ABSTRACT In this paper we explore how a public national media outlet, the British BBC, represents an international legal case which has a highly political nature. The case is US versus Huawei/meng Wanzhou, which took place between 2018 and 2021. Accusations were that the Chinese technology company committed fraud, leading the global HSBC bank to breach US sanctions against Iran. The charges were made by the US using what is called an ‘extraterritorial law’, which, while rejected as law by (...) governments around the world, is policed by US economic powers and control over international finance. Using Critical Discourse Analysis we show that, while the BBC presents much detail of legal process, the actual nature of the law the US uses to bring criminal charges against international companies and banks, is neither considered nor questioned. Our interest is how such a law, which has a huge influence over global trade and politics, is presented to the public in this particular case. We contribute to the position that the nature of laws, how they are used and known, must always be understood within the prevailing discourses of the moment. (shrink)

ABSTRACT The law, in its majestic equality, forbids the rich as well as the poor to sleep under bridges, to beg in the streets, and to steal bread. (Jacques Anatole François Thibault).

It has become common to find diagrams and flow-charts used in our organizations to illustrate the nature of processes, what is involved and how it happens, or to show how parts of the organization interrelate to each other and work together. Such diagrams are used as they are thought to help visualization and simplify things in order to represent the essence of a particular situation, the core features. In this paper, using a social semiotic approach, we show that we need (...) to develop a much more critical sense of how these diagrams and flowcharts can easily abstract, conceal and substitute actual causalities, work roles and relationships. We demonstrate this using the example of a series of interrelated flows-charts used to implement a new system of target-based learning in preschool/kindergartens in Sweden – a system which works highly in favor of a rapidly privatizing education sector. Here, the flow charts shape how school processes and learning are presented to devalue the former system and value the new. (shrink)

What can philosophy bring to the reading of Beckett? Combining intertextual analysis with a ‘schizoanalytic genealogy’ derived from the authors of L’Anti-Œdipe, Garin Dowd’sMachines: Samuel Beckett and Philosophy after Deleuze and Guattari offers an innovative response to this much debated question. The author focuses on zones of encounter and thresholds of engagement between Beckett’s writing and a range of philosophers and philosophical concepts. Beckett’s writing impacts in a variety of ways on Deleuze and Guattari’s thought, and, in particular, resonates with (...) Deleuze’s contributions to the history of philosophy, and his ‘critical and clinical’ approach to literature. Furthermore, the books co-written with Guattari, concerned as they are with the ‘molecularization’ of the discipline of philosophy in the name of ‘thinking otherwise’, reveal themselves in a new light when explored in conjunction with Beckett’s œuvre. With its arresting perspectives on a wide range of Beckett’s works, Abstract Machines will appeal to academics and postgraduate students interested in the philosophical aspects of his writing. Its engagement with alternative contributions to the question of Beckett and philosophy, including that of Alain Badiou, renders it a timely and provocative intervention in contemporary debates on the relationship between literature and philosophy, both within the field of Beckett studies and beyond. (shrink)

First Published in 2005. Routledge is an imprint of Taylor & Francis, an informa company.

Felix Guattari was a modernist. He not only liked a lot of modernist artists, but his ‘aesthetic paradigm’ found its generative diagram in modern art. The most important aspect of this diagram was its insistence on the production of the new, the way it produced a utopian projection of a ‘people to come’, and so a politics whose only horizon was the future. Also important for Guattari's diagram of the ‘modern’ were the forces of abstraction, autonomy and immanent critique. Together (...) these elements construct an artwork that is radically singular and separate, composed of a-signifying, a-temporal and invisible forces, sensations that go beyond our human conditions of possibility. In this Guattari's modernism must be understood as being quite different from his co-option by contemporary art theorists influenced by post-Operaist thought. Post-Operaism understands politics as ‘being-against’, a dialectical form of negation that finds its political condition of possibility in what already exists. Because such thought sees modern art as being entirely subsumed by the institutions and markets that contain it, art itself must be negated in order for aesthetic powers to become political. This has lead post-Operaist thought to align itself strongly with the avant-garde positions of institutional-critique and art-into-life, or ‘non-art’. Guattari's modernism takes him in a very different direction, affirming modern art despite its institutional enframing, because art is forever in the process of escaping itself. This makes modern art the model in Guattari's thought for politics itself. (shrink)

This study aims to grasp the two distinct artworks one is from the literary field: Penal Colony, written by F. Kafka and the other one is from painting: The Large Glass, designed by M. Duchamp. This text tries to unravel the similarities betwe- en these artworks in terms of two main significations around “The Officer” from Penal Colony and “The Bachelors” from The Large Glass. Because of their vital role on the re-production of status-quo, this text asserts that there is (...) a similarity between them in the name of being part of the dispositions of body and desire. First of all, the text focuses on Penal Colony, especially on “The Officer” in or- der to observe his obsession towards the order that ruled by former and the late officer of colony. Deleuze & Guattari conceptualize it as “abstract-machines” and it refers to a contingent state of being which is produced as an obligatory entity. Besides, The Officers’ application via a “labeling machine” on inmates creates a framewok of a dispositif in Foucauldian terminology. Secondly, it is emphasized that The Bachelors from the Large Glass for his context, due to its reference for the concept of desire and a metaphorical connotation for desire as “cocoa”. The Large Glass is also turn around the dispositif in a different way: love. It is stated that criticizing the love to nowhere which belongs to The Bachelors and it can be found that there is an abstract-machine again in back of this practice and it converts The Bachelors’ energeia to make an apparatus possible and operative. (shrink)

This is a version of a paper delivered at the Beckett centenary conference held at University College Cork, May 26-27, 2006. It was subsequently published under the title ‘Stellar Separation orMachine? Badiou and Deleuze and Guattari on Beckett’ in Beckett Re-Membered: After the Centenary, edited by James Carney,Mi chael O’Sullivan, Leonard Madden and Karl White, pp. 92-107, ISBN 1443835005. This is a pre-publication version of the paper as it appeared in the latter publication. OPENING PARAGRAPH: In the most important study (...) to date of the respective use of Beckett’s writings in the work of Deleuze and Badiou, Jean-Jacques Lecercle concludes by surmising that “Perhaps the close proximity, in the French edition, of Deleuze’s essay, ‘The Exhausted’, to Beckett’s own text, is indeed more than a fortunate coincidence: perhaps it is a symptom”.1 For, Lecercle, despite his long-term support for Deleuze and indeed despite his misgivings concerning Badiou’s characteristically strong reading of Beckett, decides that there may be, after all, something more compelling in the Badiou than in the less consistent Deleuze. This may also be, he suggests, attributable to Deleuze’s own modernism as a writer, which, though it gives him greater access to, and understanding of, the materiality of Beckett’s writing, also in the final analysis, renders his reading of Beckett somewhat orthodox. By contrast, the defiantly declarative and unhesitatingly dogmatic reading advanced by Badiou, is able to disclose strikingly original insights, not least because of the co-implication and reversibility of the readings of Badiou-Beckett and Beckett-Badiou. This essay seeks to examine the symptomatology of one text in particular as it operates and produces or is indicative of symptoms in the work of Badiou and Deleuze respectively. (shrink)

In this paper, we try to establish that some mathematical theories, like K-theory, homology, cohomology, homotopy theories, spectral sequences, modern Galois theory (in its various applications), representation theory and character theory, etc., should be thought of as (abstract) machines in the same way that there are (concrete) machines in the natural sciences. If this is correct, then many epistemological and ontological issues in the philosophy of mathematics are seen in a different light. We concentrate on one problem (...) which immediately follows the recognition of the particular status of these theories: the demarcation problem between ‘natural kinds’ and ‘artefacts’. (shrink)

Probabilistic argumentation and neuro-argumentative systems offer new computational perspectives for the theory and applications of argumentation, but their principled construction involves two entangled problems. On the one hand, probabilistic argumentation aims at combining the quantitative uncertainty addressed by probability theory with the qualitative uncertainty of argumentation, but probabilistic dependences amongst arguments as well as learning are usually neglected. On the other hand, neuro-argumentative systems offer the opportunity to couple the computational advantages of learning and massive parallel computation from neural networks (...) with argumentative reasoning and explanatory abilities, but the relation of probabilistic argumentation frameworks with these systems has been ignored so far. Towards the construction of neuro-argumentative systems based on probabilistic argumentation, we associate a model of abstract argumentation and the graphical model of Boltzmann machines in order to (i... (shrink)

In this paper we interpret a characterization of the Gödel speed-up phenomenon as providing support for the ‘Nagel-Newman thesis’ that human theorem recognizers differ from mechanical theorem recognizers in that the former do not seem to be limited by Gödel's incompleteness theorems whereas the latter do seem to be thus limited. However, we also maintain that (currently non-existent) programs which are open systems in that they continuously interact with, and are thus inseparable from, their environment, are not covered by the (...) above (or probably any other recursion-theoretic) argument. (shrink)

Abstract State Machines (ASMs) provide a formal method for transparent design and specification of complex dynamic systems. They combine advantages of informal and formal methods. Applications of this method motivate a number of computability and decidability problems connected to ASMs. Such problems result for example from the area of verifying properties of ASMs. Their high expressive power leads rather directly to undecidability respectively uncomputability results for most interesting problems in the case of unrestricted ASMs. Consequently, it is rather (...) natural to ask whether there exist expressive classes of ASMs for which we can prove positive decidability and computability results. In this work, we introduce such a class of ASMs. The concept is similar to the one of the guarded fragment of first-order logic. We analyze the expressive power of this class and prove that it is stronger than Datalog LITE and the guarded fragment of first-order fixed point logic. Some decidability and computability results have been proven in earlier works. (shrink)

In this paper we interpret a characterization of the Gödel speed-up phenomenon as providing support for the ‘Nagel-Newman thesis’ that human theorem recognizers differ from mechanical theorem recognizers in that the former do not seem to be limited by Gödel's incompleteness theorems whereas the latter do seem to be thus limited.However, we also maintain that (currently non-existent) programs which are open systems in that they continuously interact with, and are thus inseparable from, their environment, are not covered by the above (...) (or probably any other recursion-theoretic) argument. (shrink)

We capture the principal models of computation and specification in the literature by a uniform set of transparent mathematical descriptions which—starting from scratch—provide the conceptual basis for a comparative study.1.

In this paper, we address the question of what current computers are from the point of view of human-computer interaction. In the early days of computing, the Turing machine (TM) has been the cornerstone of the understanding of computers. The TM defines what can be computed and how computation can be carried out. However, in the last decades, computers have evolved and increasingly become interactive systems, reacting in real-time to external events in an ongoing loop. We argue that the TM (...) does not provide a mechanistic explanation for interactive computing. The reason is that the fundamental phenomena relevant to interactive computing are out of the scope of classical computability theory. Part of the explanatory power of the TM relies on what we propose to call an execution model. An execution model belongs to a level of abstraction where it is possible to describe both the functional architecture and the execution in mechanistic terms. An updated execution model is warranted to provide the minimal mechanistic description for interactive computation as a counterpart of what the TM could explain regarding Church-Turing computation. It would support an explanation of the ubiquitous computing devices we know - those interacting with humans, e.g., through digital interfaces. We show that such a model is not available within interactive models of computation and that relevant abstractions and concerns are available in computer engineering but need to be identified and gathered. To fill this void, we propose to reflect on the level of abstraction required to support the mechanistic description of an interactive execution and propose some preliminary requirements. (shrink)

Objections to the computational theory of cognition, inspired by twentieth century phenomenology, have tended to fixate on the embodiment and embeddedness of intelligence. In this paper I reconstruct a line of argument that focusses primarily on the abstract nature of scientific models, of which computational models of the brain are one sort. I observe that the critique of scientific abstraction was rather commonplace in the philosophy of the 1920s and 30s and that attention to it aids the reading of (...) The Organism ([1934] 1939) by the neurologist Kurt Goldstein. With this background in place, we see that some brief but spirited criticisms of cybernetics by two later thinkers much influenced by Goldstein, Georges Canguilhem (1963) and Maurice Merleau-Ponty (1961), show continuity with the earlier discussions of abstraction in science. (shrink)

The paper describes a decidable class of verification problems expressed in first order timed logic. To specify programs we useState Machines. It is known that Abstract State Machines and first order timed logic are two very powerful formalisms apt to represent verification problems for timed distributed systems. However, the general verification problem represented in this way is undecidable. Prior, some decidable classes of verification problems were described in semantical properties that are in their turn undecidable. The decidable (...) class of the present paper is described in syntactical terms. Though it admits no functions, only predicates, it is of practical interest and we give an example illustrating possible applications. (shrink)

In their recent paper “Do Accelerating Turing Machines Compute the Uncomputable?” Copeland and Shagrir draw a distinction between a purist conception of Turing machines, according to which these machines are purely abstract, and Turing machine realism according to which Turing machines are spatio-temporal and causal “notional" machines. In the present response to that paper we concede the realistic aspects of Turing’s own presentation of his machines, pointed out by Copeland and Shagrir, but argue (...) that Turing's treatment of symbols in the course of that presentation opens the door for later purist conceptions. Also, we argue that a purist conception of Turing machines plays an important role not only in the analysis of the computational properties of Turing machines, but also in the philosophical debates over the nature of their realization. (shrink)

Here is examined the work done in many laboratories on the proposition that the mechanisms underlying consciousness in living organisms can be studied using computational theories. This follows an agreement at a 2001 multi‐disciplinary meeting of philosophers, neuroscientists and computer scientists that such a research programme was feasible and worthwhile. Here this effort is reviewed both as a historical statement and for the positions held at the time of going to print of this volume. The approaches cover diverse techniques ranging (...) from the machine modeling of neural structures in the brain to abstract models based on the type of logic found in computer programming. Purely theoretical approaches based on hypotheses of what kind of information constitutes a mental state are included. (shrink)

This article explores some of the ways in which the conceptual apparatus of A Thousand Plateaus, and especially its machinic metaphysics, can be connected to recent developments in computer modelling and social simulation, which provide new tools for thinking that are becoming increasingly popular among philosophers and social scientists. Conversely, the successful deployment of these tools provides warrant for the flat ontology articulated in A Thousand Plateaus and therefore contributes to the ‘reversal of Platonism’ for which Deleuze had called in (...) his earlier works, such as Logic of Sense. The first major section offers a brief exposition of some key concepts in A Thousand Plateaus in order to set the stage for the second and third major sections, which argue that the fabrication of a metaphysics of immanence can be accelerated by connecting its conceptual apparatus more explicitly to insights derived from philosophical analyses of computational modelling and simulation and the social scientific use of ‘assemblage theory’. The article concludes with a summary of the argument and a brief consideration of some of the potential ethical and political implications of this interdisciplinary engagement. (shrink)

At some point the mechanics of schooling begin running of their own accord. Such has become the case with grades (A's, B's, C's, etc.). This article reconsiders the history of grades through the concepts of immanence and abstract machines from the oeuvre of Deleuze and Guattari. In the first section, the history of grades as presently written until now is laid out. In the second, the concepts of immanence and abstract machines are described, and in the (...) third section, problems are raised by reconsidering grades as machines (grade-machines). (shrink)

Decisions based on algorithmic, machine learning models can be unfair, reproducing biases in historical data used to train them. While computational techniques are emerging to address aspects of these concerns through communities such as discrimination-aware data mining and fairness, accountability and transparency machine learning, their practical implementation faces real-world challenges. For legal, institutional or commercial reasons, organisations might not hold the data on sensitive attributes such as gender, ethnicity, sexuality or disability needed to diagnose and mitigate emergent indirect discrimination-by-proxy, such (...) as redlining. Such organisations might also lack the knowledge and capacity to identify and manage fairness issues that are emergent properties of complex sociotechnical systems. This paper presents and discusses three potential approaches to deal with such knowledge and information deficits in the context of fairer machine learning. Trusted third parties could selectively store data necessary for performing discrimination discovery and incorporating fairness constraints into model-building in a privacy-preserving manner. Collaborative online platforms would allow diverse organisations to record, share and access contextual and experiential knowledge to promote fairness in machine learning systems. Finally, unsupervised learning and pedagogically interpretable algorithms might allow fairness hypotheses to be built for further selective testing and exploration. Real-world fairness challenges in machine learning are not abstract, constrained optimisation problems, but are institutionally and contextually grounded. Computational fairness tools are useful, but must be researched and developed in and with the messy contexts that will shape their deployment, rather than just for imagined situations. Not doing so risks real, near-term algorithmic harm. (shrink)

Wittgenstein’s “machines-as-symbols” are considered with respect to their historical sources and their symbolic and logical nature. Among these sources and precursors, along with Leonardo’s drawings of machines, there are illustrated “machine books”, a kind of book published in the period from the 16th to the 18th centuries which consist of pictures and descriptions of a variety of mechanical devices. Most probably, these books were one of Wittgenstein’s inspirations for his view of machines as components of language-games. The (...) picture of homo volans in Vrančić’s machine book possessed by Wittgenstein is taken as an example. In particular, homo volans is shown to contain patterns of logical laws and rules and to be abstractly interpretable as a logical symbol. A machine, taken as a symbol, is shown to be a precondition of a meaningful “overview” of a mechanical work that exceeds the limits of decidability, and to possess causal features if causality is understood teleologically and in a deeper sense of a “binding” life. (shrink)

In Malicious Deceivers, Ioana B. Jucan traces a genealogy of post-truth intimately tied to globalizing modernity and connects the production of repeatable fakeness with capitalism and Cartesian metaphysics. Through case studies that cross times and geographies, the book unpacks the notion of fakeness through the related logics of dissimulation (deception) and simulation (performativity) as seen with software/AI, television, plastics, and the internet. Specifically, Jucan shows how these (dis)simulation machines and performative objects construct impoverished pictures of the world, ensuring a (...) repeatable sameness through processes of hollowing out embodied histories and lived experience. Through both its methodology and its subjects-objects of study, the book further seeks ways to counter the abstracting mode of thinking and the processes of voiding performed by the twinning of Cartesian metaphysics and global capitalism. Enacting a model of creative scholarship rooted in the tradition of writing as performance, Jucan, a multimedia performance-maker and theatre director, uses the embodied "I" as a framing and situating device for the book and its sites of investigation. In this way, she aims to counter the Cartesian voiding of the thinking "I" and to enact a different kind of relationship between self and world from the one posited by Descartes and replayed in much Western philosophical and - more broadly - academic writing: a relationship of separation that situates the "I" on a pedestal of abstraction that voids it of its embodied histories and fails to account for its positionality within a socio-historical context and the operations of power that define it. (shrink)

In this new installation of his work, William E. Connolly examines entanglements between volatile earth processes and emerging cultural practices. He highlights relays between extractive capitalism, self-amplifying climate processes, migrations, democratic aspirations, and fascist dangers. In three interwoven essays, Connolly takes up thinkers in the "minor tradition" of European thought who, unlike Cartesians and Kantians, cross divisions between nature and culture. He first offers readings of Sophocles and Mary Shelley, asking whether close attention to the Anthropocene could perhaps have arrived (...) earlier had later humanists absorbed their lessons. He then joins Deleuze and Guattari's notion of an abstract machine with contemporary earth sciences, doing so to compare the Antique Little Ice Age in late Rome to relays today between extractive capitalism and accelerating climate processes. The final essay stages a dialogue between Alfred North Whitehead and Michel Foucault about the pursuit of truth during a time of planetary turbulence. With _Climate Machines, Fascist Drives, and Truth_, Connolly forges incisive interventions into key issues of our time. (shrink)

What does it take to implement a computer? Answers to this question have often focused on what it takes for a physical system to implement an abstract machine. As Joslin observes, this approach neglects cases of software implementation—cases where one machine implements another by running a program. These cases, Joslin argues, highlight serious problems for mapping accounts of computer implementation—accounts that require a mapping between elements of a physical system and elements of an abstract machine. The source of (...) these problems is the complexity introduced by common design features of ordinary computers, features that would be relevant to any real-world software implementation. While Joslin is focused on contemporary views, his discussion also suggests a counterexample to recent mapping accounts which hold that genuine implementation requires simple mappings. In this paper, I begin by clarifying the nature of software implementation and disentangling it from closely related phenomena like emulation and simulation. Next, I argue that Joslin overstates the degree of complexity involved in his target cases and that these cases may actually give us reasons to favor simplicity-based criteria over relevant alternatives. Finally, I propose a novel problem for simplicity-based criteria and suggest a tentative solution. (shrink)

An early work that lays the foundation for establishing a “polemical” dimension to psychoanalysis. We certainly have the unconscious that we deserve, an unconscious for specialists, ready-made for an institutionalized discourse. I would rather see it as something that wraps itself around us in everyday objects, something that is involved with day-to-day problems, with the world outside. It would be the possible itself, open to the socius, to the cosmos...—from The Machinic Unconscious: Essays in Schizoanalysis In his seminal solo-authored work (...) The Machinic Unconscious, Félix Guattari lays the groundwork for a general pragmatics capable of resisting the semiotic enslavement of subjectivity. Concluding that psychoanalytic theory had become part and parcel of a repressive, capitalist social order, Guattari here outlines a schizoanalytic theory to undo its capitalist structure and set the discipline back on its feet. Combining theoretical research from fields as diverse as cybernetics, semiotics, ethnology, and ethology, Guattari reintroduces into psychoanalysis a “polemical” dimension, at once transhuman, transsexual, and transcosmic, that brings out the social and political—the “machinic”—potential of the unconscious. To illustrate his theory, Guattari turns to literature and analyzes the various modes of subjectivization and semiotization at work in Proust's In Search of Lost Time, examining the novel as if he were undertaking a scientific exploration in the style of Freud or Newton. Casting Proust's figures as abstract mental objects, Guattari maps the separation between literature and science, elaborating along the way such major Deleuze-Guattarian concepts as “faciality” and “refrain,” which would be unpacked in their subsequent A Thousand Plateaus: Capitalism and Schizophrenia. Never before available in English, The Machinic Unconscious has for too long been the missing chapter from Deleuze and Guattari's Anti-Oedipus project: the most important political extension of May 1968 and one of the most important philosophical contributions of the twentieth century. (shrink)

Instead of using low-level neurophysiology mimicking and exploratory programming methods commonly used in the machine consciousness field, the hierarchical Operational Architectonics (OA) framework of brain and mind functioning proposes an alternative conceptual-theoretical framework as a new direction in the area of model-driven machine (robot) consciousness engineering. The unified brain-mind theoretical OA model explicitly captures (though in an informal way) the basic essence of brain functional architecture, which indeed constitutes a theory of consciousness. The OA describes the neurophysiological basis of the (...) phenomenal level of brain organization. In this context the problem of producing man-made “machine” consciousness and “artificial” thought is a matter of duplicating all levels of the operational architectonics hierarchy (with its inherent rules and mechanisms) found in the brain electromagnetic field. We hope that the conceptual-theoretical framework described in this paper will stimulate the interest of mathematicians and/or computer scientists to abstract and formalize principles of hierarchy of brain operations which are the building blocks for phenomenal consciousness and thought. (shrink)

The notion of computation has changed the world more than any previous expressions of knowledge. However, as know-how in its particular algorithmic embodiment, computation is closed to meaning. Therefore, computer-based data processing can only mimic life’s creative aspects, without being creative itself. AI’s current record of accomplishments shows that it automates tasks associated with intelligence, without being intelligent itself. Mistaking the abstract for the concrete has led to the religion of “everything is an output of computation”—even the humankind that (...) conceived the computer. The hypostatized role of computers explains the increased dependence on them. The convergence machine called deep learning is only the most recent form through which the deterministic theology of the machine claims more than what it actually is: extremely effective data processing. A proper understanding of complexity, as well as the need to distinguish between the reactive nature of the artificial and the anticipatory nature of the living are suggested as practical responses to the challenges posed by machine theology. (shrink)

Machine vision is one of the main applications of artificial intelligence. In China, the machine vision industry makes up more than a third of the national AI market, and technologies like face recognition, object tracking and automated driving play a central role in surveillance systems and social governance projects relying on the large-scale collection and processing of sensor data. Like other novel articulations of technology and society, machine vision is defined, developed and explained by different actors through the work of (...) imagination. In this article, we draw on the concept of sociotechnical imaginaries to understand how Chinese companies represent machine vision. Through a qualitative multimodal analysis of the corporate websites of leading industry players, we identify a cohesive sociotechnical imaginary of machine vision, and explain how four distinct visual registers contribute to its articulation. These four registers, which we call computational abstraction, human–machine coordination, smooth everyday, and dashboard realism, allow Chinese tech companies to articulate their global ambitions and competitiveness through narrow and opaque representations of machine vision technologies. (shrink)

Interactions between humans and bots are increasingly common online, prompting some legislators to pass laws that require bots to disclose their identity. The Turing test is a classic thought experiment testing humans’ ability to distinguish a bot impostor from a real human from exchanging text messages. In the current study, we propose a minimal Turing test that avoids natural language, thus allowing us to study the foundations of human communication. In particular, we investigate the relative roles of conventions and reciprocal (...) interaction in determining successful communication. Participants in our task could communicate only by moving an abstract shape in a 2D space. We asked participants to categorize their online social interaction as being with a human partner or a bot impostor. The main hypotheses were that access to the interaction history of a pair would make a bot impostor more deceptive and interrupt the formation of novel conventions between the human participants. Copying their previous interactions prevents humans from successfully communicating through repeating what already worked before. By comparing bots that imitate behavior from the same or a different dyad, we find that impostors are harder to detect when they copy the participants’ own partners, leading to less conventional interactions. We also show that reciprocity is beneficial for communicative success when the bot impostor prevents conventionality. We conclude that machine impostors can avoid detection and interrupt the formation of stable conventions by imitating past interactions, and that both reciprocity and conventionality are adaptive strategies under the right circumstances. Our results provide new insights into the emergence of communication and suggest that online bots mining personal information, for example, on social media, might become indistinguishable from humans more easily. (shrink)

For a long time, emotions have been ignored in the attempt to model intelligent behavior. However, within the last years, evidence has come from neuroscience that emotions are an important facet of intelligent behavior being involved into cognitive problem solving, decision making, the establishment of social behavior, and even conscious experience. Also in research communities like software agents and robotics, an increasing number of researchers start to believe that computational models of emotions will be needed to design intelligent systems. Nevertheless, (...) modeling emotions in technical terms poses many difficulties and has often been accounted as just not feasible. In this article, there are identified the main problems, which occur when attempting to implement emotions into machines. By pointing out these problems, it is aimed to avoid repeating mistakes committed when modeling computational models of emotions in order to speed up future development in this area. The identified issues are not derived from abstract reflections about this topic but from the actual attempt to implement emotions into a technical system based on neuroscientific research findings. It is argued that besides focusing on the cognitive aspects of emotions, a consideration of the bodily aspects of emotions—their grounding into a visceral body—is of crucial importance, especially when a system shall be able to learn correlations between environmental objects and events and their “emotional meaning”. (shrink)

We certainly have the unconscious that we deserve, an unconscious for specialists, ready-made for an institutionalized discourse. I would rather see it as something that wraps itself around us in everyday objects, something that is involved with day-to-day problems, with the world outside. It would be the possible itself, open to the socius, to the cosmos...--from The Machinic Unconscious: Essays in SchizoanalysisIn his seminal solo-authored work The Machinic Unconscious, Félix Guattari lays the groundwork for a general pragmatics capable of resisting (...) the semiotic enslavement of subjectivity. Concluding that psychoanalytic theory had become part and parcel of a repressive, capitalist social order, Guattari here outlines a schizoanalytic theory to undo its capitalist structure and set the discipline back on its feet. Combining theoretical research from fields as diverse as cybernetics, semiotics, ethnology, and ethology, Guattari reintroduces into psychoanalysis a "polemical" dimension, at once transhuman, transsexual, and transcosmic, that brings out the social and political--the "machinic"--potential of the unconscious.To illustrate his theory, Guattari turns to literature and analyzes the various modes of subjectivization and semiotization at work in Proust's In Search of Lost Time, examining the novel as if he were undertaking a scientific exploration in the style of Freud or Newton. Casting Proust's figures as abstract mental objects, Guattari maps the separation between literature and science, elaborating along the way such major Deleuze-Guattarian concepts as "faciality" and "refrain," which would be unpacked in their subsequent A Thousand Plateaus: Capitalism and Schizophrenia.Never before available in English, The Machinic Unconscious has for too long been the missing chapter from Deleuze and Guattari's Anti-Oedipus project: the most important political extension of May 1968 and one of the most important philosophical contributions of the twentieth century. (shrink)

This book provides a framework for thinking about foundational philosophical questions surrounding machine learning as an approach to artificial intelligence. Specifically, it links recent breakthroughs in deep learning to classical empiricist philosophy of mind. In recent assessments of deep learning's current capabilities and future potential, prominent scientists have cited historical figures from the perennial philosophical debate between nativism and empiricism, which primarily concerns the origins of abstract knowledge. These empiricists were generally faculty psychologists; that is, they argued that the (...) active engagement of general psychological faculties-such as perception, memory, imagination, attention, and empathy-enables rational agents to extract abstract knowledge from sensory experience. This book explains a number of recent attempts to model roles attributed to these faculties in deep neural network based artificial agents by appeal to the faculty psychology of philosophers such as Aristotle, Ibn Sina (Avicenna), John Locke David Hume, William James, and Sophie de Grouchy. It illustrates the utility of this interdisciplinary connection by showing how it can provide benefits to both philosophy and computer science: computer scientists can continue to mine the history of philosophy for ideas and aspirational targets to hit on the way to more robustly rational artificial agents, and philosophers can see how some of the historical empiricists' most ambitious speculations can be realized in specific computational systems. (shrink)

We characterize abstraction in computer science by first comparing the fundamental nature of computer science with that of its cousin mathematics. We consider their primary products, use of formalism, and abstraction objectives, and find that the two disciplines are sharply distinguished. Mathematics, being primarily concerned with developing inference structures, has information neglect as its abstraction objective. Computer science, being primarily concerned with developing interaction patterns, has information hiding as its abstraction objective. We show that abstraction through information hiding is a (...) primary factor in computer science progress and success through an examination of the ubiquitous role of information hiding in programming languages, operating systems, network architecture, and design patterns. (shrink)

This intervention concerns the different statute of abstraction in Marx's work. By means of a critical confrontation with Chris Arthur's work, Finelli presents his thesis of the presence of a double theory and fuction of abstraction in Marx's work. In the early Marx, until the German Ideology, abstraction is, in accordance with the traditional meaning of this term, a product of the mind, an unreal spectre. More exactly, it consists in negating the common essence belonging to labouring humanity and projecting (...) it, as alienated universal, into the idea of philosophy, into the state of politics and into the money of the market. In the later Marx, the nature of abstraction is, rather than mental, practical. It is directly related to the quantity without quality of capitalist labour, and it is the product of the systemic connection of machines to labour-power. In contrast to Arthur, Finelli maintains that practical abstraction in the Marx of Capital is not located in the zone of exchange and the market, where there is the mediation of money. On the contrary, it is located in the zone of production, which, for Marx, is a social ensemble not mediated by money but by relations of technological domination. (shrink)

As modern deep networks become more complex, and get closer to human‐like capabilities in certain domains, the question arises as to how the representations and decision rules they learn compare to the ones in humans. In this work, we study representations of sentences in one such artificial system for natural language processing. We first present a diagnostic test dataset to examine the degree of abstract composable structure represented. Analyzing performance on these diagnostic tests indicates a lack of systematicity in (...) representations and decision rules, and reveals a set of heuristic strategies. We then investigate the effect of training distribution on learning these heuristic strategies, and we study changes in these representations with various augmentations to the training set. Our results reveal parallels to the analogous representations in people. We find that these systems can learn abstract rules and generalize them to new contexts under certain circumstances—similar to human zero‐shot reasoning. However, we also note some shortcomings in this generalization behavior—similar to human judgment errors like belief bias. Studying these parallels suggests new ways to understand psychological phenomena in humans as well as informs best strategies for building artificial intelligence with human‐like language understanding. (shrink)

Data science is not simply a method but an organising idea. Commitment to the new paradigm overrides concerns caused by collateral damage, and only a counterculture can constitute an effective critique. Understanding data science requires an appreciation of what algorithms actually do; in particular, how machine learning learns. The resulting ‘insight through opacity’ drives the observable problems of algorithmic discrimination and the evasion of due process. But attempts to stem the tide have not grasped the nature of data science as (...) both metaphysical and machinic. Data science strongly echoes the neoplatonism that informed the early science of Copernicus and Galileo. It appears to reveal a hidden mathematical order in the world that is superior to our direct experience. The new symmetry of these orderings is more compelling than the actual results. Data science does not only make possible a new way of knowing but acts directly on it; by converting predictions to pre-emptions, it becomes a machinic metaphysics. The people enrolled in this apparatus risk an abstraction of accountability and the production of ‘thoughtlessness’. Susceptibility to data science can be contested through critiques of science, especially standpoint theory, which opposes the ‘view from nowhere’ without abandoning the empirical methods. But a counterculture of data science must be material as well as discursive. Karen Barad’s idea of agential realism can reconfigure data science to produce both non-dualistic philosophy and participatory agency. An example of relevant praxis points to the real possibility of ‘machine learning for the people’. (shrink)