We propose a theoretical framework for informational living systems, defined as systems capable of maintaining internal coherence between perception, interpretation, intention, and action over time. Unlike classical approaches in cognitive science and artificial intelligence, this framework does not rely on explicit world models, optimization procedures, or learning mechanisms. We argue that decision and meaningful action can emerge solely from coherence constraints, provided that intention is treated as a structural informational variable. This work is intentionally non-formal and does not present any mathematical model or implementation. Its objective is to establish a neutral conceptual foundation for the study of living information systems, independent of substrate, architecture, or execution mechanisms.
Gauthier Ceyte (Sat,) studied this question.