関連する概念動画
Associative Learning
572
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
Classical conditioning, also known...
572
Introduction to Learning
530
Learning is the process of acquiring knowledge or skills through practice or experience, leading to long-lasting behavioral changes. This acquisition occurs through interaction with the environment and requires practice or experience. For instance, mastering a skill such as surfing requires considerable practice and experience, highlighting the essential role of repeated interactions with the environment in learning.
In contrast to learned behaviors, unlearned behaviors such as crying, sexual...
In contrast to learned behaviors, unlearned behaviors such as crying, sexual...
530
Observational Learning
311
Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
311
Natural and Artificial Concepts
265
In psychology, concepts can be divided into two categories: natural and artificial. Natural concepts are formed through direct or indirect experiences. For example, consider the concept of snow. If you live in a place with regular snowfall, such as Essex Junction, Vermont, you know snow through direct experiences. You’ve seen it fall, touched it, shoveled it, and played in it. You recognize its texture, appearance, and even its smell. In contrast, if you live on an island like Saint...
265
Generalization, Discrimination, and Extinction
785
Generalization, discrimination, and extinction are key concepts in operant conditioning that influence how behaviors are learned and maintained.
Generalization occurs when a behavior reinforced in one context is performed in similar situations. For instance, a student who studies diligently for calculus and receives excellent grades might apply the same study habits to psychology and history, expecting similar results. Generalization shows how learning in one setting can influence behavior in...
Generalization occurs when a behavior reinforced in one context is performed in similar situations. For instance, a student who studies diligently for calculus and receives excellent grades might apply the same study habits to psychology and history, expecting similar results. Generalization shows how learning in one setting can influence behavior in...
785
Cognitive Learning
517
Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
517
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
[Research on the changing trends of filter inlet pressure and extracorporeal circuit coagulation degree in patients with sepsis-induced coagulopathy undergoing continuous renal replacement therapy].
Zhonghua wei zhong bing ji jiu yi xue·2026
Same author
Determination of non-volatile metabolic profiles and their sensory relevance in different grades of brandy through widely targeted metabolomics.
Food chemistry: X·2026
Same author
The Clinical Utility of Whole-Exome Sequencing in the Prenatal Diagnosis of Fetal Skeletal Dysplasia.
International journal of women's health·2026
Same author
LearnMat: Semantic-Aware Self-Supervision Fine-Grained Visual Recognition.
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author
Accurate Industrial Anomaly Detection and Localization Using Weakly-Supervised Residual Transformers.
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal
Relation DETR+: Exploring Explicit Position Relation Prior for Dense Prediction.
IEEE transactions on pattern analysis and machine intelligence·2026
Same journal
RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning.
IEEE transactions on pattern analysis and machine intelligence·2026
Same journal
CAFE: Cross-View Adaptive Fusion and Cluster Center Enhancement for Robust Multi-View Clustering.
IEEE transactions on pattern analysis and machine intelligence·2026
Same journal
DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving.
IEEE transactions on pattern analysis and machine intelligence·2026
Same journal
Ethics-Aware Safe Reinforcement Learning for Rare-Event Risk Control in Interactive Urban Driving.
IEEE transactions on pattern analysis and machine intelligence·2026
Same journal
Learning Shape Anchors for Holistic Indoor Scene Understanding.
IEEE transactions on pattern analysis and machine intelligence·2026
