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 Luhmann, coupled with embodied theories of cognition and semiotics as a general theory of meaning from von Uexküll and Peirce.

Key words: Perspectivism, semiotics, complex phenomena, social systems theory, differentiation of science, perspectival knowledge asymmetries.

Excerpt: Ecology is an eminently practical discipline, but the practical dilemmas of the ecological movement – and arguably of the environmental crisis itself – are the consequences of our failure to comprehend the complexity and unity of nature theoretically. The ecological crisis is first and foremost an epistemological crisis. 1 As Thomas Kuhn has taught us, such crises are potentially revolutionary episodes out of which new paradigms can emerge. 2 We have also learned from Kuhn that paradigm shifts are rarely sudden events; usually they unfold over decades or even centuries. So it has been with the search for a new paradigm that was inaugurated by Goethe’s scientific work. 3 As a practicing scientist and as a philosopher of science, Goethe both foresaw the crisis of mechanistic explanation and laid foundations for a new paradigm that might replace it. 4 In doing so, he also laid foundations for a future, alternative science of ecology. Although the term “ecology” did not exist until Ernst Haeckel coined it in 1866, Goethe was a profound ecologist in principle and practice if not yet in name. 5 This essay on four major “Goethean ecologists” seeks to add a brief chapter to the history of the reception of Goethe’s scientific work6 and also to Donald Worster’s now standard history of ecology, 7 which barely mentions Goethe in passing.

For some years, there have been in‐service efforts to help teachers become familiar with constructivist ideas about learning, and to apply them in their science teaching. This study is a vignette of one teacher’s science teaching some time after such an in‐service activity. It explores the ways in which the teacher implemented his perceptions of constructivist ideas about learning in his teaching of a topic. The extent to which the teacher used teaching principles based on constructivism was influenced by his views of science and of learning, how he usually planned his teaching, and his confidence in his own understanding of the topic. Features of the teaching which reflect a constructivist view of learning are discussed and some problems are identified. We conclude with some reflections about in‐service programs within a constructivist framework.

While structured as an autobiography, this memoir exemplifies ways in which classic contributions to cybernetics (e.g., by Wiener, McCulloch & Pitts, and von Neumann) have fed into a diversity of current research areas, including the mathematical theory of systems and computation, artificial intelligence and robotics, computational neuroscience, linguistics, and cognitive science. The challenges of brain theory receive special emphasis. Action-oriented perception and schema theory complement neural network modeling in analyzing cerebral cortex, cerebellum, hippocampus, and basal ganglia. Comparative studies of frog, rat, monkey, ape and human not only deepen insights into the human brain but also ground an EvoDevoSocio view of “how the brain got language.” The rapprochement between neuroscience and architecture provides a recent challenge. The essay also assesses some of the social and theological implications of this broad perspective.

Key words: action-oriented perception, ape, architecture, artificial intelligence, automata theory, basal ganglia, brain theory, cerebellum, cerebral cortex, cognitive science, computational neuroscience, cybernetics, frog, hippocampus, human, language evolution, li

Analyzing the outline of the endless literature on consciousness, the separation between science and philosophy rather than being overcome, seems to come back in different shapes. According to this point of view, the hard problem seems to be how to study consciousness while avoiding a slip back to the old dualism. This article outlines the advantages of the phenomenological method. This method, more than getting over the mind-body separation, anticipates it through an open gaze, able to bring back the human presence as something structurally “ambiguous.” Reintroducing Husserl’s scientific project in a complete way, Francisco Varela opened up a research area yet to be explored, which promises to be fertile for neuroscience, provided that we accept that radicalism essential to phenomenology.

Key words: Ambiguity, consciousness, dualism, Husserl, phenomenological method, Varela

In this part of our work about a comparison between Kelly’s personal construct theory and phenomenology, we enter the fields of psychotherapy and research. The topic of intersubjectivity, meant as original recognition of the other’s subjectivity, provides a backdrop for both phenomenological clinic and Kellyan psychotherapy. Though Kelly never used the term “intersubjectivity,” his theory and the corollary of sociality in particular, reveals a view of interpersonal relationships as intercorporeality, which is much closer to phenomenological ideas than to the cognitive ones. Depending on such commonality, in either cases clinical relationship is not viewed as an “aspecific factor” of psychotherapy, but as the essential tool for the care of other. Furthermore, the core role of intersubjectivity in scientific knowledge implies a radical revision of the criteria of research. Consistently with the intent of a science of experience, it is no more a matter of collecting data, as of accepting meanings. Psychological research has to refound itself in continuity with life and recognize the need for a real involvement and real interaction with the subjects, as far as to reverse the traditional relation between clinic and research. It is nonsense to conceive clinic as an applicative sector of a pure science because clinic, on the contrary, is the place where one can know, in first-person, those meaningful realities which take shape in the intersubjective exchange of ideas, in order to make them comprehensible and controllable. Relevance: The publication explores the dimension of intersubjectivity in phenomenology (starting from Husserl) and personal construct theory, and its relevance in psychotherapy and research.

Open peer commentary on the article “Decentering the Brain: Embodied Cognition and the Critique of Neurocentrism and Narrow-Minded Philosophy of Mind” by Shaun Gallagher. Abstract: I intend to explore some of the implications of Gallagher’s target article. Retracing the circulation of concepts such as “embodied,” “embedded,” “extended,” etc. in social epidemiology, feminist science and epigenetics, I advocate for studying E-approaches from an epistemological, historical and political viewpoint in order to critically assess the transformations of knowledge that we are currently witnessing.

Excerpt: As I read the cybernetic literature, I became intrigued that as an approach to the mind which was often described as a predecessor to AI, cybernetics had a much more sophisticated approach to mind than its purported successor. I was soon led to Prof. Herbert Brün’s seminar in experimental composition, and to the archives of the Biological Computer Laboratory (BCL) in the basement of the University of Illinois library. Since then, I have been trying to come to terms with what it was that was so special about the BCL, what allowed it to produce such interesting ideas and projects which seem alien and exotic in comparison to what mainstream AI and Cognitive Science produced in the same era. And yet, despite its appealing philosophical depth and technological novelty, it seems to have been largely ignored or forgotten by mainstream research in these areas. I believe that these are the same concerns that many of the authors of the recent issue of Cybernetics and Human Knowing (Brier & Glanville, 2003) express in regard to the legacy of von Foerster and the BCL. How could such an interesting place, full of interesting things and ideas have just disappeared and been largely forgotten, even in its own home town?

Excerpt: The purpose of this essay is to clarify some of the important senses in which the relationship between the brain and the computer might be considered as one of “modeling.” It also considers the meaning of “simulation” in the relationships between models, computers and brains. While there has been a fairly broad literature emerging on models and simulations in science, these have primarily focused on the physical sciences, rather than the mind and brain. And while the cognitive sciences have often invoked concepts of modeling and simulation, they have been frustratingly inconsistent in their use of these terms, and the implicit relations to their scientific roles. My approach is to consider the early convolution of brain models and computational models in cybernetics, with the aim of clarifying their significance for more current debates in the cognitive sciences. It is my belief that clarifying the historical senses in which the brain and computer serve as models of each other in the historical period prior to the birth of AI and cognitive science is a crucial task for an archeology of AI and the history of cognitive science.

This dissertation reconsiders the nature of scientific models through an historical study of the development of electronic models of the brain by Cybernetics researchers in the 1940s. By examining how these unique models were used in the brain sciences, it develops the concept of a “working model” for the brain sciences. Working models differ from theoretical models in that they are subject to manipulation and interactive experimentation, i.e., they are themselves objects of study and part of material culture. While these electronic brains are often disparaged by historians as toys and publicity stunts, I argue that they mediated between physiological theories of neurons and psychological theories of behavior so as to leverage their compelling material performances against the lack of observational data and sparse theoretical connections between neurology and psychology. I further argue that working models might be used by cognitive science to better understand how the brain develops performative representations of the world.