In many settings, agents need to identify competent partners to assist them in accomplishing tasks. Direct experience may not provide sufficient data to learn the competence of ot...
A key challenge for mixed-initiative systems is to create a shared understanding of the task between human and agent. To address this challenge, we created a mixed-initiative inte...
John Zimmerman, Kathryn Rivard, Ian Hargraves, Ant...
The availability of large on-line text corpora provides a natural and promising bridge between the worlds of natural language processing (NLP) and machine learning (ML). In recent...
One of the most difficult problems in Multi-Agent Systems (MAS) involves representing the knowledge and beliefs of an agent which performs its tasks in a dynamic environment. New p...
This paper presents some of the key techniques for reaching agreements in multi-agent environments. It discusses game-theory and economics based techniques: strategic negotiation, ...