Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

A Challenge in A(G)I, Cybernetics Revived in the Ouroboros Model as One Algorithm for All Thinking

Version 1 : Received: 12 July 2023 / Approved: 12 July 2023 / Online: 13 July 2023 (12:28:07 CEST)

A peer-reviewed article of this Preprint also exists.

Thomsen, K. A Challenge in A(G)I, Cybernetics Revived in the Ouroboros Model as One Algorithm for All Thinking. Artificial Intelligence and Autonomous Systems 2024, doi:10.55092/aias20240001. Thomsen, K. A Challenge in A(G)I, Cybernetics Revived in the Ouroboros Model as One Algorithm for All Thinking. Artificial Intelligence and Autonomous Systems 2024, doi:10.55092/aias20240001.

Abstract

A topical challenge for algorithms in general and for automatic image categorization and generation in particular is presented with the aim of highlighting strengths and deficiencies of current Artificial Intelligence approaches while sketching a way forward. A general lack of encompassing symbol-embedding and (not only) -grounding in some bodily basis is made responsible for current deficiencies. A concomitant dearth of hierarchical organization of concepts follows suite. As a remedy for these shortcomings, it is proposed to take a wide step back and to newly incorporate aspects of cybernetics and analog control processes. It is claimed that a promising overarching perspective is provided by the Ouroboros Model with a valid and versatile algorithmic backbone for general cognition at all accessible levels of abstraction and capabilities.

Keywords

Ouroboros Model; Analogical Algorithms; AI-Challenge; Large Language Models; Cybernetics; Synergetics; Understanding; Common Sense; Consciousness; Free Will.

Subject

Physical Sciences, Other

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