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An agent-based persuasion model using emotion-driven concession and multi-objective optimization
Multi-attribute negotiation is essentially a multi-objective optimization (MOO) problem, where models of agent-based emotional persuasion (EP) can...
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The complex network patterns of human migration at different geographical scales: network science meets regression analysis
Migration’s influence in sha** population dynamics in times of impending climate and population crises exposes its crucial role in upholding...
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From time series to networks in R with the ts2net package
Network science established itself as a prominent tool for modeling time series and complex systems. This modeling process consists of transforming a...
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High School English Teachers Reflect on Their Talk: A Study of Response to Automated Feedback with the Teacher Talk Tool
We present the Teacher Talk Tool, which automatically analyzes classroom audio and provides formative feedback on key aspects of teachers’ classroom...
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Towards a generic agent-based vector-host model: effects of carrying capacity and host mobility
The aim of our work is to develop a generic conceptual agent-based model to formalize the interaction of vector and host given climate change. The...
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How Can I Get It Right? Using GPT to Rephrase Incorrect Trainee Responses
One-on-one tutoring is widely acknowledged as an effective instructional method, conditioned on qualified tutors. However, the high demand for...
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Development of a leech-inspired peristaltic crawling soft robot for intestine inspection
The development of a non-destructive and patient-friendly method for examining the intestines is crucial for early prevention and timely diagnosis of...
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Analyzing breast cancer comorbidities: a network approach using community detection algorithms
Breast cancer is a prominent global health concern, as the data from the International Agency for Research on Cancer (IARC) shows that breast cancer...
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The mediating role of mobile learning motivation in the relationship between pre-service teachers’ digital literacy and pre-service teacher identity
This study is significant as it seeks to establish the connection between the digital literacy levels of pre-service teachers and their teacher...
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From large language models to small logic programs: building global explanations from disagreeing local post-hoc explainers
The expressive power and effectiveness of large language models (LLMs) is going to increasingly push intelligent agents towards sub-symbolic models...
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Multi-task scheduling in vehicular edge computing: a multi-agent reinforcement learning approach
Vehicular Edge Computing (VEC) represents a computational paradigm designed to optimize vehicular performance and enhance vehicle services. It...
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Optimization of Information Retrieval Systems for Learning Contexts
The majority of Sub-Saharan African countries are facing a very negative teacher-learner ratio: one teacher for over 120 learners. In order to...
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Recent advances in 3D Gaussian splatting
The emergence of 3D Gaussian splatting (3DGS) has greatly accelerated rendering in novel view synthesis. Unlike neural implicit representations like...
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Analyzing resilient attention management of expert operators using functional resonance analysis method
Manufacturing worksites have developed to have a socio-technical aspect with complex interactions between human operators, automated machines, and...
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Navigating in a space of game views
Game-theoretic modeling entails selecting the particular elements of a complex strategic situation deemed most salient for strategic analysis....
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Robot remote control using virtual reality headset: studying sense of agency with subjective distance estimates
Mobile robots have many applications in the modern world. The autonomy of robots is increasing, but critical cases like search and rescue missions...
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Experimental guidance and feedback via operation intention prediction with effect analysis in chemistry labs
To optimize learning experience and improve learning performance, current virtual experimental systems usually assist students with stepwise guidance...
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Applications of deep learning method of artificial intelligence in education
Intersection of education and deep learning method of artificial intelligence (AI) is gradually becoming a hot research field. Education will be...
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DyHANE: dynamic heterogeneous attributed network embedding through experience node replay
With real-world network systems typically comprising a large number of interactive components and inherently dynamic, Graph Continual Learning (GCL)...
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Breaking boundaries: Enhancing dance learning through virtual reality innovation
Virtual Reality technology (VRT) has rapidly evolved in recent years, revolutionizing various industries by providing immersive and interactive...
