This paper studies the problem of modeling complex domains of actions and change within highlevel action description languages. We investigate two main issues of concern: (a) can ...
In previous work, action languages have predominantly been concerned with domains in which values are static unless changed by an action. Real domains, however, often contain value...
Sandeep Chintabathina, Michael Gelfond, Richard Wa...
We consider the frame problem, that is, char acterizing the assumption that properties tend to persist over time. We show that there are at least three distinct assumptions that...
How can an intelligent agent update her knowledge base about an action domain, relative to some conditions (possibly obtained from earlier observations)? We study this question in...
Decentralized Markov decision processes are frequently used to model cooperative multi-agent systems. In this paper, we identify a subclass of general DEC-MDPs that features regul...