振動性ニューロンネットワークの機能と量子的な認知と量子インスピレーションによる計算とAIの間の橋渡しを構築する
Andrei Khrennikov1, Atsushi Iriki2, Irina Basieva1
1Center for Mathematical Modeling in Physics and Cognitive Sciences Linnaeus University, Växjö, SE 351 95, Sweden.
Bio Systems
|September 1, 2025
まとめ
量子的なモデリングは 脳の振動を 認知プロセスに結びつけ 量子原理が 認知を支えていることを示唆しています このフレームワークは,振動性ネットワークにおける量子インスピレーションコンピューティング (QIC) を使用した量子AI (QLAI) を可能にします.
科学分野:
- 認知神経科学
- 量子情報理論
- コンピューター心理学
背景:
- 量子類似 (QL) モデリングは,量子理論を意思決定と認知心理学に適用し,パラドックスを説明しますが,神経のリンクが欠けています.
- 既存のQLモデルは 脳の神経生理学と情報処理メカニズムに 直接繋がっていません
研究 の 目的:
- 神経生理学,神経心理学,認知心理学の橋渡しをするために 神経振動がQLの行動をどのように生み出すかを探求する.
- 量子理論的枠組み,QL振動的認知,認知,意思決定,神経振動を結びつける.
- 心と物質の関係と知覚の性質を理解するための基礎を築くために
主な方法:
- ニューロンの振動と量子コンピューティング (QIC) によるものです
- "QL振動性認知"の量子理論的枠組みを開発した.
- QL状態の絡み合いを用いた結合問題に関する1つを含む,このフレームワーク内でテスト可能な4つの推測を策定した.
主要な成果:
- QL行動と神経振動を統合した新しい枠組み (QL振動性認知) を提案した.
- 基本的な認知プロセスが 量子原理と一致することを示唆しました
- QL状態が神経ネットワークで絡み合っていると 結合問題を解く可能性があると仮定した.
結論:
- 基本的な認知プロセスは 量子原理に従って動作するかもしれません
- ヒューマノイドAIは,量子理論的法則による情報処理から利益を得ることができ,量子AI (QLAI) に導きます.
- QLAIはQICを実行する振動ネットワークを使用して効率的に実装できます.
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