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関連する概念動画

Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

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An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
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Decision Making01:20

Decision Making

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Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
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Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

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Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
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The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
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Neural Regulation01:37

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Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.
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Introduction to Cognitive Psychology01:20

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Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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AIガバナンスのための複雑なシステム科学からの教訓

Noam Kolt1,2, Michal Shur-Ofry1, Reuven Cohen3

  • 1Faculty of Law, Hebrew University, Jerusalem, Israel.

Patterns (New York, N.Y.)
|August 22, 2025
PubMed
まとめ
この要約は機械生成です。

複雑な適応システム原理は 人工知能 (AI) の管理に不可欠な洞察力を提供します. このレッスンを適用すると,AIの管理に役立ちます.

キーワード:
カスケードリスク複雑な適応システム出現するフィードバックループ規制とガバナンススケール

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関連する実験動画

Last Updated: Sep 10, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
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科学分野:

  • 複雑な適応システム科学の学際的な応用
  • 物理,生物学,社会科学からの洞察をAIガバナンスに統合する.
  • AIの行動とリスクを理解するための複雑なシステム理論を活用する.

背景:

  • 現代の人工知能 (AI) システムは,複雑な適応システムの特徴を示しています.
  • AI環境は非線形的な成長,新興現象,カスケーディングの失敗を示しています.
  • 人工知能のガバナンスにおける課題は フィードバックループと 重要なインフラストラクチャの相互依存性から生じます

研究 の 目的:

  • AIガバナンスに複雑な適応システム原理の適用性を探求する.
  • 複雑なシステム科学によって照らされるAIガバナンスにおける主要な課題を特定する.
  • 複雑なAIガバナンスのための枠組みを提案する.

主な方法:

  • 複雑なアダプティブシステムと AI の行動の並列を描きます.
  • 複雑なシステムのレンズを通してAIガバナンスの課題を分析する.
  • 公共衛生と気候変動のケーススタディを調査して 統治に関する洞察を得ること

主要な成果:

  • AIシステムとその環境は 複雑な適応システムと特性を共有しています
  • 人工知能を統制する現在の取り組みには 深い不確実性があります
  • 合成データフィードバックループのような特定のAI機能は,ガバナンス上の課題を提起します.

結論:

  • AIのガバナンスには 複雑な適応システムと 互換性のある原則が必要です
  • 提案された望ましいデータには,早期/拡張可能な介入,適応性のある機関,および調整されたリスクの値が含まれます.
  • 効果的なAIガバナンスには,不確実性や新たなリスクを管理するための適応戦略が必要です.