Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations
Intelligence without representation
Artificial Intelligence
C4.5: programs for machine learning
C4.5: programs for machine learning
Real-world applications of Bayesian networks
Communications of the ACM
Artificial intelligence and scientific method
Artificial intelligence and scientific method
The robot's dilemma revisited
A Machine-Oriented Logic Based on the Resolution Principle
Journal of the ACM (JACM)
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
The Frame Problem in Artificial Intelligence: Proceedings of the 1987 Workshop April 12-15, 1987 Lawrence, Kansas
Robot's Dilemma: The Frame Problem in Artificial Intelligence
Robot's Dilemma: The Frame Problem in Artificial Intelligence
Learning Logical Definitions from Relations
Machine Learning
Inductive acquisition of expert knowledge
Inductive acquisition of expert knowledge
TINLAP '78 Proceedings of the 1978 workshop on Theoretical issues in natural language processing
A Mathematical Theory of Communication
A Mathematical Theory of Communication
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I analyze the frame problem and its relation to otherepistemological problems for artificial intelligence, such as the problem ofinduction, the qualification problem and the "general" AI problem. I disputethe claim that extensions to logic (default logic and circumscriptive logic)will ever offer a viable way out of the problem. In the discussion it willbecome clear that the original frame problem is really a fairy tale: asoriginally presented, and as tools for its solution are circumscribed by PatHayes, the problem is entertaining, but incapable of resolution. Thesolution to the frame problem becomes available, and even apparent, when weremove artificial restrictions on its treatment and understand theinterrelation between the frame problem and the many other problems forartificial epistemology. I present the solution to the frame problem: anadequate theory and method for the machine induction of causal structure.Whereas this solution is clearly satisfactory in principle, and in practicereal progress has been made in recent years in its application, its ultimateimplementation is in prospect only for future generations of AIresearchers.