The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
The particle swarm: social adaptation of knowledge
Abstract
Particle swarm adaptation is an optimization paradigm that simulates the ability of human societies to process knowledge. The algorithm models the exploration of a problem space by a population of individuals; individuals' successes influence their searches and those of their peers. The algorithm is relevant to cognition, in particular the representation of schematic knowledge in neural networks. Particle swarm optimization successfully optimizes network weights, simulating the adaptive sharing of representations among social collaborators. The paper introduces the algorithm, begins to develop a social science context for it, and explores some aspects of its functioning.
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Cites
A Theory of Cognitive Dissonance
Festinger, L. (1957) · doi:10.1515/9781503620766 · Cited by 24,241
Animal intelligence; experimental studies
Thorndike, E. L. (1911) · doi:10.5962/bhl.title.55072 · Cited by 1,100
Cited by
A discrete binary version of the particle swarm algorithm
Kennedy, J., & Eberhart, R. C. (2002) · 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation · doi:10.1109/icsmc.1997.637339 · Cited by 4,767
Self-citationA Competitive Swarm Optimizer for Large Scale Optimization
Cheng, R., & Jin, Y. (2015) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2014.2322602 · Cited by 1,052
A Hybrid of Genetic Algorithm and Particle Swarm Optimization for Recurrent Network Design
Juang, C.-F. (2004) · IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) · doi:10.1109/tsmcb.2003.818557 · Cited by 964
Bio inspired computing – A review of algorithms and scope of applications
Kar, A. K. (2016) · Expert Systems with Applications · doi:10.1016/j.eswa.2016.04.018 · Cited by 578
DEPSO: hybrid particle swarm with differential evolution operator
Zhang, W.-J., & Xie, X.-F. (2004) · SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483) · doi:10.1109/icsmc.2003.1244483 · Cited by 401
Metadata
- Authors
- Kennedy, J.
- Venue
- Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97)
- Publisher
- IEEE
- Published
- 2002-11-22
- Pages
- 303-308
- OpenAlex
- W2135646341
- Cited by
- 1,555
- References
- 2
- FWCI
- 33.98
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Kennedy, J. (2002). The particle swarm: social adaptation of knowledge. Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97). https://doi.org/10.1109/icec.1997.592326
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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.
