DocumentCode
2632771
Title
Problem Solving with Unstructured Information
Author
Long, Shun ; Cai, Jian-Hua
Author_Institution
Dept. of Comput. Sci., Jinan Univ., Guangzhou
fYear
2008
fDate
18-20 June 2008
Firstpage
79
Lastpage
79
Abstract
Learning is an integral part of intelligent agent´s problem-solving ability. Most research works on learning assume that information be provided in a complete and well-structured manner and/or when rules are clearly specified. They have difficulties in handling cases with incomplete and unstructured data. This document presents an information retrieval based approach to deal with this difficulty. Preliminary experimental results show that information retrieval can effectively help an agent to analyze and solve the problems encountered.
Keywords
information retrieval; learning (artificial intelligence); problem solving; information retrieval; intelligent agent; learning; problem solving; unstructured information; Accidents; Computer science; Databases; Frequency; Information analysis; Information retrieval; Intelligent agent; Pattern matching; Problem-solving;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
Conference_Location
Dalian, Liaoning
Print_ISBN
978-0-7695-3161-8
Electronic_ISBN
978-0-7695-3161-8
Type
conf
DOI
10.1109/ICICIC.2008.431
Filename
4603268
Link To Document