We introduce a language for the representation of a subset of strategic interactions. The representation is based on petri nets. Representable games are restricted to have a fini...
Many algorithms such as Q-learning successfully address reinforcement learning in single-agent multi-time-step problems. In addition there are methods that address reinforcement l...
In this paper, we describe the Rich Representation Language (RRL) which is used in the NECA system. The NECA system generates interactions between two or more animated characters....
Personalized information agents can help overcome some of the limitations of communal Web information sources such as portals and search engines. Two important components of these...
For an autonomous physical agent, such as a moving robot or a person with their mobile device, performing a task in a spatio-temporal environment often requires interaction with ot...