A unified simulation scenario for language development, evolution, and historical change

When we see a human being who is talking or is listening to and understanding the language produced by someone else, we may ask: What is the origin and past history of this ability? How has this ability taken its present form? Asking and answering questions about the origin and past history of biological, behavioral, and cultural phenomena is a crucial step to an understanding of these phenomena. Biological, behavioral, and cultural phenomena have an intrinsically historical nature. Their current properties are the result of their past history and they retain in themselves the traces of this past history. Language is at the same time a biological, a behavioral, and a cultural phenomenon. Therefore, to understand what language is now requires that we reconstruct how it is has become what it is now.

[1]  L. Cavalli-Sforza.  Cultural transmission and evolution , 1981 .

[2]  Eve V. Clark,et al.  The Lexicon in Acquisition , 1996 .

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

[4]  Trevor A. Harley,et al.  Connectionist approaches to language disorders , 1993 .

[5]  Geoffrey E. Hinton,et al.  How Learning Can Guide Evolution , 1996, Complex Syst..

[6]  A. Whiten,et al.  Primate Calls, Human Language, and Nonverbal Communication [and Comments and Reply] , 1993, Current Anthropology.

[7]  Luc Steels,et al.  Situated Grounded Word Semantics , 1999, IJCAI.

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

[9]  Melanie Mitchell,et al.  To adaptive individuals in evolving populations , 1996 .

[10]  Colin Fyfe,et al.  Modelling the Evolution of Linguistic Diversity , 1999, ECAL.

[11]  Peter Broeder,et al.  Models of Language Acquisition: Inductive and Deductive Approaches , 2001 .

[12]  V. Marchman,et al.  From rote learning to system building: acquiring verb morphology in children and connectionist nets , 1993, Cognition.

[13]  D. Rumbaugh,et al.  Symbolization, language, and chimpanzees: A theoretical reevaluation based on initial language acquisition processes in four young Pan troglodytes , 1978, Brain and Language.

[14]  T. Deacon.  The Symbolic Species: The Co-evolution of Language and the Brain , 1998 .

[15]  Jeffrey L. Elman,et al.  Finding Structure in Time , 1990, Cogn. Sci..

[16]  Simon Kirby,et al.  Spontaneous evolution of linguistic structure-an iterated learning model of the emergence of regularity and irregularity , 2001, IEEE Trans. Evol. Comput..

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

[18]  Armando Freitas da Rocha,et al.  Neural Nets , 1992, Lecture Notes in Computer Science.

[19]  Domenico Parisi,et al.  Cultural Evolution in a Population of Neural Networks , 1997 .

[20]  Marcus W. Feldman,et al.  Cultural Transmission and Evolution (MPB-16), Volume 16: A Quantitative Approach. (MPB-16) , 1981 .

[21]  M. Feldman,et al.  Cultural transmission and evolution: a quantitative approach. , 1981, Monographs in population biology.

[22]  James L. McClelland,et al.  A distributed, developmental model of word recognition and naming. , 1989, Psychological review.

[23]  Seth Bullock.  A continuous evolutionary simulation model of the attainability of honest signalling equilibria , 1998 .

[24]  J. Elman,et al.  Learning and morphological change , 1995, Cognition.

[25]  Angelo Cangelosi,et al.  The Emergence of a 'Language' in an Evolving Population of Neural Networks , 1998, Connect. Sci..

[26]  Chris Sinha,et al.  Symbol Grounding or the Emergence of Symbols? Vocabulary Growth in Children and a Connectionist Net , 1992 .

[27]  Stefano Nolfi,et al.  Learning and Evolution , 1999, Auton. Robots.

[28]  D. Parisi.  An Artificial Life Approach to Language , 1997, Brain and Language.

[29]  Nick Chater,et al.  Connectionist natural language processing: the state of the art , 1999 .

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

[31]  Angelo Cangelosi,et al.  Modeling the Evolution of Communication: From Stimulus Associations to Grounded Symbolic Associations , 1999, ECAL.