Book chapter
Integrating Conversational Case Retrieval with Generative Planning
Advances in Case-Based Reasoning, pp 210-221
14 Jan 2003
Abstract
Some problem-solving tasks are amenable to integrated case retrieval and generative planning techniques. This is certainly true for some decision support tasks, in which a user controls the problem-solving process but cannot provide a complete domain theory. Unfortunately, existing integrations are either non-interactive or require a complete domain theory and/or complete world state to produce acceptable plans, preventing them from being easily used in these situations. We describe a novel integrated algorithm, named SiN, that is interactive and does not require a complete domain theory or complete world state. SiN users leverage a conversational case retriever to focus both partial world state acquisition and plan generation. We highlight the benefits of SiN (e.g., quadratically fewer cases needed) in an experimental study using a new travel planning domain.
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4 citations in Scopus
Details
- Title
- Integrating Conversational Case Retrieval with Generative Planning
- Creators
- Héctor Muñoz-Avila - United States Naval Research LaboratoryDavid W. Aha - United States Naval Research LaboratoryLeonard A. BreslowDana S. Nau - University of Maryland, College ParkRosina Weber
- Publication Details
- Advances in Case-Based Reasoning, pp 210-221
- Series
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg; Berlin, Heidelberg
- Resource Type
- Book chapter
- Language
- English
- Academic Unit
- Information Science (Informatics)
- Scopus ID
- 2-s2.0-84948162206
- Other Identifier
- 991019238874604721