Editorial Board
Learning in mathematically-based domains: Understanding and generalizing obstacle cancellations
Maximizing the predictive value of production rules
Qualitative physics using dimensional analysis
Automated program recognition: A feasibility demonstration
Explaining and repairing plans that fail
Concept learning and heuristic classification in weak-theory domains
Quantifying inductive bias: AI learning algorithms and valiant's learning framework: D. Haussler [Artificial Intelligence 36 (1988) 177–221]
Announcements
Forthcoming papersicial Intelligence 36 (1988) 177–221]