Epigenetic robotics architecture (ERA)

IEEE Transactions on Autonomous Mental Development

Volumn 2, Issue 4, 2010, Pages 325-339

  Morse, Anthony F ^a   De Greeff, Joachim ^a   Belpeame, Tony ^a   Cangelosi, Angelo ^a  

^a UNIVERSITY OF PLYMOUTH   (United Kingdom)

Author keywords

Cognitive robotics architecture; concept use; conceptual learning through development; ongoing development; scalable and generality; transparent modeling; using robots to study development and learning

Indexed keywords

COGNITIVE ROBOTICS; CONCEPT USE; CONCEPTUAL LEARNING; ONGOING DEVELOPMENT; SCALABLE AND GENERALITY; TRANSPARENT MODELING; USING ROBOTS TO STUDY DEVELOPMENT AND LEARNING;

COGNITIVE SYSTEMS; ROBOTICS; ROBOTS;

ARCHITECTURE;

EID: 78650142700     PISSN: 19430604     EISSN: None     Source Type: Journal    
DOI: 10.1109/TAMD.2010.2087020     Document Type: Article

References (71)

1. A. Clark Supersizing the Mind: Embodiment, Action, and Cognitive Extension. London, U.K.: Oxford Univ. Press, 2008.
2. K. L. Downing, "Neuroscientific implications for situated and embodied artificial intelligence," Connect. Sci., vol. 19, no. 1, pp. 75-104, 2007.
3. V. Gallese and G. Lakoff, "The brain's concepts: The role of the sensory-motor system in reason and language," Cogn. Neuropsychol., vol. 22, pp. 455-479, 2005.
4. A. Newell, "You can't play 20 questions with nature and win: Projective comments on the papers of this symposium," in Vis. Inform. Process. New York: Academic, 1973, pp. 135-183.
5. A. Noë Action in Perception. Cambridge, Mass: MIT Press, 2004.
6. S. Harnad Symbol Grounding Problem Physica D, vol. 42, no. 1-3, pp. 335-346, 1990.
7. T. Ziemke, "Rethinking grounding," Understand. Rep. Cogn. Sci., pp. 177-190, 1999.
8. R. A. Brooks, "A robust layered control system for a mobile robot," IEEE J. Robot. Autom., vol. 2, no. 1, pp. 14-23, 1986.
9. R. D. Beer, "Dynamical approaches to cognitive science," Trends Cogn. Sci., vol. 4, no. 3, pp. 91-99, 2000.
10. T. Van Gelder, "The dynamical hypothesis in cognitive science," Behav. Brain Sci., vol. 21, no. 5, pp. 615-628, 1998.
11. J. C. Bongard, "Incremental Approaches to the Combined Evolution of a Robot's Body and Brain," Ph.D. thesis, Faculty of Mathematics and Science, Univ. Zurich, Zurich, Switzerland, 2003.
12. R. Pfeifer, J. Bongard, and S. Grand How the Body Shapes the Way We Think: A New View of Intelligence. Cambridge, MA: MIT Press, 2007.
13. S. Collins, A. Ruina, R. Tedrake, and M. Wisse, "Efficient bipedal robots based on passive-dynamic walkers," Science, vol. 307, no. 5712, p. 1082, 2005.
14. A. Clark and D. J. Chalmers, "The extended mind," Analysis, vol. 58, pp. 10-23, 1998.
15. S. Oyama Evolution's Eye: A Systems View of the Biology-Culture Divide. Durham, NC: Duke Univ. Press, 2000.
16. S. Oyama The Ontogeny of Information: Developmental Systems and Evolution. Durham, NC: Duke Univ. Press, 2000.
17. S. R. Harnad Categorical Perception: The Groundwork of Cognition. Cambridge, U.K.: Cambridge Univ Press, 1990.
18. A. M. Glenberg and M. P. Kaschak, "Grounding language in action," Psychonomic Bulletin Rev., vol. 9, no. 3, pp. 558-565, 2002.
19. J. Parthemore and A. F. Morse, "Reclaiming symbols: An enactive account of the inter-dependence of concepts and experience," Pragmatic. Cogn., vol. 18, no. 1, 2010.
20. A. Karmiloff-Smith, "Why Babies' Brains Are Not Swiss Army Knives," in Alas, Poor Darwin, H. Rose and S. Rose, Eds. London, U.K.: Jonathan Cape, 2000, pp. 144-156.
21. J. Sharma, A. Angelucci, and M. Sur, "Induction of visual orientation modules in auditory cortex," Nature, vol. 404, pp. 841-847, 2000.
22. A. Noë Out of Our Heads. New York: Hill & Wang, 2009.
23. K. O'Regan and A. Noë, "A sensorimotor account of visual perception and consciousness," Behav. Brain Sci., vol. 24, pp. 939-1011, 2001.
24. J. J. Gibson The Ecological Approach to Visual Perception. Boston, MA: Houghton Mifflin, 1979.
25. L. W. Barsalou, P. M. Niedenthal, A. K. Barbey, and J. A. Ruppert, "Social embodiment," Psychol. Learn. Motivation: Adv. Res. Theory, vol. 43, pp. 43-92, 2003.
26. F. Strack, L. L. Martin, and S. Stepper, "Inhibiting and facilitating conditions of the human smile: A nonobtrusive test of the facial feedback hypothesis," J. Personality Social Psychol., vol. 54, no. 5, pp. 768-777, 1988.
27. M. Chen and J. A. Bargh, "Consequences of automatic evaluation: Immediate behavioral predispositions to approach or avoid the stimulus," Personality Social Psychol. Bulletin, vol. 25, no. 2, p. 215, 1999.
28. L. B. Smith and L. Samuelson, "Objects in space and mind: From reaching to words," in Thinking Through Space: Spatial Foundations of Language and Cognition, K. Mix, L. B. Smith, and M. Gasser, Eds. London, U.K.: Oxford Univ. Press, 2010.
29. P. Gärdenfors Conceptual Spaces: The Geometry of Thought. Cambridge, MA: MIT Press, 2004.
30. E. Rosch, "On the internal structure of perceptual and semantic categories," Cogn. Develop. Acquisition Lang., vol. 12, p. 308, 1973.
31. T. Kohonen, "The self-organizing map," Neurocomputing, vol. 21, no. 1-3, pp. 1-6, 1998.
32. V. Bruce, A. M. Burton, and I. Craw, "Modelling face recognition," Philosoph. Trans. Roy. Soc., B, 335, 121, vol. 128, 1992.
33. A. M. Burton, "Learning new faces in an interactive activation and competition model," Vis. Cogn., vol. 1, no. 2, pp. 313-348, 1994.
34. A. M. Burton, V. Bruce, and P. J. B. Hancock, "From pixels to people: A model of familiar face recognition," Cogn. Sci., vol. 23, no. 1, pp. 1-31, 1999.
35. G. Westerman and E. R. Miranda, "Modelling the development of mirror neurons for auditory-motor integration," J. New Music Res., vol. 31, pp. 367-375, 2003.
36. P. Li, I. Farkas, and B. MacWhinney, "Early lexical development in a self-organizing neural network," Neural Netw., vol. 17, no. 8-9, pp. 1345-1362, 2004.
37. P. Li, X. Zhao, and B. MacWhinney, "Dynamic self-organization and early lexical development in children," Cogn. Sci., vol. 31, no. 4, pp. 581-612, 2007.
38. J. Mayor and K. Plunkett, "A neurocomputational account of taxanomic responding and fast mapping in early word learning," Psychol. Rev., vol. 117, no. 1, pp. 1-31, 2010.
39. D. Caligiore, A. Borghi, D. Parisi, and G. Baldassarre, "TRoPICALS: An embodied newural-network model of experiments on compatibility effects," Psychol. Rev., 2010.
40. A. Clark Microcognition: Philosophy, Cognitive Science, and Parallel Distributed Processing. Cambridge, MA: MIT Press, 1991.
41. M. Page, "Connectionist modelling in psychology: A localist manifesto," Behav. Brain Sci., vol. 23, no. 04, pp. 443-467, 2001.
42. A. F. Morse, T. Belpaeme, A. Cangelosi, and L. B. Smith, "Thinking with your body: Modelling spatial biases in categorization using a real humanoid robot," in 32nd Annu. Conf. Cogn. Sci. Soc., Portland, OR, 2010.
43. J. Piaget The Origins of Intelligence in Children. New York: Norton, 1963.
44. D. A. Baldwin, "Early referential understanding: Infant's ability to recognize referential acts for what they are," Develop. Psychol., vol. 29, pp. 832-843, 1993.
45. G. Metta, G. Sandini, D. Vernon, L. Natale, and F. Nori, "The iCub humanoid robot: An open platform for research in embodied cognition," in Proc. IEEE Workshop Perform. Metrics Intell. Syst., Washington, DC, 2008.
46. V. Tikhanoff, A. Cangelosi, P. Fitzpatrick, G. Metta, L. Natale, and F. Nori, "An open-source simulator for cognitive robotics research: The prototype of the icub humanoid robot simulator," in Proc. IEEE Workshop Perform. Metrics Intell. Syst., Washington, D. C., 2008.
47. M. J. Frank, L. C. Seeberger, and R. C. O'Reilly, "By carrot or by stick: Cognitive reinforcement learning in Parkinsonism," Science, vol. 306, no. 5703, p. 1940, 2004.
48. J. Hawkins and S. Blakeslee On Intelligence. New York: Times Books, 2004.
49. J. Tani, "On the interactions between top-down anticipation and bottom-up regression," Frontiers Neurorobot., vol. 1, 2007.
50. T. J. Prescott, "Forced moves or good tricks in design space? Landmarks in the evolution of neural mechanisms for action selection," Adapt. Behav., vol. 15, pp. 9-31, 2007.
51. E. G. Jones and T. P. S. Powell, "An anatomical study of converging sensory pathways within the cerebral cortex of the monkey," J. Anatomy, vol. 93, pp. 793-820, 1970.
52. M. W. Brown and J. P. Aggleton, "Recognition memory: What are the roles of the perirhinal cortex and hippocampus?," Nature Rev. Neurosci., vol. 2, pp. 51-61, 2001.
53. L. W. Swanson Brain Arch. Understanding the Basic Plan. London, U.K.: Oxford Univ. Press, 2003.
54. K. L. Downing, "Predictive models in the brain," Connect. Sci., 2008.
55. J. L. McClelland and D. E. Rumelhart, "An interactive activation model of context effects in letter perception: Part 1. An account of basic findings," Psychol. Rev., vol. 88, p. 375407, 1981.
56. J. L. McClelland, D. E. Rumelhart, and T. P. R. Group Parallel Distributed Processing: Psychological and Biological Models. Cambridge, MA: MIT Press, 1986.
57. S. Fidler, G. Berginc, and A. Leonardis, "Hierarchical statistical learning of generic parts of object structure," in Proc. IEEE Conf. Comput. Vis. Pattern Recogn., New York, 2006.
58. S. Fidler and A. Leonardis, "Towards scalable representations of object categories: Learning a hierarchy of parts," in Proc. IEEE Conf. Comput. Vis. Pattern Recogn., Minneapolis, MN, 2007.
59. J. J. Hopfield, "Neural networks and physical systems with emergent collective computational abilities," Proc. Nat. Acad. Sci., vol. 79, no. 8, p. 2554, 1982.
60. A. Karmiloff-Smith, "Development itself is the key to understanding developmental disorders," Trends Cogn. Sci., vol. 2, no. 10, pp. 389-398, 1998.
61. A. Karmiloff-Smith, J. H. Brown, S. Grice, and S. Paterson, "Dethroning the myth: Cognitive dissociations and innate modularity in Williams syndrome," Develop. Neuropsychol., vol. 23, no. 1&2, pp. 227-242, 2003.
62. M. D. Humphries, R. D. Stewart, and K. N. Gurney, "A physiologically plausible model of action selection and oscillatory activity in the basal ganglia," J. Neurosci., vol. 26, no. 50, p. 12921, 2006.
63. V. B. Mountcastle, "An Organizing Principle for Cerebral Function: The Unit Model and the Distributed System," in The Mindful Brain, Edelman and Mountcastle, Eds. Cambridge, MA: MIT Press, 1978.
64. A. Gupta, G. Silberber, M. Toledo-Rodriguez, C. Z. Wu, Y. Wang, and H. Markram, "Organizing principles of neocortical microcircuits," Cellular Molecular Life Sci., 2002.
65. H. Markram, Y. Wang, and M. Tsodyks, "Differential signaling via the same axon of neocortical pyramidal neurons," Nat. Acad. Sci., pp. 5323-5328, 1998.
66. W. Maass, T. Natschlager, and H. Markram, "Real-time computing without stable states: A new framework for neural computation based on perturbations," Neural Comput., vol. 14, no. 11, pp. 2531-2560, 2002.
67. H. Jaeger, "Tutorial on training recurrent neural networks, covering BPTT, RTRL, EKF and the "echo state network" approach," GMDForschungszentrum Informationstechnik 2002.
68. W. Maass, T. Natschlager, and H. Markram, "A Model for Real-Time Computation in Generic Neural Microcircuits," in Advances in Neural Information Processing Systems 15. Cambridge, MA: MIT Press, 2003, pp. 213-220.
69. A. F. Morse, R. Lowe, and T. Ziemke, "Manipulating space: Modelling the role of transient dynamics in inattentional blindness," Connect. Sci., vol. 21, no. 4, pp. 275-295, 2009.
70. A. F. Morse and M. Aktius, "Dynamic liquid association: Complex learning without implausible guidance," Neural Netw., vol. 22, no. 1, pp. 875-889, 2009.
71. A. F. Morse and T. Ziemke, "Action, detection, and perception: A computational model of the relation between movement and orientation selectivity in the cerebral cortex," in Proc. CogSci 2009 - 31st Annu. Conf. Cogn. Sci. Soc., Amsterdam, The Netherlands, 2009.