit convincing tactical behavior, as well as coordinating as a team to confront the trainee with a more formidable foe. This paper describes the current status of an ongoing project to augment disparate target types with sophisticated behavioral capabilities. The underlying CoJACK{\texttrademark} behavior engine enables the deployment of targets that behave realistically, react in a timely fashion, and exhibit sufficient variation to ensure that the trainees cannot predict how opponents will behave. The behavior models are developed using the VBS2 environment so that they can be validated in advance of target deployment on the targets. The technological approach is presented along with two illustrative scenarios. We conclude with a discussion of the lessons learnt and the way forward, including the development of autonomous target vehicles.",

author = "Rick Evertsz and Andrew Lucas and Cameron Smith and Matteo Pedrotti and Ritter, {Frank E.} and Rob Baker and Paul Burns",

year = "2014",

language = "English (US)",

isbn = "9781632665188",

series = "23rd Annual Conference on Behavior Representation in Modeling and Simulation, BRiMS 2014, Co-Located with the International Social Computing, Behavioral Modeling and Prediction Conference",

publisher = "BRIMS Committee",

pages = "2--9",

booktitle = "23rd Annual Conference on Behavior Representation in Modeling and Simulation, BRiMS 2014, Co-Located with the International Social Computing, Behavioral Modeling and Prediction Conference",

note = "23rd Annual Conference on Behavior Representation in Modeling and Simulation, BRiMS 2014, Co-Located with the International Social Computing, Behavioral Modeling and Prediction Conference ; Conference date: 11-04-2014 Through 14-04-2014",

}

Evertsz, R, Lucas, A, Smith, C, Pedrotti, M, Ritter, FE, Baker, R & Burns, P 2014, Enhanced behavioral realism for live fire targets. in 23rd Annual Conference on Behavior Representation in Modeling and Simulation, BRiMS 2014, Co-Located with the International Social Computing, Behavioral Modeling and Prediction Conference. 23rd Annual Conference on Behavior Representation in Modeling and Simulation, BRiMS 2014, Co-Located with the International Social Computing, Behavioral Modeling and Prediction Conference, BRIMS Committee, pp. 2-9, 23rd Annual Conference on Behavior Representation in Modeling and Simulation, BRiMS 2014, Co-Located with the International Social Computing, Behavioral Modeling and Prediction Conference, Washington, DC, United States, 4/11/14.

Enhanced behavioral realism for live fire targets. / Evertsz, Rick; Lucas, Andrew; Smith, Cameron et al.
23rd Annual Conference on Behavior Representation in Modeling and Simulation, BRiMS 2014, Co-Located with the International Social Computing, Behavioral Modeling and Prediction Conference. BRIMS Committee, 2014. p. 2-9 (23rd Annual Conference on Behavior Representation in Modeling and Simulation, BRiMS 2014, Co-Located with the International Social Computing, Behavioral Modeling and Prediction Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Lucas, Andrew

AU - Smith, Cameron

AU - Pedrotti, Matteo

AU - Ritter, Frank E.

AU - Baker, Rob

AU - Burns, Paul

PY - 2014

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AB - Live fire training is an essential component of infantry and Special Forces training. Recent developments in target technology have created a need for more sophisticated human behavior models that can drive the targets to behave in a realistic and challenging manner. Such behavior models enable the targets to exhibit convincing tactical behavior, as well as coordinating as a team to confront the trainee with a more formidable foe. This paper describes the current status of an ongoing project to augment disparate target types with sophisticated behavioral capabilities. The underlying CoJACK™ behavior engine enables the deployment of targets that behave realistically, react in a timely fashion, and exhibit sufficient variation to ensure that the trainees cannot predict how opponents will behave. The behavior models are developed using the VBS2 environment so that they can be validated in advance of target deployment on the targets. The technological approach is presented along with two illustrative scenarios. We conclude with a discussion of the lessons learnt and the way forward, including the development of autonomous target vehicles.

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SN - 9781632665188

T3 - 23rd Annual Conference on Behavior Representation in Modeling and Simulation, BRiMS 2014, Co-Located with the International Social Computing, Behavioral Modeling and Prediction Conference

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BT - 23rd Annual Conference on Behavior Representation in Modeling and Simulation, BRiMS 2014, Co-Located with the International Social Computing, Behavioral Modeling and Prediction Conference

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Y2 - 11 April 2014 through 14 April 2014

ER -

Evertsz R, Lucas A, Smith C, Pedrotti M, Ritter FE, Baker R et al. Enhanced behavioral realism for live fire targets. In 23rd Annual Conference on Behavior Representation in Modeling and Simulation, BRiMS 2014, Co-Located with the International Social Computing, Behavioral Modeling and Prediction Conference. BRIMS Committee. 2014. p. 2-9. (23rd Annual Conference on Behavior Representation in Modeling and Simulation, BRiMS 2014, Co-Located with the International Social Computing, Behavioral Modeling and Prediction Conference).

Enhanced behavioral realism for live fire targets

Abstract

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All Science Journal Classification (ASJC) codes

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