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Symbol Emergence as an Interpersonal Multimodal Categorization.

Yoshinobu Hagiwara1, Hiroyoshi Kobayashi1, Akira Taniguchi1

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Summary
This summary is machine-generated.

Agents can develop a shared symbol system through semiotic communication, enabling emergent language and categorization without pre-existing knowledge. This computational model demonstrates bottom-up symbol emergence in multi-agent systems.

Keywords:
language evolutionmultiagent systemmultimodal categorizationprobabilistic generative modelsemiotic communicationsymbol emergence in roboticssymbol system

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Area of Science:

  • Artificial Intelligence
  • Cognitive Science
  • Computational Linguistics

Background:

  • Symbol emergence and category formation are fundamental to language evolution.
  • Multi-agent systems offer a framework for studying bottom-up organization of symbol systems.
  • Semiotic communication, involving signifiers and signifieds, is key to shared meaning.

Purpose of the Study:

  • To introduce a novel computational model for symbol emergence in a two-agent system.
  • To investigate the dynamics of category formation and sign exchange through semiotic communication.
  • To demonstrate how agents can create and share a symbol system without prior knowledge.

Main Methods:

  • Developed a probabilistic generative model for multimodal categorization.
  • Modeled semiotic communication using probabilistic rejection based on receiver belief (Metropolis-Hastings algorithm).
  • Implemented and compared three communication algorithms: no communication, no rejection, and the proposed algorithm.

Main Results:

  • The proposed model successfully reproduces symbol emergence in a two-agent system.
  • Agents formed and shared signs and categories dynamically through communication.
  • The system demonstrated that symbol emergence can occur without a teacher or pre-existing symbol system.

Conclusions:

  • Cognitively independent agents can establish a shared symbol system via semiotic communication.
  • The dynamics of symbol emergence can be viewed as an interpersonal multimodal categorization inference process.
  • The computational model provides mathematical support for the guaranteed emergence and sharing of symbol systems.