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Computational cognitive model based on working memory and Global Workspace Theory

원문정보

Hyeong Don Moon (Roti)

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초록

영어

There is much research nowadays about artificial neural networks and artificial intelligence. In particular, research into cognitive models mimicking the human brain structure to simulate human consciousness are progressing at an active rate. This paper presents the cognitive model ‘HaeYum’, meaning ‘to think’ in Korean, based on Gerald Edelman’s Theory of neuronal group selection (TNGS) and Baar’s Global Workspace Theory (GWT). From these two theories regarding consciousness, the HaeYum model borrows the concepts of categorized memory and workspace. The HaeYum model explains consciousness as an operational mechanism dealing with categorized memory and represents it as a computational model, which could become a crucial theory regarding artificial intelligences that thinks like humans, or artificial general intelligence. This paper outlines the HaeYum model and explain its working mechanism of the memory-calling phase and the memory-saving phase.

목차

ABSTRACT
 1. INTRODUCTION
  Purpose of study
 2. MATERIALS AND METHODS
  Global Workspace Theory
  Neural darwinism
 3. RESULTS
  Categorized memory
  HaeYum Model
  Memory calling state
  Attention system
  Oblivion
  Consciousness occupation
  Sensibility of sense
  Exercise memory
  Memory calling
  Memory saving state
  Conceptual categorization
  Creation of memory
  Memory separation
 4. CONCLUSION AND DISCUSSION
 5. References

저자정보

  • Hyeong Don Moon (Roti) Daejeon Science High School, 46, Gwahak-ro, Yuseong-gu, Daejeon, Republic of Korea

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