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Artificial development of connections in SHRUTI networks using a multi objective genetic algorithm

Published: 06 July 2013 Publication History

Abstract

SHRUTI is a model of how first-order logic can be represented and reasoned upon using a network of spiking neurons in an attempt to model the brain's ability to perform reasoning. This paper extends the biological plausibility of the SHRUTI model by presenting a genotype representation of connections in a SHRUTI network using indirect encoding and showing that networks represented in this way can be generated by an evolutionary process.

References

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A. Chavoya. Artificial Development, pages 185--215. Studies in Computational Intelligence. Springer, 2009.
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K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan. A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 6(2):182--197, 2002.
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B. Hammer and P. Hitzler. Perspectives of Neural-Symbolic Integration. Springer, Berlin, 2007.
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D. O. Hebb. The Organization of Behavior: A neuropsychological theory. Wiley, New York, 1949.
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A. Kumar, S. Rotter, and A. Aertsen. Spiking activity propagation in neuronal networks: reconciling different perspectives on neural coding. Nature Reviews Neuroscience, 11(9), 2010.
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L. Shastri. Advances in SHRUTI - a neurally motivated model of relational knowledge representation and rapid inference using temporal synchrony. Applied Intelligence, 11:79--108, 1999.
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L. Shastri and C. Wendelken. Learning structured representations. Neurocomputing, 52--54:363--370, 2003.
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J. Townsend, E. Keedwell, and A. Galton. A scalable genome representation for neural-symbolic networks. Birmingham, 2012. 1st NICA symposium at the AISB/IACAP World Congress 2012.

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  1. Artificial development of connections in SHRUTI networks using a multi objective genetic algorithm

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    cover image ACM Conferences
    GECCO '13 Companion: Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
    July 2013
    1798 pages
    ISBN:9781450319645
    DOI:10.1145/2464576
    • Editor:
    • Christian Blum,
    • General Chair:
    • Enrique Alba
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    New York, NY, United States

    Publication History

    Published: 06 July 2013

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    Author Tags

    1. artificial development
    2. indirect encoding
    3. neural-symbolic integration
    4. shruti

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    GECCO '13
    Sponsor:
    GECCO '13: Genetic and Evolutionary Computation Conference
    July 6 - 10, 2013
    Amsterdam, The Netherlands

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    Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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