1. Predicative programming

   • Wolfgang Bibel

   Preface Pages: 275 - 276

2. Introduction: Special issue on algorithmic learning theory

   • Setsuo Arikawa
   • Klaus P. Jantke
   • Takashi Yokomori

   Special Issue Pages: 277 - 280

3. Mathematical theory of neural learning

   • Shun-ichi Amari

   Special Issue Pages: 281 - 294

4. Inductive logic programming

   • Stephen Muggleton

   Special Issue Pages: 295 - 318

5. Learning commutative deterministic finite state automata in polynomial time

   • Naoki Abe

   Special Issue Pages: 319 - 335

6. Teachability in computational learning

   • Ayumi Shinohara
   • Satoru Miyano

   Special Issue Pages: 337 - 347

7. Monotonic and non-monotonic inductive inference

   • Klaus P. Jantke

   Special Issue Pages: 349 - 360

8. Polynomial-time inference of arbitrary pattern languages

   • Steffen Lange
   • Rolf Wiehagen

   Special Issue Pages: 361 - 370

9. Inductive inference of monotonic formal systems from positive data

   • Takeshi Shinohara

   Special Issue Pages: 371 - 384

10. On the role of interpretive analogy in learning

    • Bipin Indurkhya

    Special Issue Pages: 385 - 402

11. Synthesis of rewrite programs by higher-order and semantic unification

    • Masami Hagiya

    Special Issue Pages: 403 - 420