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Paladyn, Journal of Behavioral Robotics

Editor-in-Chief: Schöner, Gregor

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Parsing of action sequences: A neural dynamics approach

David Lobato
  • Vision Lab (LARSyS), FCT, University of the Algarve, Gambelas Campus, 8000 Faro, Portugal
/ Yulia Sandamirskaya
  • Institut für Neuroinformatik, Ruhr-Universität Bochum, 44780 Bochum, Germany
/ Mathis Richter
  • Institut für Neuroinformatik, Ruhr-Universität Bochum, 44780 Bochum, Germany
/ Gregor Schöner
  • Institut für Neuroinformatik, Ruhr-Universität Bochum, 44780 Bochum, Germany
Published Online: 2015-05-15 | DOI: https://doi.org/10.1515/pjbr-2015-0008

Abstract

Parsing of action sequences is the process of segmenting observed behavior into individual actions. In robotics, this process is critical for imitation learning from observation and for representing an observed behavior in a form that may be communicated to a human. In this paper, we develop a model for action parsing, based on our understanding of principles of grounded cognitive processes, such as perceptual decision making, behavioral organization, and memory formation.We present a neural-dynamic architecture, in which action sequences are parsed using a mathematical and conceptual framework for embodied cognition—the Dynamic Field Theory. In this framework, we introduce a novel mechanism, which allows us to detect and memorize actions that are extended in time and are parametrized by the target object of an action. The core properties of the architecture are demonstrated in a set of simple, proof-of-concept experiments.

Keywords : action parsing; sequence learning; elementary behaviors; dynamic neural fields

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About the article

Received: 2014-03-31

Accepted: 2015-01-09

Published Online: 2015-05-15



Citation Information: Paladyn, Journal of Behavioral Robotics, ISSN (Online) 2081-4836, DOI: https://doi.org/10.1515/pjbr-2015-0008. Export Citation

© 2015 David Lobato et al.. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. (CC BY-NC-ND 3.0)

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