Related Experiment Video
Updated: Jul 11, 2026

05:41
A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis
Published on: February 6, 2020
Efficiency optimization of enterprise resource planning based on deep reinforcement learning: achieving more
1College of Humanities and Foreign Languages, Xi'an University of Science and Technology, Xi'an, 710054, China. xidong@xust.edu.cn.
Scientific Reports
|April 10, 2026
Summary
No abstract available in PubMed .
Related Concept Videos
Law of Effect
B.F. Skinner, a prominent figure in behavioral psychology, introduced operant conditioning by emphasizing the role of consequences in shaping behavior. This theory builds upon the law of effect proposed by Edward Thorndike, which posits that behaviors followed by satisfying outcomes are likely to be repeated. In contrast, those followed by unsatisfying outcomes are less likely to recur.
Edward Thorndike's foundational work involved studying learning in animals, particularly using puzzle boxes...
Edward Thorndike's foundational work involved studying learning in animals, particularly using puzzle boxes...
Reinforcement
Positive and negative reinforcement are key concepts in operant conditioning, a learning process where the consequences of a behavior affect the likelihood of that behavior being repeated.
Positive reinforcement occurs when a behavior is followed by the presentation of a rewarding stimulus, increasing the frequency of that behavior. For example:
Positive reinforcement occurs when a behavior is followed by the presentation of a rewarding stimulus, increasing the frequency of that behavior. For example: