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Editorial – The 15th Artificial Intelligence and Cognitive Science Conference (AICS-04)

Editorial – The 15th Artificial Intelligence and Cognitive Science Conference (AICS-04) Artificial Intelligence Review (2005) 24:229–231 © Springer 2005 DOI 10.1007/s10462-005-9016-4 Editorial – The 15th Artificial Intelligence and Cognitive Science Conference (AICS-04) This Special Issue of Artificial Intelligence Review Journal contains a selection of papers that describe work presented at the 15th Artificial Intelligence and Cognitive Science Conference (AICS-04). A variety of papers discuss research in the area of Recommenda- tion, Search and Retrieval. In the first of these papers Hoare and Sorensen present a tool that visualizes search results by using the sim- ilarity of documents in a result-set to determine their proximity to one another in an information map. The information map facilitates information foraging. McCarey et al. introduce a recommender agent, called RASCAL, developed specifically for use in the software engi- neering domain. RASCAL mines code repositories to gain knowledge about component usage patterns and then employs this knowledge to recommend a candidate set of software components to a devel- oper. The paper by Cummins and O’Riordan describes a genetic pro- gramming framework for evolving term-weighting scheme for use in Information Retrieval. The authors present an analysis of some of the schemes evolved and show why they achieve an average preci- sion higher than that of the http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Artificial Intelligence Review Springer Journals

Editorial – The 15th Artificial Intelligence and Cognitive Science Conference (AICS-04)

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Publisher
Springer Journals
Copyright
Copyright © 2005 by Springer
Subject
Computer Science; Complexity; Computer Science, general ; Artificial Intelligence (incl. Robotics)
ISSN
0269-2821
eISSN
1573-7462
DOI
10.1007/s10462-005-9016-4
Publisher site
See Article on Publisher Site

Abstract

Artificial Intelligence Review (2005) 24:229–231 © Springer 2005 DOI 10.1007/s10462-005-9016-4 Editorial – The 15th Artificial Intelligence and Cognitive Science Conference (AICS-04) This Special Issue of Artificial Intelligence Review Journal contains a selection of papers that describe work presented at the 15th Artificial Intelligence and Cognitive Science Conference (AICS-04). A variety of papers discuss research in the area of Recommenda- tion, Search and Retrieval. In the first of these papers Hoare and Sorensen present a tool that visualizes search results by using the sim- ilarity of documents in a result-set to determine their proximity to one another in an information map. The information map facilitates information foraging. McCarey et al. introduce a recommender agent, called RASCAL, developed specifically for use in the software engi- neering domain. RASCAL mines code repositories to gain knowledge about component usage patterns and then employs this knowledge to recommend a candidate set of software components to a devel- oper. The paper by Cummins and O’Riordan describes a genetic pro- gramming framework for evolving term-weighting scheme for use in Information Retrieval. The authors present an analysis of some of the schemes evolved and show why they achieve an average preci- sion higher than that of the

Journal

Artificial Intelligence Review – Springer Journals

Published: Oct 21, 2005

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