NDLI: Exploiting similarity and experience in decision making

Content Provider	IEEE Xplore Digital Library
Author	Hullermeier, E.
Copyright Year	2002
Description	Author affiliation: Dept. of Comput. Sci., Dortmund Univ., Germany (Hullermeier, E.)
Abstract	The idea of case-based decision making has recently been proposed as an alternative to the expected utility theory. A case-based decision maker learns by storing already experienced decision problems, along with a rating of the results. Whenever a new problem needs to be solved, possible actions are assessed on the basis of experience from similar situations in which these actions have already been applied. In this paper, we consider case-based decision making within the context of instance-based learning, which is a special type of machine learning method. From this consideration we suggest alternative case-based decision principles. These principles are motivated from a computational point of view and characterized axiomatically. Moreover, the possibility of applying case-based decision making in approximate reasoning is briefly discussed.
Sponsorship	IEEE IEEE Neural Networks Soc
Starting Page	729
Ending Page	734
File Size	458679
Page Count	6
File Format	PDF
ISBN	0780372808
DOI	10.1109/FUZZ.2002.1005083
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-05-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decision making Decision theory Utility theory Computer science Machine learning Learning systems Uncertainty Psychology Artificial intelligence Nearest neighbor searches
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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