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Article
Open AccessImproving Knowledge Learning Through Modelling Students’ Practice-Based Cognitive Processes
Practice is an essential means by which humans and animals engage in cognitive activities. Intelligent tutoring systems, with a crucial component of modelling learners’ cognitive processes during learning and ...
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Article
Open AccessDiscovering a cohesive football team through players’ attributed collaboration networks
The process of team composition in multiplayer sports such as football has been a main area of interest within the field of the science of teamwork, which is important for improving competition results and gam...
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Article
Open AccessModelling other agents through evolutionary behaviours
Modelling other agents is a challenging topic in artificial intelligence research particularly when a subject agent needs to optimise its own decisions by predicting their behaviours under uncertainty. Existin...
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Chapter and Conference Paper
Learning a Typhoon Bayesian Network Structure from Natural Language Reports
Given the huge toll caused by natural disasters, it is critically important to develop an effective disaster management and emergency response technique. In this article, we investigate relationships between t...
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Chapter and Conference Paper
Exploiting Spatial Attention and Contextual Information for Document Image Segmentation
We propose a new framework of combining an attention mechanism with a conditional random field to deal with a document image segmentation task. The framework aims to recognize homogeneous regions, e.g. text, f...
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Article
Open AccessToward data-driven solutions to interactive dynamic influence diagrams
With the availability of significant amount of data, data-driven decision making becomes an alternative way for solving complex multiagent decision problems. Instead of using domain knowledge to explicitly bui...
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Article
Approximating behavioral equivalence for scaling solutions of I-DIDs
Interactive dynamic influence diagram (I-DID) is a recognized graphical framework for sequential multiagent decision making under uncertainty. I-DIDs concisely represent the problem of how an individual agent ...
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Chapter and Conference Paper
Learning Agents’ Relations in Interactive Multiagent Dynamic Influence Diagrams
Solving interactive multiagent decision making problems is a challenging task since it needs to model how agents interact over time. From individual agents’ perspective, interactive dynamic influence diagrams ...
