Jove
Visualize
お問い合わせ

関連する概念動画

Social Exchange Theory02:06

Social Exchange Theory

We have discussed why we form relationships, what attracts us to others, and different types of love. But what determines whether we are satisfied with and stay in a relationship? One theory that provides an explanation is social exchange theory. According to social exchange theory, we act as naïve economists in keeping a tally of the ratio of costs and benefits of forming and maintaining a relationship with others (Rusbult & Van Lange, 2003).
Thermodynamic Systems01:06

Thermodynamic Systems

A thermodynamic system is a set of objects whose thermodynamic properties are of interest. The system is considered to be embedded in its surroundings or the environment. The system and its environment can exchange heat and do work on each other through a boundary that separates them. However, the immediate surroundings of the system interact with it directly and therefore have a much stronger influence on its behavior and properties.
Consider an example of  tea boiling in a kettle. The tea and...
Theories of Dissolution: Diffusion Layer Model01:15

Theories of Dissolution: Diffusion Layer Model

Dissolution, the process by which drug particles dissolve in a solvent, is explained by the diffusion layer model, a theoretical framework that simulates the absorption of oral drugs and allows us to analyze experimental data.
This process starts with a thin layer, saturated with the drug, forming at the interface between the solid and liquid. The solute then diffuses from this layer into the main solution. The Noyes-Whitney equation suggests that the rate of dissolution relies on the diffusion...
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least squares (OLS)...
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
Social Exchange Theory01:26

Social Exchange Theory

As formulated by John Thibaut and Harold Kelley, Social Exchange Theory explains human relationships as economic-like exchanges that maximize rewards and minimize costs. This theory suggests that individuals engage in relationships to gain benefits and reduce burdens, similar to economic transactions. It has been widely applied to various types of relationships, including romantic, professional, and social interactions.Rewards and Costs in RelationshipsRelationship rewards include emotional...

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え
Same author

Exact solution for the Anisotropic Ornstein-Uhlenbeck process.

Physica A·2023
関連記事をすべて見る
JoVE
x logofacebook logolinkedin logoyoutube logo
JoVEについて
概要リーダーシップブログJoVEヘルプセンター
著者向け
出版プロセス編集委員会範囲と方針査読よくある質問投稿
図書館員向け
推薦の声購読アクセスリソース図書館諮問委員会よくある質問
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experimentsアーカイブ
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教員リソースセンター教員サイト
利用規約
プライバシーポリシー
ポリシー

関連する実験動画

Updated: Jul 12, 2026

The HoneyComb Paradigm for Research on Collective Human Behavior
06:48

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

マルチエージェントシステムにおける社会的採用をモデル化するための熱力学的枠組み.

Guilherme S Y Giardini1, Carlo R daCunha1

  • 1Northern Arizona University, Sanghi College of Engineering (SCE), Flagstaff, Arizona 86011, USA and School of Informatics, Computing, and Cyber Systems (SICCS), Flagstaff, Arizona 86011, USA.

Physical review. E
|February 20, 2026
PubMed
まとめ

私たちは,イノベーションの採用と放棄をモデル化するための熱力学的フレームワークを導入します. このアプローチは,統計力学を用いて社会技術的なシステムの複雑な動態を説明し,ハイブリッドの熱力学-統計的サインを明らかにします.

科学分野:

  • 熱力学は熱力学である.
  • 統計力学 統計力学 統計力学
  • 社会技術システム分析 社会技術システム分析

背景:

  • イノベーションの採用と放棄は,複雑なダイナミクスを示しています.
  • 既存のモデルでは,社会技術系における新興行動が完全に捉えられないかもしれません.
  • これらのダイナミクスを理解するためには,統一された枠組みが必要である.

研究 の 目的:

  • イノベーションの採用と放棄をモデリングするための熱力学的枠組みを開発する.
  • これらのダイナミクスを分析するために統計力学を利用する.
  • 社会技術系における新興行動をとるため.

主な方法:

  • 統計力学に基づく熱力学フレームワークを開発した.
  • 経験的な採用分布モデルからカノンアンサンブルを構築した.
  • 効果的なポテンシャルを定義し,動的ラグランジアン式を導いた.
  • フィールド理論を用いて,発生する行動を分析した.

主要な成果:

  • このフレームワークは,ゴムペルツ型とマクスウェル・ボルツマン型の均衡分布を生成します.
  • 派生フィールド理論は,イノベーションダイナミクス (抑制,ピーク,減少) の重要な特徴を捉えています.

さらに関連する動画

A System for Tracking the Dynamics of Social Preference Behavior in Small Rodents
08:38

A System for Tracking the Dynamics of Social Preference Behavior in Small Rodents

Published on: November 21, 2019

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models
07:14

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models

Published on: December 23, 2025

関連する実験動画

Last Updated: Jul 12, 2026

The HoneyComb Paradigm for Research on Collective Human Behavior
06:48

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

A System for Tracking the Dynamics of Social Preference Behavior in Small Rodents
08:38

A System for Tracking the Dynamics of Social Preference Behavior in Small Rodents

Published on: November 21, 2019

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models
07:14

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models

Published on: December 23, 2025

  • 効果的な温度,エントロピー,および均衡点が解釈されました.
  • 結論:

    • 熱力学的枠組みは,イノベーションの採用と放棄のダイナミクスを成功裏にモデル化しています.
    • 社会技術的システムは,ハイブリッドの熱力学-統計的サインを示します.
    • このアプローチは,複雑なシステムにおける新興行動に関する新しい洞察を提供します.