“The Future of Intelligence: The Central Meaning-Making Unit of Intelligence in the Mind, the Brain, and Artificial Intelligence”, 2021-07 (; backlinks):
General intelligence (g) is empirically by powerful, reliable, and predictive of life outcomes.
- g involves meaning making and control mechanisms constrained by representational constraints.
Meaning making comprises search, vary, align, abstract, and cognize processes yielding a Language of Thought (LoT).
- g changes in according to developments priorities, enhancing LoT.
LoT involves a relational integration network ran by an underlying neural network.
This paper focuses on general intelligence, g. We first point to broadly accepted facts about g: it is robust, reliable, and sensitive to learning. We then summarize conflicting theories about its nature and development (Mutualism, Process Overlap Theory, and Dynamic Mental Field Theory) and suggest how future research may resolve their disputes.
A model is proposed for g involving a core meaning-making mechanism, noetron, drawing on Alignment, Abstraction, and Cognizance, perpetually generating new mental content. Noetron develops through several levels of control: episodic ➔ attentional ➔ inferential ➔ truth ➔ epistemic control in infancy, preschool, childhood, adolescence, and adulthood, respectively.
Finally, we propose an agenda for future brain research, assuming a brain noetron, and artificial intelligence research, assuming an artificial noetron, that might uncover the underlying brain mechanisms of g and generate artificial general intelligence.
[Keywords: general intelligence, mutualism, Process Overlap Theory, noetron, brain functions, artificial intelligence]
See Also:
Cognitive correlates of general intelligence: Toward a process theory of g
The neural basis of intelligence in fine-grained cortical topographies
Multi-Task Brain Network Reconfiguration is Inversely Associated with Human Intelligence
The Parieto-Frontal Integration Theory (P-FIT) of intelligence: Converging neuroimaging evidence