Foundational
Canonical Taxonomy

Unified Living Computation Science (ULCS) is proposed as an author-defined taxonomic framework for organizing computation as it manifests in living, semi-living, synthetic, and hybrid biological systems. Although these subjects are studied across biology, physics, computer science, systems science, and engineering, the author is not aware of a broadly adopted taxonomy that coordinates them under a single framework focused on computation in living matter under physical constraint. ULCS addresses this proposed organizational gap by defining eight coordinated canonical categories that distinguish intrinsic biological computation, biological code as executable information, hybrid biological–synthetic architectures, carefully delimited quantum-adjacent neural inquiry, material computational substrates, and the physical constraints on emergence and evolution.

ULCS does not replace existing scientific disciplines and does not assert experimental, clinical, technological, or jurisdictional authority. Its function is classificatory and structural. This publication establishes the Foundational Canonical Taxonomy, including governance principles, hierarchical relationships, and explicit non-replacement boundaries. The framework is intended to provide long-term taxonomic coherence for convergent research at the intersection of computation, biology, physics, and engineered life systems.

Keywords: Unified Living Computation Science (ULCS); biological computation; living systems; biohybrid computation; biological information processing; computational taxonomy

Unified Living Computation Science (ULCS) is proposed as a scientific megadiscipline dedicated to the systematic classification and organization of computation as it occurs in living, semi-living, synthetic, and hybrid systems.

For purposes of this proposal, physics is treated as organizing inquiry into matter, energy, and physical law; chemistry into molecular interaction and transformation; biology into living systems; and computer science into formal and engineered computation. ULCS does not present this four-part scheme as an official classification of science; it uses the scheme as a heuristic for explaining the proposed organizational gap.

ULCS addresses this structural gap.

ULCS does not replace existing sciences. It provides a meta-level classification framework that:

• Organizes intrinsic biological computation
• Formalizes biological code as executable information
• Classifies hybrid biological–synthetic systems
• Distinguishes exploratory quantum-biological inquiry
• Grounds emergent computation in physical law

This framework classifies those manifestations without asserting that all biological activity is computational or that ULCS replaces established scientific disciplines.

ULCS begins from the premise that computation may be analyzed as an organizing process expressed through living matter, biological information, and hybrid biological-synthetic systems.

This document presents the author-maintained Foundational Canonical Taxonomy of Unified Living Computation Science (ULCS), Version 1.2. It is a scholarly proposal and classification framework for academic discussion and interdisciplinary research. It has not been adopted as an official scientific discipline, standard, or institutional classification.

The purpose of Unified Living Computation Science (ULCS) is to provide a coherent taxonomic framework for organizing research at the intersection of biology, computation, and engineered life systems.

Across multiple scientific disciplines, living systems are studied as information-processing entities operating under physical constraint. Systems biology, biological control, synthetic circuits, and living-cell computation provide concrete examples of encoding, sensing, regulation, memory, and state transformation in biological substrates (Kitano, 2002; Helikar et al., 2008; Gao et al., 2018; Rizik et al., 2022).

However, these insights remain distributed across many disciplines, often without a shared classification structure.

ULCS is proposed as a structural framework designed to organize these relationships. The framework does not replace existing disciplines. Instead, it provides a conceptual taxonomy that clarifies how different domains studying biological computation relate to one another.

The intent of ULCS is therefore organizational and integrative rather than prescriptive. Its goal is to provide longterm conceptual coherence as scientific understanding of living computational systems continues to expand.

Unified Living Computation Science (ULCS) is a proposed scientific megadiscipline dedicated to the systematic classification and structural organization of computational phenomena observed in living, semi-living, hybrid biological–synthetic, and life-adjacent physical systems.

ULCS operates as a meta-level taxonomic framework that coordinates and contextualizes computational processes across multiple scientific domains, particularly where living systems exhibit executable information, intrinsic processing, or emergent computational behavior under physical constraint.

The purpose of ULCS is classificatory rather than jurisdictional. It defines canonical structural domains for organizing research but does not claim authority over experimental methodology, discovery ownership, engineering practice, medical application, or institutional governance.

Unified Living Computation Science (ULCS)

An author-proposed scientific megadiscipline concerned with the study, classification, and structural organization of computation as it occurs in living systems, biologically integrated physical systems, and hybrid biological–synthetic architectures operating under physical constraint.

Scope and Boundaries of ULCS

Unified Living Computation Science (ULCS) operates as a classificatory and organizational framework for understanding computation as it appears in living systems, biological information processes, and engineered biological–synthetic systems.

ULCS defines structural domains for conceptual organization and interdisciplinary coordination. It does not prescribe experimental methods, technological implementation strategies, or institutional authority over research programs.

The framework is intended to clarify relationships among existing fields rather than replace them. ULCS therefore complements established disciplines including physics, chemistry, biology, computer science, systems biology, and synthetic biology.

ULCS focuses specifically on the classification and conceptual organization of computation occurring in living, semiliving, hybrid biological–synthetic, and life-adjacent physical systems.

Unified Living Computation Science (ULCS) is a classificatory and structural framework. It does not replace existing scientific disciplines, including biology, physics, chemistry, computer science, or engineering. ULCS does not assert authority over experimental methodology, technological development, clinical practice, or institutional governance.

The purpose of ULCS is to provide a structural taxonomy that helps organize computational phenomena occurring within living systems and biologically integrated physical systems. It operates as a meta-level classification framework intended to support interdisciplinary clarity rather than disciplinary replacement.

For the Proposal of a Fifth Scientific Megadiscipline

8.1. Author-Proposed Organizing Context

For purposes of the ULCS proposal, four broad areas are used as an organizing heuristic:

1. Physics — inquiry into matter, energy, and physical law
2. Chemistry — inquiry into molecular interaction and transformation
3. Biology — inquiry into living systems
4. Computer Science — inquiry into formal and engineered computation

These areas developed through distinct historical trajectories and now encompass many subdisciplines; the four-part grouping is an explanatory device for this proposal, not a universally accepted hierarchy.

Physics, chemistry, biology, and computer science each developed from multiple intellectual and institutional traditions. Their histories are complex and are not reducible to a single sequence or pattern of disciplinary emergence.

ULCS draws only an organizational analogy: a new framework may become useful when research questions and vocabularies cross established disciplinary boundaries.

In a similar manner, ULCS is proposed as a classificatory framework intended to provide structural coherence across scientific domains in which computation manifests within living systems and biological substrates.

8.2. Relationship of ULCS to Existing Scientific Disciplines

Unified Living Computation Science (ULCS) does not replace existing scientific disciplines. Instead, ULCS provides a structural framework for organizing and classifying computational phenomena observed in living systems, hybrid biological–synthetic systems, and life-adjacent physical processes.

Research relevant to ULCS already occurs across multiple established fields including biology, neuroscience, physics, computer science, systems science, and bioengineering. ULCS functions as a coordinating taxonomy that helps clarify how these areas intersect when computational processes emerge within living or biologically integrated systems.

The purpose of ULCS is therefore organizational rather than jurisdictional. It offers a classification architecture that may assist researchers, educators, and institutions in describing and coordinating interdisciplinary research occurring at the intersection of life sciences, physical sciences, and computational theory.

Examples of how existing fields relate to ULCS include:

This relationship illustrates how ULCS is intended to function as an author-proposed classificatory framework for research occurring across multiple scientific domains, without replacing those domains.

8.3. The Fragmentation of Computation Across Sciences

Computation is currently studied across multiple independent fields:

• Systems biology
• Synthetic biology
• Neural computation
• Artificial intelligence
• Information theory
• Quantum biology
• Complex systems science
• Bioengineering

Computation in living systems is not currently organized under a single broadly adopted scientific category.

Relevant work is distributed across biology, physics, computer science, engineering, and allied fields, each with its own vocabulary and classification practices.

This fragmentation produces:

• Terminological inconsistency
• Cross-scale incompatibility
• Redundant theoretical frameworks
• Difficulty comparing biological and engineered systems

The author is not aware of a broadly adopted megadiscipline dedicated specifically to classifying computation across living, semi-living, and hybrid systems. This is a claim about current organizational practice, not about an absence of relevant research in established fields.

8.4. The Conceptual Gap

Biology studies life.

Computer science studies formal algorithms.

Physics studies matter and energy.

Within the organizing scheme used here, no single broadly adopted framework is dedicated to coordinating all of the following:

• Living systems as computational entities
• Biological code as executable information
• Hybrid biological–synthetic computation
• Organ-level and material-level computational embodiment
• Evolution modeled as a computational process under physical constraints

This gap becomes increasingly visible as:

• Synthetic biology advances
• Neural modeling becomes more computational
• Biohybrid systems expand
• Living materials are engineered
• AI increasingly intersects with biology

The absence of a shared classification framework may hinder comparison, terminology alignment, and coordination across these research areas.

8.5. Rationale for Unified Living Computation Science (ULCS)

Unified Living Computation Science (ULCS) is proposed to fill this structural gap.

ULCS does not replace:

• Physics
• Chemistry
• Biology
• Computer Science

It instead provides a meta-level classification framework that organizes how computation manifests in:

• Living biological systems
• Hybrid biological–synthetic systems
• Engineered organ systems
• Material and substrate-level embodiments
• Evolutionary and emergent physical processes

ULCS uses a broadened but operationally constrained concept of computation that includes physically instantiated information processing and state transformation in living systems; it does not treat every biological process as computational.

Its purpose is structural coordination — not scientific displacement.

8.6. Organizational Analogy: Computer Science

The development of computer science in the 20th century provides an organizational analogy, not a predictive historical precedent.

Computation previously existed inside:

• Mathematics
• Electrical engineering
• Logic
• Physics

Modern computer science developed from mathematics, logic, electrical engineering, physics, and related traditions into a distinct and internally diverse field.

ULCS proposes a coordination framework for computation in living and life-adjacent systems. It does not assume that ULCS will follow the historical path of computer science or achieve institutional recognition.

8.7. Nature of the Proposal

ULCS is:

• Taxonomic
• Classificatory
• Organizational
• Theoretical

ULCS is not:

• A claim of experimental discovery
• A replacement for established sciences
• A medical or technological assertion
• An exclusive jurisdiction over biological research

The proposal is structural in nature.

8.8. Transition to Canonical Taxonomy

The following sections define the Canonical Structure of ULCS, including:

• The Parent Megadiscipline
• The Primary Scientific Domain
• Foundational Subdomains
• Applied and Substrate Domains
• Theoretical Grounding Domains

The hierarchy, naming, and arrangement constitute the formal structure of the proposed megadiscipline.

Relationship of ULCS to Existing Scientific Disciplines.

Unified Living Computation Science (ULCS) does not replace existing scientific disciplines. It provides a structural classification layer that coordinates and contextualizes computational phenomena across them.

The following table illustrates conceptual compatibility and mapping relationships:

Mapping reflects structural alignment within ULCS and does not imply jurisdictional replacement or disciplinary absorption.

10.1. Canonical Status Within This Publication

Within this author-maintained publication, Unified Living Computation Science (ULCS) Version 1.2 is designated as the fixed Foundational Canonical Taxonomy.

Within this publication, Version 1.2 defines the author-maintained naming, hierarchy, structural relationships, and category architecture of ULCS.

No subsequent interpretation, expansion, or derivative work may retroactively alter Version 1.2.

10.2. Versioning Model

ULCS operates under explicit version control.

Future revisions must:

• Be published as a new numbered version
• Preserve historical version integrity
• Explicitly document structural changes
• Avoid retroactive modification of prior canonical text

Version numbering shall follow:

Major.Minor (e.g., v1.2, v1.3, v2.0)

Major versions indicate structural changes. Minor versions indicate clarifications without hierarchical alteration.

10.3. Structural Stability Clause

The eight canonical categories defined in Version 1.2 are fixed for this edition.

No domain may be removed, renamed, merged, or reclassified without issuance of a new major version.

Subdomains may expand only under formally declared subsequent versions.

10.4. Scope of Taxonomic Governance

Version governance within this publication applies exclusively to:

• Taxonomy
• Structural organization
• Conceptual coordination
• Domain classification

ULCS governance does not extend to:

• Experimental results
• Clinical applications
• Engineering implementations
• Institutional accreditation
• Scientific ownership

10.5. Derivative Use & Citation

ULCS may be referenced, cited, or discussed within academic, institutional, or research contexts.

However:

Derivative frameworks should not be represented as an official ULCS version unless explicitly issued and identified as a subsequent author-maintained version.

10.6. Canonical Integrity Principle

All future elaborations, expansions, diagrams, educational materials, or applied frameworks derived from ULCS must preserve the structural hierarchy defined in Version 1.2 unless formally superseded by a later published version.

Unified Living Computation Science (ULCS) is proposed as a scientific megadiscipline, complementing Physics, Chemistry, Biology, and Computer Science.

ULCS does not replace existing sciences. It functions as a unifying classification and systems framework that organizes how living systems compute, encode information, evolve, and are engineered across physical, biological, and computational domains.

This index defines the author-maintained canonical structure of ULCS. Copyright protection is asserted only in the original expression and in the author’s selection, coordination, and arrangement; underlying facts, ideas, scientific principles, and methods are not claimed.

Unified Living Computation Science (ULCS)

Parent Megadiscipline

The ULCS Canonical Taxonomy defines eight coordinated categories

├── Living Computation Science (LCS)

│Intrinsic Biological Computation

│

│└── Life-Code Foundation Science (LCFS)

│Executable Biological Information

│

├── Bio-Quantum Neural Science (BQNS)

│Quantum-Adjacent Neural Phenomena

│

├── Bio-Computational Quantum Systems Science (BCQSS)

│Engineered Hybrid Computational Systems

├── Biohybrid Organ Engineering

│ Organ-Level Biological–Synthetic Integration

│

├── Living Computation Hardware │ Physical Computational Substrates

│

└── NeoLife Computational Physics Emergent Computational Grounding in Physics

The ULCS hierarchy represents coordinated classification rather than linear dependency. Living Computation Science (LCS) describes intrinsic biological computation, while Life-Code Foundation Science (LCFS) formalizes executable biological information operating within that domain. Bio-Quantum Neural Science (BQNS) represents a specialized inquiry layer focused on quantum-adjacent neural hypotheses. Bio-Computational Quantum Systems Science (BCQSS) and Biohybrid Organ Engineering operate as separate lateral categories for prospective engineered architectures and organ-level integration, respectively.

Living Computation Hardware identifies physical computational substrates derived from or integrated with living systems. NeoLife Computational Physics examines the physical principles through which computational behavior may emerge within biological or hybrid physical environments.

This hierarchy is taxonomic rather than procedural. It reflects conceptual scope and domain coordination rather than causal sequence, technological dependency, or developmental progression.

The ULCS framework provides structural organization for investigating questions related to computation in living, semi-living, hybrid biological–synthetic, and engineered life systems.

The intent of this section is to illustrate representative scientific questions that fall within the structural scope of ULCS.

• How do living systems implement computation under thermodynamic and physical constraints?
• How does biological information become executable behavior within cellular and organism-level systems?
• What physical principles govern the emergence of computation in biological matter?
• How can biological and synthetic computational substrates be integrated within hybrid systems?
• What limits constrain computation, information processing, and adaptation in living systems?

These questions illustrate the types of scientific investigations that ULCS is designed to structurally organize rather than prescribe.

Within this author-proposed taxonomy, ULCS is the parent framework or “megadiscipline.”

LCS operates as a primary scientific domain under ULCS.

LCFS is a specialized foundational subdomain within LCS.

All remaining canonical categories interoperate within the ULCS framework without replacing or superseding one another.

The ULCS Canonical Taxonomy defines eight coordinated categories—one parent framework and seven subordinate categories—that collectively describe the principal structural areas of inquiry within Unified Living Computation Science.

Eight Canonical Categories of Unified Living Computation Science

1. Unified Living Computation Science (ULCS) — Parent Megadiscipline
2. Living Computation Science (LCS) — Intrinsic biological computation
3. Life-Code Foundation Science (LCFS) — Executable biological information
4. Bio-Quantum Neural Science (BQNS) — Quantum-adjacent neural phenomena
5. Bio-Computational Quantum Systems Science (BCQSS) — Engineered hybrid systems
6. Biohybrid Organ Engineering — Organ-level biological–synthetic integration
7. Living Computation Hardware — Physical computational substrates
8. NeoLife Computational Physics — Emergent computational grounding in physics

This document establishes:

• Canonical structural definitions
• Cross-disciplinary compatibility
• Explicit governance and version control
• Non-replacement boundaries
• Long-term taxonomic stability

ULCS is classificatory. It does not assert ownership over biology, physics, technology, scientific ideas, or discovery.

Its purpose is structural coherence across disciplines increasingly converging around computation in living systems.

Version 1.2 constitutes the fixed Foundational Canonical Taxonomy of Unified Living Computation Science (ULCS). This Revised Scholarly Edition, dated July 18, 2026, preserves the eight-category hierarchy while correcting the presentation sequence, documenting the taxonomy-development method, clarifying evidence status and limitations, and expanding scholarly citations. Future publications may expand research applications or educational materials without altering the canonical taxonomy defined in this edition.

16.1. The Eight Canonical ULCS Categories

ULCS organizes computational phenomena occurring in living, synthetic, and hybrid systems through a structured taxonomy consisting of one parent megadiscipline and seven subordinate scientific categories. Together, these eight canonical categories define the scope, hierarchy, and organizational structure of Unified Living Computation Science Version 1.2.

I. ULCS — Unified Living Computation Science

Parent Megadiscipline

The top-level author-defined container that organizes subordinate categories concerned with computation in living, synthetic, and hybrid systems.

II. LCS — Living Computation Science

Core Domain

The study of how living systems compute, process information, and regulate behavior at cellular, organismal, collective, and ecological scales.

III. LCFS — Life-Code Foundation Science

Foundational Subdomain of LCS

Biology formalized as executable, generative, and interpretable code, including genetic, epigenetic, metabolic, and developmental programs.

IV. BQNS — Bio-Quantum Neural Science

Neural–Quantum Domain

An exploratory category for testable hypotheses about whether specified quantum, coherent, or other non-classical effects could contribute to biological neural computation.

V. BCQSS — Bio-Computational Quantum Systems Science

Engineered Systems Domain

Prospective classification of engineered-system concepts combining biological substrates with quantum-adjacent principles; no operational bio-quantum computer is presumed.

VI. Biohybrid Organ Engineering

Applied Organ Systems Domain

Classification of research on organs and organ-like systems that combine biological and engineered components for sensing, regulation, adaptation, or identifiable information processing.

VII. Living Computation Hardware

Physical Substrate Domain

Classification of material, chemical, biological, and hybrid substrates proposed or demonstrated to instantiate identifiable living-computation processes.

VIII. NeoLife Computational Physics

Evolutionary & Physical Foundations Domain

Research on physical constraints relevant to inheritance, evolution, adaptation, emergence, and engineered life systems across natural and artificial contexts.

16.2. Secondary Cross-Domain Branch (Non-Canonical)

QSIB — Quantum Synthetic Intelligence Biology

Quantum Synthetic Intelligence Biology (QSIB) is recognized as a secondary cross-domain research branch within the broader ULCS framework.

QSIB is not one of the eight canonical domains defined in Version 1.2. It does not alter, extend, or modify the canonical hierarchy.

QSIB operates transversally across multiple ULCS domains where synthetic intelligence systems, biological substrates, and quantum-adjacent physical principles intersect conceptually or experimentally.

Specifically, QSIB may interface with:

• Living Computation Science (LCS) — when synthetic systems are compared to intrinsic biological computation
• Life-Code Foundation Science (LCFS) — when biological code interacts with synthetic or programmable systems
• Bio-Quantum Neural Science (BQNS) — when quantum-adjacent neural phenomena are examined in relation to synthetic intelligence models
• Bio-Computational Quantum Systems Science (BCQSS) — when engineered hybrid architectures incorporate biological and quantum-informed design principles

QSIB functions as a research coordination layer rather than a canonical structural domain. It provides conceptual alignment for interdisciplinary inquiry at the boundary of synthetic intelligence, biological computation, and quantum-informed modeling.

QSIB does not:

• Constitute a separate megadiscipline
• Modify the ULCS canonical hierarchy
• Supersede any of the eight canonical domains
• Assert technological feasibility or implementation

Its recognition within this document is descriptive and organizational only.

The ULCS Canonical Hierarchy defined in Version 1.2 remains unchanged.

16.3. Category Boundaries & Non-Overlap Principle

The eight canonical categories defined in Version 1.2 are structurally differentiated and hierarchically coordinated.

Each subordinate category represents a classification layer within ULCS and is defined primarily by scope, substrate, scale, or research function rather than by institutional jurisdiction.

No canonical domain shall be interpreted as:

• Replacing existing scientific disciplines
• Claiming exclusive jurisdiction over biological or physical phenomena
• Overriding institutional authority in research, engineering, or medicine
• Redefining established academic fields

Overlap with existing disciplines indicates structural alignment, not domain absorption.

Where interdisciplinary convergence occurs, ULCS provides taxonomic coordination rather than disciplinary consolidation.

Section 18 documents how the taxonomy was constructed and should be interpreted. It distinguishes authorproposed categories from established research fields, defines key terms, states limitations and responsible-research principles, and records authorship and AI assistance. Nothing in this section alters the Version 1.2 hierarchy.

18.1. Taxonomy-Development Method

ULCS was developed as a conceptual classification framework using a deductive–iterative method informed by established taxonomy-development practice. The process combined conceptual distinctions drawn from information theory, systems biology, synthetic biology, biocomputation, bioengineering, and quantum biology with repeated boundary and overlap checks. This approach is consistent with the use of conceptual-to-empirical and empirical-toconceptual cycles in taxonomy design (Nickerson et al., 2013).

Literature scope

The scholarly basis is a targeted scoping review of representative foundational and contemporary literature available through July 18, 2026. It is not presented as a systematic review, bibliometric census, or exhaustive evidence synthesis.

Classification dimensions

• Primary object of study: intrinsic living processes, biological information, neural phenomena, engineered organs, physical substrates, or underlying physical constraints.
• Computational role: sensing, state transformation, control, memory, learning, adaptation, construction, or information transfer.
• Substrate and scale: molecular, cellular, tissue, organ, organismal, collective, ecological, material, or hybrid.
• Research posture: descriptive, explanatory, theoretical, experimental, or engineering-oriented.
• Relationship to the parent framework: primary domain, nested subdomain, lateral category, or non-canonical cross-domain mapping.

Inclusion criteria

• The phenomenon includes an identifiable process of information use, state transformation, regulation, control, memory, learning, or adaptive response.
• A living, biologically derived, materially embodied, or explicitly biohybrid substrate is central to the research question.
• The proposed placement adds a useful boundary or relationship not already represented by a broader category.
• Claims can be expressed without asserting institutional jurisdiction, clinical readiness, or unverified technological capability.

Exclusion and boundary criteria

• Purely metaphorical uses of computation without a definable information-processing or state-transition account.
• Conventional software or electronic hardware lacking a material relationship to living, biological, or biohybrid systems.
• Medical, clinical, or product claims that require evidence and regulatory review outside the scope of a taxonomy.
• Quantum terminology used without a specified physical mechanism, measurable prediction, or empirically distinguishable hypothesis.

Validation status

The internal consistency and non-overlap rules have been author-reviewed, but the taxonomy has not yet undergone external expert elicitation, Delphi validation, formal inter-rater classification testing, bibliometric validation, or institutional adoption. Those activities are recommended as the next research phase.

18.2. Epistemic Status of ULCS Categories

The following status labels prevent the proposed taxonomy from being confused with established disciplinary consensus. “Proposed” describes the ULCS label or placement, not the existence or validity of the underlying research cited in support of it.

18.3. Operational Definitions and Usage Rules

Computation. A physically instantiated transformation of states or information under identifiable rules, constraints, or dynamics. The term does not by itself imply digital representation, consciousness, or deliberate agency.

Living computation. Information processing, regulation, control, memory, learning, or adaptive state transformation performed by, within, or through living systems.

Semi-living system. A laboratory or engineered construct that contains living components but lacks one or more properties normally associated with an autonomous organism. The term is descriptive and context-dependent.

Hybrid biological–synthetic system. A system in which biological components and engineered non-biological components are functionally coupled.

Life-adjacent system. A nonliving, partially biological, or engineered system included because it exhibits specified lifelike, adaptive, self-organizing, or biointegrated behavior. The term is heuristic and does not assign living status.

Life-code. An ULCS organizing term for biological information structures whose states influence production, regulation, development, maintenance, or adaptation. It is not a claim that organisms are reducible to conventional software.

Quantum-adjacent. A cautious boundary term for research questions involving a specified quantum-biological mechanism or a testable interface with quantum physical principles. It must not be used as a substitute for evidence.

Canonical. Fixed within the author-maintained Version 1.2 publication. The word does not imply universal scientific acceptance, institutional authority, or regulatory status.

Megadiscipline. An author-proposed organizational term for a framework intended to coordinate several domains. It is not presented as a formally recognized rank in an established academic classification system.

18.4. Limitations

• ULCS is a conceptual taxonomy and scholarly proposal, not an empirical experiment or demonstration of a new natural law.
• The literature review is targeted and representative rather than systematic or exhaustive.
• Several category names and boundaries are author-proposed and have not been adopted by universities, journals, professional societies, or standards bodies.
• Biological processes may satisfy more than one classification dimension; non-overlap is therefore an organizational objective rather than a claim of perfect natural separability.
• BQNS and BCQSS include speculative or emerging questions. Their inclusion organizes hypotheses and does not elevate them to established mechanisms or technologies.
• No external expert panel, inter-rater study, bibliometric test, or peer-reviewed validation of the full taxonomy has yet been completed.
• Illustrative diagrams and mappings are explanatory representations, not causal models, experimental results, or predictions of technical readiness.

18.5. Ethics, Biosafety, and Responsible Research

Research mapped by ULCS may involve neural organoids, engineered organisms, gene regulation, biohybrid devices, environmental release, or dual-use capabilities. Classification does not replace ethics review, biosafety assessment, biosecurity review, informed-consent requirements, animal- or human-subject protections, or applicable regulation. Organoid-intelligence research also raises unresolved questions concerning donor consent, moral status, welfare, and responsible communication (Smirnova et al., 2023; Hartung et al., 2024).

• Separate conceptual classification from claims of clinical efficacy, consciousness, sentience, or technological readiness.
• Use proportionate biosafety and biosecurity controls for synthetic biology and engineered living systems.
• Evaluate environmental containment, reversibility, and lifecycle risks before release or deployment.
• Document the provenance of human-derived cells and comply with consent, privacy, and oversight requirements.
• Communicate uncertainty and evidence status clearly, particularly for neural and quantum-related claims.
• Consider equitable access, disability perspectives, cultural values, and potential social consequences when proposing applications.

18.6. Interoperability and Machine-Readable Representation

A future machine-readable ULCS release should represent each category as a persistent concept with a preferred label, definition, scope note, broader/narrower relationships, related-concept links, provenance, evidence status, and version metadata. The W3C Simple Knowledge Organization System provides a standard data model for expressing taxonomies and other knowledge-organization systems, while ISO 25964 addresses interoperability among structured vocabularies (ISO, 2013; W3C, 2009).

18.7. Authorship and AI-Assistance Disclosure

Thomas Francis Doyle IV is the author and originator of the ULCS framework presented in this publication. AIassisted tools were used for editorial development, consistency checking, formatting, source discovery and organization, and diagram preparation. The author directed the work, reviewed the final manuscript, and retains responsibility for the taxonomy, source selection, interpretations, and claims. AI assistance is not listed as authorship and does not constitute independent scientific validation.

ULCS classification intersects with multiple existing areas of scientific research concerned with computation in living systems and biological information processing. The purpose of this section is to provide illustrative examples of research domains that align with ULCS.

Examples of such areas include:

• Systems biology and biological network dynamics (Kitano, 2002; Alon, 2006)
• Biological information processing and cellular computation (Bray, 1995; Helikar et al., 2008; Uhlendorf et al., 2012)
• Neural computation, biological neural networks, and organoid computing (Sumi et al., 2023; Cai et al., 2023; Alam El Din et al., 2025)
• Synthetic biological circuits and engineered genetic systems (Endy, 2005; Gao et al., 2018; Bashor et al., 2019; Rizik et al., 2022)
• Biohybrid computational architectures and synthetic living systems (Blackiston et al., 2021; Hu et al., 2024; Giaveri et al., 2025)
• Quantum biology and carefully specified quantum-adjacent biological hypotheses (Tegmark, 2000; Lambert et al., 2013; Cao et al., 2020)

ULCS does not replace these fields. Instead, it provides a structural classification framework that organizes how such research domains relate to computation occurring within living systems.

Unified Living Computation Science (ULCS) is presented as a proposed scientific framework for organizing research at the intersection of computation, biology, and physical systems.

ULCS provides a structural classification framework designed to help organize and coordinate research occurring across biology, physics, computer science, bioengineering, systems science, and related fields where computational phenomena arise in living or biologically integrated systems.

ULCS may be considered for:

• Interdisciplinary research coordination
• Academic program development
• Systems-level curriculum design
• Cross-domain scientific dialogue
• Long-term taxonomic organization of convergent research areas

ULCS functions as a conceptual and structural framework and does not claim regulatory authority, jurisdictional control, funding allocation authority, or institutional governance power. Any institutional adoption, modification, or integration of ULCS would remain subject to standard academic peer review, disciplinary standards, and existing governance processes.

ULCS is proposed as a classification architecture intended to clarify and organize the emerging convergence of computation, biology, and physical systems research.

ULCS is intended to function as a stable classificatory framework for organizing computation as it manifests across living, semi-living, and engineered biological systems. While the canonical domain structure defined in Version 1.2 establishes the foundational taxonomy, future scientific developments may expand the framework through the identification of new interdisciplinary research areas, emerging hybrid computational systems, or newly recognized forms of biological information processing.

Such developments may be incorporated through future revisions while preserving the stability of the canonical structure established in this document. The goal of ULCS is to provide long-term structural coherence across scientific domains as research into living computation continues to evolve.

Unified Living Computation Science (ULCS) is an author-proposed scholarly classification and organizational framework for analyzing and coordinating research on computation in living, semi-living, synthetic, and hybrid systems. It is not an institutionally recognized discipline, scientific consensus, standard, or regulatory classification.

ULCS does not assert inventorship, ownership, or priority over biological organisms, physical laws, scientific discoveries, medical procedures, engineering implementations, or technological systems.

The terms “canonical” and “authoritative” refer only to the internal, author-maintained organization of this publication. They do not confer authority over external research, disciplines, institutions, standards, or regulatory systems.

ULCS is theoretical and classificatory in nature. It does not constitute a claim of experimental discovery, clinical application, technological readiness, or exclusive scientific jurisdiction.

References to existing sciences, technologies, and biological systems are included for classification, comparison, and scholarly context. They do not imply endorsement of ULCS by the cited authors or institutions.

The following representative sources support the scientific context, taxonomy method, and evidence-status distinctions used in this publication. The literature cut-off for this edition is July 18, 2026. Inclusion of a source does not imply that its authors endorse ULCS.

Alam El Din, D.-M., Moenkemoeller, L., Loeffler, A., et al. (2025). Human neural organoid microphysiological systems show the building blocks necessary for basic learning and memory. Communications Biology, 8, 1237. https://doi.org/10.1038/s42003-025-08632-5

Alon, U. (2006). An introduction to systems biology: Design principles of biological circuits. Chapman & Hall/CRC.

Andersson-Rolf, A., & Clevers, H. (2026). New developments and applications of human organoids. Nature Reviews Molecular Cell Biology, 27, 543–558. https://doi.org/10.1038/s41580-026-00974-0

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