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An Episodic Memory Retrieval Algorithm for the Soar Cognitive Architecture

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AI 2015: Advances in Artificial Intelligence (AI 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9457))

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Abstract

Episodic memory in cognitive architectures allows intelligent agents to query their past experiences to influence decision making. Episodic memory in the Soar cognitive architecture must efficiently encode, store, search and reconstruct episodes as snapshots of short term working memory. The performance of the current search algorithm can be improved by doing a structural match phase first on all stored data and enforcing arc consistency in the first stage of the structural match. We demonstrate experimentally the performance of the improved search algorithm in two Soar environments.

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Notes

  1. 1.

    http://soar.eecs.umich.edu/articles/downloads/domains/176-tanksoar.

  2. 2.

    Original version available: http://gabrielecirulli.github.io/2048/.

References

  1. Dechter, R.: Constraint Processing. Morgan Kaufmann, San Francisco (2003)

    MATH  Google Scholar 

  2. Derbinsky, N., Laird, J.E.: Efficiently implementing episodic memory. In: McGinty, L., Wilson, D.C. (eds.) ICCBR 2009. LNCS, vol. 5650, pp. 403–417. Springer, Heidelberg (2009)

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  3. Derbinsky, N.L.: Effective and efficient memory for generally intelligent agents. Ph.D. thesis, The University of Michigan (2012)

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  4. Laird, J.E.: Extending the soar cognitive architecture. Front. Artif. Intell. Appl. 171, 224 (2008)

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  5. Laird, J.E.: The Soar Cognitive Architecture. The MIT Press, Cambridge (2012)

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  6. Li, F.: epmemcsp (2015). https://github.com/fli/epmemcsp

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Author information

Authors and Affiliations

  1. School of Electrical and Electronic Engineering, University of Adelaide, Adelaide, SA, Australia

    Francis Li, Jesse Frost & Braden J. Phillips

Authors
  1. Francis Li
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  2. Jesse Frost
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  3. Braden J. Phillips
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Corresponding author

Correspondence to Francis Li .

Editor information

Editors and Affiliations

  1. The University of Waikato, Hamilton, New Zealand

    Bernhard Pfahringer

  2. The Australian National University, Canberra, Aust Capital Terr, Australia

    Jochen Renz

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© 2015 Springer International Publishing Switzerland

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Li, F., Frost, J., Phillips, B.J. (2015). An Episodic Memory Retrieval Algorithm for the Soar Cognitive Architecture. In: Pfahringer, B., Renz, J. (eds) AI 2015: Advances in Artificial Intelligence. AI 2015. Lecture Notes in Computer Science(), vol 9457. Springer, Cham. https://doi.org/10.1007/978-3-319-26350-2_30

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  • DOI: https://doi.org/10.1007/978-3-319-26350-2_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26349-6

  • Online ISBN: 978-3-319-26350-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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