Adaptive agent modeling of distributed language: investigations on the effects of cultural variation and internal action representations

Abstract In this paper we present the “grounded adaptive agent” computational framework for studying the emergence of communication and language. This modeling framework is based on simulations of population of cognitive agents that evolve linguistic capabilities by interacting with their social and physical environment (internal and external symbol grounding). These models provide an integrative vision of language where the linguistic abilities of cognitive agents strictly depend on other social, sensorimotor, neural and cognitive capabilities. Here language is not seen as an isolated and dedicated symbol processing system, but rather as a heterogeneous set of artifacts implicated in cultural and cognitive activities. The proposed modeling approach is also closely related to embodied cognition theories of the grounding of language in the organism’s perceptual and motor systems.

[1]  Kenneth R. Livingston,et al.  Categorical Perception Effects Induced by Category Learning , 1998 .

[2]  Curt Burgess,et al.  Modelling Parsing Constraints with High-dimensional Context Space , 1997 .

[3]  A. Cangelosi,et al.  How Nouns and Verbs Differentially Affect the Behavior of Artificial Organisms , 2001 .

[4]  Domenico Parisi,et al.  Simulating the Evolution of Artifacts , 1999, ECAL.

[5]  Wolfgang Banzhaf,et al.  Advances in Artificial Life , 2003, Lecture Notes in Computer Science.

[6]  Aude Billard,et al.  The Sensorimotor Bases of Linguistic Structure: Experiments with Grounded Adaptive Agents , 2004 .

[7]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[8]  Deb Roy,et al.  Coupling perception and simulation: steps towards conversational robotics , 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).

[9]  Ron Sun,et al.  Connectionist Implementationalism and Hybrid Systems , 2006 .

[10]  Kenneth R. Livingston,et al.  Categorical perception effects induced by category learning. , 1998, Journal of experimental psychology. Learning, memory, and cognition.

[11]  Rolf A. Zwaan,et al.  Grounding Cognition: Introduction to Grounding Cognition: The Role of Perception and Action in Memory, Language, and Thinking , 2005 .

[12]  Luc Steels,et al.  Collective Learning and Semiotic Dynamics , 1999, ECAL.

[13]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[14]  A. Cangelosi.  The grounding and sharing of symbols , 2006 .

[15]  Peter D. Turney,et al.  Evolution, Learning, and Instinct: 100 Years of the Baldwin Effect , 1996, Evolutionary Computation.

[16]  Michael P. Kaschak,et al.  Grounding language in action , 2002, Psychonomic bulletin & review.

[17]  Adriaan G. Tijsseling,et al.  Warping Similarity Space in Category Learning by Backprop Nets , 1997 .

[18]  Angelo Cangelosi,et al.  Learning and the Evolution of Language: The Role of Cultural Variation and Learning Costs in the Baldwin Effect , 2002, Artificial Life.

[19]  Angelo Cangelosi,et al.  Evolution of communication and language using signals, symbols, and words , 2001, IEEE Trans. Evol. Comput..

[20]  Robert L. Goldstone.  Influences of categorization on perceptual discrimination. , 1994, Journal of experimental psychology. General.

[21]  Risto Miikkulainen,et al.  Integrated connectionist models: building AI systems on subsymbolic foundations , 1994, Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94.

[22]  Michael Don Palmer,et al.  Reflections on language , 1977 .

[23]  Robert L. Goldstone.  Influences of categorization on perceptual discrimination. , 1994 .

[24]  Stevan Harnad,et al.  GROUNDING SYMBOLS IN THE ANALOG WORLD WITH NEURAL NETS A Hybrid Model , 1993 .

[25]  T. Zentall,et al.  Categorical shape and color coding by pigeons. , 1986, Journal of experimental psychology. Animal behavior processes.

[26]  Brian Hazlehurst,et al.  The Emergence of Propositions from the Co-ordination of Talk and Action in a Shared World , 1998 .

[27]  Deb Roy,et al.  Semiotic schemas: A framework for grounding language in action and perception , 2005, Artif. Intell..

[28]  J. Baldwin.  A New Factor in Evolution , 1896, The American Naturalist.

[29]  Ted Briscoe.  Grammatical acquisition: Inductive bias and coevolution of language and the language acquisition device , 2000 .

[30]  S. Pinker,et al.  Natural language and natural selection , 1990, Behavioral and Brain Sciences.

[31]  A. Cangelosi,et al.  The processing of verbs and nouns in neural networks: Insights from synthetic brain imaging , 2004, Brain and Language.

[32]  James L. McClelland,et al.  Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations , 1986 .

[33]  Lynn Nadel,et al.  Encyclopedia of Cognitive Science , 2003 .

[34]  S. Harnad.  Categorical Perception: The Groundwork of Cognition , 1990 .

[35]  Luc Steels,et al.  Grounding symbols through evolutionary language games , 2002 .

[36]  Angelo Cangelosi,et al.  The Sensorimotor Bases of Linguistic Structure : Experiments with Grounded Adaptive Agents , 2004 .

[37]  Henri Cohen,et al.  Handbook of categorization in cognitive science , 2005 .

[38]  Angelo Cangelosi,et al.  Simulating the Evolution of Language , 2002, Springer London.

[39]  Padraic Monaghan,et al.  Proceedings of the 23rd annual conference of the cognitive science society , 2001 .

[40]  Angelo Cangelosi,et al.  The Adaptive Advantage of Symbolic Theft Over Sensorimotor Toil: Grounding Language in Perceptual Categories , 2001 .

[41]  Paul Vogt,et al.  The physical symbol grounding problem , 2002, Cognitive Systems Research.

[42]  Angelo Cangelosi,et al.  An Embodied Model for Sensorimotor Grounding and Grounding Transfer: Experiments With Epigenetic Robots , 2006, Cogn. Sci..

[43]  Angelo Cangelosi,et al.  From robotic toil to symbolic theft: Grounding transfer from entry-level to higher-level categories1 , 2000, Connect. Sci..

[44]  L. Barsalou,et al.  Whither structured representation? , 1999, Behavioral and Brain Sciences.

[45]  Stefano Nolfi,et al.  The emergence of communication in evolutionary robots , 2003, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.