Social Learning in Population-Based Adaptive Systems
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{Haasdijk:2008:cec,
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author = "E. Haasdijk and P. Vogt and A. E. Eiben",
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title = "Social Learning in Population-Based Adaptive Systems",
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booktitle = "2008 IEEE World Congress on Computational
Intelligence",
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year = "2008",
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editor = "Jun Wang",
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pages = "1386--1392",
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address = "Hong Kong",
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month = "1-6 " # jun,
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organization = "IEEE Computational Intelligence Society",
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publisher = "IEEE Press",
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isbn13 = "978-1-4244-1823-7",
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file = "EC0363.pdf",
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DOI = "doi:10.1109/CEC.2008.4630975",
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abstract = "The subject of the present investigation is
Population-based Adaptive Systems (PAS), as implemented
in the NEW TIES platform. In many existing PASs two
adaptation mechanisms are combined, (non-Lamarckian)
evolution and individual learning, inevitably raising
the issue of `forgetful populations': individually
learnt knowledge disappears when the individual that
learnt it dies. We propose social learning by explicit
knowledge transfer to overcome this problem. Our
mechanism is based on (1) direct communication among
agents in the population, (2) messages carrying rules
that the sender agent uses in its controller, and (3)
the ability of the recipient agent to incorporate
foreign rules into its controller. Thus, knowledge can
be disseminated and multiplied within the same
generation, making the population a knowledge reservoir
for individually acquired knowledge. We present an
initial assessment of this idea and show that this
social mechanism is capable of efficiently distributing
knowledge and improving the performance of the
population.",
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keywords = "genetic algorithms, genetic programming",
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notes = "WCCI 2008 - A joint meeting of the IEEE, the INNS, the
EPS and the IET.",
- }
Genetic Programming entries for
Evert Haasdijk
Paul A Vogt
Gusz Eiben
Citations