We consider the possibility of applying game theory to analysis and modeling of neurobiological and AI systems. Specifically, the basic properties and features of information asymmetric signal games are considered and discussed as having potential to explain diverse neurobiological phenomena at levels of biological function that include gene regulation, molecular and biochemical signaling, cellular and metabolic function, as well as neuronal action potential discharge to represent cognitive variables that may underlie memory and behavior. We begin by arguing that there is a pressing need for conceptual frameworks that can permit analysis and integration of information and explanations across the many scales of diverse levels of biological function if we are to understand cognitive functions like learning, memory, and perception. We posit that future AI and learning systems will be built upon concepts that may be natural to explain using the ideas and features of information asymmetric signaling games.
Bud Mishra, Professor Courant Institute (NYU)
Jointly with André A. Fenton, José R. Hurtado, Jantine A.C. Broek, and EunHye Park
See also doi: https://doi.org/10.1101/2022.01.30.478398