The article investigates the possibility of formation of creative competencies of students within the framework of scientific personnel training. It is noted that the available training courses within the framework of general training of scientific personnel allow to prepare a specialist who is able to use existing knowledge, but such a specialist is not trained in creativity. For the formation of creative competences it is necessary to take a training course of the general theory of systems, the (...) purpose of which is to create a universal methodology of reliable representation of models of objects, based on the similarity (isomorphism) of the forms and laws of the universe. A detailed argumentation of the connection between creativity and holistic representation of being, the empirical manifestation of which is isomorphism, is given. The mechanism of knowledge translation within the framework of the mechanism of multisystem integration of human being, the mechanism of knowledge borrowing by human being from sensually comprehended forms of reality is investigated. It is stated that in order to meet the set tasks of cognition, a version of the general theory of systems, extended by the metaphysical component, is required. Further, starting from the metaphysical description of the foundations of the phenomenon of isomorphism observed in the practice of cognition, it is possible to form complete collections of patterns - typical forms, templates of objects and their relations. At present, the work on such a version of the general theory of systems is being finalized. The article concludes with a discussion of the problematics of teaching general systems theory. It emphasizes two components: the issue of positioning the training course "General Theory of Systems" in relation to other courses, as well as taking into account the specifics of the subject area of students in different specialties (directions). (shrink)

The article analyzes the possibilities and limitations of artificial intelligence. The article considers the subjectivity of artificial intelligence, determines its necessity for solving intellectual problems depending on the possibility of representing the real world as a deterministic system. Methodological limitations of artificial intelligence, which is based on the use of big data technologies, are stated. These limitations cause the impossibility of forming a holistic representation of the objects of cognition and the world as a whole. As a tool for (...) deterministic description of the universe it is proposed to use empirical-metaphysical general theory of systems, which is an extension of existing general theories of systems due to ontological justification of the phenomenon of isomorphism and definition of a limited set of laws, rules, patterns and primitives of forms and relations of objects in the universe. The distinction of natural (human) and artificial intelligence is considered, including the realization of multisystem integration of intelligence in physical, biological, social and spiritual systems. A philosophically grounded approach to ensuring the evolutionary properties of artificial intelligence is formulated, based on the inclusion of non-equilibrium mechanisms through which stability is realized. (shrink)

Open peer commentary on the article “The Autopoiesis of Social Systems and its Criticisms” by Hugo Cadenas & Marcelo Arnold. Upshot: Cadenas and Arnold contribute towards a better understanding of what is at stake in the long debate concerning the applicability of Maturana’s autopoiesis concept to social systems. However, their target article has two shortcomings: it does not provide a deeper understanding of the reasons why Luhmann’s adoption of the autopoiesis concept has proved to be sterile after decades of debate; (...) and their historic account does not integrate recent developments that need to be highlighted to improve interdisciplinary research. (shrink)

L’articolo si propone di indagare le implicazioni ecologiche di due differenti tendenze sistemiche: La General Systems Theory di Ludwig von Bertalanffy, che fa da cornice alla Systems Ecology di Eugene Odum; La Second-Order Cybernetics elaborata da Heinz von Foerster, Humberto Maturana e Niklas Luhmann, che costituisce la matrice di un nuovo paradigma ecologico denominato General Ecology. Nell’articolo verranno comparate la GST e la SOC in relazione ai loro differenti modi di intendere il sistema e la sua genesi; (...) il ruolo dell’osservatore nella definizione dei confini di un sistema; e la relazione tra sistema e ambiente. Verrà mostrato come la SOC, mettendo in causa il principio del controllo gerarchico della GST, conduce alla nozione di differenze ecologiche, con la quale si indica una pluralità di diadi sistema-ambiente, problematizzando così la nozione di ambiente come riferimento fisico e oggettivo. (shrink)

The origination of General Systems Theory is credited to Ludwig von Bertalanffy who, two years after receiving his doctorate from the University of Vienna, published a work in 1932 entitled Theorie der Formbildung. Despite, by his own account, an exposure to and familiarity with the positivism of the Vienna circle, von Bertalanffy was dissatisfied with the reductionist and atomistic forms of explanation which this group asserted is characteristic of scientific explanation. He was particularly unhappy with attempts to pattern (...) explanations of biological phenomena after the model of classical Newtonian physics. In this early work, Models Theories of Development, von Bertalanffy maintained both that the main problem for biology is to discover patterns (laws) which are typical of biological systems and that the discovery of such patterns would produce a major change in the way the world is viewed in general. Von Bertalanffy worked out his proposed model for biological explanation in such subsequent books as Theoretische Biologie and Problems of Life and then in his later years in such works as Robots, Man and Minds and Organismic Psychology and Systems Theory, went on to apply his concepts in a cross-disciplinary way to psychology. Again, by his own account, at a somewhat later period, others, for example the economist Kenneth Boulding and the bio-mathematician A. Rapport, had arrived at, for parallel reasons, certain similar ideas relative to their own disciplines. These individuals together with others formed a joint enterprise which was to result in the interdisciplinary systems movement. Von Bertalanffy stressed the multi-dimension possibilities for fruitful research in a large number of conceptual areas, including the humanities, in his final major work, General Systems Theory Foundation, Development and Applications. (shrink)

Most philosophers of economics are hostile towards neoclassical economics in general and general equilibrium theory in the vein of Arrow and Debreu in particular. Especially the latter’s dismissal is justified by pointing out its lack of direct relevance for an understanding of real economies. Many recommend a more pragmatic approach along the lines of Keynes instead. The criterion of scientific legitimacy underlying this approach derives from a philosophy of science developed along the lines of Popper and Lakatos. (...) They, however, neglect the importance of conceptual problems and of the choice of adequate ‘language-systems’ in science. Since these conceptual and ‘linguistic’ aspects may be able to explain and to justify the rationale of the Arrow-Debreu approach, I recommend the more balanced philosophies of Carnap and Laudan, in which conceptual as well as empirical problems are allowed for, as a framework for methodological appraisal. I explain why such a balanced view is obstructed for most philosophers of economics and advocate a moderate pluralism leaving room for different theories, methodologies and language-systems, depending on the scientific aims that are pursued. (shrink)

In this paper the central ideas and history of the theory of complex systems are described. It is shown how this theory lends itself to different interpretations and, correspondingly, to different political conclusions.

Open peer commentary on the article “The Autopoiesis of Social Systems and its Criticisms” by Hugo Cadenas & Marcelo Arnold. Upshot: The authors claim that it is justified to extend the concept of autopoiesis from its biological origin to other disciplines, predominately those that have a social character. However, the authors do not lay strong enough conceptual grounds to justify this extension of autopoiesis because it is unclear what concept of autopoiesis it is that would achieve this objective, or why (...) the concept of autopoiesis itself should be crucial to this endeavor. (shrink)

A systems theory for chemistry is proposed in order to provide a general framework, which covers different theoretical approaches used in the molecular sciences.The basic elements of systems theory are introduced and discussed.By construction, this systems chemistry offers classification and categorizationschemes that will help to identify the range of applicability of certain theoretical approachesas well as to find yet unanswered fundamental questions. Consequently, it will be of value not only to thosewho want to understand and study the (...) structure of chemistry, but it might also be of importance to daily research in chemistry. (shrink)

Does systems theory need rethinking? Most social scientists would probably say no. It had its run, was debated critically, and found wanting. If at all, it should be treated historically. Why then might systems theory need rethinking, as the title of this symposium claims? The reason is that, unlike in the natural and biosocial sciences, any conception of system in the social sciences has remained suspect in the wake of problematic Parsonian and cybernetic systems theories. The premise (...) of this special issue is that abandoning conceptions of systems has imposed a high price on the social sciences: a lack of ontologies and methodologies that are both philosophically profound and scientifically defensible. It has left social scientists who choose to ignore ontology in their theoretical and empirical work defenseless against enterprising settlers from a variety of humanities and social science disciplines who attack mainstream work with—often simplistic and naïve, but nevertheless fundamental—philosophical arguments, whether anti-scientific postmodernists or pseudo-scientific rational choice theorists. The goal of this special issue is to showcase new and original work that contributes to a rethinking of systems theory by taking the conception of systems seriously. This introduction offers a programmatic statement of a systemic ontology and methodology as well as a brief general outline and examples of what a systems-based approach in the social sciences entails. Key Words: systems theory • systemism • systemic approach • complexity theory • self-organization • emergentism • paradigms • social mechanisms • Mario Bunge. (shrink)

Dynamical systems theory (DST) is gaining popularity in cognitive science and philosophy of mind. Recently several authors (e.g. J.A.S. Kelso, 1995; A. Juarrero, 1999; F. Varela and E. Thompson, 2001) offered a DST approach to mental causation as an alternative for models of mental causation in the line of Jaegwon Kim (e.g. 1998). They claim that some dynamical systems exhibit a form of global to local determination or downward causation in that the large-scale, global activity of the system (...) governs or constrains local interactions. This form of downward causation is the key to the DST model of mental causation. In this paper I evaluate the DST approach to mental causation. I will argue that the main problem for current DST approaches to mental causation is that they lack a clear metaphysics. I propose one metaphysical framework (Gillett, 2002a/b/c) that might deal with this deficiency. (shrink)

This paper supports the literature which argues that derivational robustness can have epistemic import in highly idealized economic models. The defense is based on a particular example from mathematical economic theory, the dynamic Walrasian general equilibrium model. It is argued that derivational robustness first increased and later decreased the credibility of the Walrasian model. The example demonstrates that derivational robustness correctly describes the practices of a particular group of influential economic theorists and provides support for the arguments of (...) philosophers who have offered a general epistemic justification of such practices. (shrink)

Understanding biological systems in terms of scientific materialism has arguably reached a frontier, leaving fundamental questions about their complexity unanswered. In 1998, Friedrich Cramer proposed a general resonance theory as a way forward. His theory builds on the extension of the quantum physical duality of matter and wave to the macroscopic world. According to Cramer’ theory, agents constituting biological systems oscillate, akin to musical soundwaves, at specific eigenfrequencies. Biological system dynamics can be described as “Symphonies (...) of Life” emerging from the resonance (and dissonance) of eigenfrequencies within the interacting collective. His theory has potential for studying biological problems of increasing complexity in a fast‐changing Anthropocene from a new and transdisciplinary angle. Despite data becoming increasingly available for analyses, Cramer's theory remains ignored and therefore untested a quarter century after its publication. This paper discusses how the theory can move to quantitative assessments and application. Cramer's general resonance theory deserves revival. (shrink)

This paper proposes that neurodynamic system theory may be used to connect structural and functional aspects of neural organization. The paper claims that generalized causal dynamic models are proper tools for describing the self-organizing mechanism of the nervous system. In particular, it is pointed out that ontogeny, development, normal performance, learning, and plasticity, can be treated by coherent concepts and formalism. Taking into account the self-referential character of the brain, autopoiesis, endophysics and hermeneutics are offered as elements (...) of a poststructuralist brain (-mind-computer) theory. (shrink)

The question of whether there are laws of nature in ecology has developed substantially in the last 20 years. Many have attempted to rehabilitate ecology’s lawlike status through establishing that ecology possesses laws that robustly appear across many different ecological systems. I argue that there is still something missing, which explains why so many have been skeptical of ecology’s lawlike status. Community ecology has struggled to establish what I call a General Unificatory Theory. The lack of a GUT (...) causes problems for explanation as there are no guidelines for how to integrate the lower-level mathematical and causal models into a larger theory of how ecological assemblages are formed. I turn to a promising modern attempt to provide a unified higher-level explanation in ecology, presented by ecologist Mark Vellend, and advocate for philosophical engagement with its prospects for aiding ecological explanation. (shrink)

Philosophers of science have used various formulations of the "random mutation--natural selection" scheme to explain the development of scientific knowledge. But the uncritical acceptance of this evolutionary model has led to substantive problems concerning the relation between fact and theory. The primary difficulty lies in the fact that those who adopt this model (Popper and Kuhn, for example) are led to claim that theories arise chiefly through the processes of relatively random change. Systems theory constitutes a general (...) criticism of this model insofar as it demonstrates the necessity of supplementing this mechanism with the non-random influences exercised by the internal organization of a system on its own development. (shrink)

The main formal structures of generalized quantum theory are summarized. Recent progress has sharpened some of the concepts, in particular the notion of an observable, the action of an observable on states (putting more emphasis on the role of proposition observables), and the concept of generalized entanglement. Furthermore, the active role of the observer in the structure of observables and the partitioning of systems is emphasized.

The number of studies related to natural and artificial mechanisms of learning rapidly increases. However, there is no general theory of learning that could provide a unifying basis for exploring different directions in this growing field. For a long time the development of such a theory has been hindered by nativists' belief that the development of a biological organism during ontogeny should be viewed as parameterization of an innate, encoded in the genome structure by an innate algorithm, (...) and nothing essentially new is created during this process. Noam Chomsky has claimed, therefore, that the creation of a non-trivial general mathematical theory of learning is not feasible, since any algorithm cannot produce a more complex algorithm. This study refutes the above argumentation by developing a counter-example based on the mathematical theory of algorithms and computable functions. It introduces a novel concept of a Universal Learning System (ULS) capable of learning to control in an optimal way any given constructive system from a certain class. The necessary conditions for the existence of a ULS and its main functional properties are investigated. The impossibility of building an algorithmic ULS for a sufficiently complex class of controlled objects is shown, and a proof of the existence of a non-algorithmic ULS based on the axioms of classical mathematics is presented. It is argued that a non-algorithmic ULS is a legitimate object of not only mathematics, but also the world of nature. These results indicate that an algorithmic description of the organization and adaptive development of biological systems in general is not sufficient. At the same time, it is possible to create a rigorous non-algorithmic general theory of learning as a theory of ULS. The utilization of this framework for integrating learning-related studies is discussed. (shrink)

In this paper, I examine Daniel Dennett’s well-known intentional systems theory of belief and desire from the perspective of physicalism. I begin with a general discussion of physicalism. In the course of that discussion, I present familiar ways that one might attempt to reconcile physicalism with belief-desire realism. I then argue that intentional systems theory will not provide a reconciliation of physicalism and belief-desire realism.

Building on the views of Kant and early nineteenth century life scientists, Hegel develops a view of systems that is a clear precursor to the developments in Ludwig von Bertalanffy’s general system theory, as well as the thinking of the ecologically minded system thinkers that built upon the foundation Bertalanffy laid. Hegel describes systems as organic wholes in which the parts respectively serve as means and ends. Further, in the Encyclopedia version of the logic Hegel notes (...) that such systems are comprised of three processes: gestalt, the process of assimilation, and regeneration. In Hegel’s texts, he describes both natural and social systems as organic wholes with such systematic processes. In this paper, these processes and systems are described and it is argued that Hegel quite consistently applies views developed in the logic when describing systems. The paper shows how this parallels later developments in systems theory and goes on to show some distinctions between Hegel’s view of systems and that of later ecologically minded system thinkers. (shrink)

The parametric general systems theory is an adequate method of research in universalism. The article focuses on this theory and its formal apparatus—ternary description language. It shows the advantages of researching universalistic problems through the use of the systems method. Parametric systems theory can be helpful to universalism in acquiring the characteristics of a relatively rigorous scientific conception.

The scientific methodology underlying model-building is critically investigated. The modeling views of Popper and Samuelson and their prototypes are critically examined in the light of the theme of the moral law of unity of knowledge and unity of the world-system configured by the meta-epistemology of organic unity of knowledge. Upon such critical examination of received methodology of model-building in economics, the extended perspective?namely of integrating the moral law derived from the divine roots as the meta-epistemology?is rigorously studied. The example (...) of the Islamic prerogative in interpreting the holistic world-system through model-building in economics is highlighted. A religio-philosophical approach is adopted to exemplify some approaches in Islamic model-building. An especial focus is placed here on grassroots types of financing and activities. The critique of these models within the existing Islamic scholarship is carried out. The result is new dimensions of macroeconomic analysis that emanate in a logical way from the meta-epistemological approach, and oppose the mainstream ideas, both in received and Islamic economic thinking as of now. (shrink)

Reconstructability analysis (RA) decomposes wholes, namely data in the form either of set theoretic relations or multivariate probability distributions, into parts, namely relations or distributions involving subsets of variables. Data is modeled and compressed by variable-based decomposition, by more general state-based decomposition, or by the use of latent variables. Models, which specify the interdependencies among the variables, are selected to minimize error and complexity.

The article introduces recursive ontology, a general ontology which aims to describe how being is organized and what are the processes that drive it. In order to answer those questions, I use a multidisciplinary approach that combines the theory of levels, philosophy and systems theory. The main claim of recursive ontology is that being is the product of a single recursive process of generation that builds up all of reality in a hierarchical fashion from fundamental physical particles (...) to human societies. To support this assumption, I provide the general laws and the basic principles of recursive ontology as well as a semi-formalised model of the theory based on a recursive generative grammar. Recursive ontology not only actively promotes a multidisciplinary investigation of reality, but also can be used as a general framework to develop future domain-specific theories. (shrink)