How does System function/operate?

Every once in a while people ask me: “What then is a system?”

I should probably simply answer: If you want to comprehend/experience how system operates/functions, work with uFORM iFORM (German) and selftest!

In the thirties of the last century Alan Turing presented with his Turing machine a formal proposal for an agreement about the concepts “algorithm” and “mathematical computability”. Up to this point the problem was though people could compute that they had no generally accepted, consensual model at their disposal that could map all intuitively computable.

Alan Turing facilitated with his work that universal attributes of computation could and can be formally represented, emulated and further discussed. For example, the Turing machine qualifies for demonstrating attributes of formal problems which are subject to studies in complexity research. Turing’s work was significant for the advancement of the developing computer sciences.

Momentarily systemic research is thwarted by a comparable lack of agreement on a minimal consensus: What system(s) is(are) is discussed in general but it is difficult to level up the discussion transdisciplinarily with increasing precision because up to now there was no formal or respectively no computing model that could render the means to program systems which demonstrate universal properties of systems. Dirk Baecker tries with his work The Concept of the Form (German) a verbal transition to dive into the comprehension of system via the form thereby hitting the well-known boundaries of non-formalized language and problems following some missing well-formedness of the Laws of Form. In order to describe system(s) functionally and to show how they operate/function we need systems that are modeled to FORM minimal consensus.

Ralf Peyn has (re)constructed thus vested systems in uFORM iFORM with programs (SelFis) so that now system can be represented, emulated, observed FORMally and discussed including system-differentiation.

SelFis – visual interpretations of subsystems of self-referential systems with specific FORM – are fractals describing systemic processes. They are computer-programs intended to interpret, visualize and analyze forms of complex systems. Among others human cognition and communication are counted as such complex systems. With this model also Turing machines can be constructed. It delivers the mathematical foundation for a sciences and humanities involving system-discussion and provides connective options into new branches of research (among others into the realm of Artificial Intelligence).

SelFis are simple enough also for non-professionals to have a chance to come to a concept of system.

FORMcalculus and programs force to think sufficiently open and at the same time sufficiently stringent and so prevent from eluding into a comprehension of system only imitating flabbiness. With their in comparison to real-systems manageable complexity SelFis deliver a simple possibility to analyze system(s).

In SelFis we can observe how system-differentiation is running, we can observe the system and observe ourselves at the same time, we can follow the re-entries and thereon track our own cognitive performance. We can observe them with others, discuss their processes, we can compare real-systems with them and reflect (the) communication. An example for a first analysis in German: Symmetrische Konflikte

Ralf Peyn demonstrates how humans come to sign and language, how decision systems constitute themselves, and the systemic researcher can now run selected programs via selftest in order to observe if they shape into interesting structures with universal properties and how they evolve.

If now you are thinking: that´s too heavy and too complicated for me.

Tcha …

If you want to comprehend/experience how system operates/functions, work with uFORM iFORM and selftest!

9 Gedanken zu „How does System function/operate?“

  1. Dear Ralph and Gitta:

    The concepts described in your work represent a lot of my personal thoughts on how we could derive intelligent computational systems via Chaos. As a proof of concept I tried to find out a way to integrate a chaotic system inside the mutational mechanism of a Genetic Algorithm (GA) in order to faster and more adequate produce computational results. Several studies have shown that this concept works better than using “conventional randomness” created by a computational algorithm like RNG in modern computers.

    It seems that using a Turing Complete Cellular Automaton like CA110 (Wolfram, 2002 – Cook, 2004) somehow integrates some of its “computational wisdom” inside the GA and it could even be directed towards specific fitness targets. Your work with fractals that represent Turing Complete entities are very close to this concept.

    I want to congratulate you both for your passionate work for all these years and really hope that you will have open-minded people to support your life’s work and utilise it in the next modern computational world. I strongly believe that AI will be our next big advancement in science; and frankly, I think you probably played a great role in this.

    My best regards,

  2. An operating system does two things: It manages the hardware and software resources of the system. The operating system controls your computer’s tasks and manages system resources to optimize performance.
    Certainly, what you intend is not that simple, but what’s exactly the difference?

  3. Thanks for the invitation, Gitta. I’m a bit short on time but here’s quick impressions concerning yours and Ralfs work.

    As you know, I’m a psychologist turned serial entrepreneur and investor in the health information technogy space. The very thought that constructions can be modeled as a form and then run as computer programs is thrilling. And of course the analysis of systems is relevant to healthcare, sciences, politics and economy… on and on! This transcends industry divisions. Ralf has developed something fascinating!

    As I understood your work, uFORM iFORM is the groundwork for Formwelt. Now we can know how we came to a particular sign and communicate such with great efficiency. There’s many possible applications, beginning for me – of course – with psychological therapies and other healthcare interventions. It’s incredibly helpful to understand how various systems (thought constructions) function in order to better understand the results and direction of our thinking and doing. As a psychologist steeped in the digital world, when it comes to Formwelt, one of the most fascinating aspects to me is the interface between humans and Artificial Intelligence learning to construct meaning together and thus evolving in a far more symbiotic manner than previously envisioned. What has been a dream for many is now a reality! This connects the dots for HHRProject’s ability to make sense of “big data”.

    Equally interesting to me is the potential for people to communicate more efficiently and accurately…. one of the many results possible with Formwelt. You all have created a passage to new horizons in science, humanities and a deeper understanding of the human mind.

    I’m in! Let’s learn more about what you have created here.”

  4. For context on me. I am 71 years old. Graduated from an ivy league college, majoring in sociology specializing in political economy. After college I co founded a printing/commenications/project management company in New York City. That went on for 35 years. After that I taught project management/team building for 7 years at Parsons School of Design in NY. Since retiring I’ve had the chance to continue what I started as a sophomore in college.

    Today I am working with a village leader in Malawi. I’m hoping to take what I think I’ve learned and use it to trigger local resilience and self sustaining improvement in villages in rural areas in developing countries.

  5. Yes – a new language is difficult to read. However, if I understand, this approach will help people to create visual models of their systems – based on their understanding. And, show them what might be missing from their understanding?


  6. uFORM iFORM/FORMWELT and Third Phase Science

    Within the specific domain of anti-ageing treatments (including those for cognitive conditions) we encounter problems related to reductionist culture. I argue that we need to take into account not just the individual patient and/or the individual therapist, but we also need to consider how these entities interact between them and with their environment. In this case, the Third Phase science model can appropriately be employed, a model of thinking that sees human beings as integral elements within a wider ecosystem and it involves the study of adaptation to complex social situations. In Third Phase science, there are different interacting viewpoints which create more complexity and multi-dimensionality. The influences and viewpoints of the observer interact with those of other observers and result in a diversity of viewpoints which may form a more comprehensive overall picture. In this model, the result is more dynamic, complex and integrative, representing a situation which is closer to a real-life situation.

    This model describes the complexity of the human organism in much more accurate terms compared to other models of science. The model describes variable range correlations, when interactions at a local level may exhibit global effects, and also when global patterns affect local elements, a situation we typically encounter when we attempt to treat a complex organism in real life.

    In this respect the uFORM iFORM/FORMWELT approach can provide very useful insights and it is definitely worth exploring further. It may provide, for example, ways to augment cognition, both at a patient level and at a societal level.

    • Yes. Non-reductionist models allow more adequate cognitive complexity management of complex problems. It is about generating and providing decision-making tools in the face of a growing surplus of opportunities and indeterminacy that allow for the implications of different complexity management strategies. The support of uFORM iFORM / FORMWELT for this, and the attendant attention among scientists, should therefore continue to grow with the successful concrete application.


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