Introduction: Cognitive autonomy in machine discovery-Reference-Cited by-同舟云学术

Introduction: Cognitive autonomy in machine discovery

Published:1993-08 Issue:1-3 Volume:12 Page:7-16
ISSN:0885-6125
Container-title:Machine Learning
language:en
Short-container-title:Mach Learn

Author:

Żytkow Jan M.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/BF00993058.pdf

Reference18 articles.

1. Falkenhainer, B.C. (1987). Scientific theory formation through analogical inference.Proceedings of Fourth International Workshop on Machine Learning (pp. 218–229). Los Altos, CA: Morgan Kaufmann.

2. Falkenhainer, B.C., & Rajamoney, S. (1988). The interdependencies of theory formation revision, and experimentation.Proceedings of the Fifth International Conference on Machine Learning (pp. 353–366). Los Altos, CA: Morgan Kaufmann.

3. Fischer, P., & Żytkow, J. (1990). Discovering quarks and hidden structure. In Z. Ras, M. Zemankova, & M. Emrich (Eds.),Methodologies for intelligent systems (Vol. 5). New York: North-Holland, pp. 362–370.

4. Fischer, D.H. (1987). Knowledge acquisition via incremental conceptual clustering.Machine Learning, 2, 139–172.

5. Forbus, K.D. (1984). Qualitative process theory.Artificial Intelligence, 24,

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine invention systems: a (r)evolution of the invention process?;AI & SOCIETY;2020-11-23

2. Learning In-between Concept Descriptions Using Iterative Induction;Methods and Applications of Artificial Intelligence;2004

3. A way of increasing both autonomy and versatility of a KDD system;Lecture Notes in Computer Science;1997

4. Machine learning for information extraction;Information Extraction A Multidisciplinary Approach to an Emerging Information Technology;1997

5. An Overview of Knowledge Discovery in Databases: Recent Progress and Challenges;Rough Sets, Fuzzy Sets and Knowledge Discovery;1994