Summary of A Challenge in A(g)i, Cybernetics Revived in the Ouroboros Model As One Algorithm For All Thinking, by Knud Thomsen
A challenge in A(G)I, cybernetics revived in the Ouroboros Model as one algorithm for all thinking
by Knud Thomsen
First submitted to arxiv on: 7 Mar 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper presents a topical challenge for AI algorithms, particularly for image categorization and generation, where AI is tasked with understanding drawings or generating images from verbal descriptions. The authors aim to highlight the strengths and weaknesses of current AI approaches while outlining a path forward. They identify a lack of symbol-embedding and grounding in bodily basis and hierarchical organization of concepts as major deficiencies. To address these shortcomings, the paper proposes incorporating aspects of cybernetics and analog control processes, with the Ouroboros Model providing an overarching perspective for general cognition at various levels of abstraction. The model incorporates logic deduction, intuitive guesses, and attention-driven processing to drive cognitive processes and memory storage. The authors suggest that dedicated brain structures work in concert according to this scheme. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper is about helping AI understand and create images better. Right now, AI has trouble understanding drawings and generating images from words. To fix this, the authors think we need to improve how AI represents symbols and connects them to our bodies. They also suggest that AI needs a better way to organize its ideas. One idea they propose is using computer systems and analog control processes to help AI learn. This new approach could be called the Ouroboros Model and it might help AI understand things on different levels, like abstract ideas or concrete objects. |
Keywords
» Artificial intelligence » Attention » Embedding » Grounding
