[1] D. Bailey, J. Feldman, S. Narayanan, G. Lakoff, Embodied lexical development, in: Proceedings of the Nineteenth Annual Meeting of the Cognitive Science Society, Erlbaum, Mahwah, NJ, 1997.

[2] K. Barnard, P. Duygulu, D. Forsyth, N. de Freitas, D. Blei, M. Jordan, Matching words and pictures, J. Machine Learning Res. 3 (2003) 1107--1135.

[3] L. Barsalou, Perceptual symbol systems, Behavioural and Brain Sciences 22 (1999) 577--609.

[4] R. Barzilay, E. Reiter, J.M. Siskind, in: HLT-NAACL03 Workshop on Learning Word Meaning from NonLinguistic Data, 2003.

[5] B. Bergen, N. Chang, S. Narayanan, Simulated action in an embodied construction grammar, in: Proceedings of the 26th Annual Meeting of the Cognitive Science Society, 2004.

[6] A. Clark, Being There: Putting Brain, Body and World Together again, MIT Press, Cambridge, MA, 1997.

[7] H. Clark, Using Language, Cambridge University Press, Cambridge, 1996.

[8] S. Coradeschi, A. Saffiotti, Special issue of robotics and autonomous systems on perceptual anchoring, 43 (2--3) (2003).

[9] K. Coventry, S. Garrod, Saying, Seeing and Acting, Psychology Press, 2004.

[10] R. Dale, E. Reiter, Computational interpretations of the gricean maxims in the generation of referring expressions, Cognitive Sci. 19 (2) (1995) 233--263.

[11] J. Feldman, G. Lakoff, D. Bailey, S. Narayanan, T. Regier, A. Stolcke, Lzero: The first five years, Artificial Intelligence Rev. 10 (1996) 103--129.

[12] A.P. Fern, R.L. Givan, J.M. Siskind, Specific-to-general learning for temporal events with application to learning event definitions from video, J. Artificial Intelligence Res. 17 (2002) 379--449.

[13] P. Gäenfors, Conceptual Spaces: The Geometry of Thought, MIT Press, Cambridge, MA, 2000.

[14] A. Glenberg, M. Kaschak, Grounding language in action, Phychonomic Bull. Rev. 9 (3) (2002) 558--565.

[15] P. Gorniak, D. Roy, Grounded semantic composition for visual scenes, J. Artificial Intelligence Res. 21 (2004) 429--470.

[16] P. Gorniak, D. Roy, Speaking with your sidekick: Understanding situated speech in computer role playing games, in: Proceedings of Artificial Intelligence and Interactive Digital Entertainment, 2005.

[17] S. Harnad, The symbol grounding problem, Physica D 42 (1990) 335--346.

[18] G. Herzog, P. Wazinski, VIsual TRAnslator: Linking perceptions and natural language descriptions, Artificial Intelligence Rev. 8 (1994) 175--187.

[19] J. Juster, D. Roy, Elvis: Situated speech and gesture understanding for a robotic chandilier, in: Proceedings of the International Conference on Multimodal Interfaces, 2004.

[20] G. Lakoff, Women, Fire, and Dangerous Things, University of Chicago Press, Chicago, IL, 1987.

[21] G. Lakoff, M. Johnson, Metaphors We Live By, University of Chicago Press, Chicago, IL, 1980.

[22] J.M. Lammens, A computational model of color perception and color naming, PhD thesis, State University of New York, 1994.

[23] A. Mojsilovic, A computational model for color naming and describing color composition of images, IEEE Trans. Image Process. 14 (5) (2005) 690--699.

[24] S. Narayanan, Moving right along: A computational model of metaphoric reasoning about events, in: Proceedings of the National Conference on Artificial Intelligence AAAI-99, Orlando, FL, 1999.

[25] N. Nilsson, Shakey the robot, Technical Report 323, A.I. Center, SRI International, 1984.

[26] M. Pickering, S. Garrod, Toward a mechanistic psychology of dialogue, Behav. Brain Sci. 274 (2004) 169-- 226.

[27] P. McKevitt (Ed.), Integration of Natural Language and Vision Processing, Kluwer Academic, Dordrecht, 1995.

[28] P.E. Hart, R.O. Duda, D.G. Stork, Pattern Classification, Wiley, New York, 2001.

[29] T. Regier, The Human Semantic Potential, MIT Press, Cambridge, MA, 1996.

[30] T. Regier, Emergent constraints on word-learning: A computational perspective, Trends Cognitive Sci. 7 (6) (2003) 263--268.

[31] T. Regier, L. Carlson, Grounding spatial language in perception: An empirical and computational investigation, J. Experimental Psychol. 130 (2) (2001) 273--298.

[32] T. Regier, M. Zheng, An attentional constraint on spatial meaning, in: R. Alterman, D. Kirsh (Eds.), Proceedings of the 25th Annual Meeting of the Cognitive Science Society, 2003.

[33] E. Reiter, S. Sripada, Human variation and lexical choice, Computational Linguistics 28 (2002) 545--553.

[34] J. Robin, K. McKeown, Empirically designing and evaluating a new revision-based model for summary generation, Artificial Intelligence 85 (1996) 135--179.

[35] D. Roy, Learning visually-grounded words and syntax for a scene description task, Comput. Speech Language 16 (3) (2002).

[36] D. Roy, Grounding words in perception and action: Computational insights, Trends in Cognitive Sciences, in press.

[37] D. Roy, K. Hsiao, N. Mavridis, Mental imagery for a conversational robot, IEEE Trans. Systems Man, Cybernet. B 34 (3) (2004) 1374--1383.

[38] D. Roy, N. Mukherjee, Towards situated speech understanding: Visual context priming of language models, Comput. Speech Language 19 (2) (2005) 227--248.

[39] D. Roy, A. Pentland, Learning words from sights and sounds: A computational model, Cognitive Sci. 26 (1) (2002) 113--146.

[40] J. Siskind, Naive physics, event perception, lexical semantics, and language acquisition, PhD thesis, Massachusetts Institute of Technology, 1992.

[41] J. Siskind, Grounding language in perception, Artificial Intelligence Rev. 8 (1995) 371--391.

[42] J. Siskind, Grounding the lexical semantics of verbs in visual perception using force dynamics and event logic, J. Artificial Intelligence Res. 15 (2001) 31--90.

[43] M. Skubic, D. Perzanowski, S. Blisard, A. Schultz, W. Adams, M. Bugajska, D. Brock, Spatial language for human-robot dialogs, IEEE Trans. Systems Man, Cybernet. C 34 (2) (2004) 154--167.

[44] L. Steels, Evolving grounded communication for robots, Trends Cognitive Sci. 7 (7) (2003) 308--312.

[45] L. Talmy, Force dynamics in language and cognition, Cognitive Sci. 12 (1988) 49--100.

[46] L. Talmy, Toward a Cognitive Semantics, MIT Press, Cambridge, MA, 2000.

[47] M.K. Tanenhaus, M. Spivey-Knowlton, K. Eberhard, J. Sedivy, Integration of visual and linguistic information during spoken language comprehension, Sci. 268 (1995) 1632--1634.

[48] T. Winograd, A Process Model of Language Understanding, Freeman, New York, 1973, pp. 152--186.