Open peer commentary on the article “Missing Colors: The Enactivist Approach to Perception” by Adrián G. Palacios, María-José Escobar & Esteban Céspedes. Upshot: The target article discusses the influence of the enactivist account of perception in computer science, beyond subjectivism and objectivism. I suggest going one step further and introduce our VirtualEnaction platform, proposing a federative systemic view for brain-body-environment interaction for this analysis.

This paper undertakes a theoretical investigation of the “learning” aspect of science as opposed to the “knowledge” aspect. The practical background of the paper is in agricultural systems research – an area of science that can be characterised as “systemic” because it is involved in the development of its own subject area, agriculture. And the practical purpose of the theoretical investigation is to contribute to a more adequate understanding of science in such areas, which can form a basis for developing and evaluating systemic research methods, and for determining appropriate criteria of scientific quality. Two main perspectives on science as a learning process are explored: research as the learning process of a cognitive system, and science as a social, communicational system. A simple model of a cognitive system is suggested, which integrates both semiotic and cybernetic aspects, as well as a model of self-reflective learning in research, which entails moving from an inside “actor” stance to an outside “observer” stance, and back. This leads to a view of scientific knowledge as inherently contextual and to the suggestion of reflexive objectivity and relevance as two related key criteria of good science.

Key words: Agriculture, cognition, communication, experiential, learning, research, science, self-reflective, systemic

Contemporary research in artificial environments has marked the need for autonomy in artificial agents. Autonomy has many interpretations in terms of the field within which it is being used and analyzed, but the majority of the researchers in artificial environments are arguing in favor of a strong and life-like notion of autonomy. Departing from this point the main aim of this paper is to examine the possibility of the emergence of autonomy in contemporary artificial agents. The theoretical findings of research in the areas of living and cognitive systems, suggests that the study of autonomous agents should adopt a systemic and emergent perspective for the analysis of the evolutionary development of the notions/properties of autonomy, functionality, intentionality and meaning, as the fundamental and characteristic properties of a natural agent. An analytic indication of the functional emergence of these concepts and properties is provided, based on the characteristics of the more general systemic framework of second-order cybernetic and of the interactivist framework. The notion of emergence is a key concept in such an analysis which in turn provides the ground for the theoretical evaluation of the autonomy of contemporary artificial agents with respect to the functional emergence of their capacities. The fundamental problems for the emergence of genuine autonomy in artificial agents are critically discussed and some design guidelines are provided.

Key words: Agency, Autonomy, Downward Causation, Functionality, Intentionality, Meaning, Normativity, Self-organization, emergence

A series of articles has recently appeared in which implications of second-order cybernetics for the practice of family therapy have been discussed. In this article, we attempt to advance the discussion by addressing ideas that we think have not been adequately emphasized thus far. Specifically proposed are ideas about conditions that might facilitate the emergence of consciously pragmatic strategy informed by the kind of systemic wisdom that delicately balances natural systems without the benefit of human planning. It is argued that a shift in the personal habits of knowing and acting that typically organize individual human experience is required. After attempting to specify what this shift might involve, implications of these ideas for the practice of family therapy and for human action in general are discussed.

The book uses the method and categories of systems theory (inspired by Niklas Luhmann) in a scrutiny of the evolution of the main semantic trends of modern society and its influence in the formation of the systemic boundaries of the social systems of society. The book is an investigation of the meaning of the functional differentiation according to its semantic symptoms and evolution. In order to reconstruct the semantic evolution of basic modern socio-economic categories the book is divided according to the three classic branches of the political philosophy of the classic tradition, the Aristotelian division also conserved in Hegel’s own distribution of the themes of his “Sittlichkeit” – family, civil society and the state. Thus, in “The Individuation of Modern Society” the author explores the classic notion of oikós and its opposition to the pólis, the evolution of the concept of utility in modern times and its importance to the formation of the modern political economy and the economic system as an autonomous functional system, the idea of “civil society,” its meaning in the Hegelian description of the social modernity, the fragmentation of XVIIIth century civil society according to the use of the term “Entzweiung” in the Hegelian philosophical vocabulary, and the formation of the concept of the nation as a self-referential condition of the political system. The book finishes with a discussion of Niklas Luhmann’s theory of functional differentiation and his concept of the political system. Relevance: The book applies second-order cybernetics to the analysis of the evolution of modern social systems, especially in the case of the formation of self-referential conditions for the observation and reproduction of the systems.

Open peer commentary on the article “The Circular Conditions of Second-order Science Sporadically Illustrated with Agent-based Experiments at the Roots of Observation” by Manfred Füllsack. Upshot: I address Füllsack’s main conclusions in his article regarding the meaning of second-order observations. Especially envisaged are the epistemological and ontological difficulties raised by his scrutiny of the merging between systemic-internal conditions of second-order reflexivity and the thematic-theoretical accounts of selection, intentionality and purposiveness in evolutionary systems.

Social Systems Theory has a long and distinguished history. It has progressed from a mechanical model of social processes, to a biological model, to a process model, to models that encompass chaos, complexity, evolution and autopoiesis. Social systems design methodology is ready for the twenty-first century. From General Systems Theory’s early days of glory and hubris, through its days of decline and disparagement, through its diaspora into different disciplines, systems theory is today living up to its early expectations.

Key words: systemic model, roots of systems theory, branches of systems theory, history of systems theory.

Context: The discipline of knowledge management (KM) begins to understand a) that it should move towards a user-centred, socialized KM and b) which business objectives provide motivation to do so. However, it lacks ideas on how to reach the objective that it suggests and justifies. We contend in this paper that this change requires a more viable understanding of knowledge combined with a suitable model of social interaction, otherwise it will fail. Problem: The problem to be solved is to find a way to blend a model of social interaction and a suitable understanding of knowledge so that together they can contribute to the objective of implementing a “user-centred KM.” In this paper we show a solution articulated in several conceptual and experimental components and phases. Method: We use a systemic and cybernetic approach: systemic analysis of the problem, conception of a cybernetic approach, design of a systemic solution, and its evaluation in an experiment. The main methods used are systems engineering, cybernetic modelling, and knowledge engineering. Results: We propose seven interrelated results: 1. A defect analysis of KM; 2. The concept of knowledge as the “Logic of Experience”; 3. A set of five KM design principles; 4. The principle of “Knowledge Identity”; 5. The model of “Knowledge Cooperation”; 6. The architecture of a user-centred KM system; and 7. Insights from a KM experiment. Implications: Our results are useful for any stakeholder in today’s knowledge economy when they need to understand, design, build, nurture and support an organization’s capacity to learn and innovate for the benefit not only of the company’s financial owners but also of the individuals who work in it. Future research should urgently address the issues of “knowledge identity” and the “knowledge contract” and KM practice should design its next steps for moving towards a user-centred KM in conformity with the principle of “knowledge identity.” The paper links explicitly to radical constructivism and argues in favour of a radical constructivist foundation for KM in which knowledge is seen as the “Logic of Experience.” It also shows how this KM foundation can be extended with a social perspective and by that allow the individual and the social to be conceived of as complementary elements in one single KM system.

Key words: logic of experience, knowledge identity, knowledge cooperation, design for meaning, community of research, user-centred knowledge management

In this article a constructivist framework is proposed in order to integrate emergentist thought with systemic studies on biological autonomy – specifically: the autopoietic theory - which are focused on the role of organization. A particular attention is paid to the role of the observer’s activity, especially to the different operations he performs in order to identify the pertinent elements at each descriptive level and to the relationships between the different models he builds from them. An epistemological notion of emergence as non-derivability – that of “complex emergence” – is introduced, that allows a) a distinction between autonomy and self-organization, and b) a reinterpretation of downward causation not as a direct or indirect influence of the whole on its parts, but instead as an epistemological problem of interaction between descriptive domains.

The aim of this paper is to present some system-theoretical notions – such as constraint, closure, integration, coordination, etc. – which have recently raised a renovated interest and have undergone a deep development, especially in those branches of philosophy of biology characterized by a systemic approach. The implications of these notions for the analysis and characterization of self-maintaining organizations will be discussed with the aid of examples taken from models of minimal living systems, and some conceptual distinctions will be provided. In the last part of the paper the epistemic implications of these ideas will be presented.