Abstract
Swarming intelligence (SI) is the property of a system whereby the collective behaviors of (unsophisticated) agents interacting locally with their environment cause coherent global patterns to emerge. Because there are no central processing requirements, SI is ideal for parallelization, which lends it well to hardware implementations in many inexpensive processors. Several implementations in hardware that exploit this property for rapid calculation and inexpensive construction are highlighted in this paper to provide a good starting point for developing hardware platforms for SI algorithms.
Recommended Citation
C. E. Johnson et al., "Hardware Implementations of Swarming Intelligence -- A Survey," Proceedings of the 2008 IEEE Swarm Intelligence Symposium (2008, St. Louis, MO), Institute of Electrical and Electronics Engineers (IEEE), Sep 2008.
The definitive version is available at https://doi.org/10.1109/SIS.2008.4668331
Meeting Name
2008 IEEE Swarm Intelligence Symposium (2008, St. Louis, MO)
Department(s)
Electrical and Computer Engineering
Sponsor(s)
National Science Foundation (U.S.)
United States. Department of Education
Keywords and Phrases
Artificial Intelligence; Grid Computing
Document Type
Article - Conference proceedings
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2008 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Sep 2008
