While recent research on rule learning has focused largely on finding highly accurate hypotheses, we evaluate the degree to which these hypotheses are...
We describe the development of an automated agent that can negotiate efficiently with people in crises. The environment is characterized by two negoti...
This paper introduces a hierarchical Markov model that can learn and infer a user's daily movements through an urban community. The model uses multipl...
This paper discusses If multi-agent learning is the answer, what is the question? [Y. Shoham, R. Powers, T. Grenager, If multi-agent learning is the a...
