AGSC Symbol Grounding

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1. Grounding language in action and perception: From cognitive agents to humanoid robots.

   Angelo Cangelosi in Physics of life reviews (2010)

   In this review we concentrate on a grounded approach to the modeling of cognition through the methodologies of cognitive agents and developmental robotics. This work will focus on the modeling of the evolutionary and developmental acquisition of…

   Added 1 week ago 23 readers
2. Semantics, conceptual spaces, and the meeting of minds

   Massimo Warglien, Peter Gärdenfors in Synthese (2011)

   Added 2012-04-23 4 readers
3. Grounded cognition.

   Lawrence W Barsalou in Annual review of psychology (2008)

   Grounded cognition rejects traditional views that cognition is computation on amodal symbols in a modular system, independent of the brain's modal systems for perception, action, and introspection. Instead, grounded cognition proposes that modal…

   Added 2012-04-23 340 readers
4. Epigenetic Robotics Architecture (ERA)

   Anthony F. Morse, Joachim de Greeff, Tony Belpeame, Angelo Cangelosi in IEEE Transactions on Autonomous Mental Development (2010)

   Added 2012-04-23 14 readers
5. A grounding framework

   Mary-Anne Williams, John McCarthy, Peter Gärdenfors, Christopher Stanton, Alankar Karol in Autonomous Agents and Multi-Agent Systems (2009)

   Added 2012-03-12 7 readers
6. Semantics Based on Conceptual Spaces

   Peter Gärdenfors (2011)

   Added 2012-03-12 5 readers
7. Semantics, conceptual spaces, and the meeting of minds

   Massimo Warglien, Peter Gärdenfors in Synthese (2011)

   Added 2012-03-12 4 readers
8. An empirical generative framework for computational modeling of language acquisition.

   Heidi R Waterfall, Ben Sandbank, Luca Onnis, Shimon Edelman in Journal of Child Language (2010)

   This paper reports progress in developing a computer model of language acquisition in the form of (1) a generative grammar that is (2) algorithmically learnable from realistic corpus data, (3) viable in its large-scale quantitative performance and…

   Added 2011-04-04 15 readers
9. Simulating the Evolution of Language

   (2002)

   Added 2011-04-04 14 readers
10. Learning words from sights and sounds: a computational model

    Deb K. Roy, Alex P. Pentland in Cognitive Science (2002)

    Added 2011-04-04 55 readers
11. Scripts, Plans, Goals, and Understanding

    R.C. Schank, R. Abelson (1977)

    Added 2011-04-04 1 reader
12. Learning Syntactic Constructions from Raw Corpora The ADIOS algorithm for grammar induction

    Shimon Edelman, Zach Solan, David Horn, Eytan Ruppin, Van Zaanen in Proc. of the 29th Boston University Conference on Language Development (2004)

    Added 2011-04-04 14 readers
13. The Case for Case

    Charles J. Fillmore in Universals in Linguistic Theory (1968)

    Added 2011-04-04 21 readers
14. Cross-situational learning: a mathematical approach

    K. Smith, A. Smith, R. Blythe, Paul Vogt in Symbol grounding and beyond (2006)

    Added 2011-02-16 9 readers
15. A computational study of cross-situational techniques for learning word-to-meaning mappings.

    J M Siskind in Cognition (1996)

    This paper presents a computational study of part of the lexical-acquisition task faced by children, namely the acquisition of word-to-meaning mappings. It first approximates this task as a formal mathematical problem. It then presents an…

    Added 2011-02-16 44 readers
16. Automatic learning and generation of social behavior from collective human gameplay

    J. Orkin, D. Roy in Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems-Volume 1 (2009)

    Added 2011-02-16 18 readers
17. Learning to talk about events from narrated video in a construction grammar framework

    P Dominey, J Boucher in Artificial Intelligence (2005)

    Added 2011-02-16 19 readers
18. The emergence of compositional structures in perceptually grounded language games

    P Vogt in Artificial Intelligence (2005)

    Added 2011-02-16 23 readers
19. Unsupervised learning of natural languages.

    Zach Solan, David Horn, Eytan Ruppin, Shimon Edelman in Proceedings of the National Academy of Sciences of the United States of America (2005)

    We address the problem, fundamental to linguistics, bioinformatics, and certain other disciplines, of using corpora of raw symbolic sequential data to infer underlying rules that govern their production. Given a corpus of strings (such as text,…

    Added 2011-02-16 67 readers
20. Reinforcement learning for mapping instructions to actions

    S. R. K. Branavan, Harr Chen, Luke S. Zettlemoyer, Regina Barzilay in Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - ACL-IJCNLP '09 (2009)

    Added 2011-02-16 53 readers

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