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Skip to Search Results- 8Heuristics
- 6Monte-carlo tree search
- 2Artificial Intelligence
- 2Artificial intelligence
- 2Heuristic search
- 2Search
- 1Bullot, Nicolas J.
- 1Churchill, David G
- 1Farajmandi, Mahmoud
- 1Hauer, Bradley
- 1Henderson, Philip
- 1Huntley, Daniel A
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Fall 2020
Stope layout optimization is a critical process for the evaluation and optimization of underground mining operations. Conventionally, stopes layouts are either planned manually or optimized using deterministic methods. Developing stochastic approaches to stope optimization is valuable due to the...
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Spring 2016
Algorithmic decipherment is a prime example of a truly unsupervised problem. This thesis presents several algorithms developed for the purpose of decrypting unknown alphabetic scripts representing unknown languages. We assume that symbols in scripts which contain no more than a few dozen unique...
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Fall 2016
Real-time strategy (RTS) video games are known for being one of the most complex and strategic games for humans to play. With a unique combination of strategic thinking and dexterous mouse movements, RTS games make for a very intense and exciting game-play experience. In recent years the games AI...
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Fall 2016
Properly planning module installation on industrial sites is a critical factor in ensuring that projects are delivered safely, on time, and within budget. In industrial modular construction, pre-fabricated modules are installed on site, in specific patterns, based on design documents. Depending...
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Tracking and Controlling Persons: Identification for Control in Cognitive Behaviours and Cultural Practices
DownloadFall 2015
This research aims (i) to demonstrate the unity of the phenomena of person identification and control and (ii) to propose the first philosophical theory that uses a single conceptual framework to describe and explain these phenomena. Chapter 1 introduces the philosophical significance of the...
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eHealth and mHealth Pipelines for Clinical Decision Support to Improve Medication Selection and Safety
DownloadFall 2015
Although much work has been done over the past decade on developing personalized and evidence-based medicine, such as diagnostic tests based on genetics to better predict patients' responses to therapy, stumbling blocks remain that have prevented knowledge, tests, and other pertinent...
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Spring 2015
Rayner, David Christopher Ferguson
Heuristic search is a central problem in artificial intelligence. Among its defining properties is the use of a heuristic, a scalar function mapping pairs of states to an estimate of the actual distance between them. Accurate heuristics are generally correlated with faster query resolution and...
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Spring 2015
In this thesis, I study the problem of Monte-Carlo Planning in deterministic do- mains with sparse rewards. A popular algorithm in this suite, UCT, is studied. A new algorithm to incorporate state generalization in UCT using estimates of sim- ilar nodes and a distance metric is presented. The...
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Fall 2013
Given nothing but the generative model of the environment, Monte Carlo Tree Search techniques have recently shown spectacular results on domains previously thought to be intractable. In this thesis we try to develop generic techniques for temporal abstraction inside MCTS that would allow the...
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Spring 2012
Recent real-time heuristic search algorithms have demonstrated outstanding performance in video game pathfinding. However, their applications have been thus far limited to that domain. We proceed with the aim of facilitating wider applications of real-time search by fostering a greater...