Autonomous robots that can adapt to novel situations has been a long standing vision of robotics, artificial intelligence, and cognitive sciences. Early approaches to this goal du...
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
This paper addresses the problem of recognizing policies given logs of battle scenarios from multi-player games. The ability to identify individual and team policies from observat...
Many agents are fielded within environments requiring modeling traditional organizational structures such as military hierarchies and corporations, with their associated authority...
Marcus J. Huber, Sanjeev Kumar, David McGee, Sean ...
er presents a novel approach for concisely abstracting authentication s and for subsequently analyzing those abstractions in a sound manner, i.e., deriving authentication guarante...
Michael Backes, Agostino Cortesi, Riccardo Focardi...