Genetically Programming Networks to Evolve Memory Mechanisms
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @InProceedings{silva:1999:GPNEMM,
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author = "Arlindo Silva and Ana Neves and Ernesto Costa",
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title = "Genetically Programming Networks to Evolve Memory
Mechanisms",
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booktitle = "Proceedings of the Genetic and Evolutionary
Computation Conference",
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year = "1999",
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editor = "Wolfgang Banzhaf and Jason Daida and
Agoston E. Eiben and Max H. Garzon and Vasant Honavar and
Mark Jakiela and Robert E. Smith",
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volume = "2",
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pages = "1448",
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address = "Orlando, Florida, USA",
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publisher_address = "San Francisco, CA 94104, USA",
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month = "13-17 " # jul,
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publisher = "Morgan Kaufmann",
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keywords = "genetic algorithms, genetic programming, artificial
life, adaptive behavior and agents, Genetically
Programmed Networks, GPN, GPN Neural Net, ANN, PDGP,
EP, Santa Fe Ant Problem, Tartarus Problem: poster",
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ISBN = "1-55860-611-4",
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URL = "http://gpbib.cs.ucl.ac.uk/gecco1999/AA-040.pdf",
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URL = "http://gpbib.cs.ucl.ac.uk/gecco1999/AA-040.ps",
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size = "1 page",
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abstract = "Many agents need memory to survive in their
environment or to solve some specific task. We present
an evolutionary approach to the development of agents
with memory. This approach is based on a form of
distributed genetic programming, named genetically
programmed networks. Memory mechanisms are implemented,
not by the program structure or some form of indexed
memory, but by the evolution of recurrent connections
between programs associated to the nodes of a
genetically programmed network.",
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notes = "GECCO-99 A joint meeting of the eighth international
conference on genetic algorithms (ICGA-99) and the
fourth annual genetic programming conference (GP-99)",
- }
Genetic Programming entries for
Arlindo Ferreira da Silva
Ana Paula Neves F Silva
Ernesto Costa
Citations