Announcing the Release of MXD-COGN: A Theory of Mixed-Domain, Mixed-Depth Cognition

Jan 4

On January 4, 2026, Maxdi Inc. formally released MXD-COGN: A Theory of Mixed-Domain, Mixed-Depth Cognition, a foundational work that establishes the mathematical basis of what we define as coherence engineering.

This publication marks the completion of several years of research into how inference executes, deforms, stabilizes, and fails in complex systems that span physical, computational, and organizational domains. MXD-COGN is not a conventional academic textbook, nor is it a software manual. It is a closed, internally consistent theory intended to function as a theoretical processing design kit for inference and stability analysis.

We refer to this framework as Cogn-Tex™.

From Models to Inference Geometry

Traditional engineering and control frameworks assume fixed models, localized stability, and isolated domains. These assumptions no longer hold for modern systems that adapt, learn, and operate across multiple layers of abstraction.

MXD-COGN introduces a different foundation. Inference is treated as a first-class dynamical object, represented as executable graphs governed by deformation fields, boundary constraints, and global coherence order parameters. Stability is no longer defined at a point, but over manifolds and envelopes. Failure is understood not as a sudden event, but as a geometric process driven by deformation and misalignment.

This perspective enables rigorous reasoning about metastability, delayed collapse, and early-warning signals in systems that classical analysis cannot adequately describe.

Cogn-Tex™: A Theoretical Processing Design Kit

MXD-COGN functions as Cogn-Tex™, a theoretical processing design kit for coherence and inference.

Just as a semiconductor PDK defines the design rules, invariants, and constraints that make fabrication possible, Cogn-Tex™ defines the mathematical structures and execution semantics required to reason about inference under deformation. It enables engineers, researchers, and institutions to encode systems into formal inference graphs, evaluate coherence margins, and reason about stability across domains and depths.

Publishing this theory is a deliberate choice. By releasing the canonical reference, Maxdi Inc. establishes the standard upon which certified tools, execution engines, and institutional practices can be built. The value of MXD-COGN compounds when paired with compliant execution platforms and certification pathways, but the theory itself stands independently as a stable foundation.

Scope and Intent

MXD-COGN is written for advanced practitioners—researchers, system architects, and organizations confronting the limits of classical modeling and control. It is not an introductory text, and it does not attempt to simplify the underlying mathematics.

The book concludes deliberately at the level of theory. Questions of software execution, tooling, certification workflows, and deployment are treated as out-of-scope and are addressed separately through companion products and services. This separation ensures that the theory remains stable, citable, and institutionally defensible over time.

Pricing and Access

MXD-COGN is offered under an institutional access model, reflecting its role as a foundational theory rather than a mass-market publication.

Institutional License:
USD $2,500 per year

Institutional access includes full digital use of the textbook for internal research and instruction, and eligibility for MXD-COGN–aligned tooling, certification, and execution platforms.

Individual researchers and enterprise organizations seeking access or broader usage rights are invited to contact us directly to discuss appropriate licensing and enablement options.

📧 Contact: tex@cognitave.com

Availability

MXD-COGN is available now through the Cognitave online store:

👉 https://www.cognitave.com/ee-store/p/tex-cogn-mxd-textbook2

Authorship and Publisher

Author
Dr. Mahdi Haghzadeh
Maxdi Inc., Research Division
ORCID: https://orcid.org/0000-0002-5438-8923

Publisher
Maxdi Inc.

The release of MXD-COGN marks a milestone in the formalization of coherence engineering. We look forward to seeing how institutions, researchers, and system architects build upon this foundation.

Jan 4, 2026
Mahdi Haghzadeh, PhD
mxd@maxdi.com | +1 (646) 341-0452

Maxdi Inc

About Maxdi Inc

Maxdi Inc is a research-driven company operating at the intersection of advanced inference systems, human cognition, and creative intelligence. Founded to explore how meaning, perception, and structure emerge across domains, Maxdi develops original frameworks that bridge science, art, and philosophy.

At the core of Maxdi’s work is MXD-COGN (Mixed-Domain, Mixed-Depth Inference), a proprietary research framework that studies how coherent structures form under uncertainty—whether in physical systems, human perception, or creative processes. MXD-COGN investigates how observer interaction, boundary conditions, and deformation govern the emergence of order across multiple scales.

Maxdi’s research spans:

Coherence engineering and inference theory, Observer-anchored systems and human-in-the-loop intelligence, Perceptual and cognitive order parameters, Cross-disciplinary applications of quantum, informational, and geometric principles.

Through Maxdi Art, the company extends this research into the cultural domain, producing original works that function as perceptual experiments rather than illustrations. These works explore how consciousness, ambiguity, and structure manifest visually, often drawing inspiration from historical masters such as Leonardo da Vinci, while remaining non-referential and forward-looking.

Maxdi Inc has previously operated physical gallery spaces in New York City and continues to engage with curators, researchers, and institutions internationally. Its work is designed not only to produce artifacts, but to develop new languages for understanding complexity, perception, and meaning in the modern world.

Maxdi Inc is headquartered in the United States and collaborates globally across research, art, and technology.

https://www.maxdi.com