Jump to ContentJump to Main Navigation
Show Summary Details
More options …

Paladyn, Journal of Behavioral Robotics

Editor-in-Chief: Schöner, Gregor

1 Issue per year

Open Access
Online
ISSN
2081-4836
See all formats and pricing
More options …

Modelling Concept Prototype Competencies using a Developmental Memory Model

Paul Baxter / Joachim de Greeff / Rachel Wood
  • Intelligent Computer Systems, Faculty of Information & Communication Technology, University of Malta, Malta
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Tony Belpaeme
Published Online: 2013-04-15 | DOI: https://doi.org/10.2478/s13230-013-0105-9

Abstract

The use of concepts is fundamental to human-level cognition, but there remain a number of open questions as to the structures supporting this competence. Specifically, it has been shown that humans use concept prototypes, a flexible means of representing concepts such that it can be used both for categorisation and for similarity judgements. In the context of autonomous robotic agents, the processes by which such concept functionality could be acquired would be particularly useful, enabling flexible knowledge representation and application. This paper seeks to explore this issue of autonomous concept acquisition. By applying a set of structural and operational principles, that support a wide range of cognitive competencies, within a developmental framework, the intention is to explicitly embed the development of concepts into a wider framework of cognitive processing. Comparison with a benchmark concept modelling system shows that the proposed approach can account for a number of features, namely concept-based classification, and its extension to prototype-like functionality.

Keywords: Cognitive Architecture; Concept Development; Conceptual Spaces; DAIM; Distributed Associative Memory

References

  • [1] M. Bar, The proactive brain: using analogies and associations to generate predictions, Trends in cognitive sciences, vol. 11, no. 7, pp. 280–289, (2007)Web of ScienceGoogle Scholar

  • [2] P. Baxter, Foundations of a constructivist memory-based approach to cognitive robotics, PhD. Thesis, University of Reading, U.K., (2010)Google Scholar

  • [3] P. Baxter, J. de Greeff, R. Wood, T. Belpaeme, “And what is a Seasnake?”: Modelling the Acquisition of Concept Prototypes in a Developmental Framework, 2nd joint International Conference on Developmental Learning (ICDL) & Epigenetic Robotics, San Diego, USA, IEEE Press, (2012)Google Scholar

  • [4] P. Baxter and W. Browne, Memory as the substrate of cognition: a developmental cognitive robotics perspective, 10th International Conference on Epigenetic Robotics, pp. 19–26, (2010)Google Scholar

  • [5] P. Baxter, R. Wood, A. Morse, and T. Belpaeme, Memory-Centred Architectures: Perspectives on Human-level Cognitive Competencies, AAAI Fall 2011 Symposium on Cognitive Systems, pp. 26–33, (2011)Google Scholar

  • [6] H. Branigan, M. Pickering, J. Pearson and J. McLean, Linguistic alignment between people and computers, Journal of Pragmatics, vol. 42, no. 9, pp 2355–2368, (2010)Web of ScienceGoogle Scholar

  • [7] A. Burton, Learning new faces in an interactive activation and competition model, Visual Cognition, vol. 1, no. 2, pp. 313–348, (1994)CrossrefGoogle Scholar

  • [8] A. Chella, S. Gaglio, and R. Pirrone, Conceptual representations of actions for autonomous robots, Robotics and Autonomous Systems, vol. 34, no. 4, pp. 251–263, doi:10.1016/S0921-8890(00)00121-4, (2001)Web of ScienceCrossrefGoogle Scholar

  • [9] A. Frank and A. Asuncion, UCI Machine Learning Repository, http://archive.ics.uci.edu/ml (accessed 15/12/2012), Irvine, CA: University of California, School of Information and Computer Science, (2010)

  • [10] P. Gärdenfors, Conceptual Spaces: The Geometry of Thought, Cambridge, MA: MIT Press, (2000)Google Scholar

  • [11] P. Gärdenfors, and M. Warglien, Using Conceptual Spaces to Model Actions and Events, Journal of Semantics, doi:10.1093/jos/ffs007, (2012)CrossrefGoogle Scholar

  • [12] J. de Greeff, F. Delaunay, and T. Belpaeme, Human-Robot Interaction in Concept Acquisition: a computational model, International Conference on Development and Learning, pp. 1–6, (2009)Google Scholar

  • [13] J. de Greeff, F. Delaunay, and T. Belpaeme, Active robot learning with human tutelage, 2nd joint International Conference on Developmental Learning (ICDL) & Epigenetic Robotics, San Diego, USA, IEEE Press, (2012)Google Scholar

  • [14] M. Kiefer, and F. Pulvermuller, Conceptual representations in mind and brain: theoretical developments, current evidence and future directions, Cortex, vol. 48, no. 7, pp. 805–25. doi:10.1016/j.cortex.2011.04.006, (2012)Web of ScienceCrossrefGoogle Scholar

  • [15] R. Leech, D. Mareschal, and R. Cooper, Analogy as relational priming: a developmental and computational perspective on the origins of a complex cognitive skill, Behavioral and Brain Sciences, vol. 31, no. 4, pp. 357–78; discussion 378–414, (2008)Web of ScienceGoogle Scholar

  • [16] E. Margolis and S. Laurence, Concepts: Core Readings, MIT Press, (1999)Google Scholar

  • [17] J. McClelland and D. Rumelhart, An Interactive Activation Model of Context Effects in Letter Perception: Part 1, an account of basic findings, Psychological Review, vol. 88, no. 5, pp. 375–407, (1981)CrossrefGoogle Scholar

  • [18] C. McNorgan, J. Reid, and K. McRae, Integrating conceptual knowledge within and across representational modalities, Cognition, doi:10.1016/j.cognition.2010.10.017, (2010)PubMedCrossrefWeb of ScienceGoogle Scholar

  • [19] A. Morse, J. De Greeff, T. Belpaeme, and A. Cangelosi, Epigenetic Robotics Architecture (ERA), IEEE Transactions on Autonomous Mental Development, vol. 2, no. 4, pp. 325–339, (2010)Google Scholar

  • [20] G. Murphy, The Big Book of Concepts, MIT Press, (2002)Google Scholar

  • [21] R. Nosofsky, Attention, similarity, and the identification/categorization relationship, Journal of Experimental Psychology-General, vol. 115, no. 1, pp. 39–57, (1986)Google Scholar

  • [22] M. Pickering, and S. Garrod, Toward a mechanistic psychology of dialogue, The Behavioral and brain sciences, vol. 27, no. 2, pp 169–190, (2004)Google Scholar

  • [23] R. Pfeifer, M. Lungarella, and F. Iida, Self-organization, embodiment, and biologically inspired robotics, Science, vol. 318, no. 5853, pp 1088–1093, (2007)Web of ScienceGoogle Scholar

  • [24] E. Rosch, Natural categories, Cognitive Psychology, vol. 4, no. 3, pp. 328–350, (1973)CrossrefGoogle Scholar

  • [25] R. Shepard, Toward a universal law of generalization for psychological science, Science, vol. 237, no. 4820, pp. 1317–1323, (1987)Google Scholar

  • [26] F. Shic, and B. Scassellati, Pitfalls in the Modeling of Developmental Systems, International Journal of Humanoid Robotics, vol. 4, no. 2, pp. 435–454, doi:10.1142/S0219843607001084, (2007)CrossrefWeb of ScienceGoogle Scholar

  • [27] E. Smith and D. Medin, Categories and Concepts, vol. 4, Harvard University Press, (1981)Google Scholar

  • [28] L. Steels, The Talking Heads Experiment. Volume 1: Words and Meanings, Laboratorium, Antwerpen, (1999)Google Scholar

  • [29] R. Sun, Desiderata for cognitive architectures, Philosophical Psychology, vol. 17, no. 3, pp 341–373, (2004)CrossrefGoogle Scholar

  • [30] A. Thomaz, Socially Guided Machine Learning, PhD thesis, MIT, (2006)Google Scholar

  • [31] J. Weng, J. McClelland, A. Pentland, O. Sporns, I. Stockman, M. Sur, and E. Thelen, Autonomous mental development by robots and animals, Science, vol. 291, pp. 599–600, (2001)Google Scholar

  • [32] R. Wood, P. Baxter, and T. Belpaeme, A review of long-term memory in natural and synthetic systems, Adaptive Behavior, vol. 20, no. 2, pp. 81–103, (2012)Google Scholar

About the article

Received: 2012-12-16

Accepted: 2013-03-27

Published Online: 2013-04-15

Published in Print: 2012-12-01


Citation Information: Paladyn, Journal of Behavioral Robotics, Volume 3, Issue 4, Pages 200–208, ISSN (Online) 2081-4836, DOI: https://doi.org/10.2478/s13230-013-0105-9.

Export Citation

© Paul Baxter et al.. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. BY-NC-ND 3.0

Citing Articles

Here you can find all Crossref-listed publications in which this article is cited. If you would like to receive automatic email messages as soon as this article is cited in other publications, simply activate the “Citation Alert” on the top of this page.

[1]
Hande Celikkanat, Guner Orhan, and Sinan Kalkan
IEEE Transactions on Autonomous Mental Development, 2015, Volume 7, Number 2, Page 92
[2]
Paul E. Baxter, Joachim de Greeff, and Tony Belpaeme
Biologically Inspired Cognitive Architectures, 2013, Volume 6, Page 30

Comments (0)

Please log in or register to comment.
Log in