Adapting the Predator-Prey Game Theoretic Environment to Army Tactical Edge Scenarios with Computational Multiagent Systems

Asher, Derrik E.; Zaroukian, Erin; Barton, Sean L.

doi:10.29007/dlq7

Cited by 6 publications

(4 citation statements)

References 39 publications

(68 reference statements)

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“…Asher et al 37 proposed the adoption of militarily relevant tactics to a simulated predator-prey pursuit task that allowed for teams of deep RL agents to engage in various tactics through capability modifications such as decoys, traps, and camouflage. Furthermore, this research group has introduced methods for measuring coordination [38][39][40] toward a framework for integrating AI agents into mixed soldier-agent teams.…”

Section: Background and Related Workmentioning

confidence: 99%

On games and simulators as a platform for development of artificial intelligence for command and control

Goecks

Waytowich

Asher

et al. 2022

Journal of Defense Modeling & Simulation

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Games and simulators can be a valuable platform to execute complex multi-agent, multiplayer, imperfect information scenarios with significant parallels to military applications: multiple participants manage resources and make decisions that command assets to secure specific areas of a map or neutralize opposing forces. These characteristics have attracted the artificial intelligence (AI) community by supporting development of algorithms with complex benchmarks and the capability to rapidly iterate over new ideas. The success of AI algorithms in real-time strategy games such as StarCraft II has also attracted the attention of the military research community aiming to explore similar techniques in military counterpart scenarios. Aiming to bridge the connection between games and military applications, this work discusses past and current efforts on how games and simulators, together with the AI algorithms, have been adapted to simulate certain aspects of military missions and how they might impact the future battlefield. This paper also investigates how advances in virtual reality and visual augmentation systems open new possibilities in human interfaces with gaming platforms and their military parallels.

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Section: Background and Related Workmentioning

confidence: 99%

On games and simulators as a platform for development of artificial intelligence for command and control

Goecks

Waytowich

Asher

et al. 2022

Journal of Defense Modeling & Simulation

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show abstract

“…This research implements the adversarial character of the hacker and victim using cloud simulation as a tactical landscape. This method establishes an environment to quantify the attacker/victim relationship as a predator-prey interaction [39].…”

Section: Challenges and Contributionsmentioning

confidence: 99%

Cloud Security Game Theory Scoring From Predation Models In Simulation

Alsup

Putluru

Cui

et al. 2022

Preprint

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Cloud economics results from amassing computation resources while being able to distribute workload in space and time. The backbone of this ability is virtualization, which abstracts the host hardware, sharing virtual machines. This means of interface is also a primary vehicle and target for attackers. The counter-measures to this threat consider the costs and benefits to the cloud’s essential functions. Where the future development of the cloud is also considered, this competition between attackers and victims is analogous to those modeled in extended game theory. Yet, the attacker and victim costs and benefits, expressed as utility measures necessary for game-theory methods, are elusive quantities. This paper establishes such a game as a predator-prey contest played out on a data-center environment. A set of contestant parameters are applied at the threshold of a viable model to the recognizable boundaries. Measurement of system health is extracted in relief with individual cost, benefit, and risk. An examination of metrics capable of validating extended interaction is developed. This establishes a baseline model for more elaborate expression of security in cloud economics.

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“…Asher et al 37 proposed the adoption of militarily relevant tactics to a simulated predator-prey pursuit task that allowed for teams of deep reinforcement learning agents to engage in various tactics through capability modifications such as decoys, traps, and camouflage. Further, this research group has introduced methods for measuring coordination [38][39][40] towards a framework for integrating AI agents into mixed Soldier-agent teams 41,42 .…”

Section: Background and Related Workmentioning

confidence: 99%

On games and simulators as a platform for development of artificial intelligence for command and control

Goecks¹,

Waytowich²,

Asher³

et al. 2021

Preprint

View full text Add to dashboard Cite

Games and simulators can be a valuable platform to execute complex multi-agent, multiplayer, imperfect information scenarios with significant parallels to military applications: multiple participants manage resources and make decisions that command assets to secure specific areas of a map or neutralize opposing forces. These characteristics have attracted the artificial intelligence (AI) community by supporting development of algorithms with complex benchmarks and the capability to rapidly iterate over new ideas. The success of artificial intelligence algorithms in real-time strategy games such as StarCraft II have also attracted the attention of the military research community aiming to explore similar techniques in military counterpart scenarios. Aiming to bridge the connection between games and military applications, this work discusses past and current efforts on how games and simulators, together with the artificial intelligence algorithms, have been adapted to simulate certain aspects of military missions and how they might impact the future battlefield. This paper also investigates how advances in virtual reality and visual augmentation systems open new possibilities in human interfaces with gaming platforms and their military parallels.

show abstract

Adapting the Predator-Prey Game Theoretic Environment to Army Tactical Edge Scenarios with Computational Multiagent Systems

Cited by 6 publications

References 39 publications

On games and simulators as a platform for development of artificial intelligence for command and control

On games and simulators as a platform for development of artificial intelligence for command and control

Cloud Security Game Theory Scoring From Predation Models In Simulation

On games and simulators as a platform for development of artificial intelligence for command and control

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