Machine Learning, Volume 12

Volume 12, 1993

• Jan M. Zytkow: Introduction: Cognitive Autonomy in Machine Discovery. 7-16
• Bernd Nordhausen, Pat Langley: An Integrated Framework for Empirical Discovery. 17-47
• Paul D. Scott, Shaul Markovitch: Experience Selection and Problem Choice in an Exploratory Learning System. 49-67
• Aleksandar Milosavljevic, Jerzy Jurka: Discovery by Minimal Length Encoding: A Case Study in Molecular Evolution. 69-87
• Peter D. Karp: Design Methods for Scientific Hypothesis Formation and Their Application to Molecular Biology. 89-116
• Armand Prieditis: Machine Discovery of Effective Admissible Heuristics. 117-141
• Wei-Min Shen: Discovery as Autonomous Learning from the Environment. 143-165
• Cullen Schaffer: Bivariate Scientific Function Finding in a Sampled, Real-Data Testbed. 167-183
• Shankar A. Rajamoney: The Design of Discrimination Experiments. 185-203