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Cognitive Dissonance01:38

Cognitive Dissonance

33.6K
Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...
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Relationship Formation02:12

Relationship Formation

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What do you think is the single most influential factor in determining with whom you become friends and whom you form romantic relationships? You might be surprised to learn that the answer is simple: the people with whom you have the most contact. This most important factor is proximity. You are more likely to be friends with people you have regular contact with. For example, there are decades of research that shows that you are more likely to become friends with people who live in your dorm,...
41.0K
Couples Therapy01:26

Couples Therapy

89
Couples therapy is a therapeutic approach designed to help individuals in intimate relationships address conflicts, improve communication, and foster healthier dynamics. It is appropriate for couples at various stages, including those who are dating, married, or in long-term partnerships, and aims to support partners in navigating their unique relational challenges.
Core Principles and Techniques
Couples therapy often incorporates cognitive-behavioral principles to identify and modify negative...
89
Social Exchange Theory02:06

Social Exchange Theory

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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).
35.4K
Frustration and Conflict: Approach-Approach, Approach-Avoidance01:20

Frustration and Conflict: Approach-Approach, Approach-Avoidance

147
Frustration occurs when people are obstructed or prevented from achieving a desired goal or fulfilling a perceived need. For example, when someone's input is ignored in a discussion, it can lead to feelings of frustration. Conflict, however, arises from opposing interests, goals, or actions. Conflicts can take various forms based on the nature of these opposing desires or goals.
One common type of conflict is the Approach–Approach Conflict. In this case, a person faces two desirable...
147
Self-Discrepancy Theory02:45

Self-Discrepancy Theory

18.4K
One influential perspective on what motivates people's behavior is detailed in Tory Higgin's self-discrepancy theory (Higgins, 1987). He proposed that people hold disagreeing internal representations of themselves that lead to different emotional states.  
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Updated: Sep 10, 2025

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans
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2つの経路は,関係性の不一致を解決する

Tomer Barak1, Yonatan Loewenstein2,3

  • 1The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University, Jerusalem, Israel. tomer.barak@mail.huji.ac.il.

Scientific reports
|August 21, 2025
PubMed
まとめ
この要約は機械生成です。

予期せぬ情報に直面すると 人と人工ニューラルネットワーク (ANN) は 根本的な信念を変えるのを拒むかもしれません 極端な違反は 異なる学習メカニズムを誘発し 既存の期待を保持します

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Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
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Task Interruption and Resumption Paradigm for Testing the Activation and Pursuit of an Abstract Thinking Goal
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Last Updated: Sep 10, 2025

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科学分野:

  • 認知科学
  • 計算神経科学
  • 機械学習

背景:

  • 矛盾する観察にもかかわらず,個人はしばしば以前の期待を維持します.
  • 逆説的に 期待の極端な違反は 変化に対するより大きな抵抗と出会います

研究 の 目的:

  • 観察上の違反に直面して期待の適応を支えるメカニズムを調査する.
  • 人工ニューラルネットワーク (ANN) が関係性学習で同様の現象を示すかどうかを調べる.

主な方法:

  • リレーショナル・ラーニング・タスクの訓練を受けたANNの適応能力をテストする.
  • 違反した観測の大きさに基づいてANNが期待を調整する方法を分析する.

主要な成果:

  • ANNは人間に似たパターンを示します 小さな違反は関係性期待の調整につながります
  • ANNの大きな違反は,リレーショナル・アダプテーションを回避して,オブジェクト表現のシフトを誘発します.
  • これは生物学的システムと人工的なシステムの間で 統一された学習のダイナミクスを示唆しています

結論:

  • 学習のダイナミクスの自然な結果です.
  • この観察された安定性を説明するために,追加の認知メカニズムは必要ありません.
  • 中間の適応ステップは,以前の期待の強さに影響を与える可能性があります.