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- 1Ewalds, Timo V
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- 1Long, Jeffrey Richard
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Enhanced Model Tree Application Framework for Developing Interpretable AI in Construction EngineeringDownload
The construction industry has been and continues to be overflown with data. Scholars have no problems dealing with this phenomenon through the incorporation of artificial intelligence (AI) methods like neural networks or random forests. However, when the time comes to practical application, the...
Artificial Intelligence (AI) is a technology that is quickly becoming part of our digital infrastructure and woven into aspects of daily life. AI has the potential to impact society in many positive ways. However, there are numerous examples of AI systems that are operating in ways that are...
Havannah is a recent game that is interesting from an AI research perspective. Some of its properties, including virtual connections, frames, dead cells, draws and races to win, are explained. Monte Carlo Tree Search (MCTS) is well suited to play Havannah, but many improvements are possible....
Redefining the tool condition monitoring: A framework for machining quality prediction and tool life managementDownload
Tool wear morphology is one of the established topics in the field of manufacturing. Wear morphology monitoring offers significant information about the machining process such as, the condition of the tool and the quality of the machined component, but the information has not been utilized to its...
In this dissertation we discuss problems of search, inference and opponent modelling in imperfect information games in the context of creating a computer player for the popular german card game skat. In so doing, we demonstrate three major contributions to the field of artificial intelligence...
SSHRC IG awarded 2020: the goal of this project is to uncover the work and decisions involved in collecting, organizing, and changing the data used by algorithms, using business ethnographic methodology. This understanding is ultimately critical to revealing how algorithms work, and to revealing...