Foundations of the Causal Information-Cognitive Compression Field (ICCF) Theory

This paper introduces the theoretical architecture of the Causal Information-Cognitive Compression Field (ICCF), a unifying framework that models how systems—ranging from particles to minds, societies, and civilizations—compress, store, and transmit causal information. Rooted in entropy dynamics, recursive field topology, and cognition-as-compression principles, the ICCF provides a geometric and energetic representation of informational flows. The theory extends across microphysical processes, biological cognition, institutional memory, and scientific epistemology, offering a general model for understanding how complex systems preserve coherence against entropic drift. We explore the ICCF as a multi-layered manifold, governed by internal coherence tensors and external entropy fluxes, and apply it to domains including collective intelligence, symbolic systems, ethical computation, and noospheric stabilization. By reinterpreting knowledge itself as a dynamic compression field, ICCF opens a new path toward integrating causal logic, informational structure, and systemic evolution within a unified scientific ontology.