Personality as Trajectory: The Cerome Framework for Understanding Human Personality Dynamics and Designing Artificial Agents

Personality psychology treats personality as static traits. Yet converging evidence from dynamic personality theory, inner speech research, neuroscience, and time-series econometrics suggests personality is not a point but a trajectory. This paper proposes the Personality as Trajectory (PAT) framework, reconceptualizing personality as the statistical signature of a continuous generative process driven by inner speech. PAT introduces the cerome, a mathematically formalized representation of the complete dynamic personality system measurable through language embeddings, and proposes a new AI personality architecture in which personality emerges from interaction rather than pre-programmed parameters.