Title
Integrating Conversational Case Retrieval with generative Planning
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.
Year
DOI
Venue
2000
10.1007/3-540-44527-7_19
EWCBR
Keywords
Field
DocType
conversational case retriever,sin user,novel integrated algorithm,partial world state acquisition,complete domain theory,generative planning technique,new travel planning domain,generative planning,integrated case retrieval,fewer case,integrating conversational case retrieval,complete world state,decision support,domain theory
Quadratic growth,Computer science,Decision support system,Domain theory,Artificial intelligence,Generative grammar,Knowledge base
Conference
Volume
ISSN
ISBN
1898
0302-9743
3-540-67933-2
Citations 
PageRank 
References 
7
1.41
13
Authors
5
Name
Order
Citations
PageRank
Hector Muñoz-Avila152244.02
David W. Aha24103620.93
Len Breslow324724.59
Dana S Nau44290531.46
Rosina Weber-Lee5233.31