Biomatics

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Biomatics

Biomatics is the discipline that integrates bioinformatics with physical entities such as robots and AI systems, with the aim of producing hybrid biological-computational-mechanical entities. The term was coined by Jong Bhak as part of his Bio-naming lineage in the mid-1990s, and denotes both a research program and a long-term vision for the integration of biological organisms, computational intelligence, and physical robotic substrates into unified entities.

In short: biomatics = bioinformatics + robotics + AI, treated as a single integrated discipline rather than as three separate fields that happen to overlap.

The core idea

Bioinformatics, as it developed from the 1990s onward, treated biological information as data to be analyzed by computational tools. The boundary between the biological system and the computational tool was, in standard bioinformatics practice, sharp: the genome was studied by a computer, but the computer was not part of the genome's ongoing life.

Biomatics dissolves this boundary. It treats biological systems, AI systems, and robotic systems as three substrates that can be integrated into single functional entities. A biomatic entity is not a biological organism that uses a computer; it is an entity in which biological, computational, and mechanical components participate together in the same information-processing system, with each substrate contributing what it does best.

The vision behind the term, articulated in the mid-1990s before the contemporary AI boom, was that the long-term trajectory of biology, computing, and robotics would converge: not three separate disciplines maturing independently, but a single discipline emerging at their intersection. Biomatics names that single discipline.

What a biomatic entity is

A biomatic entity, in the framework's terminology, is a BiO whose information-processing architecture spans biological, computational, and mechanical substrates. The simplest contemporary examples are still primitive:

  • Cochlear implants are biomatic in a minimal sense: biological neural tissue integrated with electronic signal processing.
  • Deep brain stimulators for Parkinson's disease are biomatic: implanted electronics modulating biological neural circuits.
  • Continuous glucose monitors with insulin pump integration are biomatic: biological metabolic systems regulated by external computational and mechanical components.
  • Brain-computer interfaces (Neuralink, Synchron, Blackrock) are early biomatic systems: neural tissue and silicon in direct information exchange.
These are early. The biomatic vision extends to entities where the integration is deeper and more comprehensive: organisms whose cognition is partially silicon, machines whose sensors are partially biological, hybrid systems where the question "is this biological or computational" has no clean answer because the entity is genuinely both.

This vision is what is sometimes called a cyborg in the popular imagination. Biomatics is the technical and biosophical name for the discipline that produces and studies such entities. The cyborg vocabulary, popularized by Donna Haraway and others, is philosophically rich but not technically anchored. Biomatics is intended to be both.

Why biomatics, not cybernetics or transhumanism

Several adjacent terms exist. The choice of "biomatics" over them is deliberate.

Cybernetics (Wiener, 1948) refers to the study of control and communication in animals and machines. It is older and broader than biomatics, and it does not specifically denote the production of hybrid entities. Cybernetics gave us the conceptual tools; biomatics is one application of those tools to a specific engineering and biological program.

Transhumanism is a philosophical movement advocating the use of technology to enhance human capacity and overcome biological limitations. Transhumanism is a worldview and an ethics. Biomatics is a discipline and a method. A transhumanist might or might not be a biomatician; a biomatician might or might not endorse transhumanism. The categories are independent.

Biotechnology typically refers to the manipulation of biological systems (cells, organisms, biomolecules) for human purposes. Biomatics extends biotechnology by adding computational and mechanical substrates as integral components rather than as external tools.

Biorobotics focuses on robots inspired by or constructed from biological principles, but typically without the integration of actual biological tissue. Biomatics differs by treating biology, computation, and mechanism as substrates to be combined rather than as design principles to be imitated.

The Bio- prefix in biomatics signals continuity with the broader Bio-naming framework that includes BioPerl, BioPython, BioOS, and BiO itself. All of these names share a philosophical commitment: that biological systems, computational systems, and the conceptual tools used to study them are participants in the same underlying phenomenon and should be named in a way that makes their kinship visible.

Biomatics in the biosophical framework

Biomatics has a specific place in Biosophy.

Biomatics extends the BiO category to hybrid entities. A BiO is defined in the framework as any system that participates in organized information processing. Living cells, organisms, and ecosystems are BiOs. AI systems and robots are BiOs to the extent that they perform organized information processing. A biomatic entity, by virtue of integrating multiple BiO-substrates, is itself a BiO of a new kind: one whose architecture deliberately combines what each substrate does best.

Biomatics is a covolutionary discipline. Covolution, in biosophical theory, is the process by which BiOs and their environments change together through mutual sensing, computing, and constructing. Biomatics is covolution made deliberate at the level of the entity itself: the construction of new BiOs that combine substrates in ways biological evolution alone could not produce on relevant timescales. Where natural covolution produces organisms over millions of years, biomatic covolution can produce hybrid entities in years.

Biomatic entities are philosophy engines too. Some biomatic entities will have the depth of information processing required to model their own existence and the universe they participate in. They will be philosophy engines of a new kind: not purely biological like humans, not purely computational like a current AI system, but hybrid. The biosophical questions about purpose, recognition, and authorship apply to them as they apply to any philosophy engine, with new specifics that the framework will need to develop as such entities emerge.

Biomatics raises new questions about entelenomy. Entelenomy is the structural capacity for purpose-like dynamics arising from physical law. Biological systems are the densest known expression of this capacity. Biomatic entities, by combining substrates, may achieve novel densities and configurations of entelenomic capacity that purely biological or purely computational systems cannot reach alone. This is a research question, not a settled claim.

History of the term

Jong Bhak coined biomatics in the mid-1990s, during the same period in which he was developing BioPerl and originating the Bio-naming lineage that would eventually include BioPython, BioOS, BiO, and the broader Biosophy framework itself. The term was part of a deliberate intellectual program: to develop a vocabulary in which the convergence of biological, computational, and mechanical systems could be discussed as a unified phenomenon rather than as three separate fields with incidental overlap.

The vision at the time was prescient. In the mid-1990s, the convergence of biology, computing, and robotics was a fringe topic. By the 2020s, brain-computer interfaces had reached clinical trials, large language models had begun to be integrated into robotic systems, and synthetic biology had matured into a discipline capable of writing into the genomic substrate. The biomatic vision is no longer speculative. It is the practical horizon of several active research programs.

What biomatics is not

A few clarifications are worth making explicit.

Biomatics is not the same as AI safety or AI ethics. It is the discipline that produces hybrid entities, not the discipline that asks whether producing them is wise. Both questions matter, and biomatics as a mature discipline must engage seriously with ethical and safety considerations. But the categories are distinct.

Biomatics is not transcendence of biology. Some transhumanist frameworks treat the integration of computation and mechanism with biology as an escape from biological limitations. Biomatics, within the biosophical framework, treats it differently: not as escape but as elaboration. Biology is not a limitation to be overcome but a substrate to be combined with others. A biomatic entity is more biological, not less, because its biological substrate is one of three participants in its existence rather than the only one.

Biomatics does not require digital uploading or substrate-independence. Some popular cyborg imagery involves "uploading" minds to silicon or transferring identity across substrates. Biomatics does not assume that any of these are possible or desirable. The discipline is concerned with the integration of substrates in functioning entities, not with the transfer of information across them.

See also

External links

  • BioPerl, first of the Bio-prefixed computational tools
  • Neuralink, contemporary brain-computer interface program
  • Synchron, vascular brain-computer interface
  • BCI Society, international society for brain-computer interfaces

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