A distributed connectionist production system

Cognitive Science

Volumn 12, Issue 3, 1988, Pages 423-466

  Touretzky, David S ^a   Hinton, Geoffrey E ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0001069351     PISSN: 03640213     EISSN: None     Source Type: Journal    
DOI: 10.1016/0364-0213(88)90029-8     Document Type: Article

References (26)

1. A learning algorithm for Boltzmann machines
2. Parallel logical inference
3. Parallel logical inference and energy minimization
4. On short-term information processing in connectionist theories
5. Is distributed connectionism compatible with the physical symbol system hypothesis?
6. Connectionist models and their properties
7. Neural representation of conceptual knowledge
8. Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images
9. A parallel computation that assigns canonical object-based frames of reference
10. Shape representation in parallel systems
11. Implementing semantic networks in parallel hardware
12. Learning distributed representations of concepts
13. Distributed representations
14. Neural networks and physical systems with emergent collective computional abilities
15. Molecular biology of memory: Modulation of transmitter release
16. Optimization by simulated annealing
17. Probabilistic solution of inverse problems
18. The perception of multiple objects: A parallel, distributed processing approach
19. Harpy, production systems and human cognition
20. A new approach to synaptic interactions
21. Neurons in the cortex of the temporal lobe and in the amygdala of the monkey with responses selective to faces
22. Scaling properties of coarse-coded symbol memories
23. BoltzCONS: Reconciling connectionism with the recursive nature of stacks and trees
24. Representing and transforming recursive objects in a neural network, or “Trees do grow on Boltzmann machines”