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Systems, 2023 To more effectively solve the complex optimization problems that exist in nonlinear, high-dimensional, large-sample and complex systems, many intelligent optimization methods have been proposed.
Wenya Huang, Youjin Liu, Xizheng Zhang
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Reinforcement Learning Inspired by Psychology and Neuroscience
Journal of Education, Humanities and Social Sciences, 2023 Decision-making is a crucial intelligence shared by animals and humans and it helps them to act in an intricate environment to seek rewards and avoid punishments.
Hongkun Wu
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Reinforcement Learning: A Survey [PDF]
Journal of Artificial Intelligence Research, 1996 This paper surveys the field of reinforcement learning from a computer-science perspective. It is written to be accessible to researchers familiar with machine learning.
Kaelbling, L. P. +2 more
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Behavioral SciencesSocial media addiction has become a global public health challenge, and understanding its mechanism’s complexity requires the integration of the transitional characteristics of addiction development stages and breaking through the traditional single ...
Jingsong Wang, Shen Wang
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ChatGPT: perspectives from human–computer interaction and psychology
Frontiers in Artificial IntelligenceThe release of GPT-4 has garnered widespread attention across various fields, signaling the impending widespread adoption and application of Large Language Models (LLMs). However, previous research has predominantly focused on the technical principles of
Jiaxi Liu
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A new paradigm to study social and physical affordances as model-based reinforcement learning
Cognitive RoboticsSocial affordances, although key in human-robot interaction processes, have received little attention in robotics. Hence, it remains unclear whether the prevailing mechanisms to exploit and learn affordances in the absence of human interaction can be ...
Augustin Chartouny +3 more
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An Overview of Cooperative Multi-Agent Deep Reinforcement Learning [PDF]
Hangkong bingqi, 2022 Multi-agent system is a distributed decision-making system composed of multi-agents interacting with environment, which is an important research direction of distributed artificial intelligence.
Zou Qijie, Jiang Yajun, Gao Bing, Li Wenxue, Zhang Rubo
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Frontiers in Psychology, 2021 Previous research has shown that sending personalized messages consistent with the recipient's psychological profile is essential to activate the change toward a healthy lifestyle.
P. Catellani, V. Carfora, M. Piastra
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How does platform's fintech level affect its word of mouth from the perspective of user psychology?
Frontiers in Psychology, 2023 IntroductionThe rapid development of fintech has brought opportunities for business operations and economic development. Currently, few researches have focused on how fintech level affects word-of-mouth (WOM) from the perspective of user psychology ...
Yongli Li +4 more
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Behavioral Activation Therapy on Reward Seeking Behaviors in Depressed People: An Experimental study [PDF]
Journal of Caring Sciences, 2020 Introduction: Behavioral activation therapy (BAT) is designed to help individuals’ approach and access sources of positive reinforcement in their life, which can serve a natural antidepressant function and efforts to help depressed people reengage in ...
Alireza Karimpour-Vazifehkhorani +4 more
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