Applied Adversarial Reasoning and Risk Modeling
Papers from the 2011 AAAI Workshop
Noa Agmon, Christopher Kiekintveld Workshop Cochairs
Recent advances in adversarial reasoning are now being used in many exciting domains, including deployed software tools for homeland security, poker bots capable of beating expert human players, RoboCup teams with sophisticated adaptive strategies, and tools for managing network and information security. All of these examples share the fundamental challenge of developing agent strategies and decision-making tools that take into account the likely behavior of one or more adversaries. Addressing this challenge in complex real-world domains has inspired many novel tools for adversarial reasoning spanning computational game theory, robust decision making under uncertainty, risk analysis, and opponent modeling.
The main goal of this workshop is to facilitate discussion between researchers working on different applied problems in adversarial reasoning and risk modeling. These applications share many of the same core research challenges, but often the work is presented to a limited audience specializing in a particular type of application. Here, we aim to provide a venue for crossfertilization that will give researchers working in different domains the opportunity to share their knowledge and techniques for adversarial modeling under risk and uncertainty, potentially leading to new ways to leverage domain specific methods into a coherent global framework for applied strategic reasoning.