Integrating marker-passing and problem-solving: a spreading-activation approach to improved choice in planning
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
The Architecture of Cognition
AFL-1: A Programming Language for Massively Concurrent Computers
AFL-1: A Programming Language for Massively Concurrent Computers
A connectionist approach to word sense disambiguation (natural language processing, artificial intelligence, neural networks, cognitive modeling, aphasia)
Evidential reasoning in semantic networks: a formal theory and its parallel implementation (inheritance, categorization, connectionism, knowledge representation)
Neural computation in medicine
Artificial Intelligence in Medicine
| Hi-index | 0.00 |
The cognitive modeling community is presently divided between two different approaches to the spread of activation through networks. One school holds that symbolic information must be progagated, the other that numeric weights are used and activation spreads in a more analog manner. In this paper we describe a mechanism which allows the two processes to be merged via the introduction into the symbolic network of a defining-characteristic link which is affects the spread of the symbolic information in a manner resembling local connectionist computations. We demonstrate that the combined system is more powerful than either of the separate models alone.