Search Results for author: Alexander Kott

Found 10 papers, 0 papers with code

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

no code implementations21 Oct 2021 Vinicius G. Goecks, Nicholas Waytowich, Derrik E. Asher, Song Jun Park, Mark Mittrick, John Richardson, Manuel Vindiola, Anne Logie, Mark Dennison, Theron Trout, Priya Narayanan, Alexander Kott

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.

Starcraft Starcraft II

To Improve Cyber Resilience, Measure It

no code implementations18 Feb 2021 Alexander Kott, Igor Linkov

The only way to know is to specifically measure cyber resilience with and without a particular set of controls.

Cryptography and Security

Intelligent Autonomous Things on the Battlefield

no code implementations26 Feb 2019 Alexander Kott, Ethan Stump

Numerous, artificially intelligent, networked things will populate the battlefield of the future, operating in close collaboration with human warfighters, and fighting as teams in highly adversarial environments.

BIG-bench Machine Learning

Challenges and Characteristics of Intelligent Autonomy for Internet of Battle Things in Highly Adversarial Environments

no code implementations20 Mar 2018 Alexander Kott

This paper explores the characteristics, capabilities and intelligence required of such a network of intelligent things and humans - Internet of Battle Things (IOBT).

BIG-bench Machine Learning

Validation of Information Fusion

no code implementations22 Jul 2016 Alexander Kott, Wes Milks

Common definitions of validation compare the actual state of the world with that derived by the fusion process.

Predicting Enemy's Actions Improves Commander Decision-Making

no code implementations22 Jul 2016 Michael Ownby, Alexander Kott

The Defense Advanced Research Projects Agency (DARPA) Real-time Adversarial Intelligence and Decision-making (RAID) program is investigating the feasibility of "reading the mind of the enemy" - to estimate and anticipate, in real-time, the enemy's likely goals, deceptions, actions, movements and positions.

Decision Making

Coalition-based Planning of Military Operations: Adversarial Reasoning Algorithms in an Integrated Decision Aid

no code implementations22 Jan 2016 Larry Ground, Alexander Kott, Ray Budd

Use of knowledge-based planning tools can help alleviate the challenges of planning a complex operation by a coalition of diverse parties in an adversarial environment.

Scheduling

Toward a Research Agenda in Adversarial Reasoning: Computational Approaches to Anticipating the Opponent's Intent and Actions

no code implementations25 Dec 2015 Alexander Kott, Michael Ownby

This paper defines adversarial reasoning as computational approaches to inferring and anticipating an enemy's perceptions, intents and actions.

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