Analogical and Inductive Inference

3rd International Workshop, AII'92

Dagstuhl Castle, Germany, October 1992.

The Proceedings of AII '92 have been published in:

Lecture Notes in Artificial Intelligence 642, Springer-Verlag, 1992.

and are available ON-LINE

ISBN 3-540-56004-1

Editor: K.P. Jantke.

Table of Contens

Invited Talks

John Case, Dayanand S. Rajan, and Anil M. Shende:
Representing the Spatial/Kinematic Domain and Lattice Computers.		1-25
Zhixiang Chen and Wolfgang Maass:
A Solution of the Credit Assignment Problem in the Case of Learning Rectangles (Abstract).		26-34
John J. Grefenstette:
Learning Decision Strategies with Genetic Algorithms.		35-50
Nada Lavrac and Saso Dzeroski:
Background Knowledge and Declarative Bias in Inductive Concept Learning.		51-71
Rolf Wiehagen and Thomas Zeugmann:
Too Much Information Can be Too Much for Efficient Learning.		72-86

Submitted Papers

Kurt Ammon:
Some Experiments With a Learning Procedure.		87-98
Kalvis Apsitis, Rusins Freivalds, Martins Krikis, Raimonds Simanovskis, and Juris Smotrovs:
Unions of Identifiable Classes of Total Recursive Functions.		99-107
Ganesh Baliga, Sanjay Jain, and Arun Sharma:
Learning from Multiple Sources of Inaccurate Data.		108-128
John Case, Keh-Jiann Chen, and Sanjay Jain:
Strong Separation of Learning Classes.		129-139
William W. Cohen:
Desiderata for Generalization-to-N Algorithms.		140-150
Robert P. Daley, Bala Kalyanasundaram, and Mahe Velauthapillai:
The Power of Probabilism in Popperian FINite Learning (extended abstract).		151-169
Peter A. Flach:
An Analysis of Various Forms of ‘Jumping to Conclusions’.		170-186
Rusins Freivalds and Achim Hoffmann:
An Inductive Inference Appoach to Classification.		187-196
William I. Gasarch and Mahendran Velauthapillai:
Asking Questions Versus Verifiability.		197-213
Bipin Indurkhya:
Predicative Analogy and Cognition.		214-231
Efim Kinber:
Learning A Class of Regular Expressions via Restricted Subset Queries.		232-243
Steffen Lange and Thomas Zeugmann:
A Unifying Approach to Monotonic Langauge Learning on Informant.		244-259
Yasuhito Mukouchi:
Characterization of Finite Identification.		260-267
Scott O'Hara:
A Model of the ‘Redescription’ Process in the Context of Geometric Proportional Analogy Problems.		268-293
Foster J. Provost and Bruce G. Buchanan:
Inductive Strengthening: the Effects of a Simple Heuristic for Restricting Hypothesis Space Search.		294-304
Yuji Takada:
On Identifying DNA Splicing Systems from Examples.		305-319

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