Browsing by Subject "artificial intelligence"
Now showing items 1-7 of 7
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Analyzing Optimal Performance of Evolutionary Search with Restart as Problem Complexity Changes
(Oklahoma State University, 2006-12-01)This research explores how the complexity of a problem domain affects the performance of an evolutionary search using a performance-based restart policy. Previous research indicates that using a restart policy to avoid ... -
Connectionism, Chinese Rooms, and Intuition Pumps
(Oklahoma State University, 2014-05-01)John Searle's famous Chinese Room argument is perhaps the most well-known attack on computational views of mind. At the center of this argument is a thought experiment in which the reader (thinker) is lead to an intuition ... -
Drilling optimization of a Caney shale well using offset well drilling data
(2021-12)Cost reduction can be achieved by utilizing drilling simulators to efficiently optimize new wells to be drilled using available adjacent or offset well drilling data. Different approaches involving simulators that use ... -
Examination of risks in AI/ML applications
(2022-05)Artificial Intelligence (AI) and Machine Learning (ML) systems powered by Natural Language Processing (NLP) and Computer Vision (CV) are permeating across industries and in our daily lives. Due to novelty of technology, ... -
Interpreting natural language processing (NLP) models and lifting their limitations
(2021-07)There have been many advances in the artificial intelligence field due to the emergence of deep learning and big data. In almost all sub-fields, artificial neural networks have reached or exceeded human-level performance. ... -
Understanding affective trust in AI: The effects of perceived benevolence
(2022-12)The primary objective of this research was to gain understanding of affective trust in AI (how comfortable individuals feel with various AI applications). This dissertation tested a model for affective trust in AI grounded ... -
Using Big Data Analytics and Statistical Methods for Improving Drug Safety
(2019-05-01)This dissertation includes three studies, all focusing on utilizing Big Data and statistical methods for improving one of the most important aspects of health care, namely drug safety. In these studies we develop data ...