C4.5: programs for machine learning
C4.5: programs for machine learning
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Readings in Machine Learning
ALT '01 Proceedings of the 12th International Conference on Algorithmic Learning Theory
STRIPS: a new approach to the application of theorem proving to problem solving
IJCAI'71 Proceedings of the 2nd international joint conference on Artificial intelligence
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One serious issue for building an autonomous agent is that an agent does not understand the environment in which it is situated. To understand the world, the agent's perception should be obtained directly from its own sensors instead of being provided indirectly by a human. Cohen suggests a physical schema as a conceptual primitive which enables an agent to percept a pattern directly. Cohen demonstrates that physical schema can be learned through the agent's own sensorimotor activities. We propose negation as a conceptual promitive which enables an agent to regognize a schema itself. We also propose that emotive schema is necessary for building an autonomous agent as shown in tha area of planning.