PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Proceedings of the International and Interdisciplinary Conference on Adaptive Knowledge Representation and Reasoning (AKRR'05)
Timo Honkela, Ville Könönen, Matti Pöllä and Olli Simula, ed. (2005) Laboratory of Computer and Information Science, Helsinki University of Technology , Espoo, Finland . ISBN 951-22-7723-9

Abstract

International and Interdisciplinary Conference on Adaptive Knowledge Representation and Reasoning, AKRR'05, aims at raising awareness of adaptive approaches to knowledge representation and reasoning. The power of the adaptive systems lies in the fact that they enable computers to adapt to the needs of individuals, groups, enterprises and organizations in the changing world. The organization of the conference has been initiated by conversations that have taken place within the Technical Committee on Artificial Intelligence (TC12) of International Federation of Information Processing (IFIP) during IFIP World Congress in Toulouse, August 2004. The research in the area of knowledge representation and reasoning has strong and long traditions. A lot of the more recent attention, though, has focused on issues that have been discussed under some other titles such as neural networks. However, the basic questions of how to represent knowledge and how to conduct reasoning efficiently still remain valid regardless of the methodological framework. Therefore, it was considered important to reactivate the Working Group on knowledge representation and reasoning. The first concrete step is the organization of AKRR'05 that is intended to initiate the activity of the Working Group and serve as a basis for biennial series of conferences. Due to the short time for preparations from the decision to the actual conference, the event is organized with a strong local support from the Laboratory of Computer and Information Science of Helsinki University of Technology, Espoo, Finland. We are grateful to the PASCAL Network of Excellence on Pattern Analysis, Statistical Modelling and Computational Learning for its financial support. We also wish to recognize the important support by Helsinki University of Technology and the Laboratory of Computer and Information Science and wish to thank specifically Rector Matti Pursula and Academy Professor Erkki Oja. We are grateful to Espoo city for their support.

EPrint Type:Book
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
Natural Language Processing
ID Code:1816
Deposited By:Timo Honkela
Deposited On:28 November 2005