The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Associative search network: A reinforcement learning associative memory
Open accessAbstract
An associative memory system is presented which does not require a “teacher” to provide the desired associations. For each input key it conducts a search for the output pattern which optimizes an external payoff or reinforcement signal. The associative search network (ASN) combines pattern recognition and function optimization capabilities in a simple and effective way. We define the associative search problem, discuss conditions under which the associative search network is capable of solving it, and present results from computer simulations. The synthesis of sensory-motor control surfaces is discussed as an example of the associative search problem.
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Cites
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Self-citationNon-Holographic Associative Memory
WILLSHAW, D. J., BUNEMAN, O. P., & LONGUET-HIGGINS, H. C. (1969) · Nature · doi:10.1038/222960a0 · Cited by 979
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Associatron-A Model of Associative Memory
Nakano, K. (1972) · IEEE Transactions on Systems, Man, and Cybernetics · doi:10.1109/tsmc.1972.4309133 · Cited by 369
Cited by
Reinforcement Learning: An Introduction
(2005) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2004.842673 · Cited by 24,496
Ant colony system: a cooperative learning approach to the traveling salesman problem
Dorigo, M., & Gambardella, L. M. (1997) · IEEE Transactions on Evolutionary Computation · doi:10.1109/4235.585892 · Cited by 8,081
McClelland, J. L., McNaughton, B. L., & O'Reilly, R. C. (1995) · Psychological Review · doi:10.1037/0033-295x.102.3.419 · Cited by 5,256
Computing with Neural Circuits: A Model
Hopfield, J. J., & Tank, D. W. (1986) · Science · doi:10.1126/science.3755256 · Cited by 2,116
Simple statistical gradient-following algorithms for connectionist reinforcement learning
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Metadata
- Authors
- Barto, A. G., Sutton, R. S., & Brouwer, P. S.
- Venue
- Biological Cybernetics
- Published
- 1981-05
- Volume
- 40
- Issue
- 3
- Pages
- 201-211
- ISSN
- 0340-1200 (ISSN-L)
- 1432-0770
- OpenAlex
- W2102673654
- Cited by
- 242
- References
- 5
- FWCI
- 7.52
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
