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Full-Text Articles in Engineering
The Great Equalizer Or A Modern Iteration Of Historical Inequality: Artificial Intelligence In Latin America, Santana Amaker
The Great Equalizer Or A Modern Iteration Of Historical Inequality: Artificial Intelligence In Latin America, Santana Amaker
Honors Theses
In recent years, governments across Latin America have taken steps to foster the development and implementation of artificial intelligence causing an expansion of the use of AI in the region. For instance, countries like Colombia and Argentina are using AI in their judicial systems. Superficially, the allure of AI in the judicial system stems from the thought that AI is an impartial entity that will pass fair and unbiased judgement. However, just like the programmers responsible for creating AI, algorithms used in AI system can be biased. The reason being AI is often trained to make predictions or decisions based …
A Study Of Deep Reinforcement Learning In Autonomous Racing Using Deepracer Car, Mukesh Ghimire
A Study Of Deep Reinforcement Learning In Autonomous Racing Using Deepracer Car, Mukesh Ghimire
Honors Theses
Reinforcement learning is thought to be a promising branch of machine learning that has the potential to help us develop an Artificial General Intelligence (AGI) machine. Among the machine learning algorithms, primarily, supervised, semi supervised, unsupervised and reinforcement learning, reinforcement learning is different in a sense that it explores the environment without prior knowledge, and determines the optimal action. This study attempts to understand the concept behind reinforcement learning, the mathematics behind it and see it in action by deploying the trained model in Amazon's DeepRacer car. DeepRacer, a 1/18th scaled autonomous car, is the agent which is trained …
The Exploration And Analysis Of Mancala From An Ai Perspective, Trevon J. Hunter
The Exploration And Analysis Of Mancala From An Ai Perspective, Trevon J. Hunter
Honors Theses
Through the study of popular games such as Chess and Go, countless artificial intelligence (AI) research has been conducted in an attempt to create algorithms equipped for adversarial search problems. However, there are still a plethora of avenues that offer insight into further development. Mancala is traditionally a two-player board game that originated in the East and offers a unique opponent-based playing experience. This thesis not only attempts to create a competitive AI algorithm for mancala games by analyzing the performance of several different algorithms on this classic board game, but it also attempts to extract applications that may have …