El prefijo “auto” en autoorganización y autopoiesis se refiere a la existencia de una identidad o agencialidad implicada en el orden, organización o producción de un sistema que se corresponde con el sistema mismo, en contraste con el diseño o la influencia de carácter externo. La autoorganización (AO) estudia la manera en la que los procesos de un sistema alcanzan de forma espontánea un orden u organización complejo, bien como una estructura o patrón emergente, bien como algún tipo de finalidad (...) o identidad autoconstruida. En este trabajo nos ocupamos del concepto de AO en el contexto de la problemática sobre la naturaleza la vida y de los organismos vivientes. Este concepto se elabora en diferentes tradiciones científicas y filosóficas, a partir de su origen en la filosofía kantiana. La cibernética trata de emular la organización de los seres vivos y su teleología mediante la construcción de máquinas; desarrolla una perspectiva centrada en la regulación y en la causalidad mutua entre componentes del sistema. Estos trabajos, a veces complementados con la teoría de sistemas y la teoría de la información, son fundamentales para el desarrollo de la ciencia del siglo XX, especialmente las ciencias computacionales y la biología. Una segunda corriente surge desde la termodinámica de los procesos irreversibles alejados del equilibrio a partir, entre otros, de los trabajos de la escuela de Bruselas, en la que la AO se explora como la formación espontánea de estructuras de orden disipativo. Una tercera tradición, tal vez la más profundamente kantiana, se desarrolla en el contexto de la biología del desarrollo e integra a las dos mencionadas previamente, pues combina aspectos de las dos previas en el desarrollo ontogenético. Podemos decir que cada una de estas concepciones de la AO se relaciona con modelos paradigmáticos diferentes. La noción de autopoiesis (AP), por su parte, fue propuesta en los años 70 por los biólogos chilenos Humberto Maturana y Francisco Varela para explicar la organización individual de los seres vivos como un proceso dinámico que genera una identidad desde las operaciones del sistema (Maturana y Varela 1973). Puede decirse que hereda y reorganiza ideas de la tradición de la AO, especialmente la kantiana y la cibernética, para proponer una teoría biológica alternativa. El enfoque autopoiético concibe el fenómeno de la vida y a los seres vivos de forma muy diferente a la teoría de la evolución o la biología molecular que constituían las líneas de investigación predominantes en la biología de su tiempo. La teoría subraya como propiedad básica de un sistema viviente su autoconstitución dinámica como unidad dotada de identidad a partir de interacciones entre sus componentes. Sin embargo, aquellas propiedades de la vida consideradas primordiales en el enfoque darwiniano, como la reproducción o la evolución, se ven como secundarias, pues requieren de la existencia previa de sistemas autopoiéticos. El objetivo de esta voz es examinar diferentes aspectos que configuran las tradiciones autoorganizativa y autopoiética, en especial las tensiones conceptuales internas que permiten comprender los desafíos a los que se enfrentan ambas en el marco de la filosofía y la teoría de la biología, así como la forma en que sus posiciones e intuiciones contrastan con otras perspectivas en biología. (shrink)

Hans Jonas’ “philosophical biology,” although developed several decades ago, is still fundamental to the contemporary reflection upon the meaning of life in a systems thinking perspective. Jonas, in fact, closely examines the reasons of modern science, and especially of Wiener’s Cybernetics and Bertalanffy’s General System Theory, and at the same time points out their basic limits, such as their having a reductionistic attitude to knowledge and ontology. In particular, the philosopher highlights the problematic consequences of scientific reductionism for human nature. (...) As the final result of an overall process of naturalization, the essence of the human being is reduced to its quantitative features only, while the “meaning” of life as such becomes no different from the “fact” of its material consistency. However, the problem is that by such a process, the human being is deprived of his specificity. (shrink)

This paper argues that biological organisation can be legitimately conceived of as an intrinsically teleological causal regime. The core of the argument consists in establishing a connection between organisation and teleology through the concept of self-determination: biological organisation determines itself in the sense that the effects of its activity contribute to determine its own conditions of existence. We suggest that not any kind of circular regime realises self-determination, which should be specifically understood as self-constraint: in biological systems, in particular, self-constraint (...) takes the form of closure, i.e. a network of mutually dependent constitutive constraints. We then explore the occurrence of intrinsic teleology in the biological domain and beyond. On the one hand, the organisational account might possibly concede that supra-organismal biological systems could realise closure, and hence be teleological. On the other hand, the realisation of closure beyond the biological realm appears to be highly unlikely. In turn, the occurrence of simpler forms of self-determination remains a controversial issue, in particular with respect to the case of self-organising dissipative systems. (shrink)

There has been much criticism of the idea that Friston's free-energy principle can unite the life and mind sciences. Here, we argue that perhaps the greatest problem for the totalizing ambitions of its proponents is a failure to recognize the importance of evolutionary dynamics and to provide a convincing adaptive story relating free-energy minimization to organismal fitness.

This dissertation argues that cognition is a kind of natural agency. Natural agency is the capacity that certain systems have to act in accordance with their own norms. Natural agents are systems that bias their repertoires in response to affordances in the pursuit of their goals. Cognition is a special mode of this general phenomenon. Cognitive systems are agents that have the additional capacity to actively take their worlds to be certain ways, regardless of whether the world is really that (...) way. In this way, cognitive systems are desituated. Desituatedness is the root of specifically cognitive capacities for representation and abstraction. There are two main reasons why this view needs defending. First, natural agency is typically viewed as incompatible with natural science because it is committed to a teleological mode of explanation. Second, cognition is typically held to be categorically distinct from natural agency. This dissertation argues against both of these views. It argues against the incompatibility of agency and natural science by demonstrating that systems biology, general systems theory, and sciences that deal with complex systems have typically underappreciated conceptual and theoretical resources for grounding agency in the causal structure of the world. These conceptual resources do not, however, reduce agency to systems theory because the normativity inherent in agency demands descriptive resources beyond those of even the most sophisticated systems theory. It argues against the categorical difference between natural agency and cognition by pointing out that separating cognition from a richer web of situated, ecologically embedded relations between the agent and the world generates the frame problem, which is an insuperable obstacle to making cognition that is sufficiently responsive to the complexity of the world. Rooting cognition in natural agency is a more robust empirical bet for theorizing cognition and artificial intelligence. (shrink)

Digital Twins are conceptualised in the academic technical discourse as real-time realistic digital representations of physical entities. Originating from product engineering, the Digital Twin quickly advanced into other fields, including the life sciences and earth sciences. Digital Twins are seen by the tech sector as the new promising tool for efficiency and optimisation, while governmental agencies see it as a fruitful means for improving decision-making to meet sustainability goals. A striking example of the latter is the European Commission who wishes (...) to delegate a significant role to Digital Twins in addressing climate change and supporting Green Deal policy. As Digital Twins give rise to high expectations, ambitions, and are being entrusted important societal roles, it is crucial to critically reflect on the nature of Digital Twins. In this article, we therefore philosophically reflect on Digital Twins by critically analysing dominant conceptualisations, the assumptions underlying them, and their normative implications. We dissect the concept and argue that a Digital Twin does not merely fulfil the role of being a representation, but is in fact a steering technique used to direct a physical entity towards certain goals by means of multiple representations. Currently, this steering seems mainly fuelled by a reductionist approach focused on efficiency and optimisation. However, this is not the only direction from which a Digital Twin can be thought and, consequently, designed and deployed. We therefore set an agenda based on a critical understanding of Digital Twins that helps to draw out their beneficial potential, while addressing their potential issues. (shrink)

This paper discusses the epistemic status of biology from the standpoint of the systemic approach to living systems based on the notion of biological autonomy. This approach aims to provide an understanding of the distinctive character of biological systems and this paper analyses its theoretical and epistemological dimensions. The paper argues that, considered from this perspective, biological systems are examples of emergent phenomena, that the biological domain exhibits special features with respect to other domains, and that biology as a discipline (...) employs some core concepts, such as teleology, function, regulation among others, that are irreducible to those employed in physics and chemistry. It addresses the claim made by Jacques Monod that biology as a science is marginal. It argues that biology is general insofar as it constitutes a paradigmatic example of complexity science, both in terms of how it defines the theoretical object of study and of the epistemology and heuristics employed. As such, biology may provide lessons that can be applied more widely to develop an epistemology of complex systems. (shrink)

In the age of ubiquitous computing and artificially intelligent applications, social machines serves as a powerful framework for understanding and interpreting interactions in socio-algorithmic ecosystems. Although researchers have largely used it to analyze the interactions of individuals and algorithms, limited attempts have been made to investigate the politics in social machines. In this study, I claim that social machines are per se political machines, and introduce a five-point framework for classifying influence processes in socio-algorithmic ecosystems. By drawing from scholars from (...) political theory, I use a notion of influence that functions as a meta-concept for connecting and comparing different conceptions of politics. In this way, I can associate multiple political aspects of social machines from a cybernetic perspective. I show that the framework efficiently categorizes dimensions of influence that shape interactions between individuals and algorithms. These categories are symbolic influence, political conduct, algorithmic influence, design, and regulatory influence. Using case studies, I describe how they interact with each other on online social networks and in algorithmic decision-making systems and illustrate how the framework is able to guide scientists in further research. (shrink)

Unlike machines, living systems are distinguished by the continual destruction and regeneration of their boundaries and other components. Stable Markov blankets may be a real feature of the world, or they may be merely a construction of particular models, but they are neither a feature of organisms nor of any model that can capture the necessary conditions of their existence.

A crucial question for a process view of life is how to identify a process and how to follow it through time. The genidentity view can contribute decisively to this project. It says that the identity through time of an entity X is given by a well-identified series of continuous states of affairs. Genidentity helps address the problem of diachronic identity in the living world. This chapter describes the centrality of the concept of genidentity for David Hull and proposes an (...) extension of Hull’s view to the ubiquitous phenomenon of symbiosis. Finally, using immunology as a key example, it shows that the genidentity view suggests that the main interest of a process approach is epistemological rather than ontological and that its principal claim is one of priority, namely that processes precede and define things, and not vice versa. (shrink)