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Goal Sequencing for Construction Agents in a Simulated Environment

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Book cover Artificial Neural Networks — ICANN 2002 (ICANN 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2415))

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Abstract

A connectionist architecture enables a society of agents to efficiently construct 2D structures. The agents use internal spatial maps to compute a sequence of construction actions that reduces total distance traveled. All computations are done over grids of neurons interacting locally. Simulation results are presented.

This work supported in part by an Intel University Research Program grant to the second author.

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Author information

Authors and Affiliations

  1. Computer Science Department, University of California at Los Angeles, Los Angeles, CA, 90095, USA

    Anand Panangadan & Michael G. Dyer

Authors
  1. Anand Panangadan
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  2. Michael G. Dyer
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Editor information

Editors and Affiliations

  1. ETS Informática, Universidad Autónoma de Madrid, 28049, Madrid, Spain

    José R. Dorronsoro

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© 2002 Springer-Verlag Berlin Heidelberg

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Panangadan, A., Dyer, M.G. (2002). Goal Sequencing for Construction Agents in a Simulated Environment. In: Dorronsoro, J.R. (eds) Artificial Neural Networks — ICANN 2002. ICANN 2002. Lecture Notes in Computer Science, vol 2415. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46084-5_157

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  • DOI: https://doi.org/10.1007/3-540-46084-5_157

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44074-1

  • Online ISBN: 978-3-540-46084-8

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