Article thumbnail
Location of Repository

Modeling the evolution of communication: From stimulus associations to grounded symbolic associations

By Angelo Cangelosi

Abstract

This paper describes a model for the evolution of communication systems using simple syntactic rules, such as word combinations. It also focuses on the distinction between simple word-object associations and symbolic relationships. The simulation method combines the use of neural networks and genetic algorithms. The behavioral task is influenced by Savage-Rumbaugh & Rumbaugh’s (1978) ape language experiments. The results show that languages that use combination of words (e.g. “verb-object” rule) can emerge by auto-organization and cultural transmission. Neural networks are tested to see if evolved languages are based on symbol acquisition. The implications of this model for Deacon’s (1997) hypothesis on the role of symbolic acquisition for the origin of language are discussed

Topics: Artificial Intelligence, Neural Nets, Evolutionary Psychology, Computational Linguistics, Psychophysics
Publisher: Speinger Verlag
Year: 1999
DOI identifier: 10.1007/3-540-48304-7_86
OAI identifier: oai:cogprints.org:2022

Suggested articles

Citations

  1. (1987). Categorical Perception: The groundwork of cognition. New York:
  2. (1990). Grammatical combination in Pan paniscus: Process of learning and invention in the evolution and development of language.
  3. (1997). Grounding adaptive language games in robotic agents.
  4. (1994). Innate biases and critical periods: Combining evolution and learning in the acquisition of syntax.
  5. (1997). Learning, culture and evolution in the origin of linguistic constraints. In
  6. (1996). Prefrontal cortex and symbol learning: Why a brain capable of language evolved only once.
  7. (1997). Self-organising vocabularies.
  8. (1978). Symbolization, language, and Chimpanzees: A theoretical reevaluation on Initial language acquisition processes in four Young Pan troglodytes.
  9. (1998). The emergence of a "language" in an evolving population of neural networks.
  10. (1998). The evolution of language as an aid to categorization.
  11. (1990). The Symbol Grounding Problem. Physica D 42: 335-346 Hauser M.D.
  12. (1997). The synthetic modeling of language origins.

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.