• DocumentCode
    1058069
  • Title

    Evolution of Languages, Consciousness and Cultures

  • Author

    Perlovsky, Leonid I.

  • Author_Institution
    Harvard Univ, Cambridge
  • Volume
    2
  • Issue
    3
  • fYear
    2007
  • Firstpage
    25
  • Lastpage
    39
  • Abstract
    The knowledge instinct is a fundamental mechanism of the mind that drives evolution of higher cognitive functions. Neural modeling fields and dynamic logic describe it mathematically and relate to language, concepts, emotions, and behavior. Perception and cognition, consciousness and unconsciousness, are described, while overcoming past mathematical difficulties of modeling intelligence. The two main aspects of the knowledge instinct determining evolution are differentiation and synthesis. Differentiation proceeds from and unconscious states to more crisp and conscious, from less knowledge to more knowledge; it separates concepts from emotions, Its main mechanism is language. Synthesis strives to achieve unity and meaning of knowledge; it is necessary for resolving contradictions, concentrating will and for purposeful actions. Synthesis connects language and cognition. Its main mechanisms are emotionality of languages and the hierarchy of the mind. Differentiation and synthesis are in complex relationship of symbiosis and opposition. This Leads to complex dynamics of evolution of consciousness and languages. Its mathematical modeling predicts evolution of cultures. We discuss existing evidence and future research directions.
  • Keywords
    cognition; natural languages; psychology; cognition; cognitive functions; consciousness evolution; culture evolution; dynamic logic; intelligence modeling; knowledge instinct; language emotionality; language evolution; mind hierarchy; neural modeling fields; perception; unconsciousness; Cognition; Competitive intelligence; Cultural differences; Earth; Educational institutions; Humans; Logic; Mathematical model; Military computing; Symbiosis;
  • fLanguage
    English
  • Journal_Title
    Computational Intelligence Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1556-603X
  • Type

    jour

  • DOI
    10.1109/MCI.2007.385364
  • Filename
    4274794