Stephen Wolfram explores how systems adapted for specific purposes exhibit universal patterns of "bulk orchestration" through computational irreducibility. Using cellular automata as models, he demonstrates that adaptive evolution produces "mechanoidal behavior"—systems showing mechanism-like features regardless of their specific goals. He introduces the concept of a "rulial ensemble" (rules selected by evolution) and "mutational complexity" (difficulty of evolving solutions), arguing that computationally simple objectives force systems into pockets of computational reducibility. This framework potentially explains fundamental aspects of biological systems and why evolution works at all.
Table of contents
Towards a Theory of Bulk OrchestrationSome First ExamplesThe Concept of Mutational ComplexityPossible and Impossible ObjectivesOther Objective FunctionsMeasuring Mechanoidal BehaviorThe Rulial Ensemble and Its ImplicationsPurpose vs. Mechanism and the Nature of LifeAppendix: Different Adaptive StrategiesHistorical & Personal BackgroundThanksSort: