School
College of Arts and Sciences; School of Business
Major
Computer Science; Philosophy
Keywords
Artificial General Intelligence, Mind-Body problem, Gödel Statements, Gödel’s Incompleteness Theorems, Interactionism, Occasionalist Quantum Idealism, Machine Learning, Natural Language Processing
Disciplines
Artificial Intelligence and Robotics | Philosophy of Mind
Recommended Citation
Parks, Caleb, “Artificial General Intelligence and the Mind-Body Problem: Exploring the Computability of Simulated Human Intelligence in Light of the Immaterial Mind” (2024). Senior Honors Theses. 1415.
https://digitalcommons.liberty.edu/honors/1415
Abstract
In this thesis I explore whether achieving artificial general intelligence (AGI) through simulating the human brain is theoretically possible. Because of the scientific community’s predominantly physicalist outlook on the mind-body problem, AGI research may be limited by erroneous foundational presuppositions. Arguments from linguistics and mathematics demonstrate that the human intellect is partially immaterial, opening the door for novel analysis of the mind’s simulability. I categorize mind-body problem philosophies in a manner relevant to computer science based upon state transitions, and determine their ramifications on mind-simulation. Finally, I demonstrate how classical architectures cannot resolve so-called Gödel statements, discuss why this inability is inherent to all formal axiomatic systems, and review arguments derived from this observation about the computability of human intelligence.
