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Human-Robot Emotional Interaction Model Based on Reinforcement Learning

Cybersecurity and Cyberforensics Conference
Emotional interaction is pivotal in fostering collaboration between humans and robots. Current paradigm in humanrobot interaction predominantly addresses physical aspects, overlooking the nuanced emotional dynamics inherent in the interaction.
Dan Chenl   +3 more
semanticscholar   +1 more source

A Commentary on “Positive Psychology and Indian Psychology: In Need of Mutual Reinforcement”

Psychological Studies, 2014
For those who consider Indian Psychology (IP) a cause worthy of support, comparing IP with Positive Psychology (PP) is a compelling, but at first sight rather embarrassing exercise. Though these two approaches to psychology started roughly at the same time with similar-looking intentions, PP has made by now a major impact in terms of published papers ...
openaire   +1 more source

Revised Reinforcement Sensitivity Theory: Implications for psychopathology and psychological health

Personality and Individual Differences, 2013
We examined the utility of revised Reinforcement Sensitivity Theory (r-RST) in comparison with original Reinforcement Sensitivity Theory (o-RST) in further understanding psychopathology and well-being. In line with theory, we found o-BIS to be a non-specific predictor of anxiety and stress whereas r-BIS and r-FFFS scales were predictors of anxiety and ...
Harnett, Paul H.   +2 more
openaire   +2 more sources

Cyberbullying Analysis in Behaviorism Psychology Perspective

Abdi Psikonomi
This study aims to analyze the phenomenon of Cyberbullying through the perspective of behavioral psychology, focusing on how bullying behavior is formed and maintained in cyberspace.
Muhammad Roby
semanticscholar   +1 more source

Psychological and Neuroscientific Connections with Reinforcement Learning

2012
The field of Reinforcement Learning (RL) was inspired in large part by research in animal behavior and psychology. Early research showed that animals can, through trial and error, learn to execute behavior that would eventually lead to some (presumably satisfactory) outcome, and decades of subsequent research was (and is still) aimed at discovering the
openaire   +1 more source

Transfer of Knowledge and Forgetting in Islamic Religious Educational Psychology

IJIP Indonesian Journal of Islamic Psychology
This study aims to examine the phenomenon of learning transfer and forgetting within the context of Islamic Religious Education from the perspective of educational psychology.
Faisal Amir Toedien   +2 more
semanticscholar   +1 more source

The Psychology of Habit Change: A Behavioral Science Perspective on Meditation as a Mechanism of Change

JOURNAL OF PSYCHOLOGY & BEHAVIORAL SCIENCE
This review critically examines how meditation, particularly mindfulness-based practices, contributes to habit change through mechanisms grounded in behavioral science. Drawing on dual-process theories, reinforcement learning, and self-regulation models,
Amira Arora
semanticscholar   +1 more source

A novelty psychological cognition behaviour model based on reinforcement learning

International Journal of Reasoning-based Intelligent Systems, 2019
The goal of the paper is to effectively illustrate psychological cognition behaviours using the reinforcement learning. Combined with the trust behaviour of human society, an reinforcement learning model based on human trust habits is put forward: 1) self-adaptive overall knowability decision-making method based on the historical evidence window is ...
Shiyong Liu, Ruosong Chang, Sang Fu
openaire   +1 more source

USE OF A DECREASING REINFORCEMENT CONTINGENCY IN A PERSONALIZED PSYCHOLOGY COURSE

2023
Source: Masters Abstracts International, Volume: 15-02, page: 1160.
openaire   +1 more source

Psychological Restrain for Fault Detection in Reinforcement Learning

2023 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS), 2023
Himanshi Phour   +2 more
openaire   +1 more source

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