AIMC Topic: Cooperative Behavior
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The Practical, Robust Implementation and Sustainability (PRISM)-capabilities model for use of Artificial Intelligence in community-engaged implementation science research.
Implementation science : IS
Aug 7, 2025
BACKGROUND: Community-engaged research (CER) leverages knowledge, insights, and expertise of researchers and communities to address complex public health challenges and improve community well-being. CER fosters collaboration throughout all research p...
Federated fault diagnosis method for collaborative self-diagnosis and cross-robot peer diagnosis.
PloS one
Jul 23, 2025
In multi-robot collaboration, individual failures can propagate to other robots due to the topological coupling between them. Existing fault diagnosis models are designed for single robots and fail to meet the practical requirements of multi-robot sc...
Resource trading strategies with risk selection in collaborative training market.
PloS one
Jul 21, 2025
The rapid development of edge computing and artificial intelligence has brought growing interest in collaborative training. While prior research has addressed technical aspects of resource allocation, less attention has been paid to the underlying ec...
IKEA effect and empathy for robots: Can assembly strengthen human-agent relationships?
PloS one
Jul 9, 2025
Cooperative relationships between humans and agents are becoming more important for the social coexistence of anthropomorphic agents, including virtual agents and robots. One way to improve the relationship between humans and agents is for humans to ...
Understanding dimensions of trust in AI through quantitative cognition: Implications for human-AI collaboration.
PloS one
Jul 2, 2025
Human-AI collaborative innovation relies on effective and clearly defined role allocation, yet empirical research in this area remains limited. To address this gap, we construct a cognitive taxonomy trust in AI framework to describe and explain its i...
Student perceptions of GenAI as a virtual tutor to support collaborative research training for health professionals.
BMC medical education
Jul 1, 2025
BACKGROUND: Research and evaluation skills are essential in healthcare education. Instructors frequently employ collaborative learning models to teach these competencies; however, delivering timely and personalized feedback to multiple groups can be ...
Mapping the landscape: A bibliometric analysis of AI and teacher collaboration in educational research.
F1000Research
May 1, 2025
BACKGROUND: This study intends to investigate the relationship between artificial intelligence and teachers' collaboration in educational research in response to the growing use of technologies and the current status of the field.
Human-generative AI collaboration enhances task performance but undermines human's intrinsic motivation.
Scientific reports
Apr 29, 2025
In a series of four online experimental studies (total N = 3,562), we investigated the performance augmentation effect and psychological deprivation effect of human-generative AI (GenAI) collaboration in professional settings. Our findings consistent...
Collaborative twin actors framework using deep deterministic policy gradient for flexible batch processes.
Neural networks : the official journal of the International Neural Network Society
Apr 12, 2025
Due to its inherent efficiency in the process industry for achieving desired products, batch processing is widely acknowledged for its repetitive nature. Batch-to-batch learning control has traditionally been esteemed as a robust strategy for batch p...
CoHet4Rec: A recommendation for collaborative heterogeneous information networks.
PloS one
Apr 9, 2025
Recommender Systems (RS) aim to predict users' latent interests in items by learning embeddings from user-item graphs. Graph Neural Networks (GNNs) have significantly advanced RS by enabling the embedding of graph-structured data. However, relying so...
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