The development of shared meaning within different embodiments

This paper discusses the effect of different embodiments on the development of shared meanings between agents, and how language can help to overcome this difference. Using color as an exemplary case, we discuss how despite perceptual differences agents can develop a common understanding of color categories. This phenomenon is investigated through computational modeling of agents with different perceptual capabilities that engage in linguistic interaction. Differences in perception are modeled on both human physiological differences and on data recorded from two robots.

[1]  L. Cohen,et al.  Labels can override perceptual categories in early infancy , 2008, Cognition.

[2]  David Williams,et al.  The arrangement of the three cone classes in the living human eye , 1999, Nature.

[3]  Vittorio Loreto,et al.  Modeling the emergence of universality in color naming patterns , 2009, Proceedings of the National Academy of Sciences.

[4]  Giulio Sandini,et al.  The iCub humanoid robot: an open platform for research in embodied cognition , 2008, PerMIS.

[5]  Tony Belpaeme,et al.  Explaining Universal Color Categories Through a Constrained Acquisition Process , 2005, Adapt. Behav..

[6]  Ishihara Shinobu,et al.  Ishihara's tests for colour deficiency : the series of plates designed as a test for colour deficiency , 1999 .

[7]  Julia Sturges,et al.  Locating basic colours in the munsell space , 1995 .

[8]  Karl R. Gegenfurtner,et al.  Color Vision: From Genes to Perception , 1999 .

[9]  Fei Xu The role of language in acquiring object kind concepts in infancy , 2002, Cognition.

[10]  Paul Vogt,et al.  Anchoring of semiotic symbols , 2003, Robotics Auton. Syst..

[11]  Mark D. Fairchild,et al.  Color Appearance Models , 1997, Computer Vision, A Reference Guide.

[12]  Tony Belpaeme,et al.  Towards retro-projected robot faces: An alternative to mechatronic and android faces , 2009, RO-MAN 2009 - The 18th IEEE International Symposium on Robot and Human Interactive Communication.

[13]  Stefano Nolfi,et al.  Evolution of Communication and Language in Embodied Agents , 2009 .

[14]  L. Steels,et al.  coordinating perceptually grounded categories through language: a case study for colour , 2005, Behavioral and Brain Sciences.

[15]  Luc Steels Structural coupling of cognitive memories through adaptive language games , 1998 .

[16]  Gunther Wyszecki,et al.  Color Science: Concepts and Methods, Quantitative Data and Formulae, 2nd Edition , 2000 .

[17]  G. H. Jacobs,et al.  Functional consequences of the relative numbers of L and M cones. , 2000, Journal of the Optical Society of America. A, Optics, image science, and vision.

[18]  J. Nathans,et al.  Opsin genes, cone photopigments, color vision, and color blindness , 1999 .

[19]  P. Kay,et al.  Categorical perception of color is lateralized to the right hemisphere in infants, but to the left hemisphere in adults , 2008, Proceedings of the National Academy of Sciences.

[20]  Stephen J Dain,et al.  Color vision in children and the Lanthony New Color Test , 2008, Visual Neuroscience.