Collective Predictive Coding Hypothesis: Symbol Emergence as Decentralized Bayesian Inference

Abstract

Understanding the emergence of symbol systems, especially language, requires a computational model that reproduces both the developmental learning process in everyday life and the evolutionary dynamics of symbol emergence throughout history. This paper proposes the Collective Predictive Coding (CPC) hypothesis, framing symbol emergence as decentralized Bayesian inference performed jointly by interacting agents.