Reinforcement
Reinforcement Schedules
Observational Learning
Primary and Secondary Reinforcers
Avoidance Learning and Learned Helplessness
Associative Learning
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Updated: Sep 18, 2025

The HoneyComb Paradigm for Research on Collective Human Behavior
Published on: January 19, 2019
Haiyang Li1, Ping Yang1, Weidong Liu1
1High-Tech Institute of Xi'an, Xi'an 710038, China.
这项研究结合了多代理强化学习 (MARL) 和游戏理论,灵感来自生物系统. 它增强了集体智能,以便在智能城市等动态环境中进行复杂的决策.
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