Paper Info
Title
XPLANS: Case-based reasoning for plan recognition
Abstract
In the context of a command, control, communication, and intelligence ((CI)-I-3) system, we have built a case-based reasoning module for plait recognition. It is based on knowledge representation structures called XPlans, inspired in part by Schank's Explanation Patterns. The uncertainty inherent to an uncontrolled flow of input and the presence of lacunar data make the retrieval of cases difficult. This led us to develop an algorithm for partial and progressive matching of the target case onto some of the source cases. This matching amounts in practice to a credit assignment mechanism, included in the algorithm associated with each XPlan. This method has been designed to meet the requirements of a DRET project to build a decision support module for a (CI)-I-3 system-the MATIS project. Its task is to interpret and complete the results of an intelligent "pattern-recognition-and-data-fusion" module in order to make the intentions underlying the recognized situation explicit to the decision maker This advice is given as a causal explanation of an agent's behavior from low-level information.
Year
DOI
Venue
1994
10.1080/08839519408945462
APPLIED ARTIFICIAL INTELLIGENCE
Keywords
Field
DocType
knowledge representation,data fusion,pattern recognition,decision maker,decision support,case base reasoning
Credit assignment,Knowledge representation and reasoning,Computer science,Decision support system,Artificial intelligence,Plan recognition,Systems architecture,Case-based reasoning,Computer graphics,Decision maker,Machine learning
Journal
Volume
Issue
ISSN
8
4
0883-9514
Citations 
PageRank 
References 
10
1.11
10
Authors
4
Name
Order
Citations
PageRank
Michel Barès1101.11
Dolores Cañamero216820.79
Jean-françois Delannoy3101.45
Yves Kodratoff4581172.25