Title :
Problem Solving with Unstructured Information
Author :
Long, Shun ; Cai, Jian-Hua
Author_Institution :
Dept. of Comput. Sci., Jinan Univ., Guangzhou
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;
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
DOI :
10.1109/ICICIC.2008.431
