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Updated: Sep 9, 2025

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Assessment and Communication for People with Disorders of Consciousness
Published on: August 1, 2017
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機械における意識の探査
Mathis Immertreu1,2, Achim Schilling3,4, Andreas Maier1,2
1CCN Group, Pattern Recognition Lab, Erlangen, Germany.
Frontiers in artificial intelligence
|September 5, 2025
まとめ
ダマシオに触発された自己と世界のモデルを統合することによって,人工エージェントはコア意識を開発することができる.
科学分野:
- 人工知能
- 神経科学
- 認知科学
背景:
- アントニオ・ダマシオが理論化した 核心意識は 自己と世界のモデルを統合することで 生まれます
- これらのモデルは 感情や感情 そして環境の表現によって 伝わります
研究 の 目的:
- 人工エージェントが自己と世界の予備モデルを開発できるかどうかを調査する.
- 強化学習による 機械の意識の可能性を 探求するためです
主な方法:
- 仮想環境で強化学習 (RL) を使用して人工エージェントを訓練する.
- ニューラル・ネットワークの活性化に Feedforward Classifier を利用する.
- エージェントの空間位置を 予測する能力を評価する
主要な成果:
- 基本的自己と世界のモデルを 形成する能力を示しました
- これらのモデルは ビデオゲームをプレイするエージェントの 副産物として生まれました
結論:
- 人工的なエージェントは 意識の基本的側面を 開発する可能性を 示しています
- この研究は人工知能と 機械の意識の進歩に 洞察を与えてくれます
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