A Stochastic Hyperheuristic for Unsupervised Matching of Partial Information
Author
Source
Advances in Artificial Intelligence
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-10-31
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Science
Abstract EN
This paper (Revised version of a white paper “Unsupervised Problem-Solving by Optimising through Comparisons,” originally published on DCS and Scribd, October 2011.) describes the implementation and functionality of a centralised problem solving system that is included as part of the distributed “licas” system.
This is an open source framework for building service-based networks, similar to what you would do on a Cloud or SOA platform.
While the framework can include autonomous and distributed behaviour, the problem-solving part can perform more complex centralised optimisation operations and then feed the results back into the network.
The problem-solving system is based on a novel type of evaluation mechanism that prefers comparisons between solution results, over maximisation.
This paper describes the advantages of that and gives some examples of where it might perform better, including possibilities related to a more cognitive system.
American Psychological Association (APA)
Greer, Kieran. 2012. A Stochastic Hyperheuristic for Unsupervised Matching of Partial Information. Advances in Artificial Intelligence،Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-498298
Modern Language Association (MLA)
Greer, Kieran. A Stochastic Hyperheuristic for Unsupervised Matching of Partial Information. Advances in Artificial Intelligence No. 2012 (2012), pp.1-8.
https://search.emarefa.net/detail/BIM-498298
American Medical Association (AMA)
Greer, Kieran. A Stochastic Hyperheuristic for Unsupervised Matching of Partial Information. Advances in Artificial Intelligence. 2012. Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-498298
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-498298