Abstract
A current joint project between three institutions in Switzerland has as its goal to create Artificial Intelligence (AI) software for use in teaching principles of AI at the university level. The modules of this project, the Portable AI Lab PAIL illustrate basic concepts of Artificial Intelligence in a uniform and self-contained manner. This paper discusses the design considerations that were adopted in order to make the presentation of this material effective for students of various backgrounds and interest, particularly intermediate and advanced students, as well as, people in industry wanting to understand better how AI techniques can assist them in problem-solving.
The work reported in this paper was funded in part by the Swiss National Science Foundation Project 23, while both authors were affiliated with the Institut für Informatik, Universität Zürich
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
References
R. Aiken and D. Allemang. Designing laboratory modules for novices in an undergraduate AI course. In Proceedings of ACM SIG on Computer Science Education. ACM, March 1992.
Robert Aiken. The New Hurrah! Creating a Fundamental Role for AI in Computing Science Curriculum. Education and Computing, 7:119–124, 1991.
D. Allemang, R. Aiken, Nikolaus Almássy, Thomas Wehrle, and Thomas Rothenfluh. Teaching machine learning principles with the Portable AI Lab. In International Conference on Computer Aided Learning and Instruction in Science and Engineering. EPFL Ecublens, Sept 1991.
David Goldberg. Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley, Reading, MA, 1989.
J. J. Hopfield. Neural networks and physical systems with emergent collective computational abilities. Proc. Nat. Acad. Sci., 79:2554–2558, 1982.
Catherine M. Kitto and John H. Boose. Heuristics for expertise transfer: An implementation of a dialog manager for knowledge acquisition. Knowledge-based Systems, 2:175–194, 1988.
T. Kohonen. The “neural” phonetic typewriter. Computer, 21(3):11–24, 1988.
N. Major and H. Reichgelt. Alto: An automated laddering tool. In Current Trends in Knowledge Acquisition, pages 222–236. IOS, 1990.
Tom Mitchell, Richard Keller, and Smadar Kedar-Cabelli. Explanation-based generalization: A unifying view. Machine Learning, 1:47–80, 1986.
Tom Mitchell, Paul Utgoff, and Ranan Banerji. Learning by experimentation: Acquiring and refining problem-solving heuristics. In Carbonell Michalski and Mitchell, editors, Machine Learning, pages 163–190. Springer-Verlag, Berlin, 1984.
D. Rumelhart and D. Zipser. Feature discovery by competitive learning. In D. Rumelhart and J.L. McClelland, editors, Parallel Distributed Processing, volume 1, pages 151–193. MIT Press, Cambridge MA, 1986.
Guy L. Steele. Common Lisp, the language. Digital Press, 1984.
Beverly Thompson and William Thompson. Finding rules in data. Byte, pages 149–158, 1986.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1992 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Allemang, D., Aiken, R.M. (1992). Tailoring advanced instructional software for AI. In: Belli, F., Radermacher, F.J. (eds) Industrial and Engineering Applications of Artificial Intelligence and Expert Systems. IEA/AIE 1992. Lecture Notes in Computer Science, vol 604. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0025015
Download citation
DOI: https://doi.org/10.1007/BFb0025015
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-55601-5
Online ISBN: 978-3-540-47251-3
eBook Packages: Springer Book Archive