YoVDO

Consciousness and Free Will - A Physical Hypothesis for Distinguishing Humans from AI

Offered By: Models of Consciousness Conferences via YouTube

Tags

Models of Consciousness Courses Artificial Intelligence Courses Consciousness Courses Free Will Courses Quantum Physics Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a groundbreaking physical hypothesis for free will and consciousness that aims to differentiate humans from contemporary AI in this 33-minute conference talk. Delve into two key postulates: the brain's utilization of quantum processes for energy efficiency and the concept of processing over physically real parallel worlds as the source of quantum computing's advantage. Examine the speaker's unique interpretation of quantum physics, known as Invariant Set Theory, which views the wavefunction as an ensemble of state-space trajectories within a dynamically invariant fractal subset of state space. Investigate the hypothesis that human cognition possesses a weak perception of physically real alternative worlds, creating a sense of semi-independent existence. Consider how this perception of free will and consciousness might be exclusive to humans and unavailable to AI systems running on classical computers. Analyze the non-computable geometries of invariant sets in chaotic systems and their potential support for Penrose's claim that human consciousness involves inherently non-computable processes.

Syllabus

Tim Palmer - Consciousness and free will: A physical hypothesis for distinguishing Humans from AI


Taught by

Models of Consciousness Conferences

Related Courses

Exploring Quantum Physics
University of Maryland, College Park via Coursera
Unpredictable? Randomness, Chance and Free Will
National University of Singapore via Coursera
Statistical Mechanics: Algorithms and Computations
École normale supérieure via Coursera
Graphene Science and Technology
Chalmers University of Technology via edX
Физика как глобальный проект
National Research Nuclear University MEPhI via Coursera