14. Machine Intelligence 1993

@proceedings{DBLP:conf/mi/1993,
  editor    = {Koichi Furukawa and
               Donald Michie and
               Stephen Muggleton},
  title     = {Machine Intelligence 14, Proceedings of the Fourteenth Machine
               Intelligence Workshop, held at Hitachi Advanced Research Laboratories,
               Tokyo, Japan, November 1993},
  booktitle = {Machine Intelligence 14},
  publisher = {Oxford University Press},
  year      = {1995},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Complex Decision Taking

• Donald Michie: Game Mastery and Intelligence. 3-28
• Scott Benson, Nils J. Nilsson: Reacting, Planning, and Learning in an Autonomous Agent. 29-64
• Yoram Moses, Moshe Tennenholtz: Multi-entity Models. 65-90
• Austin Tate: Putting knowledge rich plan representations to use. 91-112
• Masaki Suwa, Hiroshi Motoda: On dealing with dynamic utility of learned knowledge. 113-

Inductive Logic Programming

• Stephen Muggleton: Inverting Entailment and Progol. 135-190
• Sumitaka Akiba, Taisuke Sato: Learning Logic Programs and Regularities from Examples by Inductive Inference. 191-212
• Arul Siromoney, Rani Siromoney: Variations and local exceptions in inductive logic programming. 213-234
• Michael Bain, Ashwin Srinivasan: Inductive Logic Programming With Large-Scale Unstructured Data. 235-

Applied Machine Learning

• Ross D. King, Dominic A. Clark, Jack Shirazi, Michael J. E. Sternberg: Discovery of Protein Structural Constraints in a Deductive Database using Inductive Logic Programming. 275-302
• Michael McGarity, Claude Sammut, David P. Clements: Controlling a steel mill with BOXES. 303-328
• Makoto Haraguchi: A Reasoning System for Legal Analogy. 329-352
• Kazumi Saito, Ryohei Nakano: A concept learning algorithm with adaptive search. 353-

Dynamic Control

• Ivan Bratko: Deriving qualitative control for dynamic systems. 373-394
• Donald Michie, Claude Sammut: Behavioural clones and cognitive skill models. 395-404
• Kouichi Hirata: A classification of abduction: abduction for logic programming. 405-

Computational Learning Theory

• Hiroshi Tsukimoto, Chie Morita: Efficient algorithms for inductive learning - an application of multi-linear functions to inductive learning. 435-