Special Issue on

Algorithmic Learning Theory

for AII'92 in the

Journal of Experimental & Theoretical Artificial Intelligence Vol. 6, No. 1, 1994.

The Special Issue on Algorithmic Learning Theory for AII'92 in the Journal of Experimental & Theoretical Artificial Intelligence has been edited by K.P. Jantke.

Table of Contents

• K.P. Jantke. Editorial, 1.
• J. Case. Infinitary self-reference in learning theory, 3 - 16.
• J. Case, D.S. Rajan, and A.M. Shende. Spatial/kinematic domain and lattice computers, 17 - 40.
• R. Daley, B. Kalyanasundaram, and M. Velauthapillai. The power of probabilism in Popperian FINite learning, 41 - 62.
• R. Freivalds and A. Hoffmann. An inductive inference appraoch to classification, 63 - 72.
• S. Lange and T. Zeugmann. Characterization of language learning from informant under various monotonicity constraints, 73 - 94.
• N. Lavrac and S. Dzeroski. Weakening the language bias in LINUS, 95 - 120.
• S. Muggleton. Predicate invention and utilization, 121 - 130.
• R. Wiehagen and T. Zeugmann. Ignoring data may be the only way to learn efficiently, 131 - 144.

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