List of contents of
Artificial Intelligence Journal
Volume 101
- j-aij-101-1
- A. Bochman:
On the relation between default and modal nonmonotonic reasoning.
Pages 1-34.
- j-aij-101-35
- A. Gelsey, M Schwabacher, D, and Smith:
Using modeling knowledge to guide design space search.
Pages 35-62.
- j-aij-101-63
- C. Leckie and I. Zukerman:
Inductive learning of search control rules for planning.
Pages 63-98.
- j-aij-101-99
- L.P. Kaelbling, M.L. Littman, and A.R. Cassandra:
Planning and acting in partially observable stochastic domains.
Pages 99-134.
- j-aij-101-135
- O. Varis:
A belief network approach to optimization and parameter estimation.
Pages 135-163.
- j-aij-101-165
- O. Shehory and S Kraus:
Methods for task allocation via agent coalition formation.
Pages 165-200.
- j-aij-101-201
- F. Lin and H.J. Levesque:
What robots can do: robot programs and effective achievability.
Pages 201-226.
- j-aij-101-227
- A.Y. Levy and M.-C. Rousset:
Verification of knowledge bases based on containment checking.
Pages 227-250.
- j-aij-101-251
- P. Jeavons, D. Cohen, and M.C. Cooper:
Constraints, consistency and closure (Research note).
Pages 251-265.
- j-aij-101-267
- S. Argamon-Engelson, S. Kraus, and S. Sina:
Utility-based on-line exploration for repeated navigation in an embedded graph (Research note).
Pages 267-284.
- j-aij-101-285
- H. Blockeel and L. De Raedt:
Top-down induction of first-order logical decision trees (Research note).
Pages 285-297.
30-Jul-97 12:05