A Framework for Representing Knowledge
A Framework for Representing Knowledge
Toward A Model Of Children''s Story Comprehension
Toward A Model Of Children''s Story Comprehension
Primitive concepts underlying verbs of thought.
Primitive concepts underlying verbs of thought.
Conceptual memory: a theory and computer program for processing the meaning content of natural-language utterances.
Problem-Solving Methods in Artificial Intelligence
Problem-Solving Methods in Artificial Intelligence
The reasoner and the inferencer don't talk much to each other
TINLAP '75 Proceedings of the 1975 workshop on Theoretical issues in natural language processing
Understanding scene descriptions as event simulations
ACL '80 Proceedings of the 18th annual meeting on Association for Computational Linguistics
ACL '81 Proceedings of the 19th annual meeting on Association for Computational Linguistics
ACM SIGART Bulletin
ACM SIGART Bulletin
Levels of pattern description in learning
IJCAI'77 Proceedings of the 5th international joint conference on Artificial intelligence - Volume 2
Toward a detailed model of processing for language describing the physical world
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 1
Language comprehension in a problem solver
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 1
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 1
A comprehension model for human dialogue
IJCAI'77 Proceedings of the 5th international joint conference on Artificial intelligence - Volume 1
The declarative representation and procedural simulation of causality in physical mechanisms
IJCAI'77 Proceedings of the 5th international joint conference on Artificial intelligence - Volume 1
Conceptual overlays: a mechanism for the interpretation of sentence meaning in context
IJCAI'75 Proceedings of the 4th international joint conference on Artificial intelligence - Volume 1
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The notion of a commonsense algorithm is presented as a basic data structure for modeling human cognition. This data structure unifies many current ideas about human memory and information processing. The structure is defined by specifying a set of proposed cognitive primitive links which, when used to build up large structures of actions, states, statechanges and tendencies, provide an adequate formalism for expressing human plans and activities, as well as general mechanisms and computer algorithms. The commonsense algorithm is a type of framework (as Minsky has defined the term) for representing algorithmic processes, hopefully the way humans do.