Creating metamemory by evolving artificial neural network with neuromodulation

• YAMATO Yusuke

  Nagoya University

• SUZUKI Reiji

  Nagoya University

• ARITA Takaya

  Nagoya University

Bibliographic Information

Other Title

• 神経修飾を用いたニューラルネットワークによるメタ記憶の進化

Abstract

Human have the ability to consciously aware of the presence or absence of their memory. This kind of the ability called metamemory plays important roles in human cognition. We aim to evolve arti cial neural networks with neuromodulation, that have a metamemory function. Our constructive approach is based on the repetition of evolutionary experiments, analysis of the evolved networks and re nement of the measure, so as to reducing the gap between the functional properties of behavior and subjective reports of phenomenal experience. This paper reports on the current state of the approach based on the evolutionary experiments with a delayed matching-to-sample task.

Journal

• Proceedings of the Annual Conference of JSAI

  Proceedings of the Annual Conference of JSAI JSAI2019 (0), 1D4J104-1D4J104, 2019

  The Japanese Society for Artificial Intelligence

Keywords

• Artificial life
• Metamemory
• Metacognition
• Agent-based modelling

Details

• CRID: 1390845713072675456
• NII Article ID: 130007658228
• DOI: 10.11517/pjsai.jsai2019.0_1d4j104
• Text Lang: ja
• Data Source:
  • JaLC
  • CiNii Articles
• Abstract License Flag: Disallowed