This paper is concerned with the problem of obtaining predictable interactions between groups of agents in open environments when individual agents do not expose their bdi logic. ...
Nardine Osman, David Robertson, Christopher Walton
It is often the case that agents within a system have distinct types of knowledge. Furthermore, whilst common goals may be agreed upon, the particular representations of the indiv...
We show that in modeling social interaction, particularly dialogue, the attitude of obligation can be a useful adjunct to the popularly considered attitudes of belief, goal, and i...
To be effective, an agent that collaborates with humans needs to be able to learn new tasks from humans they work with. This paper describes a system that learns executable task m...
James F. Allen, Nathanael Chambers, George Ferguso...
This paper describes our work constructing a generalized framework for modeling multi agent interactions in education-related applications. Historically, interactive learning syst...