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This paper aims to present the argument that Heinz von Foerster's portrayals of non-triviality in his non-trivial machine (NTM) and in surprising human behavior are not isomorphous. It also demonstrates that the NTM does not account for spontaneity as it is observed in humans in general, nor for von Foerster's own invention of the NTM in particular.

Demonstrating an isomorphism between the NTM and the Enigma cipher machine, the paper shows differences between the NTM and non-trivial human behavior, which von Foerster implied to be isomorphous. It speculates why von Foerster may have accepted this inconsistency.

von Foerster's NTM and the Enigma cipher machine are shown to be isomorphous. Multiple portrayals von Foerster offered of non-triviality, however, are neither isomorphous, nor do they satisfy criteria von Foerster himself set for theories of living beings. Speculations are offered as to why von Foerster nonetheless used these portrayals of non-triviality, and regarding a possible lineage of inspiration that connects the Enigma machine to the NTM via the work of Alan Turing and Ross Ashby.

The presented research is informal and speculative.

The paper's originality and value arise from its questioning of the apparent isomorphism of multiple portrayals of non-triviality, from its speculation about choices von Foerster made while facing the dilemma of defending spontaneity in terms of mechanisms, as well as from speculation about his sources of inspiration.

It was the aim to apply basic epistemological concepts, as presented by Heinz von Foerster, to current problems of medicine and biology.

The relation of genes and human behaviour is an important issue in current medical discourse. Many states and diseases are claimed to be caused by a genetical disposition. To prove the soundness of such claims, a strict methodology has to be applied.

The usual approach of combining genetical findings with observed behaviour is based on an insufficient epistemology. The neglect of recursive processes leads to misinterpretations that have far‐reaching consequences, especially if disease and therapy are concerned.

A precise analysis of recursive traits would allow more reliable models of the relation between genetical disposition and environmental influence.

The paper reflects trivial or non‐trivial relations in social behaviour that are often neglected.

Studies aspects of Heinz von Foerster's work that are of particular importance for cognitive science and artificial intelligence.

Kohonen's self‐organizing map is presented as one method that may be useful in implementing some of Von Foerster's ideas. The main foci are the distinction between trivial and non‐trivial machines and the concept of constructive learning. The self‐organizing map is also presented as a potential tool for alleviating the participatory crisis discussed by von Foerster.

The participatory crisis in society is discussed and the concept of change is handled within the framework of information systems development.

Considers the importance of considering change in information systems development.

As any attempts at explaining quantum theory in terms of simple, local “cause‐and‐effect” models have remained unsatisfactory, approaches from the perspectives of systems theory seem called for, which is rich in a variety of more complex understandings of causality.

This paper presents one option for such approaches, which the author has introduced previously as “quantum cybernetics”: considering waves (but not “wave functions”!) and “particles” as mutually dependent system components, and thus defining “organizationally closed systems” characterized by a fundamental circular causality. Using such an approach, a new look can be achieved on both classical and quantum physics.

It was found that quantum theory's most fundamental equation, the Schrödinger equation, can actually be derived from classical physics, once the latter is considered anew, i.e. under said approach involving both particles and (Huygens) waves. In fact, the only difference to existing views is that Huygens waves are here considered to be real, physically effective waves in some hypothesized sub‐quantum medium, rather than mere formal tools.

What is particularly new in the present paper is that quantum systems can be described by what Heinz von Foerster has called “nontrivial machines”, whereas the corresponding classical counterparts turn out to behave as “trivial machines”. This should provide enough stimulus for discussing system theoretical issues also in the context of the foundations of quantum theory.

Drawing on the work of Niklas Luhmann, the paper argues that technology can be viewed as a self-referential system which is autonomous from both human beings and other function systems of society. The paper aims to develop a philosophy of technology from the work of Niklas Luhmann. To achieve this aim, it draws upon the systems-theory work of Jacques Ellul, a philosopher of technology who focuses on the autonomous potential of technological evolution.

The paper draws on the work of Niklas Luhmann and Jacques Ellul to explore the theme of autonomous technology and what this means for our thinking about technological issues in the twenty-first century. Insights from these two thinkers and researchers working in the Luhmannian sociological tradition are applied to remote work.

The sociological approach of Luhmann, coupled with Ellul's insights into the autonomous nature of technology, can help us develop a systems theory of technology which takes seriously its irreducibility to human functions.

The paper contributes to the growing sociological literature that thematizes the Luhmannian approach to technology, helping us better understand this phenomenon and think in new ways about what technological autonomy means.

The paper brings together the work of Luhmann, Ellul and contemporary researchers to advance a new understanding of technology and technological communication.

The purpose of this paper is to discuss a Multi-perspective approach to knowledge production in terms of a set of cybernetic concepts relevant to the approach; to describe a software system that computationally embodies the approach; and to articulate a research project that pragmatically employs the approach.

A definition is provided. The paper uses a survey methodology, exploring relevant cybernetic and contemporary technological concepts. An operational software mechanism (The Insight Engine) is discussed that enables the bridging of transdisciplinary concepts by a user in the service of accretive research –Recombinant Informatics.

Many cybernetic concepts are relevant to contemporary research into cognition and Neosentience research. More study needs to be undertaken related to historical BCL projects in terms of articulating relevance to contemporary research.

Future research seeks to extend the computational functionality of “The insight engine”, as well as uncover relevant BCL/cybernetic materials.

The software is unique in the field and already there is interest in its use by differing research communities including the Duke Institute for Brain Sciences, and at Stanford, research under Ian Hodder.

The Insight Engine has potential to be used as a multi-perspective tool for many different fields enabling different forms of distributed, transdisciplinary team-based research.

This text is valuable to researchers interested in new forms of interface, augmentation of thought and learning via computational approaches; and the development of bridges between novel research areas, including contemporary, historical BCL, and other cybernetic inquiry.

The purpose of this paper is to propose a model of education that is non-reproductive; that is, productive of non-trivial machines. The reason for this is the postulate that society’s main problems are second-order deficiencies, which cannot be fixed by doing what we do better or more intensely, but rather by changing what we do.

This paper proposes several guidelines for non-reproductive education based on Von Foerster’s concept of a non-trivial machine and of legitimate questions, and Ashby’s law of requisite variety. The ideas presented are corollaries and the result of a philosophical fleshing-out of said concepts and laws.

In order to have a non-reproductive education, it is necessary to limit the role of central control and promote self-evaluation in education at every level of recursion: that is, in the relationship between state and educational institutions, educational institutions and teachers, teacher and students and students as evaluators of themselves.

First, the concept of genuine self-evaluation is proposed, to distinguish this from what is currently called self-evaluation; which, it is shown, is not truly so. Second, the concept of authentic research is proposed, as distinguished from original research. This is useful for seeing how legitimate questions work at all levels of education. Third, a number of relationships between cybernetics and philosophical thought are established. Fourth, a model for non-reproductive education is proposed.

W. Ross Ashby’s elementary non-trivial machine, known in the cybernetic literature as the “Ashby Box,” has been described as the prototypical example of a black box system. As far as it can be ascertained from Ashby’s journal, the intended purpose of this device may have been to exemplify the environment where an “artificial brain” may operate. This paper describes the construction of an elementary observer/controller for the class of systems exemplified by the Ashby Box – variable structure black box systems with parallel input.

Starting from a formalization of the second-order assumptions implicit in the design of the Ashby Box, the observer/controller system is synthesized from the ground up, in a strictly system-theoretic setting, without recourse to disciplinary metaphors or current theories of learning and cognition, based mainly on guidance from Heinz von Foerster’s theory of self-organizing systems and W. Ross Ashby’s own insights into adaptive systems.

Achieving and maintaining control of the Ashby Box requires a non-trivial observer system able to use the results of its interactions with the non-trivial machine to autonomously construct, deconstruct and reconstruct its own function. The algorithm and the dynamical model of the Ashby Box observer developed in this paper define the basic specifications of a general purpose, unsupervised learning architecture able to accomplish this task.

The problem exemplified by the Ashby Box is fundamental and goes to the roots of cybernetic theory; second-order cybernetics offers an adequate foundation for the mathematical modeling of this problem.

Considering the technology learning system as a non‐trivial machine, this paper seeks to take a first step to ground experience and learning curves in cybernetic theory.

Assuming operational closure, feedback regulation and a constant elasticity of output/input ratio to cumulative output makes it possible to calculate eigenvalues for the self‐reflecting loop in the learning system.

The results imply a zero mode learning rate of 20 per cent with higher modes providing learning rates smaller than 8 per cent. The results reproduce the grand features of technology learning.

The NTM approach provides basis for work to understand improvements in grafted technologies and effects on learning from radical innovations.

Further inquiries into the learning system need complementary organisational analysis.

Based on the theory of the non‐trivial machine, this paper takes the first step to ground the experience and learning curves in cybernetic theory.

The purpose of this paper is to recuperate Heinz von Foerster’s “Quantum Mechanical Theory of Memory” from Cybernetics: Circular, Causal, and Feedback Mechanisms in Biological and Social Systems and John von Neumann’s The Computer and the Brain for present-day, and future, applications in biophysics, theories of information and cognition, and quantum theories; the main objective is to ground cybernetic theory for a critical evaluation of the historical evolution of the Monte Carlo method, with potential for application to quantum computing.

Close-reading of selected texts, historiography, and case studies in current developments in the Monte Carlo method of high-energy particle physics (HEP) for developing a platform for bridging the apparently incommensurable differences between the physical-mathematical and the biological sciences.

First, usefulness of the cybernetic approach for historicizing the Monte Carlo method in relation to digital computing and quantum physics. Second, development of an inter/trans-disciplinary approach to the hard sciences through a critical re-evaluation of the historical texts of von Foerster and von Neumann for application to developments in quantum theory, biophysics, and computing.

This work is largely theoretical and uses dialectical thought experiments to engage between sciences operating across different ontological scales.

Consideration of developments of quantum computing and how that would change one’s perception of information, data, and the way in which analysis is currently performed with big data.

This is the first time that von Neumann and von Foerster have been contrasted and compared in relation to their epistemic compatibility, historical importance, and relevance for producing a creative approach to current scientific epistemology. This paper hopes to change how the authors view trans-disciplinary/inter-disciplinary practices in the sciences and produce new vistas of thought in the history and philosophy of science.