Representation is central to contemporary theorizing about the mind/brain. But the nature of representation--both in the mind/brain and more generally--is a source of ongoing controversy. One way of categorizing representational types is to distinguish between the analog and the digital: the received view is that analog representations vary smoothly, while digital representations vary in a step-wise manner. I argue that this characterization is inadequate to account for the ways in which representation is used in cognitive science; (...) in its place, I suggest an alternative taxonomy. I will defend and extend David Lewis's account of analog and digital representation, distinguishing analog from continuous representation, as well as digital from discrete representation. I will argue that the distinctions available in this four-fold account accord with representational features of theoretical interest in cognitive science more usefully than the received analog/digital dichotomy. (shrink)

In this paper, I argue for three claims. The first is that the difference between analog and digital representation lies in the format and not the medium of representation. The second is that whether a given system is analog or digital will sometimes depend on facts about the user of that system. The third is that the first two claims are implicit in Haugeland's (1998) account of the distinction.

The ‘received view’ of the analog–digital distinction holds that analog representations are continuous while digital representations are discrete. In this paper I first provide support for the received view by showing how it (1) emerges from the theory of computation, and (2) explains engineering practices. Second, I critically assess several recently offered alternatives, arguing that to the degree they are justified they demonstrate not that the received view is incorrect, but rather that distinct senses of the (...) terms have become entrenched specific fields, perhaps most notably in the cognitive psychology of mental imagery. (shrink)

We analyzed the association between the analog and the digital home learning environment in toddlers’ and preschoolers’ homes, and whether both aspects are associated with children’s social and academic competencies. Here, we used data of the national representative sample of Growing up in Germany II, which includes 4,914 children aged 0–5 years. The HLE was assessed via parental survey that included items on the analog HLE and items on the digital HLE. Children’s socio-emotional, practical life skills, (...) and academic competencies were assessed via standardized parental ratings. Our results indicate that there are two dimensions of the HLE, an analog and a digital, that are slightly positively associated, especially in the toddler age group. For toddlers, only analog HLE activities were associated with better socio-emotional outcomes and practical life skills. However, interaction effects indicate that toddlers with less frequent analog HLE activities showed better socio-emotional skills in households with more frequent digital activities. For preschoolers, digital HLE activities were associated with weaker socio-emotional skills but higher academic skills, although the analog HLE shows higher effect sizes for the academic outcomes. Our study points out that analog and digital HLE activities seem to be partly associated, but not interchangeable. Further, they seem to be important variables that can explain individual differences in young children’s socio-emotional, practical life, and academic competencies. However, digital media usage at home may also have negative effects on children’s social–emotional competencies. This association needs to be investigated further. (shrink)

It is fairly well-known that certain hard computational problems (that is, 'difficult' problems for a digital processor to solve) can in fact be solved much more easily with an analog machine. This raises questions about the true nature of the distinction between analog and digital computation (if such a distinction exists). I try to analyze the source of the observed difference in terms of (1) expanding parallelism and (2) more generally, infinite-state Turing machines. The issue of (...) discreteness vs continuity will also be touched upon, although it is not so important for analyzing these particular problems. (shrink)

It will always remain a remarkable phenomenon in the history of philosophy, that there was a time, when even mathematicians, who at the same time were philosophers, began to doubt, not of the accuracy of their geometrical propositions so far as they concerned space, but of their objective validity and the applicability of this concept itself, and of all its corollaries, to nature. They showed much concern whether a line in nature might not consist of physical points, and consequently that (...) true space in the object might consist of simple [discrete] parts, while the space which the geometer has in his mind [being continuous] cannot be such. (shrink)

The abstract basis of modern computation is the formal description of a finite state machine, the Universal Turing Machine, based on manipulation of integers and logic symbols. In this contribution to the discourse on the computer-brain analogy, we discuss the extent to which analog computing, as performed by the mammalian brain, is like and unlike the digital computing of Universal Turing Machines. We begin with ordinary reality being a permanent dialog between continuous and discontinuous worlds. So it is (...) with computing, which can be analog or digital, and is often mixed. The theory behind computers is essentially digital, but efficient simulations of phenomena can be performed by analog devices; indeed, any physical calculation requires implementation in the physical world and is therefore analog to some extent, despite being based on abstract logic and arithmetic. The mammalian brain, comprised of neuronal networks, functions as an analog device and has given rise to artificial neural networks that are implemented as digital algorithms but function as analog models would. Analog constructs compute with the implementation of a variety of feedback and feedforward loops. In contrast, digital algorithms allow the implementation of recursive processes that enable them to generate unparalleled emergent properties. We briefly illustrate how the cortical organization of neurons can integrate signals and make predictions analogically. While we conclude that brains are not digital computers, we speculate on the recent implementation of human writing in the brain as a possible digital path that slowly evolves the brain into a genuine (slow) Turing machine. (shrink)

Noisefest! is an interactive, multisensory experience centered around a small Maine town and rooted in the sounds and noise of its streets. Comprising a Virtual Reality tour, soundwalks and remixes, a 2D laser cut geographical map with Arduino controllers, and a Futuristic noise intoner, one of the objectives of this collaborative, transdisciplinary, and theory-based project is to create concrete opportunities for students to participate in the “real” world and engage with the materiality of noise and its manifestations by interacting with (...) the soundscape through novel, interactive, and multisensory practices. Noisefest! is also an example of how one can creatively and artistically extend the reach of the digital humanities beyond the borders of academia and into the public realm. (shrink)

Church's thesis, that all reasonable definitions of “computability” are equivalent, is not usually thought of in terms of computability by acontinuouscomputer, of which the general-purpose analog computer (GPAC) is a prototype. Here we prove, under a hypothesis of determinism, that the analytic outputs of aC∞GPAC are computable by a digital computer.In [POE, Theorems 5, 6, 7, and 8], Pour-El obtained some related results. (The proof there of Theorem 7 depends on her Theorem 2, for which the proof in (...) [POE] is incorrect, but for which a correct proof is given in [LIR]. Also, the proof in [POE] of Theorem 8 depends on the unproved assertion that a solution of an algebraic differential equation must be analytic on an open subset of its domain. However, this assertion was later proved in [BRR].) As in [POE], we reduce the problem to a problem about solutions of certain systems of algebraic differential equations (ADE's). If such a system is nonsingular (i.e. if the “separant” does not vanish along the given solution), then the argument is very easy (see [VSD] for an even simpler situation), so that the essential difficulties arise fromsingularsystems. Our main tools in handling these difficulties are drawn from the excellent (and difficult) paper [DEL] by Denef and Lipshitz. The author especially wants to thank Leonard Lipshitz for his kind help in the preparation of the present paper.We emphasize here that our proof of the simulation result applies only to the GPAC as described below. The GPAC's form a natural subclass of the class of all analog computers, and are based on certain idealized components (“black boxes”), mostly associated with the technology of past decades. One can easily envisage other kinds of black boxes of an input-output character that would lead to different kinds of analog computers. (For example, one could incorporate delays, or spatial integrators in addition to the present temporal integrators, etc.) Whether digital simulation is possible for these “extended” analog computers poses a rich and challenging set of research questions. (shrink)

Flanders will complete the migration from analog to digital terrestrial television by the end of 2008. Despite the cable dominated television landscape, the Flemish government is aiming at a smooth transition from analog to digital terrestrial television. Therefore, a multi-methodical study has been set up by order of the Flemish government to understand the specific features and needs of analog antenna viewers and their expectations for the analog switch-off. The study shows that there are (...) three distinctive types of analog antenna viewers. The results demonstrate that the antenna viewers are rather badly informed about the upcoming analog switch-off, which may lead to a negative attitude and may impede a smooth transition. Finally, antenna viewers seem to be rather conservative viewers: they wish to keep on watching the same television programs from the same channels. Moreover, digital terrestrial television is their preferred alternative. (shrink)

This article intends to establish a comparison between technical analog objects—which were the objects of the epoch when the French philosopher Gilbert Simondon elaborated his philosophical reflection—and digital devices that emerged in the last few decades of the 1900s. First, I define the main features of Simondon’s technical objects in order to understand what the necessary conditions are for there to be technical progress, which is based on what he called the process of concretization. Then, I analyze the (...) relationship between digital objects—as understood by Yuk Hui—and digital devices that take over from analog objects, without necessarily presenting continuity in an evolutionary process. Finally, I intend to expose the role that both analog objects and digital devices play as mediators with the world in a digital era, and to address the question of technical culture nowadays. (shrink)

We examine the interrelationships between analog computational modelling and analogue (physical) modelling. To this end, we attempt a regimentation of the informal distinction between analog and digital, which turns on the consideration of computing in a broader context. We argue that in doing so one comes to see that (scientific) computation is better conceptualised as an epistemic process relative to agents, wherein representations play a key role. We distinguish between two, conceptually distinct, kinds of representation that, we (...) argue, are both involved in each case of computing. Based on the semantic and syntactic properties of each of these representations, we put forward a new account of the distinction between analog and digital computing. We discuss how the developed account is able to explain various properties of different models of computation, and we finish by conceptually comparing analog computational modelling to analogue (scale) modelling. It is concluded that, contrary to the standard view, the two practices are orthogonal, differing both in their foundations and in the epistemic functions they fulfil. (shrink)

We argue that living systems process information such that functionality emerges in them on a continuous basis. We then provide a framework that can explain and model the normativity of biological functionality. In addition we offer an explanation of the anticipatory nature of functionality within our overall approach. We adopt a Peircean approach to Biosemiotics, and a dynamical approach to Digital-Analog relations and to the interplay between different levels of functionality in autonomous systems, taking an integrative approach. We (...) then apply the underlying biosemiotic logic to a particular biological system, giving a model of the B-Cell Receptor signaling system, in order to demonstrate how biosemiotic concepts can be used to build an account of biological information and functionality. Next we show how this framework can be used to explain and model more complex aspects of biological normativity, for example, how cross-talk between different signaling pathways can be avoided. Overall, we describe an integrated theoretical framework for the emergence of normative functions and, consequently, for the way information is transduced across several interconnected organizational levels in an autonomous system, and we demonstrate how this can be applied in real biological phenomena. Our aim is to open the way towards realistic tools for the modeling of information and normativity in autonomous biological agents. (shrink)

We live in an era characterized by technology as an integral part of the overall experiences. Non-hierarchic access to communication and virtual contacts in the metaverse, experienced as no less real than those in the brick-and-mortar world. The global health crisis has further highlighted the understanding that the integration of technology into our lives is inevitable, and when it comes to teaching and learning, the right use of technology can take teachers and learners to new, exciting places. The social distancing (...) regulations imposed worldwide provided educators with an opportunity to try out a variety of technological tools that enable surprising collaborations and access to information that encourages cognitive flexibility and a reexamination of our assumptions on knowledge, learning, teaching, human interaction, and space-time’s limitations. However, one great challenge within this ongoing transition concerns underprepared educators, feeling the pressure to make a successful shift while sustaining their educational inner compass regarding what constitutes adequate education. In this teacher’s self-study, I examined my teaching experience while teaching online. Informed by existing research, critical reflections, dialogue with a critical friend, a community of colleagues, and students’ artifacts, I inquire whether—and how—I can practice dialogical pedagogy while teaching online. (shrink)

The common account of the analog vs digital distinction is based on features of physical systems, being related to the usage of continuous vs discrete supports respectively. It is proposed here to alternatively characterize the concepts of analog and digital as related to coding systems, of which a formal definition is given, by suggesting that the distinction refers to the strategy adopted to define the coding function: extensional in digital systems, isomorphic intensional in analog (...) systems. This thesis is supported by examples, in particular of analog systems exploiting discrete supports, and is discussed to explain why digital coding is currently so widespread in technological and social practice. (shrink)

Obesity continues to be a global issue. In recent years, researchers have started to question the role of our novel yet ubiquitous use of digital media in the development of obesity. With the recent COVID-19 outbreak affecting almost all aspects of society, many people have moved their social eating activities into the digital space, making the question as relevant as ever. The bombardment of appetizing food images and photography – colloquially referred to as “food porn” – has become (...) a significant aspect of the digital food experience. This review presents an overview of whether and how the viewing, creating, and online sharing of digital food photography can influence consumer eating behavior. Moreover, this review provides an outlook of future research opportunities, both to close the gaps in our scientific understanding of the physiological and psychological interaction between digital food photography and actual eating behavior, and, from a practical viewpoint, to optimize our digital food media habits to support an obesity-preventive lifestyle. We do not want to rest on the idea that food imagery’s current prevalence is a core negative influence per se. Instead, we offer the view that active participation in food photography, in conjunction with a selective use of food-related digital media, might contribute to healthy body weight management and enhanced meal pleasure. (shrink)

Characterizing different kinds of representation is of fundamental importance to cognitive science, and one traditional way of doing so is in terms of the analog–digital distinction. Indeed the distinction is often appealed to in ways both narrow and broad. In this paper I argue that the analog–digital distinction does not apply to representational schemes but only to representational systems, where a representational system is constituted by a representational scheme and its user, and that whether a representational (...) system is analog or non-analog depends on facts about that user. This aspect of the distinction has gone unnoticed, and I argue that the failure to notice it can be an impediment to scientific progress. (shrink)

The distinction between analog and digital representation is reexamined; it emerges that a more fundamental distinction is that between symbolic and analog simulation. Analog simulation is analyzed in terms of a (near) isomorphism of causal structures between a simulating and a simulated process. It is then argued that a core concept, naturalistic analog simulation, may play a role in a bottom-up theory of adaptive behavior which provides an alternative to representational analyses. The appendix discusses some (...) formal conditions for naturalistic analog simulation. (shrink)

This article presents a model and a case study of the narrative structures that are present in the interactive media design of multimedia applications in the mass media. As basic categories for the history and structure of media, we employ the model of the modes of the physical, analog, and digital presentation/representation. In this case study of the online edition of the New York Times, we have the case of a newspaper that in the digital edition employs (...) multi-media applications. Contrasting the traditional concept of “narrativity” with the current status quo of the digital media outlets, we will examine the specific conditions of the multimedia applications in the mass media with this sample case of the New York Times. As narrative structure of interactive design in multimedia for mass communication, we analyze the types of narrative media and general narrativity in the New York Times with the background of its processes of interactivity and media convergence. (shrink)

This is the first monograph to develop a hermeneutic approach to the digital--as both a technological milieu and a cultural phenomenon. While philosophical in its orientation, the book covers a wide body of literature across science and technology studies, media studies, digital humanities, digital sociology, cognitive science, and the study of artificial intelligence. In the first part of the book, the author formulates an epistemological thesis according to which the "virtual never ended." Although the frontiers between the (...) real and the virtual are certainly more porous today, they still exist and endure. In the book's second part, the author offers an ontological reflection on emerging digital technologies as "imaginative machines." He introduces the concept of emagination, arguing that human schematizations are always externalized into technologies, and that human imagination has its analog in the digital dynamics of articulation between databases and algorithms. The author takes an ethical and political stance in the concluding chapter. He resorts to the notion of "digital habitus" for claiming that within the digital we are repeatedly being reconducted to an oversimplified image and understanding of ourselves. Digital Hermeneutics will be of interest to scholars across a wide range of disciplines, including those working on philosophy of technology, hermeneutics, science and technology studies, media studies, and the digital humanities. (shrink)

Typical accounts of imagistic content have focused on the apparent analog character or continuous variability of images. In contrast, I consider the distinctive features of digital images, those composed of finite sets of discrete pixels. A rich source of evidence on digital imagistic content is found in the content-preserving algorithms that resize and reproduce digital images on computer screens and printers. I argue that these algorithms reveal a distinctive structural feature: digital images are always compositional (...) (their parts contribute systematically to overall content), but never inverse compositional (atomic parts may be replaced nonsynonymously without changing content). This indicates a sharp contrast with linguistic representations, which may or may not be compositional, and may or may not be inverse compositional. I argue this result sheds new light on the claim that imagistic content is inherently perspectival. (shrink)

The issue of symbol grounding is not essentially different in analog and digital computation. The principal difference between the two is that in analog computers continuous variables change continuously, whereas in digital computers discrete variables change in discrete steps (at the relevant level of analysis). Interpretations are imposed on analog computations just as on digital computations: by attaching meanings to the variables and the processes defined over them. As Harnad (2001) claims, states acquire intrinsic (...) meaning through their relation to the real (physical) environment, for example, through transduction. However, this is independent of the question of the continuity or discreteness of the variables or the transduction processes. (shrink)

Computationalism about the brain is the view that the brain literally performs computations. For the view to be interesting, we need an account of computation. The most well-developed account of computation is Turing Machine computation, the account provided by theoretical computer science which provides the basis for contemporary digital computers. Some have thought that, given the seemingly-close analogy between the all-or-nothing nature of neural spikes in brains and the binary nature of digital logic, neural computation could be a (...) species of digital computation. A few recent authors have offered arguments against this idea; here, I review recent findings in neuroscience that further cement the implausibility of this view. However, I argue that we can retain the view that the brain is a computer if we expand what we mean by “computation” to include analog computation. I articulate an account of analog computation as the manipulation of analog representations based on previous work on the difference between analog and non-analog representations, extending a view originally articulated in Shagrir :271–279, 2010). Given that analog computation constitutes a significant chapter in the history of computation, this revision of computationalism to include analog computation is not an ad hoc addition. Brains may well be computers, but of the analog kind, rather than the digital kind. (shrink)

A radically empirical exploration of movement and technology and the transformations of choreography in a digital realm. Digital technologies offer the possibility of capturing, storing, and manipulating movement, abstracting it from the body and transforming it into numerical information. In Moving without a Body, Stamatia Portanova considers what really happens when the physicality of movement is translated into a numerical code by a technological system. Drawing on the radical empiricism of Gilles Deleuze and Alfred North Whitehead, she argues (...) that this does not amount to a technical assessment of software's capacity to record motion but requires a philosophical rethinking of what movement itself is, or can become. Discussing the development of different audiovisual tools and the shift from analog to digital, she focuses on some choreographic realizations of this evolution, including works by Loie Fuller and Merce Cunningham. Throughout, Portanova considers these technologies and dances as ways to think—rather than just perform or perceive—movement. She distinguishes the choreographic thought from the performance: a body performs a movement, and a mind thinks or choreographs a dance. Similarly, she sees the move from analog to digital as a shift in conception rather than simply in technical realization. Analyzing choreographic technologies for their capacity to redesign the way movement is thought, Moving without a Body offers an ambitiously conceived reflection on the ontological implications of the encounter between movement and technological systems. (shrink)

This dissertation examines aspects of the interplay between computing and scientific practice. The appropriate foundational framework for such an endeavour is rather real computability than the classical computability theory. This is so because physical sciences, engineering, and applied mathematics mostly employ functions defined in continuous domains. But, contrary to the case of computation over natural numbers, there is no universally accepted framework for real computation; rather, there are two incompatible approaches --computable analysis and BSS model--, both claiming to formalise algorithmic (...) computation and to offer foundations for scientific computing. -/- The dissertation consists of three parts. In the first part, we examine what notion of 'algorithmic computation' underlies each approach and how it is respectively formalised. It is argued that the very existence of the two rival frameworks indicates that 'algorithm' is not one unique concept in mathematics, but it is used in more than one way. We test this hypothesis for consistency with mathematical practice as well as with key foundational works that aim to define the term. As a result, new connections between certain subfields of mathematics and computer science are drawn, and a distinction between 'algorithms' and 'effective procedures' is proposed. -/- In the second part, we focus on the second goal of the two rival approaches to real computation; namely, to provide foundations for scientific computing. We examine both frameworks in detail, what idealisations they employ, and how they relate to floating-point arithmetic systems used in real computers. We explore limitations and advantages of both frameworks, and answer questions about which one is preferable for computational modelling and which one for addressing general computability issues. -/- In the third part, analog computing and its relation to analogue (physical) modelling in science are investigated. Based on some paradigmatic cases of the former, a certain view about the nature of computation is defended, and the indispensable role of representation in it is emphasized and accounted for. We also propose a novel account of the distinction between analog and digital computation and, based on it, we compare analog computational modelling to physical modelling. It is concluded that the two practices, despite their apparent similarities, are orthogonal. (shrink)

This dissertation examines aspects of the interplay between computing and scientific practice. The appropriate foundational framework for such an endeavour is rather real computability than the classical computability theory. This is so because physical sciences, engineering, and applied mathematics mostly employ functions defined in continuous domains. But, contrary to the case of computation over natural numbers, there is no universally accepted framework for real computation; rather, there are two incompatible approaches --computable analysis and BSS model--, both claiming to formalise algorithmic (...) computation and to offer foundations for scientific computing. The dissertation consists of three parts. In the first part, we examine what notion of 'algorithmic computation' underlies each approach and how it is respectively formalised. It is argued that the very existence of the two rival frameworks indicates that 'algorithm' is not one unique concept in mathematics, but it is used in more than one way. We test this hypothesis for consistency with mathematical practice as well as with key foundational works that aim to define the term. As a result, new connections between certain subfields of mathematics and computer science are drawn, and a distinction between 'algorithms' and 'effective procedures' is proposed. In the second part, we focus on the second goal of the two rival approaches to real computation; namely, to provide foundations for scientific computing. We examine both frameworks in detail, what idealisations they employ, and how they relate to floating-point arithmetic systems used in real computers. We explore limitations and advantages of both frameworks, and answer questions about which one is preferable for computational modelling and which one for addressing general computability issues. In the third part, analog computing and its relation to analogue (physical) modelling in science are investigated. Based on some paradigmatic cases of the former, a certain view about the nature of computation is defended, and the indispensable role of representation in it is emphasized and accounted for. We also propose a novel account of the distinction between analog and digital computation and, based on it, we compare analog computational modelling to physical modelling. It is concluded that the two practices, despite their apparent similarities, are orthogonal. (shrink)

The fact that all languages known are digital poses the question of their origin. The answer developed here treats language as the interface of information theory and molecular development by showing previously unrecognized isomorphisms between the analog and digital features of language and life at the molecular level. Human language is a special case of signal transduction and hence is subject to the coding aspects of Shannon's theorems and the analog aspects of pattern recognition, each represented (...) by genotype and phenotype. Digital language acquisition is late in evolution and postnatal development and requires a neural reorganization by a mechanism of somatic network programming in response to the environment. Such a mechanism would solve the Chomsky conundrum of how children can learn any language without knowing rules of grammar too numerous to be encoded genotypically. BioEssays 25:489–500, 2003. © 2003 Wiley Periodicals, Inc. (shrink)

Digital and analog: What do these terms mean today? The use and meaning of such terms change through time. The analog, in particular, seems to go through various phases of popularity and disuse, its appeal pegged most frequently to nostalgic longings for nontechnical or romantic modes of art and culture. The definition of the digital vacillates as well, its precise definition often eclipsed by a kind of fever-pitched industrial bonanza around the latest technologies and the latest (...) commercial ventures. One common response to the question of the digital is to make reference to things like Twitter, Playstation, or computers in general. Here one might be correct, but only coincidentally, for the basic order of digitality (the digitality of digitality) has not yet been demonstrated through mere denotation. And the second question—the question of the analog—is harder still, with responses often also consisting of mere denotations of things: sound waves, the phonograph needle, magnetic tape, a sundial. At least denotation itself is analogical. This article will aim to define the analog explicitly and argue, perhaps counterintuitively, that the golden age of analog thinking was not a few decades past, prior to the wide-spread adoption of the computer. In fact, the fields of structuralism and poststructuralism that emerged in the middle to late twentieth century, concurrent with the deployment of the digital computer, were characteristically digital, what with their focus on the symbolic order and logical economies. If anything, the golden age of analog is happening today, all around us, as evidenced by the proliferation of characteristically analog concerns: sensation, materiality, experience, affect, ethics, and aesthetics. (shrink)

Computational neuroscientists not only employ computer models and simulations in studying brain functions. They also view the modeled nervous system itself as computing. What does it mean to say that the brain computes? And what is the utility of the ‘brain-as-computer’ assumption in studying brain functions? In previous work, I have argued that a structural conception of computation is not adequate to address these questions. Here I outline an alternative conception of computation, which I call the analog-model. The term (...) ‘analog-model’ does not mean continuous, non-discrete or non-digital. It means that the functional performance of the system simulates mathematical relations in some other system, between what is being represented. The brain-as-computer view is invoked to demonstrate that the internal cellular activity is appropriate for the pertinent information-processing task.Keywords: Computation; Computational neuroscience; Analog computers; Representation; Simulation. (shrink)

From analog to digital news -- A new paradigm for news -- Legacy news organizations move from analog to digital -- Intellectual property and information sharing -- Citizen responsibility in the digital era -- Thinking through ethical issues in digital journalism -- DOIT, a process for normative analysis -- Issues in convergent journalism -- Privacy and disclosure -- Deception in sourcing and presentation -- Media corruption -- Using the virtual world to create a better (...) physical world -- Beyond ethics: communicating wisely -- Digital diversity and democracy. (shrink)

The contribution starts from outlining the evolution of the scholarly production flow from the print based paradigm to the digital age and in this context it explores the opposition of digital versus analog representation modes. It then develops on the triple paradigm shift caused by genuine digital publishing and its specific consequences for the social sciences and humanities (SSH) which in turn results in re-constituting basic scholarly notions such as ‘text’ and ‘document’. The paper concludes with (...) discussing the specific value that could be added in systematically using digital text resources as a basis for scholarly work and also states some of the necessary conditions for such a ‘digital turn’ to be successful in the SSH. (shrink)

Image in the Making examines the ways in which digital technology changes our understanding of and engagement with the visual arts. At the current stage of development in digital technology, we cannot always tell, just by looking, that an image was made with digital - versus analog - tools. But a case can be made for fully appreciating an image only in terms of its underlying digital structure and technology.

Digital technology is rapidly transforming human life. But our cognition is honed for an analog world. I call this the problem of digital whiplash: that the digital transformation of society, like a vehicle whose sudden acceleration injures its occupants, is too fast to be safe. I focus on the unprecedented phenomenon of digital surveillance, which I argue poses a long-term threat to human autonomy that our cognition is ill-suited to recognize or respond to. Human cognition (...) is embodied and context-sensitive, and thus faces four problems of digital whiplash vis-à-vis digital surveillance. First is the problem of signal sparsity, that there are few if any perceptible indications of digital surveillance. Second is the problem of signal elusiveness, that the few indications there are prohibitively difficult to discover. Third is the distraction problem, that using digital technologies corrodes the cognitive abilities we need to recognize and respond to digital surveillance. Fourth is the hooking problem, that digital technologies are engineered to cultivate dependency. I address, among other objections, the idea that we choose to exchange our privacy for the use of digital technologies, so their use is in fact an expression of autonomy. The response to digital whiplash, I argue, is not to slow down the digitalization of society in its current form so that we can adapt our cognitive capacities. It is to allow ourselves the time to reflect on and debate whether digitalization, in its current form, is delivering a socially and ethically desirable future. (shrink)

Cognition is commonly taken to be computational manipulation of representations. These representations are assumed to be digital, but it is not usually specified what that means and what relevance it has for the theory. I propose a specification for being a digital state in a digital system, especially a digital computational system. The specification shows that identification of digital states requires functional directedness, either for someone or for the system of which it is a part. (...) In the case or digital representations, to be a token of a representational type, where the function of the type is to represent. [An earlier version of this paper was discussed in the web-conference "Interdisciplines" https://web.archive.org/web/20100221125700/http://www.interdisciplines.org/adaptation/papers/7 ]. (shrink)

There is much discussion about whether the human mind is a computer, whether the human brain could be emulated on a computer, and whether at all physical entities are computers (pancomputationalism). These discussions, and others, require criteria for what is digital. I propose that a state is digital if and only if it is a token of a type that serves a particular function - typically a representational function for the system. This proposal is made on a syntactic (...) level, assuming three levels of description (physical, syntactic, semantic). It suggests that being digital is a matter of discovery or rather a matter of how we wish to describe the world, if a functional description can be assumed. Given the criterion provided and the necessary empirical research, we should be in a position to decide on a given system (e.g. the human brain) whether it is a digital system and can thus be reproduced in a different digital system (since digital systems allow multiple realization). (shrink)

Abstract:Artificial intelligence is profoundly transforming the world in various spheres and already finding its way into educational institutions. This essay aims to examine whether the Deweyan ideal of education can be achieved through such digital means. By analyzing how both the aims and means of education, as defined by Dewey, can be understood in the context of learning with artificial intelligence, the inherent differences of both educational approaches are brought out. It becomes apparent that important concepts that characterize successful (...) education for Dewey, such as intrinsic inquiry, experience-based schooling, and thinking as the method for learning, do not go hand in hand with intelligent teaching systems. (shrink)

Focused on the field of knowledge lying between digital and analog circuit theory, this new text will help engineers working with digital systems shorten their product development cycles and help fix their latest design problems. The scope of the material covered includes signal reflection, crosstalk, and noise problems which occur in high speed digital machines (above 10 megahertz). This volume will be of practical use to digital logic designers, staff and senior communications scientists, and all (...) those interested in digital design. (shrink)

We begin by distinguishing computationalism from a number of other theses that are sometimes conflated with it. We also distinguish between several important kinds of computation: computation in a generic sense, digital computation, and analog computation. Then, we defend a weak version of computationalism—neural processes are computations in the generic sense. After that, we reject on empirical grounds the common assimilation of neural computation to either analog or digital computation, concluding that neural computation is sui generis. (...) Analog computation requires continuous signals; digital computation requires strings of digits. But current neuroscientific evidence indicates that typical neural signals, such as spike trains, are graded like continuous signals but are constituted by discrete functional elements (spikes); thus, typical neural signals are neither continuous signals nor strings of digits. It follows that neural computation is sui generis. Finally, we highlight three important consequences of a proper understanding of neural computation for the theory of cognition. First, understanding neural computation requires a specially designed mathematical theory (or theories) rather than the mathematical theories of analog or digital computation. Second, several popular views about neural computation turn out to be incorrect. Third, computational theories of cognition that rely on non-neural notions of computation ought to be replaced or reinterpreted in terms of neural computation. (shrink)

Information Theory, Evolution and The Origin ofLife: The Origin and Evolution of Life as a Digital Message: How Life Resembles a Computer, Second Edition. Hu- bert P. Yockey, 2005, Cambridge University Press, Cambridge: 400 pages, index; hardcover, US $60.00; ISBN: 0-521-80293-8. The reason that there are principles of biology that cannot be derived from the laws of physics and chemistry lies simply in the fact that the genetic information content of the genome for constructing even the simplest organisms is (...) much larger than the information content of these laws. Yockey in his previous book (1992, 335) In this new book, Information Theory, Evolution and The Origin ofLife, Hubert Yockey points out that the digital, segregated, and linear character of the genetic information system has a fundamental significance. If inheritance would blend and not segregate, Darwinian evolution would not occur. If inheritance would be analog, instead of digital, evolution would be also impossible, because it would be impossible to remove the effect of noise. In this way, life is guided by information, and so information is a central concept in molecular biology. The author presents a picture of how the main concepts of the genetic code were developed. He was able to show that despite Francis Crick's belief that the Central Dogma is only a hypothesis, the Central Dogma of Francis Crick is a mathematical consequence of the redundant nature of the genetic code. The redundancy arises from the fact that the DNA and mRNA alphabet is formed by triplets of 4 nucleotides, and so the number of letters (triplets) is 64, whereas the proteome alphabet has only 20 letters (20 amino acids), and so the translation from the larger alphabet to the smaller one is necessarily redundant. Except for Tryptohan and Methionine, all amino acids are coded by more than one triplet, therefore, it is undecidable which source code letter was actually sent from mRNA. This proof has a corollary telling that there are no such mathematical constraints for protein-protein communication. With this clarification, Yockey contributes to diminishing the widespread confusion related to such a central concept like the Central Dogma. Thus the Central Dogma prohibits the origin of life "proteins first." Proteins can not be generated by "self-organization." Understanding this property of the Central Dogma will have a serious impact on research on the origin of life. (shrink)

One of the most important objections to information-based semantic theories is that they are incapable of explaining Frege cases. The worry is that if a concept’s intentional content is a function of its informational content, as such theories propose, then it would appear that coreferring expressions have to be synonymous, and if this is true, it’s difficult to see how an agent could believe that a is F without believing that b is F whenever a and b are identical. I (...) argue that this appearance is deceptive. If we heed the distinction between the analog and digital contents of a signal, it is actually possible to reconstruct something akin to Frege’s sense/reference distinction in purely information-theoretic terms. This allows informational semanticists to treat coreferring expressions as semantically distinct and to solve Frege cases in the same way that Frege did—namely, by appealing to the different contents of coreferring expressions. (shrink)

Introduction. The digital : an aesthetic ontology -- From analog pictures to digital notations -- Points, divisions, and pixels : from modern to contemporary digitality -- Vasarely, Watz, and the new abstraction : from op art to generative art -- Spectral analogies : From wall drawing to the art of programming -- Conclusion. Amalgamations : from digital painting to information visualization.

In this paper I explore the production aesthetics that define the sound of most arranged traditional music albums produced in the early 2000s in Istanbul,Turkey. I will focus on two primary aesthetic characteristics, the achievement of which consume much of the labor put into tracking and mix- ing: parlak (“shine”) and büyük ses (“big sound”). Parlak, at its most basic, consists of a pronounced high frequency boost and a pattern of harmonic distortion characteristics,and is often described by studio musicians and (...) engineers in Turkey as an exaggeration of the perceived brightness of the majority of Anatolian folk instruments. Büyük ses, which in basic terms connotes a high density of heterogeneous musical parts,in contrast to parlak has no relation to any known longstanding Anatolian musical performing traditions or timbral aesthetics, and is a recent development in Istanbul-produced record- ings.Parlak and büyük ses became widespread after 2000,accompanying the paradigm shift of Istanbul studios from analog to digital workflows. Parlak and büyük ses are of interest for reasons that transcend music-aesthetics. The successful creation of mixes with parlak and büyük ses necessitates a palpable change in the performance practice of folk music instruments, as well a fundamental reconfiguration of the social structure of music-making, which in turn involves new musical competences and conceptualizations of musical practice. Parlak and büyük ses are not just a result of using a particular set of technologies (i.e., microphones or effects plugins), but instead arise from arduous and detailed arrangement and nonlinear editing work that is made feasible through DAW (digital audio workstation) systems. Although parlak and büyük ses index the transformation of traditional music aesthetics in the context of digital audio recording production, and their production is at the forefront of concerns of the professionals working in the recording studio environment, the terms are never mentioned in published music criticism, and only usually uttered in the studio context at the inception of a project and at the completion of a mix. Considerable preemptive work is done by studio musicians, engineers, and arrangers to avoid the need for the terms to be mentioned at all. (shrink)

The first part of this paper defends a 'two-factor' approach to mental representation by moving through various choice-points that map out the main peaks in the landscape of philosophical debate about representation. The choice-points considered are: (1) whether representations are conceptual or non-conceptual; (2) given that mental representation is conceptual, whether conscious perceptual representations are analog or digital; (3) given that the content of a representation is the concept it expresses, whether that content is individuated extensionally or intensionally; (...) (4) whether intensional contents are individuated by external or internal conditions; and (5) given that conceptual content is determined externally, whether the possession conditions for concepts are external or internal. The final part of the paper examines the relationship between representation and consciousness, arguing that any account of mental representation, though necessary for a complete account of consciousness, cannot be sufficient for it. (shrink)