A encyclopedia entry on the moral impacts that happen when information technologies are used to record, communicate and organize information. including the moral challenges of information technology, specific moral and cultural challenges such as online games, virtual worlds, malware, the technology transparency paradox, ethical issues in AI and robotics, and the acceleration of change in technologies. It concludes with a look at information technology as a model for moral change, moral systems and moral agents.

The Politics of Orientation provides the first substantial exploration of a surprising theoretical kinship and its rich political implications, between Gilles Deleuze's philosophy and the sociological systems theory of Niklas Luhmann. Through their shared theories of sense, Hannah Richter draws out how the works of Luhmann and Deleuze complement each other in creating worlds where chaos is the norm and order the unlikely and yet remarkably stable exception. From the encounter between Deleuze and Luhmann, Richter develops a novel take on (...) postfoundational ontology where subjects and societies unfold in self-productive relations of sense against a background of complexity. The Politics of Orientation breaks and rebuilds theoretical alliances by reading core concepts and thinkers of Continental Philosophy, from Leibniz to Whitehead and Marx, through this encounter. Most importantly, the book puts Luhmann and Deleuze to work to offer urgently needed insight into the rise of post-truth populism. In our complex democratic societies, Richter argues, orientation against complexity has become the ground of political power, privileging the simplistic narratives of the populist right. (shrink)

According to new mechanists, mechanisms explain how specific biological phenomena are produced. New mechanists have had little to say about how mechanisms relate to the organism in which they reside. A key feature of organisms, emphasized by the autonomy tradition, is that organisms maintain themselves. To do this, they rely on mechanisms. But mechanisms must be controlled so that they produce the phenomena for which they are responsible when and in the manner needed by the organism. To account for how (...) they are controlled, we characterize mechanisms as sets of constraints on the flow of free energy. Some constraints are flexible and can be acted on by other mechanisms, control mechanisms, that utilize information procured from the organism and its environment to alter the flexible constraints in other mechanisms so that they produce phenomena appropriate to the circumstances. We further show that control mechanisms in living organisms are organized heterarchically—control is carried out primarily by local controllers that integrate information they acquire as well as that which they procure from other control mechanisms. The result is not a hierarchy of control but an integrated network of control mechanisms that has been crafted over the course of evolution. (shrink)

Cyberspeak, the language of cybernetics, or its metalanguage to be more precise, consists of words that are both explaining and describing human/animal and machine forms of control and communication, while in newspeak, words were value-laden, which means they had strong positive or negative connotations connected to their use. For example, a 'spy' could only be a foreign agent, while a Russian one was a 'patriot'. First, it will be shown how there are still remnants of cyberspeak in modern science, pinpointing (...) its cybernetic background and shaping our thoughts without us realizing they had any cybernetic origin whatsoever. Second, it will be investigated how newspeak, as its counterpart, can be analyzed from the theory of speech acts. Third, the current war in Ukraine allowed us a brief analysis of newspeak present in Russian public communication today (Putin's speeches), which will again be connected to their performative aspect. (shrink)

Current research on the origin of DNA and RNA, viruses, and mobile genetic elements prompts a re-evaluation of the origin and nature of genetic material as the driving force behind evolutionary novelty. While scholars used to think that novel features resulted from random genetic mutations of an individual’s specific genome, today we recognize the important role that acquired viruses and mobile genetic elements have played in introducing evolutionary novelty within the genomes of species. Viral infections and subviral RNAs can enter (...) the host genome and persist as genetic regulatory networks. Persistent viral infections are also important to understand the split between great apes and humans. Nearly all mammals and nonhuman primates rely on olfaction, i.e., chemoreception as the basis of the sense of smell for social recognition, group membership, and the coordination of organized social life. Humans, however, evolved other means to establish social bonding, because several infection waves by endogenous retroviruses caused a loss of odor receptors in human ancestors. The human independence from olfaction for social recognition was in turn one driver of the rather abrupt human transition to dependence on visual information, gesture production, and facial recognition that are at the roots of language-based communication. (shrink)

This article aims to show that fundamentality is construed differently in the two most prominent strategies of analysis we find in physical science and engineering today: (1) atomistic, reductive analysis and (2) Systems analysis. Correspondingly, atomism is the conception according to which the simplest (smallest) indivisible entity of a certain kind is most fundamental; while systemism, as will be articulated here, is the conception according to which the bonds that structure wholes are most fundamental, and scale and/or constituting entities are (...) of no significance whatsoever for fundamentality. Accordingly, atomists maintain that the basic entities—the atoms—are fundamental, and together with the “external” interactions among them, are sufficient for illuminating all the features and behaviors of the wholes they constitute; whereas systemists proclaim that it is instead structural qualities of systems, that flow from internal relations among their constituents and translate directly into behaviors, that are fundamental, and by themselves largely (if not entirely) sufficient for illuminating the features and behaviors of the wholes thereby structured. Systemism, as will be argued, is consistent with the nonexistence of a fundamental “level” of nondecomposable entities, just as it is consistent with the existence of such a level. Still, systemism is a conception of the fundamental in quite different, but still ontological terms. Systemism can serve the special sciences—the social sciences especially—better than the conception of fundamentality in terms of atoms. Systemism is, in fact, a conception of fundamentality that has rather different uses—and importantly, different resonances. This conception of fundamentality makes contact with questions pertaining to natural kinds and their situation in the metaphysics of the special sciences—their situation within an order of autonomous sciences. The controversy over fundamentality is evident in the social sciences too, albeit somewhat imperfectly, in the terms of debate between methodological individualists and functionalists/holists. This article will thus clarify the difference between systemism and holism. (shrink)

Throughout most of the 20th century, analytical and reductionist approaches have dominated in biological, social, and humanistic sciences, including linguistics and communication. We generally believed we could account for fundamental phenomena in invoking basic elemental units. Although the amount of knowledge generated was certainly impressive, we have also seen limitations of this approach. Discovering the sound formants of human languages, for example, has allowed us to know vital aspects of the ‘material’ plane of verbal codes, but it tells us little (...) about significant aspects of their social functions. I firmly believe, therefore, that alongside a linguistics that looks ‘inward’ there should also be a linguistics that looks ‘outward’, or one even that is constructed ‘from the outside’, a linguistics that I refer to elsewhere as ‘holistic’ though it could be identified by a different name. My current vision is to promote simultaneously the perspective that goes from the part to the whole and that which goes from the whole to the parts, i.e., both from the top down and from the bottom up. This goal is shared with other disciplines which recognize that many phenomena related to life are interwoven, self-organising, emergent and processual. Thus, we need to re-examine how we have conceived of reality, both the way we have looked at it and the images we have used to talk about it. Several approaches now grouped under the label of complexity have been elaborated towards this objective of finding new concepts and ways of thinking that better fit the complex organisation of facts and events. (shrink)

Based on Kolchinsky and Wolpert’s work on the semantics of autonomous agents, I propose an application of Mathematical Logic and Probability to model cognitive processes. In this work, I will follow Bateson’s insights on the hierarchy of learning in complex organisms and formalize his idea of applying Russell’s Type Theory. Following Weaver’s three levels for the communication problem, I link the Kolchinsky–Wolpert model to Bateson’s insights, and I reach a semantic and conceptual hierarchy in living systems as an explicative model (...) of some adaptive constraints. Due to the generality of Kolchinsky and Wolpert’s hypotheses, I highlight some fundamental gaps between the results in current Artificial Intelligence and the semantic structures in human beings. In light of the consequences of my model, I conclude the paper by proposing a general definition of knowledge in probabilistic terms, overturning de Finetti’s Subjectivist Definition of Probability. (shrink)

This chapter describes the conceptual foundations of cognitive science during its establishment as a science in the 20th century. It is organized around the core ideas of individual agency as its basic explanans and information-processing as its basic explanandum. The latter consists of a package of ideas that provide a mathematico-engineering framework for the philosophical theory of materialism.

Complexity theory attempts to explain, at the most general possible level, the interesting behaviors of complex systems. Two such behaviors are the emergence of simple or stable high-level behavior from relatively complex low-level behavior, and the emergence of sophisticated high-level behavior from relatively simple low-level behavior; they are often found nested in the same system. Concerning the emergence of simplicity, this essay examines Herbert Simon's explanation from near-decomposability and a stochastic explanation that generalizes the approach of statistical physics. A more (...) general notion of an abstract difference-making structure is introduced with examples, and a discussion of evolvability follows. Concerning the emergence of sophistication, this essay focuses on, first, the energetics approach associated with dissipative structures and the fourth law of thermodynamics, and second, the notion of a complex adaptive system. (shrink)

Accounts of mechanistic explanation have emphasized the importance of looking down—decomposing a mechanism into its parts and operations. Using research on visual processing as an exemplar, I illustrate how productive such research has been. But once multiple components of a mechanism have been identified, researchers also need to figure out how it is organized—they must look around and determine how to recompose the mechanism. Although researchers often begin by trying to recompose the mechanism in terms of sequential operations, they frequently (...) find that the components of a mechanism interact in complex ways involving positive and negative feedback and that the organization often exhibits highly interactive local networks linked by a few long-range connections (small-worlds organization) and power law distributions of connections. The mechanisms are themselves active systems that are perturbed by inputs but not set in motion by them. Researchers also need to look up —situate a mechanism in its context, which may be a larger mechanism that modulates its behavior. When looking down is combined with looking around and up, mechanistic research results in an integrated, multi-level perspective. (shrink)

The grammatical manipulation and production of language is a great deceiver. We have become habituated to accept the use of well-constructed language to indicate intelligence, understanding and, consequently, intention, whether conscious or unconscious. But we are not always right to do so, and certainly not in the case of large language models (LLMs) like ChapGPT, GPT-4, LLaMA, and Google Bard. This is a perennial problem, but when one understands why it occurs, it ceases to be surprising that it so stubbornly (...) persists. This paper will have three main sections. In the Introduction I will say a little about language, its aetiology, and useful sub-divisions into natural and cultural. In the second section I will explain the current situation with regard to large language models and fill in the background debates which set the problem up as one of increased complexity rather than one of a qualitatively different kind from narrow or specific AI. In the third section I will present the case for the missing phenomenological background and why it is necessary for the co-creation of shared meaning in both natural and cultural language, and I will conclude this section by presenting a rationale for why this situation arises and will continue to arise. Before we do any of this, I need to clarify one point: I do not wish to challenge the ascription of artificial general intelligence (AGI) to LLMs, indeed I think agnosticism is best in this respect, but I do challenge the more serious, and erroneous, ascription of understanding, intention, reason, and consciousness to them. And so, I am making two points: an epistemological one about why we fall into error in our ascription of a mental life to LLMs, and an ontological one about the impossibility of LLMs being or becoming conscious. (shrink)

Ranging from Alan Turing’s seminal 1936 paper to the latest work on Kolmogorov complexity and linear logic, this comprehensive new work clarifies the relationship between computability on the one hand and constructivity on the other. The authors argue that even though constructivists have largely shed Brouwer’s solipsistic attitude to logic, there remain points of disagreement to this day. Focusing on the growing pains computability experienced as it was forced to address the demands of rapidly expanding applications, the content maps the (...) developments following Turing’s ground-breaking linkage of computation and the machine, the resulting birth of complexity theory, the innovations of Kolmogorov complexity and resolving the dissonances between proof theoretical semantics and canonical proof feasibility. Finally, it explores one of the most fundamental questions concerning the interface between constructivity and computability: whether the theory of recursive functions is needed for a rigorous development of constructive mathematics. This volume contributes to the unity of science by overcoming disunities rather than offering an overarching framework. It posits that computability’s adoption of a classical, ontological point of view kept these imperatives separated. In studying the relationship between the two, it is a vital step forward in overcoming the disagreements and misunderstandings which stand in the way of a unifying view of logic. (shrink)

-/- Shitstorms, Hate Speech oder virale Videos, die zum Klicken, Liken, Teilen bewegen: Die vernetzte Gesellschaft ist von Affekten getrieben und bringt selbst ganz neue Affekte hervor. -/- Die Beiträge des Bandes nehmen die medientechnologischen Entwicklungen unserer Zeit in den Blick und untersuchen sie aus der Perspektive einer kritischen Affekt- und Sozialphilosophie. Sie zeigen: Soziale Medien und digitale Plattformen sind nicht nur Räume des Austauschs, sie erschaffen Affektökonomien – und darin liegt auch ihre Macht. Indem sie neue Formen des sozialen (...) Umgangs stiften und bestimmen, wie wir kommunizieren, verschieben sie auch die politische Topographie. -/- Mit einem Beitrag von Antonio Negri. (shrink)

The present volume is the fifth in the series of yearbooks with the title Globalistics and Globalization Studies. The subtitle of the present volume is Global Transformations and Global Future. We become more and more accustomed to think globally and to see global processes. And our future can all means be global. However, is this statement justified? Indeed, in recent years, many have begun to claim that globalization has stalled, that we are rather dealing with the process of anti-globalization. Will (...) not we find ourselves at some point again in an edifice spanning across the globe, but divided into national apartments, separated by walls of high tariffs and mutual suspicion? Of course, some setbacks are always possible, because the process of globalization cannot develop smoothly. It is a process which is itself emerging from contradictions and is shaped by a new contradiction. They often go much further than underlying systemic changes allow. They break forward, as the vanguard of a victorious army, and then often meet resistance of various social and political forces and may suddenly start to roll back just at the moment when everyone expects their further offensive. We believe that this is what is happening with globalization at present. The yearbook will be interesting to a wide range of researchers, teachers, students and all those who are concerned about global issues. (shrink)

The monograph presents the ideas about the main changes that occurred in the development of technologies from the emergence of Homo sapiens till present time and outlines the prospects of their development in the next 30–60 years and in some respect until the end of the twenty-first century. What determines the transition of a society from one level of development to another? One of the most fundamental causes is the global technological transformations. Among all major technological breakthroughs in history the (...) most important are three production revolutions: 1) the Agrarian Revolution; 2) the Industrial Revolution; and 3) the Cybernetic one. The book introduces the theory of production revolutions which is a new valuable explanatory paradigm that analyzes causes and trends of dramatic shifts in historical process. The authors describe the course of technological transformations in history and demonstrate a possible application of the theory to explain the present and forthcoming technological changes. They analyze the technological shifts which took place in the second half of the twentieth and early twenty-first centuries and forecast the main shifts in the next half a century. On this basis the authors present a detailed analysis of the latest production revolution which is denoted as ‘Сybernetic’. They make some predictions about its development in the nearest five decades and up to the end of the twenty-first century and show that the development of various self-regulating systems will be the main trend of this revolution. The authors argue that the transition to the starting final phase of the Cybernetic Revolution (in the 2030–2040s) will first occur in the field of medicine (in some its innovative branches). In future we will deal with the started convergence of innovative technologies which will form the system of MANBRIC-technologies (i.e. the technological paradigm based on medicine, additive, nano- and bio- technologies, robotics, IT and cognitive technologies). The monograph gives an outline of the future breakthroughs in medicine and some other technologies (between the 2010s and 2070s). (shrink)

This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifi cally the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfi lms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this (...) publication does not imply, even in the absence of a specifi c statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. (shrink)

The goal of this work is to explain a novel information paradigm claiming that all information results from a process, intrinsic to living beings, of self-production; a sensory commensurable, self-referential feedback process immanent to Bateson’s difference that makes a difference. To highlight and illustrate this fundamental process, a simulation based on one-parameter feedback is presented. It simulates a homeorhetic process, innate to organisms, illustrating a self-referenced, autonomous system. The illustrated recursive process is sufficiently generic to be the only basis for (...) information in nature: from the single cell, to multi-cellular organisms, to consideration of all types of natural and non-natural phenomena, including tools and artificial constructions. (shrink)

The concept of information has been extensively studied and written about, yet no consensus on a unified definition of information has to date been reached. This paper seeks to establish the basis for a unified definition of information. We claim a biosemiotics perspective, based on Gregory Bateson’s definition of information, provides a footing on which to build because the frame this provides has applicability to both the sciences and humanities. A key issue in reaching a unified definition of information is (...) the fundamental problem of identifying how a human organism, in a self-referential process, develops from a state in which its knowledge of the human-organism-in-its-environment is almost non-existent to a state in which the human organism not only recognizes the existence of the environment but also sees itself as part of the human-organism-in-its-environment system. This allows a human organism not only to self-referentially engage with the environment and navigate through it, but also to transform it in its own image and likeness. In other words, the Fundamental Problem of the Science of Information concerns the phylogenetic development process, as well as the ontogenetic development process of Homo sapiens sapiens from a single cell to our current multicellular selves, all in a changing long-term and short-term environment, respectively. (shrink)

This paper explores how adaptive creativity is continuously generated and sustained in living systems. The philosophical frame and motivations for this investigation will be introduced by juxtaposing an actual creative process with current cybernetic efforts to automate creativity. Past and present process philosophers that have critiqued the implicit commitments of these contemporary techniques will set the stage for further investigations. The litmus test of progress in this investigation will be measured against the extension of two concepts: virtuality, as introduced by (...) Gilbert Simondon (On the Mode of the Existence of Technical Objects), and relevant noise, as introduced by Bacigalupi (“Semiogenesis: A Dynamic System Approach to Agency and Structure”). To refine the concepts of virtuality and relevant noise for our purposes, a rigorous theoretical model will be proposed whose intent is to explain veritable unbounded creativity. This model will then serve as a heuristic lens to explore additional extant models, such as the Kuramoto model (Strogatz), that are used to explain empirical observations of adaptive and creative behaviors in a diversity of biological phenomena. Based on these models of biological creativity and the critique of the contemporary cybernetic project, this paper will conclude by outlining the ethical implications of our culture’s current commitments to a cybernetic world view and how we might evolve beyond it. (shrink)

The first part of the book offers a hypothetical answer to the following questions: What is intelligent behaviour? What is information? How does the intelligent subject extract energy and information from the external environment? What are the mental states? How do the mental states occur? Despite the immense diversity of disciplines, topics and issues relating to the structure and the dynamics of the nervous system, of human consciousness, of intelligence in a synchronous and evolutionary perspective, two main philosophical and theoretical (...) ideologemes stand out in the neurosciences of today: the computational and the holonomic one. They are presented in the second part of the investigation. The third part is entirely focused on the semiotic approach to the study of intelligence. Particular attention is paid to the issue of the missing link between natural causality and intelligent behaviour, to which it offers a particular reply. The fourth part is itself a summary in the perspective of the conclusions of the previous parts. (shrink)

To me a painted paroquet Hath been – a most familiar bird– Taught me my alphabet to say– To lisp my very earliest word. Edgar Allan Poe, “Romance,” Poetry and Tales 53 Logographical necessity (ana...

Name der Zeitschrift: Semiotica Jahrgang: 2015 Heft: 207 Seiten: 327-368.

Information is a sequence of signals arranged in accordance with a certain method. In the practice of social language communication, this sequence of signals should also have meaning.

The information age can be dated to the work of Norbert Wiener and Claude Shannon in the 1940s. Their work on cybernetics and information theory, and many subsequent developments, had a profound influence on reshaping the field of psychology from what it was prior to the 1950s. Contemporaneously, advances also occurred in experimental design and inferential statistical testing stemming from the work of Ronald Fisher, Jerzy Neyman, and Egon Pearson. These interdisciplinary advances from outside of psychology provided the conceptual and (...) methodological tools for what is often called the cognitive revolution but is more accurately described as the information-processing revolution. Cybernetics set the stage with the idea that everything ranging from neurophysiological mechanisms to societal activities can be modeled as structured control systems with feedforward and feedback loops. Information theory offered a way to quantify entropy and information, and promoted theorizing in terms of information flow. Statistical theory provided means for making scientific inferences from the results of controlled experiments and for conceptualizing human decision making. With those three pillars, a cognitive psychology adapted to the information age evolved. The growth of technology in the information age has resulted in human lives being increasingly interweaved with the cyber environment, making cognitive psychology an essential part of interdisciplinary research on such interweaving. Continued engagement in interdisciplinary research at the forefront of technology development provides a chance for psychologists not only to refine their theories but also to play a major role in the advent of a new age of science. (shrink)

The concept of information tempts us as a theoretical primitive, partly because of the respectability lent to it by highly successful applications of Shannon’s information theory, partly because of its broad range of applicability in various domains, partly because of its neutrality with respect to what basic sorts of things there are. This versatility, however, is the very reason why information cannot be the theoretical primitive we might like it to be. “Information,” as it is variously used, is systematically ambiguous (...) between whether it involves continuous or discrete quantities, causal or noncausal relationships, and intrinsic or relational properties. Many uses can be firmly grounded in existing theory, however. Continuous quantities of information involving probabilities can be related to information theory proper. Information defined relative to systems of rules or conventions can be understood relative to the theory of meaning . A number of causal notions may possibly be located relative to standard notions in physics. Precise specification of these distinct properties involved in the common notion of information can allow us to map the relationships between them. Consequently, while information is not in itself the kind of single thing that can play a significant unifying role, analyzing its ambiguities may facilitate headway toward that goal. (shrink)

Digital technologies are frequently considered as lacking material aspects. Today, it is evident that behind digital technologies lies a huge and complex material infrastructure in the form of fiber optic cables, servers, satellites, and screens. Postphenomenology has theorized the relations to material things as embodiment relations. Taking into account that technologies can also have hermeneutic aspects, this theory defines hermeneutic relations as those in which we read the world through technologies. The article opens with a review of some theoretical developments (...) to hermeneutic relations with a special focus on digital technologies. The article suggests that in the digital world, material hermeneutics needs to be updated as it shifts from a scientific to an everyday technological context. Now, technologies not only “give voice” to things, they also produce new meanings to informational structures and direct users to certain meanings. When it comes to digital technologies, especially those involving artificial intelligence (AI), the technology actively mediates the world. In postphenomenological terms, it possesses a technological intentionality. The postphenomenological formula should be updated to reflect this type of technological intentionality, by reversing the arrow of intentionality so that it points to the user, rather than from the user. (shrink)

Digital technologies are frequently considered as lacking material aspects. Today, it is evident that behind digital technologies lies a huge and complex material infrastructure in the form of fiber optic cables, servers, satellites, and screens. Postphenomenology has theorized the relations to material things as embodiment relations. Taking into account that technologies can also have hermeneutic aspects, this theory defines hermeneutic relations as those in which we read the world through technologies. The article opens with a review of some theoretical developments (...) to hermeneutic relations with a special focus on digital technologies. The article suggests that in the digital world, material hermeneutics needs to be updated as it shifts from a scientific to an everyday technological context. Now, technologies not only “give voice” to things, they also produce new meanings to informational structures and direct users to certain meanings. When it comes to digital technologies, especially those involving artificial intelligence (AI), the technology actively mediates the world. In postphenomenological terms, it possesses a technological intentionality. The postphenomenological formula should be updated to reflect this type of technological intentionality, by reversing the arrow of intentionality so that it points to the user, rather than from the user. (shrink)

How should biological behaviour be modelled? A relatively new approach is to investigate problems in neuroethology by building physical robot models of biological sensorimotor systems. The explication and justification of this approach are here placed within a framework for describing and comparing models in the behavioural and biological sciences. First, simulation models – the representation of a hypothesis about a target system – are distinguished from several other relationships also termed “modelling” in discussions of scientific explanation. Seven dimensions on which (...) simulation models can differ are defined and distinctions between them discussed: 1. Relevance: whether the model tests and generates hypotheses applicable to biology. 2. Level: the elemental units of the model in the hierarchy from atoms to societies. 3. Generality: the range of biological systems the model can represent. 4. Abstraction: the complexity, relative to the target, or amount of detail included in the model. 5. Structural accuracy: how well the model represents the actual mechanisms underlying the behaviour. 6. Performance match: to what extent the model behaviour matches the target behaviour. 7. Medium: the physical basis by which the model is implemented. No specific position in the space of models thus defined is the only correct one, but a good modelling methodology should be explicit about its position and the justification for that position. It is argued that in building robot models biological relevance is more effective than loose biological inspiration; multiple levels can be integrated; that generality cannot be assumed but might emerge from studying specific instances; abstraction is better done by simplification than idealisation; accuracy can be approached through iterations of complete systems; that the model should be able to match and predict target behaviour; and that a physical medium can have significant advantages. These arguments reflect the view that biological behaviour needs to be studied and modelled in context, that is, in terms of the real problems faced by real animals in real environments. Key Words: animal behaviour; levels; models; neuroethology; realism; robotics; simulation. (shrink)

From the middle of the twentieth‐century onwards, there has been a growing emphasis on the importance of relationality in what it means to be human, which we call a “relational turn.” This is found in various domains, including philosophical psychology, psychoanalysis, and theological anthropology. Many have seen a close connection between relationality and personhood. In the second half of the article, we consider the implications of this trend for artificial intelligence (AI) and robotics. So far, AI has largely neglected relational (...) intelligence, though that could perhaps be about to change. Cybernetics was rendered more open to assumptions about the contextuality of intelligence by its rather different assumptions from AI. Social robotics increasingly requires relational intelligence, and promising steps might be found in computational modeling of human relationships. Questions about whether robots can achieve personhood are difficult to resolve, though the possibility should not be ruled out. (shrink)

The adaptive BCI known as ‘closed-loop deep brain stimulation’ (clDBS) is a device that stimulates the brain in order to prevent pathological neural activity and automatically adjusts stimulation levels based on computational algorithms that detect or predict those pathological processes. One of the prominent ethical concerns raised by clDBS is that, by inhibiting or modulating the undesirable neural states of a cognitive agent automatically, the device potentially undermines her autonomy. It has been argued that clDBS is not a threat because (...) autonomy is fundamentally relational, i.e., it essentially depends on external (e.g., social or cultural) factors. If the relational approach to autonomy includes human-computer interaction, then the mechanisms of clDBS, even if external to the brain and exerting some degree of control over the individual, may support her autonomy. However, DBS applications are substantially different from one another, each involving a specific neurological or psychiatric condition, neural target, mechanism and symptom(s), and therefore at least some of them may not fit into the relational analysis. I examine different clDBS applications for treatment resistant depression and claim that while internal capsule/ventral striatum (VC/VS) clDBS is a case of relational autonomy, subgenual cingulate gyrus (Cg25) clDBS is not. Autonomy (relational or otherwise) requires some degree of self-regulation of our motivational states, which is supported by VC/VS DBS but is absent in Cg25 DBS. In Cg25 DBS the device itself directly influences motivational states, thus substituting or overriding (instead of supporting) the auto-regulatory cognitive processes required for autonomous action. (shrink)

The notion of feedback has been exploited with considerable success in scientific and technological fields as well as in the sciences of man and society. Its use in philosophical, cultural and educational contexts, however, is still rather meagre, even if some notable attempts can be found in the literature. This paper shows that the feedback concept can help learn and understand some classical philosophical theories. In particular, attention focuses on Fichte’s doctrine of science, usually presented in obscure terms following its (...) inventor’s style, and on the vulgate version of Hegel’s dialectic. Also a classic problem of linguistics concerning the meaning of sentences in partially unknown languages is interpreted with the aid of feedback diagrams. Even if the analysis is only qualitative, it is believed that it may serve as a useful tool for thought for both students and researchers. (shrink)

Philosophy already has a long history of coming to terms with artificial intelligence. But if the future of the concept is indeed inseparable from artificial languages and ubiquitous computing...

We are currently in the middle of the transformation from Martin Heidegger’s modern society to a society based on digital technology. In the developing digital society, humans in their current state of ‘Being’ are increasingly surrounded by systems that are networked and run based on algorithms, software, and data. These interconnected systems function, communicate, and interact in networks and driven by these algorithms, software, and data, which give them the ability to connect, calculate, and reveal. Jointly, these systems thus create (...) a new and actual reality based on their mathematical and scientific background. In the present-day digital society, humans’ actual ‘state of Being’ is increasingly framed by what the digital technology reveals to us and enables. The transition to this new digital reality conjures up more and more questions as to whether we as humans sufficiently understand the essence of digital technology and whether we as humanity have sufficient knowledge and insight to be able to analyze and fathom the essence of the new digital ecology around us. In this article, I will use Heideggerian phenomenology as a philosophy to create a framework that will allow us to, based on phenomenological research into our current ‘Dasein’ or ‘being there’, gain deeper insight into the ‘Being’ of digital technology and the ensuing development of a digital reality for humanity as a whole. (shrink)

Since the emergence of the innovative field of artificial intelligence in the 1960s, the late Hubert Dreyfus insisted on the ontological distinction between man and machine, human and artificial intelligence. In the different editions of his classic and influential book What computers can’t do, he posits that an algorithmic machine can never fully simulate the complex functioning of the human mind—not now, nor in the future. Dreyfus’ categorical distinctions between man and machine are still relevant today, but their relation has (...) become more complex in our increasingly data-driven society. We, humans, are continuously immersed within a technological universe, while at the same time ubiquitous computing, in the words of computer scientist Mark Weiser, “forces computers to live out here in the world with people” The cell phone reader. Peter Lang Publishing, New York, 2006, p 20). Dreyfus’ ideas are therefore challenged by thinkers such as Weiser, Kevin Kelly, Bruno Latour, Philip Agre, and Peter Paul Verbeek, who all argue that humans are much more intrinsically linked to machines than the original dichotomy suggests—they have evolved in concert. Through a discussion of the classical concepts of individuum and ‘authenticity’ within Western civilization, this paper argues that within the ever-expanding data-sphere of the twenty-first century, a new concept of man as ‘aggregate of data’ has emerged, which further erodes and undermines the categorical distinction between man and machine. This raises political and ethical questions beyond the confines of technology and artificial intelligence. Moreover, this seemingly never-ending debate on what computers should do provokes the philosophical necessity to once again define the concept of what it is to be ‘human.’. (shrink)

A blockchain can be considered a technological phenomenon that is made up of different interconnected and autonomous systems. Such systems are referred to here as cyber-physical systems: complex interconnections of cyber and physical components. When cyber-physical systems are interconnected, a new whole consisting of a system of systems is created by the autonomous systems and their intercommunication and interaction. In a blockchain, individual systems can independently make decisions on joint information transactions. The decision-making procedures needed for this are executed based (...) on fault-tolerant communication and voting and consensus procedures, while the results of these decision-making procedures are stored in distributed ledgers. Due to the intercommunication, interaction, and independent decision making by autonomous systems, the new whole of a blockchain is a complex entity. Complexity science rather than the usual reductionist scientific approach can help us better understand the behaviour of the new and continuously developing whole of a blockchain as a technological phenomenon. (shrink)

This paper addresses one of the fundamental problems of the philosophy of information: How does semantic information emerge within the underlying dynamics of the world?—the dynamical semantic information problem. It suggests that the canonical approach to semantic information that defines data before meaning and meaning before use is inadequate for pre-cognitive information media. Instead, we should follow a pragmatic approach to information where one defines the notion of information system as a special kind of purposeful system emerging within the underlying (...) dynamics of the world and define semantic information as the currency of the system. In this way, systems operating with semantic information can be viewed as patterns in the dynamics—semantic information is a dynamical system phenomenon of highly organized systems. In the simplest information systems, the syntax, semantics, and pragmatics of the information medium are co-defined. It proposes a new more general theory of information semantics that focuses on the interface role of the information states in the information system—the interface theory of meaning. Finally, with the new framework, it addresses the debate between weakly semantic and strongly semantic accounts of information, siding with the strongly semantic view because the pragmatic account developed here is a better generalization of it. (shrink)

The aim of this paper is an attempt to give an answer to the question what does it mean that a computational system is intelligent. We base on some theses that though debatable are commonly accepted. Intelligence is conceived as the ability of tractable solving of some problems that in general are not solvable by deterministic Turing Machine.

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)

In a recent paper, Paul Coates defends a sophisticated dispositional account which allegedly resolves the sceptical paradox developed by Kripke in his monograph on Wittgenstein's treatment of following a rule (Kripke, 1982). Coates' account appeals to a notion of 'homeostasis', unpacked as a subject's second-order disposition to maintain a consistent pattern of extended first-order dispositions regarding her linguistic behavior. This kind of account, Coates contends, provides a naturalistic model for the normativity of intentional properties and thus resolves Kripke's sceptical paradox. (...) In this paper I argue that Coates' second-order dispositional account cannot solve the sceptic's problems regarding meaning and normativity. My main contention is that in order for second-order dispositions to be able to effectively regulate the coordinated responses constitutive of first-order dispositions, those first order dispositions must be independently identifiable. Yet that's precisely what Kripke's sceptical argument calls into question. I shall also argue, in a more positive fashion, that Coates' own appeal to practical breakdowns may suggest a different —and more effective— response to the sceptic's concern. (shrink)

This article outlines a sociological agenda for the era of “tech,” a period when digital technologies have come to dominate our social lives. It argues that we should break “tech” down into two parts, the production side and the consumption side. The production side concerns the ways in which these technologies are made, the social actors involved on the design, financing, and production side, and the consumption side refers to the ways in which ordinary users make use of these technologies (...) and the ways in which their use is transforming everyday life. The article maintains that this is an area of research to which sociologists need to pay much greater attention if they are to understand the contemporary world satisfactorily. (shrink)

While recent studies have shed some light on the significance of the electrical activity of the nervous system, there has been no adequate explanation for the wave formation or synchronization of this electrical activity. Adrian sums up the problem. “The origin of the 10-a-second rhythm is still uncertain, though the evidence points to some widespread organization, probably involving the central masses as well as the cortex. There are abundant nervous connexions for coordinating the beat, and when the rhythm is well (...) developed it is possible to record impulse discharges in phase with it passing to and fro in the nerve fibers of the white matter below the cortex. But in some areas no impulse could be detected entering or leaving the cell layers, though the potential waves keep more or less in step with those elsewhere. There is no proof that the waves are kept in phase by some means which does not involve nervous signalling, for impulses in axons of small diameter might well be missed, but it is not altogether unlikely that the synchronization is due in part to a direct electrical influence of one group of nerve cells on another. Gerard and Libet have shown that synchronization can occur between the two halves of a frog's brain cut in two and then placed in contact, and more recently Arvanitaki has shown that individual nerve cells may influence one another if they are brought close together in a conducting medium. At all events there are many examples of synchronized rhythmic activity in large collections of nerve-or-muscle cells. In the optic ganglion of the water beetle, for instance, there may be both a slow rhythm when the eye is in darkness and a rapid one when the eye is exposed to a bright light. The change from a slow to a fast rhythm is curiously reminiscent of that in the cerebral cortex when a sensory stimulus abolishes the 10-a-second rhythm and substitutes one at 40–60 a second. Such resemblances in preparations of quite different structures may be quite fortuitous, but they make it difficult to resist the suggestion that the rhythms of the brain may be dependent on the general properties of cell masses rather than on any special anatomical arrangement of them. Whatever its origin, the 10-a-second rhythm of the cortex corresponds to the resting, drowsy, or inattentive state and there is no such uniform pulsation when the brain is alert.”. (shrink)