Volume 3, Issue 3, pages 78-99
Tom Campbell, born in the USA in 1944, earned his BS degree (Cum Laude) in 1966 with majors in both Mathematics and Physics. While an undergraduate, Tom became the president of his fraternity and chief Justice of the college’s student court. Tom was awarded a master’s degree in Physics from Purdue university in 1968 after which PhD work commenced at the University of Virginia with a specialization in experimental nuclear physics. Campbell was an analyst with Army technical intelligence for a decade before moving into the research and development of technology supporting defensive missile systems. He also worked as a consultant for NASA within the Ares I program assessing and solving problems of system risk and survivability to insure crew survivability and mission success. Campbell published a trilogy My Big TOE (MBT) in 2003 that offered a fully complete cosmology based on the simulation hypothesis including a theory of consciousness, and a derivation of both relativity and Quantum Mechanics from one overarching set of principles. Furthermore, Campbell’s theory eliminates any nonlocal "weirdness"…. replacing it with a completely rational and logical causal process as found in all other subsets of science. MBT has been successful at solving many outstanding fundamental paradoxes within physics in particular, science in general, and within several other major fields of study including: philosophy (cosmology, epistemology, ontology), psychology (mind models), mathematics (cellular automata and evolution as process fractals), medicine (mind-body connection), biology (math & other anomalies), and theology (source). In October 2016, Campbell presented, in Los Angeles CA (MBT-LA), a set of quantum experiments that would support his theory if they worked as predicted (available on DVD upon request or on YouTube). Fortunately, these experiments are relatively inexpensive and not particularly difficult to perform.
Houman Owhadi is Professor of Applied & Computational Mathematics and Control and Dynamical Systems in the Computing and Mathematical Sciences Department at the California Institute of Technology. His work lies at the interface between applied mathematics, probability and statistics. At the center of his work are fundamental problems such as the optimal quantification of uncertainties in presence of limited information, statistical inference/game theoretic approaches to numerical approximation and algorithm design, multiscale analysis with non-separated scales, and the geometric integration of structured stochastic systems.
Joe Sauvageau received a M.A, and Ph.D. from Stony Brook University in New York in Applied Physics in 1987. He is currently serving as a Senior Systems Manager at the NASA Jet Propulsion Laboratory in Pasadena, CA in the Astronomy, Physics and Space Technology Office. His career experience has spanned scientific pursuits as a government scientist at NIST studying superconducting quantum devices; industrial physics and engineering development in the semiconductor, optoelectronics and photonics industries; and leading the optical engineering design, development and deployment of next generation optical instruments including visible and infrared imaging sensors for space and airborne applications. He was the recipient of the Rotary National Award for Space Achievement (RNASA) Stellar Award in 2013, Aviation Week Technical Program Excellence Award and an IEEE Outstanding Engineer of the Year Award in 2012 associated with the design and development of a multispectral sensor payload currently in geosynchronous orbit. He has also served in various senior management positions ranging from start-ups through Fortune 500 companies and he has held positions on several Technical Advisory Boards. His publication portfolio includes four patents and a multitude of articles and technical reports in journals.
Can the theory that reality is a simulation be tested? We investigate this question based on the assumption that if the system performing the simulation is finite (i.e. has limited resources), then to achieve low computational complexity, such a system would, as in a video game, render content (reality) only at the moment that information becomes available for observation by a player and not at the moment of detection by a machine (that would be part of the simulation and whose detection would also be part of the internal computation performed by the Virtual Reality server before rendering content to the player). Guided by this principle we describe conceptual wave/particle duality experiments aimed at testing the simulation theory.