This page is just for fun and content often changes. Occassionally, I post some scholarly content, but it is mostly my public-facing chalkboard.
I have a long held interest in aspects of computer-human interaction and shared cognition, which is especially salient in today’s emerging AI environment. Some of the topics here reflect those interests.
Complexity Theory
Complex systems are often best modeled as interconnected nodes in the form of networks, where each vertex represents a person acting locally with and simultaneously with others. These are dynamical systems by virtue of varying initial conditions, non-linear processes, individual learning, and interaction among agents. Consequently, these systems operate far from equilibrium, co-evolve with their environment, unpredictably exhibit black swan (N.N. Taleb) behavior, and have emergent outcomes.
Embodiment and Shared Cognition
Embodied and shared cognition underlies the premise that human intelligence is conditioned and mediated by the physical body as it interacts in its environment. It is largely what makes us situationally distinct individuals. (See Varela, F.J. Thompson, E. and Rosch, E. 2016, The Embodied Mind, for an introduction.)