Proceedings

Generating Information-Sharing Subdialogues in Expert-User Consultation

Download BibTeX Cite

Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence. Natural Language. Pages 1243-1249.

Abstract

In expert-consultation dialogues, it is inevitable that an agent will at times have insufficient information to determine whether to accept or reject a proposal by the other agent. This results in the need for the agent to initiate an information-sharing subdialogue to form a set of shared beliefs within which the agents can effectively re-evaluate the proposal. This paper presents a computational strategy for initiating such information-sharing subdialogues to resolve the system's uncertainty regarding the acceptance of a user proposal. Our model determines when information-sharing should be pursued, selects a focus of information-sharing among multiple uncertain beliefs, chooses the most effective information-sharing strategy, and utilizes the newly obtained information to re-evaluate the user proposal. Furthermore, our model is capable of handling embedded information-sharing subdialogues.

Jennifer Chu-Carroll, and Sandra Carberry. 1995. Generating Information-Sharing Subdialogues in Expert-User Consultation. In Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, IJCAI-95. IJCAI, 1243–1249. https://ijcai.org/proceedings/1995/160
Welcome Future Conferences AI Journal Division IJCAI Proceedings About IJCAI IJCAI Awards