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関連する概念動画

Reason and Intuition01:37

Reason and Intuition

7.5K
The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
7.5K
Reasoning01:30

Reasoning

428
Reasoning is the action of thinking about something in a logical, sensible way. It is integral to problem-solving, decision-making, and critical thinking. Reasoning can be inductive or deductive. Reasoning involves transforming information into conclusions, which is essential for problem-solving, decision-making, and critical thinking.
Inductive reasoning involves deriving generalizations from specific observations. This type of reasoning helps form beliefs about the world. For example,...
428
Deductive Reasoning01:16

Deductive Reasoning

67.9K
Deductive reasoning, or deduction, is the type of logic used in hypothesis-based science. In deductive reasoning, the pattern of thinking moves in the opposite direction as compared to inductive reasoning, which means that it uses a general principle or law to predict specific results. From those general principles, a scientist can deduce and predict the specific results that would be valid as long as the general principles are valid.
For example, a researcher can deduce specific predictions...
67.9K
Language01:16

Language

904
Language is a unique communication system that uses words and systematic rules to organize and transmit information. Unlike other forms of communication, which may involve postures, movements, odors, or vocalizations, language relies on symbols and grammar. This makes human communication distinct from that of other species, who also communicate but do not use language in the same way humans do.
Corballis and Suddendorf (2007) and Tomasello and Rakoczy (2003) highlight the role of language in...
904
Inductive Reasoning00:59

Inductive Reasoning

67.2K
Inductive reasoning is a form of logical thinking that uses related observations to arrive at a general conclusion. It is uncertain and operates in degrees to which the conclusions are credible. As such, inductive arguments can be weak or strong, rather than valid or invalid, and conclusions can be used to formulate testable, falsifiable hypotheses.
Inductive reasoning is common in descriptive science. A life scientist makes observations and records them. This data can be qualitative or...
67.2K
Components of Language01:24

Components of Language

809
Language, whether spoken, signed, or written, consists of specific components: lexicon and grammar. The lexicon is the vocabulary of a language, comprising its words. Grammar is the set of rules used to convey meaning through the lexicon. For example, English grammar adds “-ed” to most verbs to indicate past tense. Words are formed by combining phonemes, which are the basic sound units of a language. Different languages have different sets of phonemes (e.g., “ah” vs.
809

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関連する実験動画

Updated: Jan 28, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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IoT-LLM:実世界のセンサーデータから大規模言語モデルの推論を強化するためのフレームワーク

Tuo An1, Yunjiao Zhou2, Han Zou1

  • 1MARS Lab, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, Singapore.

Patterns (New York, N.Y.)
|January 26, 2026
PubMed
まとめ

大規模言語モデル(LLM)は、モノのインターネット(IoT)データを統合することで、物理世界推論を改善しました。IoT-LLMフレームワークは、知覚と知識を強化し、タスクパフォーマンスを大幅に向上させます。

背景:

  • 大規模言語モデル(LLM)は強力なテキスト機能を実証していますが、物理世界推論が欠けています。
  • 人間の認知は、効果的な推論のために知覚に依存しています。

結論:

  • IoT-LLMフレームワークを介してIoTデータと知識でLLMを拡張することは、物理世界推論に効果的です。
  • 提案されたフレームワークは、LLMのテキスト能力と現実世界の感覚理解との間のギャップを埋めるための実行可能なソリューションを提供します。
  • 将来の研究では、より広範なアプリケーションのためにフレームワークのさらなる洗練を探求できます。
キーワード:
モノのインターネットLLM推論エージェンティックAI大規模言語モデル物理AI

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