Earth system science (ESS) has identified worrying trends in the human impact on fundamental planetary systems. In this conceptual article, we discuss the implications of this research for business schools and management education (ME). We argue that ESS findings raise significant concerns about the relationship between business and nature and, consequently, a radical reframing is required to embed economic and social activity within the global sustainability of natural systems. This has transformative implications for ME. To illustrate this (...) reframing, we apply the ESS lenses of social-ecological interdependence, multiscalar relations, environmental governance, and environmental values to the ME functional domains of institutional purpose, social context and engagement, pedagogical practice, curricular design, and research focus. Our work contributes to the literature on business education for sustainability and the business-society-nature nexus. We explore and apply key ESS findings and concepts, discuss normative implications of these ideas, and offer guidance on transformational pathways for business schools and ME. (shrink)

The prelims comprise: Introduction Basic Concepts of Systems Science Dynamical Systems, Chaos, and Other Attractors Dynamical Systems and Time‐series Analysis Dynamical Systems in Nature and Society Dynamical, Information, and Computational Systems.

Open peer commentary on the article “Exploration of the Functional Properties of Interaction: Computer Models and Pointers for Theory” by Etienne B. Roesch, Matthew Spencer, Slawomir J. Nasuto, Thomas Tanay & J. Mark Bishop. Upshot: Why computer models of constructivist processes can enhance constructivist matters even though the models will always “seem incomplete.”.

In 2018-2019, at the Keck School of Medicine of the University of Southern California, we developed and piloted a narrative-based health systems science intervention for patients living with HIV and medical students in which medical students co-wrote patients’ life narratives for inclusion in the electronic health record. The pilot study aimed to assess the acceptability of the “life narrative protocol” from multiple stakeholder positions and characterize participants’ experiences of the clinical and pedagogical implications of the LNP. Students were (...) recruited from KSOM. Patients and staff were recruited from the Maternal, Child, and Adolescent/Adult Center for Infectious Disease and Virology at Los Angeles County+USC Medical Center. Ten patients, seventeen students, and ten MCA staff participated in the pilot study. Qualitative methods were used to gather data from students’, patients’, and staff’s perspectives. Three themes emerged from the thematic analysis: patients’ life narratives conveyed their unique life experiences and voices; the protocol could result in wide-ranging effects on HIV care; the LNP enabled students to contribute value to patients’ healthcare. Across groups, participants considered the LNP an acceptable intervention. The LNP, its limitations, and implications for HIV care, narrative medicine, and health information technology are presented. (shrink)

This is the first work to apply complex systems science to the psychological interplay of order and chaos. The author draws on thought from a wide range of disciplines-both conventional and unorthodox-to address such questions as the nature of consciousness, the relation between mind and reality, and the justification of belief systems. The material should provoke thought among systems scientists, theoretical psychologists, artificial intelligence researchers, and philosophers.

The Anthropocene is the signature concept of the new discipline of Earth System science (ESS). This essay argues that ESS is, first and foremost, a framework for interdisciplinary collaboration, and it considers the advantages and disadvantages to historians of adopting this framework. The authors conclude that the epistemological framework of ESS devalues the role of historical interpretation and evinces a self-defeating tendency toward Holocene nostalgia. A historically informed response to the present environmental crisis needs to attend to historical forces (...) that remain invisible to ESS, such as the technological agency of nondominant actors. (shrink)

Linguistic Modelling of Scenarios proposes a paradigm change from the 'systemic VIEW' to 'systems SCIENCE', so as to extend the methodology of conventional science of physics into the domains hitherto beyond the reach of this kind of treatment. The book: I. Identifies the problematic issues in current approaches to the 'systemic or structural view' of parts of the world as opposed to the 'quantitative/qualitative views' of conventional science of physics and the arts whereby introducing the 'third (...) culture'. II. Locates the position of the structural view in the context of 'human intellectual endeavour'. III. Discusses the fundamental questions raised by modelling aspects of human behaviour. IV. Introduces the basic ideas and the symbolism of linguistic modelling which are then applied to turning descriptions of scenarios as a story or narrative into reasoning schemes. V. Describes a methodology of 'problem solving' of which design thinking and the operation of purposive systems are seen as essential ingredients. Problem solving is a universal activity of living in particular human beings through innovation, invention and creativity. Lack of this activity leads to death! Problem solving is regarded as pivotal point which may propel the spread of the modified structural view into social, technical, cultural and educational awareness. VI. Shows the location of aspects of conventional science within the scheme of systems science whereby achieving a 'continuity of the scientific endeavour'. VII. Outlines a teaching scheme for 'linguistic modelling'. Janos Korn explains how a view can be converted into a science which can lead to a possibility of 'organised speculation' or simulation of behaviour, exploring the effects of variation of parameters on performance, and the occurrence of outcomes of operations, beneficial or not, of dynamic structures. Static and dynamic structures are expressed in more rigorous and computable terms so that the results of analysis and design of human activity scenarios could be exposed to at least thought experiments. Linguistic Modelling of Scenarios is an informative read for any professionals, teachers and students of engineering, social science, management, business and production. (shrink)

Volume 24, Issue 11, November 2024, Page 24-26.

Earth system science (ESS) and modelling have given rise to a new conceptual framework in the recent decades, which goes much beyond climate science. Indeed, Earth system science and modelling have the ambition “to build a unified understanding of the Earth”, involving not only the physical Earth system components (atmosphere, cryosphere, land, ocean, lithosphere) but also all the relevant human and social processes interacting with them. This unified understanding that ESS aims to achieve raises a number of (...) epistemological issues about interdisciplinarity. We argue that the interdisciplinary relations in ESS between natural and social / human sciences are best characterized in terms of what is called ‘scientific imperialism’ in the literature and we show that this imperialistic feature has some detrimental epistemic and non-epistemic effects, notably when addressing the issue of values in ESS. This paper considers in particular the core ESS concepts of Anthropocene, planetary boundaries and tipping points in the light of the philosophy of science discussions on interdisciplinarity and values. We show that acknowledging the interconnections between interdisciplinarity and values suggests ways for ESS to move forward in view of addressing the climate and environmental challenges. (shrink)

The 21st century is the time of complexity. We delineate it and its importance as necessary to solve ‘wicked problems.’ Inherently transdisciplinary, trans-scale, and interconnected to living systems, the solution to Heliophysics’ identity crisis and to unlock the next generation of scientific discovery may be to embrace complexity. With the right foresight, direction, and incentive over the next ten years, Heliophysics can become a beacon for how all of society thinks about and does complexity science.

This article traces my attempts to come to grips with the problem of change. Systems science deals with general principles, but, as with science in general, is wedded to mechanistic models. Natural systems are not machines, are generative, and can change unpredictably. An example is given showing that explicit dynamical models are subverted by the present moment, which is non-existent in them. This moment can be modeled by a compositional hierarchy, but no change happens therein. Subsumptive (...) hierarchies can serve as metaperspectives on change, modeling stages of development. The Second Law of thermodynamics provides the motivation for development, which can be modeled generally using thermodynamic and information theoretic (infodynamic) concepts. Development is progressive change, constitutive of different systems, and goes from vagueness toward increasingly more definite embodiment, ending up in senescence, which derives from information overload. While becoming increasingly burdened with information, the present moment, as such, still evades this developmental systematicity. Internalist thinking has emerged as an attempt to further come to grips with it. (shrink)

Cet article se propose de décrire le projet épistémique des sciences des systèmes complexes. Domaine interdisciplinaire fondé par le Santa Fe Institute en 1984 aux États-Unis, il a été décrit par ses représentants comme un champ d’étude interdisciplinaire, post-laplacien, holiste et antiréductionniste. Des journalistes populaires et des sociologues intéressés et qui ont soutenu ce domaine en ont repris les discours, en annonçant l’avènement d’un nouveau paradigme révolutionnaire pour tous les savoirs. Dans ce texte, on montrera que le projet épistémique des (...) sciences de la complexité est moins pluraliste, antipositiviste et antiréductionniste que ce que l’on en dit. Je tâcherai de montrer en quoi le cadre épistémologique et ontologique de ce champ d’études reste analytique et réductionniste dans un sens physicaliste, computationnaliste, mathématique et biologisant. (shrink)

Recent work by Renaud Barbaras on the definition of life has shown the fecundity of a phenomenological approach that sees absence as having a positive status. This phenomenon allows Barbaras to identify life with “desire,” the indefinite exploration of the exterior world. It also allows Barbaras to defeat competing definitions of life in the sciences, particularly biology. In this paper, I propose a mutual complementarity between the work of Barbaras and that in contemporary systems science, namely by Stuart (...) Kauffman, suggesting that scientific concepts of subcriticality may allow for more overlap between phenomenological and scientific definitions of life than Barbaras acknowledges. (shrink)

This text addresses the problems of complex systems in understanding natural phenomena and the behaviour of systems related to human activity, from a science and humanities perspective. It discusses molecular behaviour and structures, and offers examples of ecological and environmental modelling.

Hermann's Weyl Das Kontinuum has inspired several studies in logic and foundations of mathematics over the last century. The book provides a remarkable reconstruction of a large portion of classical mathematics on a predicative basis. However, diverging interpretations of the predicative system formulated by Weyl have been proposed in the literature. In the present work, I analyze an early formalization of Weyl's ideas proposed by [Casari, E. 1964. Questioni di Filosofia Della Matematica, Milano: Feltrinelli] and compare it with other, more (...) well-known, accounts, such as those proposed respectively by Feferman and Avron. In this way, I fill a gap in the literature on Weyl's predicative mathematics by shedding light on an interpretation that has never been studied. Moreover, Casari's work is plausibly the first systematic reconstruction of Weyl's system. In particular, I highlight the different insights about predicativity that can be found in Weyl's work. Casari's reconstruction focuses on the logical and mathematical processes described by Weyl in the first part of his book. Through the analysis of this unexplored perspective, I shed light on fundamental aspects of Weyl's work and elucidate the alleged ambiguities it presents. In particular, in line with Avron's most recent reconstruction of Weyl's ideas, this analysis supports a stronger conception of predicativity than what is commonly attributed to Weyl in the literature. As a result, this work not only provides an analysis of a neglected interpretation of Das Kontinuum, but also contributes to elucidating Weyl's classical conception of predicativity. (shrink)

In this article, network science is discussed from a methodological perspective, and two central theses are defended. The first is that network science exploits the very properties that make a system complex. Rather than using idealization techniques to strip those properties away, as is standard practice in other areas of science, network science brings them to the fore, and uses them to furnish new forms of explanation. The second thesis is that network representations are particularly helpful (...) in explaining the properties of non-decomposable systems. Where part-whole decomposition is not possible, network science provides a much-needed alternative method of compressing information about the behavior of complex systems, and does so without succumbing to problems associated with combinatorial explosion. The article concludes with a comparison between the uses of network representation analyzed in the main discussion, and an entirely distinct use of network representation that has recently been discussed in connection with mechanistic modeling. (shrink)

This paper addresses the gap between familiar popular narratives describing Artificial Intelligence (AI), such as the trope of the killer robot, and the realistic near-future implications of machine intelligence and automation for technology policy and society. The authors conducted a series of interviews with technologists, science fiction writers, and other experts, as well as a workshop, to identify a set of key themes relevant to the near future of AI. In parallel, they led the analysis of almost 100 recent (...) works of science fiction stories with AI themes to develop a preliminary taxonomy of AI in science fiction. These activities informed the commissioning of six original works of science fiction and non-fiction response essays on the themes of “intelligence” and “justice” that were published as part of the Slate Future Tense Fiction series in 2019 and 2020. Our findings indicate that artificial intelligence remains deeply ambiguous both in the policy and cultural contexts: we struggle to define the boundaries and the agency of machine intelligence, and consequently find it difficult to govern or interact with such systems. However, our findings also suggest more productive avenues of inquiry and framing that could foster both better policy and better narratives around AI. (shrink)

This essay presents the conditional probability of co-contribution account of the individuation of cognitive systems (CPC) and argues that CPC provides an attractive basis for a theory of the cognitive self. The argument proceeds in a largely indirect way, by emphasizing empirical challenges faced by an approach that relies entirely on predictive processing (PP) mechanisms to ground a theory of the cognitive self. Given the challenges faced by PP-based approaches, we should prefer a theory of the cognitive self of (...) the sort CPC offers, one that accommodates variety in the kinds of mechanism that, when integrated, constitute a cognitive system (and thus the cognitive self), to a theory according to which the cognitive self is composed of essentially one kind of thing, for instance, prediction-error minimization mechanisms. The final section focuses on one of the central functions of the cognitive self: to engage in conscious reasoning. It is argued that the phenomenon of conscious, deliberate reasoning poses an apparently insoluble problem for a PP-based view, one that seems to rest on a structural limitation of predictive-processing models. In a nutshell, conscious reasoning is a single-stream phenomenon, but, in order for PP to apply, two streams of activity must be involved, a prediction stream and an input stream. Thus, with regard to the question of the nature of the self, PP-based views must yield to an alternative approach, regardless of whether proponents of the predictive processing, as a comprehensive theory of cognition, can handle the various empirical challenges canvassed in the preceding section. (shrink)

Formalised knowledge systems, including universities and research institutes, are important for contemporary societies. They are, however, also arguably failing humanity when their impact is measured against the level of progress being made in stimulating the societal changes needed to address challenges like climate change. In this research we used a novel futures-oriented and participatory approach that asked what future envisioned knowledge systems might need to look like and how we might get there. Findings suggest that envisioned future (...) class='Hi'>systems will need to be much more collaborative, open, diverse, egalitarian, and able to work with values and systemic issues. They will also need to go beyond producing knowledge about our world to generating wisdom about how to act within it. To get to envisioned systems we will need to rapidly scale methodological innovations, connect innovators, and creatively accelerate learning about working with intractable challenges. We will also need to create new funding schemes, a global knowledge commons, and challenge deeply held assumptions. To genuinely be a creative force in supporting longevity of human and non-human life on our planet, the shift in knowledge systems will probably need to be at the scale of the enlightenment and speed of the scientific and technological revolution accompanying the second World War. This will require bold and strategic action from governments, scientists, civic society and sustained transformational intent. (shrink)

All too often, we think of our minds and bodies separately. The reality couldn’t be more different: the fundamental fact about our mind is that it is embodied. We have a deep visceral, emotional, and qualitative relationship to the world—and any scientifically and philosophically satisfactory view of the mind must take into account the ways that cognition, meaning, language, action, and values are grounded in and shaped by that embodiment. This book gathers the best of philosopher Mark Johnson’s essays addressing (...) questions of our embodiment as they deal with aesthetics—which, he argues, we need to rethink so that it takes into account the central role of body-based meaning. Viewed that way, the arts can give us profound insights into the processes of meaning making that underlie our conceptual systems and cultural practices. Johnson shows how our embodiment shapes our philosophy, science, morality, and art; what emerges is a view of humans as aesthetic, meaning-making creatures who draw on their deepest physical processes to make sense of the world around them. (shrink)

The fundamental, irreplaceable exposition of general semantics. In this work Korzybski developed important lines of formulating neglected by subsequent authors. A must-have for the student of general semantics interested in the original formulations of Alfred Korzybski. The sixth edition of Science and Sanity: An Introduction to Non-Aristotelian Systems and General Semantics includes a new preface by Lance Strate, President of the Institute of General Semantics.

Humean reductionism about laws of nature appears to leave a central aspect of scientific practice unmotivated: If the world’s fundamental structure is exhausted by the actual distribution of non-modal properties and the laws of nature are merely efficient summaries of this distribution, then why does science posit laws that cover a wide range of non-actual circumstances? In this paper, we develop a new version of the Humean best systems account of laws based on the idea that laws need (...) to organize information in a way that maximizes their cognitive usefulness for creature like us. We argue that this account motivates scientific practice because the laws’ applicability to non-actual circumstances falls right out of their cognitive usefulness. (shrink)

This chapter describes the application of reduction concepts in emergence and self organization of complex dynamical system. Condition-dependent laws compress and dynamical equation sets provide implicit compressed representations even when most of that information is not explicitly available without decompression. And, paradoxically, there is still the determined march of fundamental analytical dynamics expanding its compression reach toward a Theory of Everything—even while the more rapidly expanding domain of complex systems dynamics confronts its assumptions and its monolithicity. Nor does (...) class='Hi'>science fall apart into a disunified aggregate of particular cases since, with fundamental dynamics as a backbone, complex matching up of models across theoretical and empirical domains then articulates its model-structured skeleton. Discussion provides the delicately entwined dance of emergence and reduction providing constraints on compression that also permit its expansion. However, while the vision is not dead, it is currently substantially more complexly structured through model similarities and differences than that initially envisaged and individuals are left with deep questions about compression unresolved. (shrink)

How does science work? _Making Truth: Metaphor in Science_ argues that most laypeople, and many scientists, do not have a clear understanding of how metaphor relates to scientific thinking. With stunning clarity, and bridging the worlds of scientists and nonscientists, Theodore L. Brown demonstrates the presence and the power of metaphorical thought. He presents a series of studies of scientific systems, ranging from the atom to current topics in chemistry and biology such as protein folding, chaperone proteins, and (...) global warming. These case studies provide the basis for far-reaching conclusions about science as an intellectual and social practice and about the nature of scientific truth. (shrink)

The underdetermination of theory by evidence must be distinguished from holism. The latter is a doctrine about the testing of scientific hypotheses; the former is a thesis about empirically adequate logically incompatible global theories or "systems of the world". The distinction is crucial for an adequate assessment of the underdetermination thesis. The paper shows how some treatments of underdetermination are vitiated by failure to observe this distinction, and identifies some necessary conditions for the existence of multiple empirically equivalent global (...) theories. We consider how empiricists should respond to the possibility of such systems of the world. (shrink)

The concept of similar systems arose in physics, and appears to have originated with Newton in the seventeenth century. This chapter provides a critical history of the concept of physically similar systems, the twentieth century concept into which it developed. The concept was used in the nineteenth century in various fields of engineering, theoretical physics and theoretical and experimental hydrodynamics. In 1914, it was articulated in terms of ideas developed in the eighteenth century and used in nineteenth century (...) mathematics and mechanics: equations, functions and dimensional analysis. The terminology physically similar systems was proposed for this new characterization of similar systems by the physicist Edgar Buckingham. Related work by Vaschy, Bertrand, and Riabouchinsky had appeared by then. The concept is very powerful in studying physical phenomena both theoretically and experimentally. As it is not currently part of the core curricula of STEM disciplines or philosophy of science, it is not as well known as it ought to be. (shrink)

Excerpt from Kants Naturphilosophie als Grundlage Seines Systems Die vorliegende Arbeit uber die kantische Naturphilosophie war ursprunglich in Aussicht genommen als erstes Kapitel einer Darstellung der deutschen Naturphilosophie seit Kam. Der Grund, warum sie zu einem selbstandigen Werke angeschwollen ist, liegt darin, weil ich bei genauerem Studium des Philosophen fand, man habe das naturphilosophische Element in den Schriften Kants bisher bei weitem unterschatzt und insbesondere seinen Bemuhungen um eine dynamische Theorie der Materie lange nicht diejenige Bedeutung zugeschrieben, die ihnen (...) sowohl in Hinsicht auf die Richtung, welche die kantische Gedankenentwickelung genommen hat, wie fur die eigentumliche Ausbildung dieser Gedanken im Einzelnen thatsachlich beizumessen ist. Man hat den Philosophen nach seiner theoretischen Seite fast lediglich als den Begrunder der modernen Erkenntnistheorie gewurdigt und dabei ubersehen, wie seine ganze Erkenntnistheorie aus naturphilosophischen Erwagungen hervorgegangen und oft in den wichtigsten Punkten von ihnen bestimmt worden ist. Die vorliegende Arbeit schopft nun bei der Hochflut der philosophischen Litteratur, die sich mit Kant beschaftigt, ihre Daseinsberechtigung vor allem daraus, dafs sie die gesamte theoretische Philosophie Kants unter dem Gesichtspunkte der Naturphilosophie betrachtet. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.". (shrink)

Wilfried Sieg. Formal Systems, Church Turing Thesis, and Gödel's Theorems: Three Contributions to The MIT Encyclopedias of Cognitive Science.

We investigated the understanding of causal systems categories—categories defined by common causal structure rather than by common domain content—among college students. We asked students who were either novices or experts in the physical sciences to sort descriptions of real-world phenomena that varied in their causal structure (e.g., negative feedback vs. causal chain) and in their content domain (e.g., economics vs. biology). Our hypothesis was that there would be a shift from domain-based sorting to causal sorting with increasing expertise in (...) the relevant domains. This prediction was borne out: The novice groups sorted primarily by domain and the expert group sorted by causal category. These results suggest that science training facilitates insight about causal structures. (shrink)

Lots of things are usefully modelled in science as dynamical systems: growing populations, flocking birds, engineering apparatus, cognitive agents, distant galaxies, Turing machines, neural networks. We argue that relevant logic is ideal for reasoning about dynamical systems, including interactions with the system through perturbations. Thus, dynamical systems provide a new applied interpretation of the abstract Routley-Meyer semantics for relevant logic: the worlds in the model are the states of the system, while the (in)famous ternary relation is (...) a combination of perturbation and evolution in the system. Conversely, the logic of the relevant conditional provides sound and complete laws of dynamical systems. (shrink)

Modern epistomology has been dominated by an empiricist theory of knowledge that assumes a direct individualistic relationship between the knowing subject and the object of knowledge. Truth is held to be universal, and non-individualistic social and cultural factors are considered sources of distortion of true knowledge. Since the late 1950s, this view has been challenged by a cognitive relativism asserting that what is true is socially conditioned. This volume examines the far-reaching implications of this development for the social sciences. Recently, (...) cognitive relativism has become a key issue of debate in anthropology, philosophy, and sociology. In anthropology this is illustrated by a growing awareness of the similarity of all systems of knowledge. In philosophy it is exemplified by the realization that traditional monolithic and absolutist concepts of truth have increasingly lost any power to make sense and to convince. In sociology it is visible in a renewal of interest in a general sociology of knowledge. Yet, in spite of this convergence of interests, practitioners of these three disciplines have on the whole shown no inclination to reach a consensus on the terms of reference that could facilitate an interdisciplinary approach. "Cognitive Relativism and Social Science "aims to do just this. It is a working assumption of this volume that, as far as the subject of cognitive relativism is concerned, anthropologists, philosophers, and sociologists should join forces rather than try to deal with the challenges of cognitive relativism within strictly imposed boundaries that normally separate academic disciplines. Only when they work together will it be possible to treat the problems posed by cognitive relativism in an adequate way. This volume provides the results of attempts to communicate on cognitve relativism across disciplinary boundaries. This is must reading in the philosophy of social science and in social research theory. (shrink)

In this review, I discuss recent advances in philosophical and psychological approaches to self-control. The review is divided in 4 parts, in which I discuss: a) different conceptions of self-control; b) standard methods for studying it; c) some models of how self-control is exercised; and d) the connections between self-control and other relevant psychological constructs. The review was originally commissioned by the John Templeton Foundation to provide an informative overview that would knit together different strands of current debates in the (...) field. It is meant to be useful to well-informed audiences, as well as new-comers to the discussion. (shrink)

AI systems are bringing an augmentation of human capabilities to shape the world. They may also drag a replacement of human conscience in large chunks of life. AI systems can be designed to leave moral control in human hands, to obstruct or diminish that moral control, or even to prevent it, replacing human morality with pre-packaged or developed ‘solutions’ by the ‘intelligent’ machine itself. Artificial Intelligent systems (AIS) are increasingly being used in multiple applications and receiving more (...) attention from the public and private organisations. The purpose of this article is to offer a mapping of the technological architectures that support AIS, under the specific focus of the moral agency. Through a literature research and reflection process, the following areas are covered: a brief introduction and review of the literature on the topic of moral agency; an analysis using the BDI logic model (Bratman 1987); an elemental review of artificial ‘reasoning’ architectures in AIS; the influence of the data input and the data quality; AI systems’ positioning in decision support and decision making scenarios; and finally, some conclusions are offered about regarding the potential loss of moral control by humans due to AIS. This article contributes to the field of Ethics and Artificial Intelligence by providing a discussion for developers and researchers to understand how and under what circumstances the ‘human subject’ may, totally or partially, lose moral control and ownership over AI technologies. The topic is relevant because AIS often are not single machines but complex networks of machines that feed information and decisions into each other and to human operators. The detailed traceability of input-process-output at each node of the network is essential for it to remain within the field of moral agency. Moral agency is then at the basis of our system of legal responsibility, and social approval is unlikely to be obtained for entrusting important functions to complex systems under which no moral agency can be identified. (shrink)

Cognitive science is, more than anything else, a pursuit of cognitive mechanisms. To make headway towards a mechanistic account of any particular cognitive phenomenon, a researcher must choose among the many architectures available to guide and constrain the account. It is thus fitting that this volume on contemporary debates in cognitive science includes two issues of architecture, each articulated in the 1980s but still unresolved: " • Just how modular is the mind? – a debate initially pitting encapsulated (...) mechanisms against highly interactive ones. • Does the mind process language-like representations according to formal rules? – a debate initially pitting symbolic architectures against less language-like architectures. " Our project here is to consider the second issue within the broader context of where cognitive science has been and where it is headed. The notion that cognition in general—not just language processing—involves rules operating on language-like representations actually predates cognitive science. In traditional philosophy of mind, mental life is construed as involving propositional attitudes—that is, such attitudes towards propositions as believing, fearing, and desiring that they be true—and logical inferences from them. On this view, if a person desires that a proposition be true and believes that if she performs a certain action it will become true, she will make the inference and perform the action. (shrink)

Over the past few decades, significant advances have been made in public engagement with, and the democratization of, science and technology. Despite notable successes, such developments have often struggled to enhance public trust, avert crises of expertise and democracy, and build more socially responsive and responsible science and innovation. A central reason for this is that mainstream approaches to public engagement harbor what we call “residual realist” assumptions about participation and publics. Recent coproductionist accounts in science and (...) technology studies offer an alternative way of seeing participation as coproduced, relational, diverse, and emergent but have been somewhat reluctant to articulate what this means in practice. In this paper, we make this move by setting out a new framework of interrelating paths and associated criteria for remaking public participation with science and democracy in more experimental, reflexive, anticipatory, and responsible ways. This framework comprises four paths to: forge reflexive participatory practices that attend to their framings, emergence, uncertainties, and effects; ecologize participation through attending to the interrelations between diverse public engagements in wider systems; catalyze practices of anticipatory reflection to bring about responsible democratic innovations; and reconstitute participation as constitutive of systems of technoscience and democracy. (shrink)

Artificial intelligence (AI) and machine learning (ML) systems increasingly purport to deliver knowledge about people and the world. Unfortunately, they also seem to frequently present results that repeat or magnify biased treatment of racial and other vulnerable minorities. This paper proposes that at least some of the problems with AI’s treatment of minorities can be captured by the concept of epistemic injustice. To substantiate this claim, I argue that (1) pretrial detention and physiognomic AI systems commit testimonial injustice (...) because their target variables reflect inaccurate and unjust proxies for what they claim to measure; (2) classification systems, such as facial recognition, commit hermeneutic injustice because their classification taxonomies, almost no matter how they are derived, reflect and perpetuate racial and other stereotypes; and (3) epistemic injustice better explains what is going wrong in these types of situations than does the more common focus on procedural (un)fairness. (shrink)

The complex systems approach (CSA) to characterizing cognitive function is purported to underlie a conceptual and methodological revolution by its proponents. I examine one central claim from each of the contributed papers and argue that the provided examples do not justify calls for radical change in how we do cognitive science. Instead, I note how currently available approaches in ‘‘standard’’ cognitive science are adequate (or even more appropriate) for understanding the CSA provided examples.

Recommender Systems (RecSys) have been around since the early days of the Internet, helping users navigate the vast ocean of information and the increasingly available options that have been available for us ever since. The range of tasks for which one could use a RecSys is expanding as the technical capabilities grow, with the disruption of Machine Learning representing a tipping point in this domain, as in many others. However, the increase of the technical capabilities of AI-powered RecSys did (...) not come with a thorough consideration of their ethical implications and, despite being a well-established technical domain, the potential impacts of RecSys on their users are still under-assessed. This paper aims at filling this gap in regards to one of the main impacts of RecSys: personal autonomy. We first describe how technology can affect human values and a suitable methodology to identify these effects and mitigate potential harms: Value Sensitive Design (VSD). We use VSD to carry out a conceptual investigation of personal autonomy in the context of a generic RecSys and draw on a nuanced account of procedural autonomy to focus on two components: competence and authenticity. We provide the results of our inquiry as a value hierarchy and apply it to the design of a speculative RecSys as an example. (shrink)