A Multiscale Logic of Collective Intelligence" by Donald Hoffman and Chetan Prakash

Recursive trace logic provides a multiscale framework for modeling collective intelligence and agency, moving beyond traditional spacetime and quantum theory foundations. By utilizing Markov chains to represent observer windows, this approach defines agency as the recursive ability to navigate and select these windows, effectively treating actions as shifts in perspective. This model suggests that spacetime and relativistic phenomena, such as time dilation, emerge as asymptotic descriptions of underlying Markov dynamics rather than fundamental realities. Integrating this algebraic structure with variational free energy principles offers a path to quantify intelligence and problem-space bending across scales. This framework potentially resolves the "free lunch" problem in biological systems, where complex behaviors emerge from simple, non-designed matrices, providing a principled, consciousness-first alternative to physicalist theories that struggle to account for the origins of goal-directed behavior.