3min snip

Machine Learning Street Talk (MLST) cover image

DR. JEFF BECK - THE BAYESIAN BRAIN

Machine Learning Street Talk (MLST)

NOTE

Exploring Emergence, Categorization, and Dynamics in Complex Systems

Linear is a continuous version of Conway's game of life, with some tweaks like stochastic updates. In the artificial life community, emergentist systems are built, leading to complex functional dynamics and macroscopic phenomena like gliders. Categorizing and understanding these phenomena pose challenges, with post hoc analysis and rationalization being common. The approach taken is agnostic to defining 'things', focusing on summarizing dynamics with a markov blanket. The algorithm can discover different types of objects based on their interactions and dynamics, providing insights into the system's dynamics and evolution. While version one of the algorithm has limitations, version two is expected to improve with access to more sophisticated dynamical systems modeling.

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