JSAI Technical Report, Type 2 SIG
Online ISSN : 2436-5556
Volume 2022, Issue AGI-020
The 20th SIG-AGI
Displaying 1-4 of 4 articles from this issue
  • Norio EMURA
    Article type: SIG paper
    2022 Volume 2022 Issue AGI-020 Pages 01-
    Published: March 15, 2022
    Released on J-STAGE: March 15, 2022
    RESEARCH REPORT / TECHNICAL REPORT FREE ACCESS

    To realize organic information processing that mimics the behavior of the human brain(1)Do not imitate the processing of information in the brain, which is the creation of a mysterious God,(2)I observe my thoughts/ judgments / actions as much as possible and objectively, and systematize the behavior of the brain,(3)In order to realize this, I created and systematized the control method (encountered breakthrough*1 in this)*1: Thought algorithm, memory control (associative/hierarchical memory/activation propagation), virtual field space control(4)Organic information processing based on brain function engineering has been constructed by mutually complementing paragraph #(2)and(3).In this paper, I introduce the system and future efforts of organic information processing obtained from the conventional approach.

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  • Naoya ARAKAWA
    Article type: SIG paper
    2022 Volume 2022 Issue AGI-020 Pages 02-
    Published: March 15, 2022
    Released on J-STAGE: March 15, 2022
    RESEARCH REPORT / TECHNICAL REPORT FREE ACCESS

    Brain-inspired cognitive architecture is one of the options for the realization of AGI. While backpropagation has been widely used in artificial neural networks, it is not considered to be used in the brain, especially across brain regions. This paper reports the implementation of the following cognitive architectures consisting of multiple learners without backpropagation between modules: 1) a minimal architecture consisting of multiple learners without inter-module backpropagation; 2) a model of cortical, basal ganglia, and thalamic loops; 3) a model of a working memory with attention mechanism.

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  • Yuuji ICHISUGI, Hidemoto NAKADA, Naoto TAKAHASHI, Izumi TAKEUTI, Takas ...
    Article type: SIG paper
    2022 Volume 2022 Issue AGI-020 Pages 03-
    Published: March 15, 2022
    Released on J-STAGE: March 15, 2022
    RESEARCH REPORT / TECHNICAL REPORT FREE ACCESS

    This paper describes Pro5Lang, a target language for program synthesis for artificial general intelligence with an associative memory mechanism. This language has the features of logic programming languages and machine languages. The associative memory stores only proven propositions that are obtained in the process of proof search. This proposed mechanism is also a hypothetical computational model that clearly explains one of the major roles of episodic memory in the brain. We preliminarily examined the expressive power of Pro5Lang and its suitability as a target language for synthesis by writing several test programs.

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  • Koichi TAKAHASHI
    Article type: SIG paper
    2022 Volume 2022 Issue AGI-020 Pages 04-
    Published: March 15, 2022
    Released on J-STAGE: March 15, 2022
    RESEARCH REPORT / TECHNICAL REPORT FREE ACCESS
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