1. Special issue on algorithmic learning theory

   • Koichi Furukawa
   • Takeshi Shinohara
   • Yuji Takada

   Preface Pages: 319 - 320

2. From inductive inference to algorithmic learning theory

   • Rolf Wiehagen

   Special Issue Pages: 321 - 335

3. The query complexity of learning DFA

   • José L. Balcázar
   • Josep Díaz
   • Osamu Watanabe

   Special Issue Pages: 337 - 358

4. On PAC learnability of functional dependencies

   • Tatsuya Akutsu
   • Atsuhiro Takasu

   Special Issue Pages: 359 - 374

5. Iterative weighted least squares algorithms for neural networks classifiers

   • Takio Kurita

   Special Issue Pages: 375 - 394

6. Domains of attraction in autoassociative memory networks

   • Koichi Niijima

   Special Issue Pages: 395 - 407

7. Planning with abstraction based on partial predicate mappings

   • Yoshiaki Okubo
   • Makoto Haraguchi

   Special Issue Pages: 409 - 437