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2014
In recent years a new science frontier emerged under the umbrella term of second-order science which creates new and challenging problems through a characteristic re-entry-operation like in pattern of patterns, learning of learning, cybernetics of cybernetics or logic of logic, which works with and on building blocks or elements of traditional or first-order scientific research and which, due to this re-entry configuration, becomes inherently reflexive. In this article I will pursue the ambitious goal to develop a general methodology for second-order science which is needed for second-order analyses from their initial stages up to the final steps. This general methodology will be framed as a sequence of recombination operations which become the central task for a particular step in the design of second-order investigations.
• ariegler/at/vub.ac.be > Context • Many recent research areas such as human cognition and quantum physics call the observer-independence of traditional science into question. Also, there is a growing need for self-reflexivity in science, i.e., a science that reflects on its own outcomes and products. > Problem • We introduce the concept of second-order science that is based on the operation of re-entry. Our goal is to provide an overview of this largely unexplored science domain and of potential approaches in second-order fields. > Method • We provide the necessary conceptual groundwork for explorations in second-order science, in which we discuss the differences between first-and second-order science and where we present a roadmap for second-order science. The article operates mainly with conceptual differentiations such as the separation between three seemingly identical concepts such as Science II, Science 2.0 and second-order science. > Results • Compared with first-order science, the potential of second-order science lies in 1. higher levels of novelty and innovations, 2. higher levels of robustness and 3. wider integration as well as higher generality. As first-order science advances, second-order science, with re-entry as its basic operation, provides three vital functions for first-order science, namely a rich source of novelty and innovation, the necessary quality control and greater integration and generality. > Implications • Second-order science should be viewed as a major expansion of traditional scientific fields and as a scientific breakthrough towards a new wave of innovative research. > Constructivist content • Second-order science has strong ties with radical constructivism, which can be qualified as the most important root/origin of secondorder science. Moreover, it will be argued that a new form of cybernetics is needed to cope with the new problems and challenges of second-order science.
Context • Philosophy of science is the branch of philosophy that deals with methods, foundations, and implications of science. It is a theory of how to create scientific knowledge. Presently there is widespread agreement on how to do science, namely conjectures, ideally in the form of a mathematical model, and refutations, testing the model using empirical evidence. Problem • Many social scientists are using a conception of science created for the physical sciences. Expanding philosophy of science so that it more successfully encompasses social systems would create new avenues of inquiry. Two dimensions could be added to philosophy of science: the amount of attention paid to the observer and the amount of impact of a theory on the system described. Method • My approach is to illuminate underlying assumptions. I claim that there are at least three epistemologies and that they can be combined to form a more robust conception of knowledge and of how to do research. There are at least four models and four basic elements (i.e., ideas, groups, events, variables) being used by (social) scientists. Results • The article identifies the logical propositions underlying second-order science. It suggests strategies for developing second-order science. And it describes several methods that can be used to practice second-order science, including how past theories have not only described but also changed the phenomenon being studied. Implications • The task for members of the scientific community, particularly social scientists, is to practice second-order science and to further develop its theories and methods. A practical implication is to accept methods for acting as well as theories as a contribution to science, since methods explicitly define the role of an observer/ participant. Constructivist content • The paper is an extension of the work of Heinz von Foerster and other second-order cyberneticians. Key words • Philosophy of science, epistemology, models, descriptions, cybernetics.
Constructivist Foundations, 2010
> Context • The enactive paradigm in the cognitive sciences is establishing itself as a strong and comprehensive alternative to the computationalist mainstream. However, its own particular historical roots have so far been largely ignored in the historical analyses of the cognitive sciences. > Problem • In order to properly assess the enactive paradigm’s theoretical foundations in terms of their validity, novelty and potential future directions of development, it isessential for us to know more about the history of ideas that has led to the current state of affairs. > Method • The meaning of the disappearance of the field of cybernetics and the rise of second-order cybernetics is analyzed by taking a closer look at the work of representative figures for each of the phases – Rosenblueth, Wiener and Bigelow for the early wave of cybernetics, Ashby for its culmination, and von Foerster for the development of the second-order approach. > Results • It is argued that the disintegration of cybernetics eventually resulted in two distinct scientific traditions, one going from symbolic AI to modern cognitive science on the one hand, and the other leading fromsecond-order cybernetics to the current enactive paradigm. > Implications • We can now understand that the extent to which the cognitive sciences have neglected their cybernetic parent is precisely the extent to which cybernetics hadalready carried the tendencies that would later find fuller expression in second-order cybernetics.
The traditional sciences have always had trouble with ambiguity. Through the imposition of “enabling constraints” -- making a set of assumptions and then declaring ceteris paribus -- science can bracket away ambiguity. These enabling constraints take the form of uncritically examined presuppositions or “uceps.” Second order science examines variations in values assumed for these uceps and looks at the resulting impacts on related scientific claims. After rendering explicit the role of uceps in scientific claims, the scientific method is used to question rarely challenged assertions. This article lays out initial foundations for second order science, its ontology, methodology, and implications.
For communicating second-order science, von Foerster’s ethical imperative provides a viable starting point. Proceeding from this, we plead in favour of emphasising the common grounds of diverging scientific opinions and of various approaches in second-order science instead of focussing on the differences. This will provide a basis for communication and stimulate scientific self-reflection.
In recent years the field of cybernetics has been described as consisting of two bodies of work created in two time periods: first order cybernetics from the late 1940s until about 1975, and second order cybernetics from the mid 1970s to the present. Each period lasted about 25 years. What comes next? I shall describe here what I think comes next and how the new point of view emerged, at least in my own thinking.
“Second-order Logic” in Anderson, C.A. and Zeleny, M., Eds. Logic, Meaning, and Computation: Essays in Memory of Alonzo Church. Dordrecht: Kluwer, 2001. Pp. 61–76. The original session on this article expired before most views and downloads took place. It has had over 10,000 views and over 500 downloads. The new readers deserve a new session. Abstract. This expository article focuses on the fundamental differences between second- order logic and first-order logic. It is written entirely in ordinary English without logical symbols. It employs second-order propositions and second-order reasoning in a natural way to illustrate the fact that second-order logic is actually a familiar part of our traditional intuitive logical framework and that it is not an artificial formalism created by specialists for technical purposes. To illustrate some of the main relationships between second-order logic and first-order logic, this paper introduces basic logic, a kind of zero-order logic, which is more rudimentary than first-order and which is transcended by first-order in the same way that first-order is transcended by second-order. The heuristic effectiveness and the historical importance of second-order logic are reviewed in the context of the contemporary debate over the legitimacy of second-order logic. Rejection of second-order logic is viewed as radical: an incipient paradigm shift involving radical repudiation of a part of our scientific tradition, a tradition that is defended by classical logicians. But it is also viewed as reactionary: as being analogous to the reactionary repudiation of symbolic logic by supporters of “Aristotelian” traditional logic. But even if “genuine” logic comes to be regarded as excluding second-order reasoning, which seems less likely today than fifty years ago, its effectiveness as a heuristic instrument will remain and its importance for understanding the history of logic and mathematics will not be diminished. Second-order logic may someday be gone, but it will never be forgotten. Technical formalisms have been avoided entirely in an effort to reach a wide audience, but every effort has been made to limit the inevitable sacrifice of rigor. People who do not know second-order logic cannot understand the modern debate over its legitimacy and they are cut-off from the heuristic advantages of second-order logic. And, what may be worse, they are cut-off from an understanding of the history of logic and thus are constrained to have distorted views of the nature of the subject. As Aristotle first said, we do not understand a discipline until we have seen its development. It is a truism that a person's conceptions of what a discipline is and of what it can become are predicated on their conception of what it has been.
Proceedings of the 59th Annual Meeting of the ISSS - 2015 Berlin, Germany
Since around 1980, Ranulph Glanville has put forward the idea that rather than seeing research in design as one form of science, we instead see scientific research as a specific form of design. This argument, based on the way that scientific research inevitably involves design activity but not vice versa, and others like it around that time consolidate a shift during the 1970s in thinking about design, from a concern with the scientific method to the idea that design has its own epistemological foundations as a discipline. The attempt to base design on a linear version of the scientific method failed for reasons that have been pointed out by Horst Rittel amongst others: because design involves the creation of the new, design questions cannot be exhaustively formulated in advance. This has marked something of a parting of the ways between design and science as being incompatible in terms of method. Given Glanville’s argument this is not what we might expect: if science is a limited form of design, shouldn’t scientific approaches be commensurable with design even if they are not a basis for it? This apparent disjunction is only the case if we follow the changes in how design was thought about during this period without also following the comparable changes regarding science. Both broadly parallel each other, moving from a concern with method in the 1960s through a critique of this in the 1970s to new foundations from the 1980s onwards, focusing on what designers and scientists actually do in practice. Indeed the key critiques of method advanced by Feyerabend and Rittel, in science and design respectively, have similar structures and, so, what seems at first sight to be a rupture can also be read as a parallel journey. Using this account as a basis, and in the light of recent discussions regarding the idea of second order science, I suggest that we can understand contemporary design research as one example of second order research practice, as is indicated by its continuity with cybernetics. More speculatively, and with reference to the Fun Palace project of Joan Littlewood and Cedric Price, to which Gordon Pask also contributed, I suggest that architecture can itself sometimes be thought of as facilitating such a reflective and participatory enquiry.
Constructivist Foundations, 2014
> Context • The problems that are most in need of interdisciplinary collaboration are " wicked problems, " such as food crises, climate change mitigation, and sustainable development, with many relevant aspects, disagreement on what the problem is, and contradicting solutions. Such complex problems both require and challenge interdisciplinarity. > Problem • The conventional methods of interdisciplinary research fall short in the case of wicked problems because they remain first-order science. Our aim is to present workable methods and research designs for doing second-order science in domains where there are many different scientific knowledges on any complex problem. > Method • We synthesize and elaborate a framework for second-order science in interdisciplinary research based on a number of earlier publications, experiences from large interdisciplinary research projects, and a perspectivist theory of science. > Results • The second-order polyocular framework for interdisciplinary research is characterized by five principles. Second-order science of interdisciplinary research must: 1. draw on the observations of first-order perspectives, 2. address a shared dynamical object, 3. establish a shared problem, 4. rely on first-order perspectives to see themselves as perspectives, and 5. be based on other rules than first-order research. > Implications • The perspectivist insights of second-order science provide a new way of understanding interdisciplinary research that leads to new polyocular methods and research designs. It also points to more reflexive ways of dealing with scientific expertise in democratic processes. The main challenge is that this is a paradigmatic shift, which demands that the involved disciplines, at least to some degree, subscribe to a perspectivist view. > Constructivist content • Our perspectivist approach to science is based on the second-order cybernetics and systems theories of von Foerster, Maruyama, Maturana & Varela, and Luh-mann, coupled with embodied theories of cognition and semiotics as a general theory of meaning from von Uexküll and Peirce. >
Kybernetes, 2004
In 1974, Heinz von Foerster articulated the distinction between a first-and second-order cybernetics, as, respectively, the cybernetics of observed systems and the cybernetics of observing systems. Von Foerster's distinction, together with his own work on the epistemology of the observer, has been enormously influential on the work of a later generation of cyberneticians. It has provided an architecture for the discipline of cybernetics, one that, in true cybernetic spirit, provides order where previously there was variety and disorder. It has provided a foundation for the research programme that is second-order cybernetics. However, as von Foerster himself makes clear, the distinction he articulated was imminent right from the outset in the thinking of the early cyberneticians, before, even, the name of their discipline had been coined. In this paper, the author gives a brief account of the developments in cybernetics that lead to von Foerster's making his distinction. As is the way of such narratives, it is but one perspective on a complex series of events. Not only is this account a personal perspective, it also includes some recollections of events that were observed and participated in at first hand.
New Horizons for Second Order Cybernetics, 2018
In almost 60 articles this book reviews the current state of second-order cybernetics and investigates which new research methods second-order cybernetics can offer to tackle wicked problems in science and in society. The contributions explore its application to both scientific fields (such as mathematics, psychology, and consciousness research and non-scientific ones such as design theory and theater science. The book uses a pluralistic, multi-faceted approach to discuss these applications. Each main article is accompanied by several commentaries and author responses, which together allow the reader to discover further perspectives than in the original article alone. This procedure shows that second-order cybernetics is already on its way to becoming an idea shared by many researchers in a variety of disciplines.
Constructivist Foundations, 2014
The work that scientists do, particularly social scientists, is currently constrained by their conception of science. Expanding the conception of science would lead to more innovative work and more rapid social progress.
Reconceptualizing Educational Research Methodology, 2012
This article is about seeing/creating/trying out an idea of pedagogy and pedagogical/ educational research in/as/with self-reflexive, circular and diffractive perspectives and about using second order cybernetics as thinking tool. It is a move away from traditional hypothesis driven activities and a move towards data driven pedagogies and research: Teachers, teacher researchers and researchers simultaneously producing and theorizing our practices and ourselves. Deleuzian becomings-eventually becomings with data -theory -theodata is pivotal. It is a move towards a Derridean bricolage. A different science of pedagogy operating as a circular science of self-reflexivity and diffraction in search of quality again and again and again: Theopractical becomings and inspiractionresearch.
Encyclopaedia of Life Support Systems, 2002
Second order Cybernetics (also known as the Cybernetics of Cybernetics , and the New Cybernetics ) was developed between 1968 and 1975 in recognition of the power and consequences of cybernetic examinations of circularity. It is Cybernetics , when Cybernetics is subjected to the critique and the understandings of Cybernetics . It is the Cybernetics in which the role of the observer is appreciated and acknowledged rather than disguised, as had become traditional in western science: and is thus the Cybernetics that considers observing, rather than observed systems.
Kybernetes, 2004
In this paper, the origins of second-order Cybernetics are sketched, and are particularly identified with circularity: a quality that was at the basis of the studies that lead to the creation of the field of Cybernetics. The implications of the new analysis that second-order Cybernetics (Cybernetics treated cybernetically: that is, Cybernetics when circularity is taken seriously) gives rise to are considered in terms of the two qualities that Wiener gave to Cybernetics in his eponymous book -control and communication. Finally, the analysis is applied to that other proto-cybernetic concept, purpose. It is shown that (and in consequence how) the notion of goal and purpose must be radically reconsidered in second-order Cybernetic systems.
Scientific inquiry often encounters the challenge of interpreting phenomena at the boundaries of disciplines, where abstract concepts like "force," "boundary," or "emergence" resist rigid definition. This paper introduces a novel interdisciplinary analytical method, Meta-Recursive Analysis (Latin: Analyticum Recursive Meta), which integrates philosophical reasoning, logic, and recursion to uncover hidden phenomena and provide a deeper meta-ontological understanding of existing scientific paradigms. By dissolving artificial distinctions and embracing the recursive interdependence of concepts, this framework elucidates emergent behaviours and reframes classical models across disciplines like aerodynamics, fluid mechanics, quantum mechanics, and neuroscience. This method also informs novel technological innovations by translating insights from higher levels of recursion into actionable designs. Implications for theory, experimentation, and interdisciplinary innovation are discussed, highlighting the transformative potential of combining philosophy and science.
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