Analyzing Conversational Reasoning

Taxonomic Conversational Case-Based Reasoning

Conversational Case-Based Reasoning (CCBR) systems engage a user in a series of questions and answers to retrieve cases that solve his/her current problem. Help-desk and interactive troubleshooting systems are among the most popular implementations of the CCBR methodology. As in traditional CBR systems, features in a CCBR system can be expressed at varying levels of abstraction. In this paper, ...

Analyzing perceptual dimensions of conversational speech quality

Most telecommunication systems are used for communication between two people which interact during a conversation. In general, the quality of conversational speech is the major indicator for telecommunication-service providers to evaluate their systems. In this context, not only the assessment of the overall quality but also the analysis of the conversational speech quality is essential. We pre...

Supporting Conversational Case-Based Reasoning in an Integrated Reasoning Framework

in an Integrated Reasoning Framework David W. Aha, Leonard A. Breslow, and Tucker Maney Navy Center for Applied Research in Arti cial Intelligence Naval Research Laboratory Washington, DC 20375 [email protected] Abstract Conversational case-based reasoning (CCBR) has been successfully used to assist in case retrieval tasks. However, behavioral limitations of CCBR motivate the search for...

Dialogue Management for Conversational Case-Based Reasoning

Two key objectives of conversational case-based reasoning (CCBR) systems are (1) eliciting case facts in a manner that minimizes the user’s burden in terms of resources such as time, information cost, and cognitive load, and (2) integrating CBR with other problem solving modalities. This paper proposes an architecture that addresses both these goals by integrating CBR with a discourse-oriented ...

Anytime reasoning mechanism for conversational agents