66 citations · 128 across the 6 of their papers we have counts for
6 papers
The Adversarial Discount -- AI, Signal Correlation, and the Cybersecurity Arms Race
James W. Bono
We study a contest-theoretic model of adversarial investment in which an attacker and a defender allocate resources to AI-augmented capabilities across multiple attack surfaces. Th…
Game Mining: How to Make Money from those about to Play a Game
James W. Bono, David H. Wolpert
It is known that a player in a noncooperative game can benefit by publicly restricting his possible moves before play begins. We show that, more generally, a player may benefit by…
Content Filtering with Inattentive Information Consumers
Ian Ball, James Bono, Justin Grana +3
We develop a model of content filtering as a game between the filter and the content consumer, where the latter incurs information costs for examining the content. Motivating examp…
Deep Reinforcement Learning for Event-Driven Multi-Agent Decision Processes
Kunal Menda, Yi-Chun Chen, Justin Grana +4
The incorporation of macro-actions (temporally extended actions) into multi-agent decision problems has the potential to address the curse of dimensionality associated with such de…
Cyber-Physical Security: A Game Theory Model of Humans Interacting over Control Systems
Scott Backhaus, Russell Bent, James Bono +5
Recent years have seen increased interest in the design and deployment of smart grid devices and control algorithms. Each of these smart communicating devices represents a potentia…
Counter-Factual Reinforcement Learning: How to Model Decision-Makers That Anticipate The Future
Ritchie Lee, David H. Wolpert, James Bono +3
This paper introduces a novel framework for modeling interacting humans in a multi-stage game. This "iterated semi network-form game" framework has the following desirable characte…