Graduation Year
2022
Document Type
Dissertation
Degree
Ph.D.
Degree Name
Doctor of Philosophy (Ph.D.)
Degree Granting Department
Philosophy
Major Professor
Stephen Turner, Ph.D.
Co-Major Professor
Wei Zhang, Ph.D.
Committee Member
John Licato, Ph.D.
Committee Member
Alex Levine, Ph.D.
Committee Member
William Goodwin, M.S.M.E.
Keywords
Analogy, Artificial Intelligence, Buddhist Philosophy, Kuhn, Process Metaphysics
Abstract
Communicating interdisciplinary information is difficult, even when two fields are ostensibly discussing the same topic. In this work, I’ll discuss the capacity for analogical reasoning to provide a framework for developing novel judgments utilizing similarities in separate domains. I argue that analogies are best modeled after Paul Bartha’s By Parallel Reasoning, and that they can be used to create a Toulmin-style warrant that expresses a generalization. I argue that these comparisons provide insights into interdisciplinary research. In order to demonstrate this concept, I will demonstrate that fruitful comparisons can be made between Buddhism and Artificial Intelligence research.
Scholar Commons Citation
Cooper, Michael, "Interdisciplinary Communication by Plausible Analogies: the Case of Buddhism and Artificial Intelligence" (2022). USF Tampa Graduate Theses and Dissertations.
https://digitalcommons.usf.edu/etd/9326
