Ignoring timescales and computational complexity, how is human level intelligence even possible? What really happened during the “Great Leap” into modern human behavior? What evidence is necessary to create a theoretical model for any agent’s behavior?

– Utilize experimental findings and evidence from archaeological artifacts, animal cognition, and primate research. 

– Investigate these cognitive milestones via research from neuroscience, psychology, and evolutionary biology.

– Validate cognitive functions and behavioral capacity by analyzing it’s mathematical and computational viability.

What logic operates on our experiences to create intelligent behavior?


Below is an outline for a forthcoming research paper. All content is unpublished and work in-progress drafts.

Towards a General Theory of Mind

Overview & Infographics & An Evolutionary Explanation for the AGI Threat


1.0  Introduction: General Theory of Mind

2.0  Distinctions of Consciousness

2.1  Social Evolution

3.0  Free Will and Rationality

3.1  Consciousness as a Normalizer

4.0  Mathematical Nature of Hard and Easy Problem

4.1  Phenomenal Experience

4.2  Awareness and Access Consciousness

5.0  Brain Plasticity and Consciousness

5.1  Role of Memory

5.2  Stimuli and Value

6.0  Conceivability: Zombies and Strong AI

6.1  Feasibility of AI

7.0  Ethics & Future Outlook for AI Research

As worldwide research efforts ramp up, ethical concerns of abuse with adult and child subjects is the immediate threat. In terms of future impact, massive investments from private and government sectors is analogous to the still on-going nuclear arms race.

8.0  Metaphysics


In collaboration with Cognitive Algorithms Laboratory


Patel, Suketu. “An Evolutionary Based Mathematical Model for Consciousness.” ASSC 16. Association of the Scientific Study of Consciousnes. Sackler Centre for Consciousness Science, University of Sussex, Brighton, UK. 5 July. 2012. Poster presentation. Page 132


Consilience – Consilience is the key to unification. The word “consilience” was first used by the philosopher and historian of science William Whewell in 1840. It refers to a “jumping together” of knowledge by the linking of facts and fact-based theory across disciplines to create a common groundwork of explanation.