Dialogue and causality: Global description from local observations and vague communications

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

We propose a dialogue-based society model which explains how the transitive law of the causality is originated. Causality is, in general, formalized by using axiomatic approaches. Instead of using axiomatic methods, we, however, compose a model consisting of agents who have knowledge about causal relations among objects. The model society can reveal the transitive law through interactional dialogues among themselves. The agents are reciprocally influenced, if they have either completely same opinions, or a particular pattern of opinions, that are regarded as the extension of such exact accordance. In addition, we add some vagueness to the dialogue, which is closer to a real communication than the former model. A set of knowledge of each agent is expressed as a directed graph, hence the every model can be construed as mere transformations of directed graphs through the interactions among directed graphs themselves. Following this perspective, the models are the systems that connect local logic with global one, while the union of the directed graphs is regarded as the global.

Original languageEnglish
Pages (from-to)783-791
Number of pages9
JournalBioSystems
Volume90
Issue number3
DOIs
Publication statusPublished - 2007 Nov 1

Keywords

  • Causality
  • Dialogue
  • Embodied mathematics
  • Implication
  • Multi-agent model

ASJC Scopus subject areas

  • Statistics and Probability
  • Modelling and Simulation
  • Biochemistry, Genetics and Molecular Biology(all)
  • Applied Mathematics

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