13. Machine Intelligence 1994

Historical Perspectives

• John Alan Robinson: Logic, Computers, Turing, and von Neumann. 1-35 BibTeX
• Stephen Muggleton: Logic and Learning: Turing's legacy. 37-56 BibTeX

Inductive Inference

• Hiroki Arimura, Takeshi Shinohara, Setsuko Otsuki, Hiroki Ishizaka: A Generalization of the Least General Generalization. 59-85 BibTeX
• Ashwin Srinivasan, Stephen Muggleton, Michael Bain: The Justification of Logical Theories based on Data Compression. 87-121 BibTeX
• Ken'ichi Handa, Mikiko Nishikimi, Hitoshi Matsubara: Utilizing Structure Information in Concept Formation. 123-142 BibTeX
• Hiroshi Tsukimoto, Chie Morita: The Discovery of Propositions in Noisy Data. 143-167 BibTeX
• Takashi Yokomori: Learning non-deterministic finite automata from queries and counterexamples. 169-189 BibTeX

Scientific Domains

• Michael J. E. Sternberg, R. A. Lewis, Ross D. King, Stephen Muggleton: Machine Learning and biomolecular modelling. 193-212 BibTeX
• E. J. Kehoe: More than meets the eye: animal learning and knowledge induction. 213-246 BibTeX
• C. Trevarthen: Regulation of human cognition and its growth. 247-268 BibTeX
• Enn Tyugu: Large heterogeneous knowledge bases. 269-288 BibTeX

Experimental Machine Learning

• Michael Bain, Stephen Muggleton: Learning optimal chess strategies. 291-309 BibTeX
• Ross D. King, Bob Henery, Cao Feng, A. Sutherland: A Comparative Study of Classification Algorithms: Statistical, Machine Learning and Neural Network. 311-359 BibTeX

Learning Control

• Claude Sammut: Recent progress with BOXES. 363-383 BibTeX
• Donald Michie, Rui Camacho: Building symbolic representations of intuitive real-time skills from performance data. 385-418 BibTeX
• Masaki Suwa, Hiroshi Motoda: Learning Perceptually Chunked Macro Operators. 419-440 BibTeX
• Masayuki Numao, T. Maruoka, Masamichi Shimura: Inductively Speeding Up Logic Programs. 441-458 BibTeX