A Summary of Machine Learning Papers From IJCAI-85

This report reviews the 31 papers on machine learning that were presented at the Ninth International Joint Conference on Artificial Intelligence (IJCAI-85) held in Los Angeles during August, 1985. The papers are grouped according to a taxonomy of the various subareas of machine learning research. The areas receiving the most attention at IJCAI-85 included learning apprentice systems and methods of explanation-based learning, although virtually all areas of machine learning research were represented. The paper describes some opportunities for further research, especially in the area of discovering new terms. The wide variety and high quality of the papers demonstrates that machine learning is a very healthy field of research.

[1]  Jack Mostow,et al.  Toward Better Models of the Design Process , 1985, AI Mag..

[2]  Richard Waldinger,et al.  Achieving several goals simultaneously , 1977 .

[3]  James S. Bennett ROGET: A knowledge-based system for acquiring the conceptual structure of a diagnostic expert system , 2004, Journal of Automated Reasoning.

[4]  A. Kitchen,et al.  Knowledge based systems in artificial intelligence , 1985, Proceedings of the IEEE.

[5]  Paul E. Utgoff,et al.  Adjusting Bias in Concept Learning , 1983, IJCAI.

[6]  Nils J. Nilsson,et al.  Principles of Artificial Intelligence , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.