Philosophy of Information

Reflection Theory holds that our sensations reflect physical properties, whereas Empiricism believes that sense (data), presentations, and phenomena are the ultimate existence. Lenin adhered to Reflection Theory and criticized Helmholtz’s sensory symbolism for affirming the similarity between a sensation and a physical property. By using information and color vision theories, analyzing the ostensive definition with inverted qualia, and extending the relativity principle, this paper affirms the external world’s existence independent of personal sensations. Still, it denies the similarity between a sense (...) and a physical property. Then, it improves symbolism to analog symbolism and Reflection Theory to Information Reflection Theory. (shrink)

This paper aims to provide a general phenomenological framework for the study of digital experiences as technological praxis. This approach is built through a synthesis of the categories proper to different currents of thought such as Merleau-Ponty's bodily phenomenology, the postphenomenology of Don Ihde and his school, hermeneutics and information theories. These notes develop a progressive analysis of the phenomenal dimensions that take place in the user-device interaction, from the stimulus base to virtual recreations. Through the intersubjective relationship with the (...) machine, integrated to the user, the user produces and consumes the informative material that will become successive digital representations of himself and of reality as a whole. (shrink)

This encyclopedia entry provides an introductory examination information communication technology (ICT) as a subject of moral, social, and legal analysis. The entry begins with a survey of philosophical perspectives on human-computer interaction such as the moral agency of artifacts, mediation theory, trans or posthumanism, and extension theory. The entry then turns to survey normative and epistemic issues in ICT including the nature of socially disruptive technology, the outsourcing of human capabilities, privacy, echo chambers, epistemic bubbles, and the effect of ICTs (...) on moral virtue and attention. (shrink)

In everyday life, as well as in science, we have to deal with and act on the basis of partial (i.e. incomplete, uncertain, or even inconsistent) information. This observation is the source of a broad research activity from which a number of competing approaches have arisen. There is some disagreement concerning the way in which partial or full ignorance is and should be handled. The most successful approaches include both quantitative aspects (by means of probability theory) and qualitative aspect (by (...) means of graphical or causal models or logic). Some of these approaches have important impacts on various disciplines including philosophy, computer science, statistics, mathematics, physics, and social science. Most notably, the relation between causal and probabilistic information is a topic of interest in all of these fields. (shrink)

This review essay analyzes the book by Giuseppe Primiero, On the foundations of computing. Oxford: Oxford University Press (ISBN 978-0-19-883564-6/hbk; 978-0-19-883565-3/pbk). xix, 296 p. (2020). It gives a critical view from the perspective of physical computing as a foundation of computing and argues that the neglected pillar of material computation (Stepney) should be brought centerstage and computing recognized as the fourth great domain of science (Denning).

The human lives in two universes. One inside. The other outside. One completely abstract. The other concrete. Telling all of us something important about Nature and ‘reality.’.

A prominent response is that Cartesian skepticism is too Cartesian. It arises from outmoded views in epistemology and the philosophy of mind that we now properly reject. We can and should move on to other things. §2 takes up three broadly Cartesian themes: the epistemic priority of experience, under-determination, and the representative theory of perception. I challenge some common assumptions about these, and their connection to skepticism. §3 shows how skeptical arguments that emphasize causal considerations can avoid some suspect Cartesian (...) commitments. §4 explores the related idea that perceptual knowledge is what I call instrumental knowledge. Drawing on that connection, §5 examines a skeptical argument based on minimal assumptions, and explains why a Moorean response to it is unsatisfactory. The problem of skepticism is still with us, and it requires a substantive solution. (shrink)

I propose the notion of ‘epistemic sanity’, a property of parsimony between the holding of true but not false beliefs and the consideration of our cognitive limitations. Where ‘alethic value’ is the epistemic value of holding true but not false beliefs, the ‘alethic potential’ of an agent is the amount of extra alethic value that she is expected to achieve, given her current environment, beliefs, and reasoning skills. Epistemic sanity would be related to the holding of (true or false) beliefs (...) that increase the agent's alethic potential (relevant beliefs) but not of beliefs that decrease it (this is related to cognitive parsimony). Suspension of judgment, forgetting, and clutter avoidance are the main contributors to an agent's epistemic sanity, where this paper focuses on suspension. I argue that rational suspension favors the holding of true and relevant beliefs, which is not the case for the extremes of opinionation (no suspension) and skepticism (general suspension). In the absence of evidence, opinionated agents are often forced to rely on principles such as the principle of indifference, but suspension dominates indifference in terms of alethic value in some conditions. A rational agent would only find it beneficial to adopt skepticism if she considers herself to be an anti-expert about her entire agenda, but then ‘flipping’ beliefs maximizes expected alethic value in relation to skepticism. The study of epistemic sanity results in an ‘impure’ veritism, which can deal with some limitations of veritism (e.g., explaining the existence of false but relevant beliefs). (shrink)

V tejto stati je najprv predstavená filozofia informácie (FI) a demarkácia jej predmetu v metodologicky ucelenej forme, to nadviazaním na koncepciu FI L. Floridiho. V porovnaní s jeho návrhom je vyčlenený i predmet metafilozofie informácie, a takisto je ujasnené aj označenie,,filozofie prima“. Floridi tvrdí, že jeho koncepcia FI ho môže voči iným filozickým disciplínam nadobudnúť. Problém chápania FI ako filozofie prima sa však ani po dvadsiatich rokoch od jeho uvedenia výraznejšej priamej reflexie nedočkal. V tejto štúdii je zodpovedaná otázka, či (...) je tento problém stále otvoreným problémom FI a ak áno, v akom zmysle. Je obhajovaná téza, že problém chápania FI ako filozofie primaje otvoreným problémom metafilozofie informácie, pričom vzhľadom na výsledky práce v FI sú identifikované niektoré oblasti, relatívne ku ktorým v súčasnosti môžeme, nemôžeme a nedokážeme FI označiť ako prima. (shrink)

Our culture is dominated by digital documents in ways that are easy to overlook. These documents have changed our worldviews about science and have raised our expectations of them as tools for knowledge justification. This article explores the complexities surrounding the digital document by revisiting Michael Polanyi’s theory of tacit knowledge—the idea that “we can know more than we can tell.” The theory presents to us a dilemma: if we can know more than we can tell, then this means that (...) the communication of science via the document as a primary form of telling will always be incomplete. This dilemma presents significant challenges to the open science movement. (shrink)

This paper proposes a conceptual framework for evaluating how social networking platforms fare as epistemic environments for human users. I begin by proposing a situated concept of epistemic agency as fundamental for evaluating epistemic environments. Next, I show that algorithmic personalisation of information makes social networking platforms problematic for users’ epistemic agency because these platforms do not allow users to adapt their behaviour sufficiently. Using the tracing principle inspired by the ethics of self-driving cars, I operationalise it here and identify (...) three requirements that automated epistemic environments need to fulfil: (a) the users need to be afforded a range of skilled actions; (b) users need to be sensitive to the possibility to use their skills; (c) the habits built when adapting to the platform should not undermine the user’s pre-existing skills. I then argue that these requirements are almost impossible to fulfil all at the same time on current SN platforms; yet nevertheless, we need to pay attention to these whenever we evaluate an epistemic environment with automatic features. Finally, as an illustration, I show how Twitter, a popular social networking platform, will fare regarding these requirements. (shrink)

It’s all about ‘The Singularity’… (Self-Referential Recursion)….

Information, and, thus, technology (any and every system and-or discipline), depends upon the tokenization (and, thus, the conservation) of a circle (one zero and one one) (one circumference and one diameter). Explaining the human mind, the ‘abstract object,’ and the cryptic universe. Where any (and every) ‘universe’ (think: unit) is totally dependent on the circular-linear relationship between abstract and concrete reality (which is fully accessible (and, thus, only, understandable)) via the Circular Theory diagram (a cryptic, concrete, fully tokenized, abstraction) (for (...) an uber-simple circle). (shrink)

There is a conserved circular-linear relationship between an individual and a group (a part and a whole) (half and whole) (whole and half). Explaining mereology and producing the 'singularity' (a universal theory of everything, all disciplines) (which may be impossible for humans to accept).

Why Mathematics Can Never ‘Explain’ Reality: Well, for one thing, as everybody knows, there is no ‘Reality.’ All symbolic systems require the conservation of a circle, which is the core, and, thus, the only, dynamic in Nature. It is not possible to have X without Y (X without one other X) because it is not possible to have a circumference (a zero) without a diameter (a one). So, this proves the token for 'tokenization' that is necessary for general relativity (more (...) technically, universal relativity) (what humans call 'reality') requires duplication (which is, technically, another word for negation). This explains why identity is another word for 'representation' and, always, vice versa. Where everything in Nature is a token for (what humans know as) the arithmetic number 'two.' (Because it is impossible to have a half without a whole, and, again, always, vice versa.) Technically, negating all of the 'numbers' (all of the symbolic representations) humans assume are 'realities' in Nature. (shrink)

General ontology is a prominent theoretical foundation for information technology analysis, design, and development. Ontology is a branch of philosophy which studies what exists in reality. A widely used ontology in information systems, especially for conceptual modeling, is the BWW (Bunge–Wand–Weber), which is based on ideas of the philosopher and physicist Mario Bunge, as synthesized by Wand and Weber. The ontology was founded on an early subset of Bunge’s philosophy; however, many of Bunge’s ideas have evolved since then. An important (...) question, therefore, is: do the more recent ideas expressed by Bunge call for a new ontology? In this paper, we conduct an analysis of Bunge’s earlier and more recent works to address this question. We present a new ontology based on Bunge’s later and broader works, which we refer to as Bunge’s Systemist Ontology (BSO). We then compare BSO to the constructs of BWW. The comparison reveals both considerable overlap between BSO and BWW, as well as substantial differences. From this comparison and the initial exposition of BSO, we provide suggestions for further ontology studies and identify research questions that could provide a fruitful agenda for future scholarship in conceptual modeling and other areas of information technology. (shrink)

Circular Thinking is essential (required) in order to understand ‘reality’ (Nature in general)… including the relationship between mind and matter (abstraction and representation).

A thought is not possible without the conservation of a circle. Thus, the representation of a thought is, also, not possible without (the conservation of) a circle.

Peter Fosl's new monograph offers a bold reading of Hume as a "radical," "coherent," and "hybrid" skeptic, who draws influence from both the Pyrrhonian and Academic skeptical traditions. I press some concerns about whether Fosl's reading of Hume can accommodate his scientific ambitions.

The conservation of a circle produces the universal system architecture of Nature, and, therefore, the architecture for a quantum information system. There is a mandatory circle (a circular-linear relationship) between mind and matter (abstract and concrete 'reality') explaining (and exposing) both (you need both in order to have either) (complementarity is required (another word) for 'identity').

Peter S. Fosl offers a radical interpretation of Hume as a thoroughgoing sceptic on epistemological, metaphysical and doxastic grounds. He first contextualises Hume's thought in the sceptical tradition and goes on to interpret the conceptual apparatus of his work - including the Treatise, Enquiries, Essays, History, Dialogues and letters.

The modern abundance and prominence of data has led to the development of “data science” as a new field of enquiry, along with a body of epistemological reflections upon its foundations, methods, and consequences. This article provides a systematic analysis and critical review of significant open problems and debates in the epistemology of data science. We propose a partition of the epistemology of data science into the following five domains: (i) the constitution of data science; (ii) the kind of enquiry (...) that it identifies; (iii) the kinds of knowledge that data science generates; (iv) the nature and epistemological significance of “black box” problems; and (v) the relationship between data science and the philosophy of science more generally. (shrink)

In this essay we examine the relationships between Big Data and cognition, in particular human cognition. The reason for exploring such relationships lies in two aspects. First, because in the domain of cognitive science, many speculate about the benefits that the uses of Big Data analysis techniques can provide to the characterization and understanding of cognition. Secondly, because the scientific and technological sectors that promote data analysis activities, particularly statistics, computer science and data science, naturally accustomed to working with Big (...) Data, have in recent years used the idea of ​​cognition. and its related concepts as terms that seem capable of remedying the deficiencies of the era of symbolic artificial intelligence, as a response to the automation of typically human activities in the process of analyzing data and using its results. of data science, seeking to understand what Big Data really is and to investigate whether the use of cognition models could be applied to the sector. On the other hand, we will analyze the potential of using Big Data to help cognitive science. We also tried to provide a certain didactic character in some points, aiming to help the understanding, by non-specialists, regarding some principles and aspects of the methodology of data science and statistics that will eventually be mentioned in the development of our analysis. (Translated from original). (shrink)

Complexity is dependent on the circular-linear relationship between an individual and a group, meaning we cannot use 'observation' to tell us what we need to know (to explain complexity).

Most current work in epistemology deals with the evaluation and justification of information already acquired. In this book, Jaakko Hintikka instead discusses the more important problem of how knowledge is acquired in the first place. His model of information-seeking is the old Socratic method of questioning, which has been generalized and brought up-to-date through the logical theory of questions and answers that he has developed. Hintikka also argues that philosophers' quest for a definition of knowledge is ill-conceived and that the (...) entire notion of knowledge should be replaced by the concept of information. He offers an analysis of the different meanings of the concept of information and of their interrelations. The result is a new and illuminating approach to the field of epistemology. (shrink)

I submit that the critical epistemology of race and standpoint literature has not explicitly focused on the properties of information about, say, racial or gender injustice in a way similar to how epistemologists have focused on propositions and information when they describe propositional justification. I describe information in the racial-injustice-information domain in a way similar to how epistemologists describe propositional justification. To this end, I argue (C1) that if subjects in racially unjust societies tend to violate norms that promote a (...) community’s reliable information flow because racial prejudice is widely held in racially unjust societies, then racial injustice can make information flow less reliably in a community. I also argue (C2) that if racial prejudice can make information flow less reliably in a community, then information that non-dominant subjects are more likely to have will less reliably flow to community members who lack it. (shrink)

The emerging contemporary natural philosophy provides a common ground for the integrative view of the natural, the artificial, and the human-social knowledge and practices. Learning process is central for acquiring, maintaining, and managing knowledge, both theoretical and practical. This paper explores the relationships between the present advances in understanding of learning in the sciences of the artificial, natural sciences, and philosophy. The question is, what at this stage of the development the inspiration from nature, specifically its computational models such as (...) info-computation through morphological computing, can contribute to machine learning and artificial intelligence, and how much on the other hand models and experiments in machine learning and robotics can motivate, justify, and inform research in computational cognitive science, neurosciences, and computing nature. We propose that one contribution can be understanding of the mechanisms of ‘learning to learn’, as a step towards deep learning with symbolic layer of computation/information processing in a framework linking connectionism with symbolism. As all natural systems possessing intelligence are cognitive systems, we describe the evolutionary arguments for the necessity of learning to learn for a system to reach humanlevel intelligence through evolution and development. The paper thus presents a contribution to the epistemology of the contemporary philosophy of nature. (shrink)

Reality at any scale (a singularity of singularities) involves the conservation of a circle. This is because zero and one (modern) (yin and yang) (ancient) are, technically, and, thus 'realistically' (literally), circumference and diameter. This means we are, always, tokenizing space, explaining 'the matrix,' 'information,' 'information systems,' and algorithms (mathematics and technology). This is because, what humans label, 'mind' and 'matter,' like any X and X (X and Y) (X and X') articulate, and, thus, conserve an always-present (totally prescient) circular-linear (...) relationship. Also known as 'tokenization.' Conservation of the Circle. (shrink)

L’ontologie générale constitue un fondement théorique important pour l’analyse, la conception et le développement dans les technologies de l’information. L’ontologie est une branche de la philosophie qui étudie ce qui existe dans la réalité. Une ontologie largement utilisée dans les systèmes d’information, en particulier pour la modélisation conceptuelle, est l’ontologie BWW (Bunge-Wand-Weber), fondée sur les idées du philosophe et physicien Mario Bunge, telles que synthétisées par Wand et Weber. Cette ontologie a été élaborée à partir d’une ancienne version de la (...) philosophie de Bunge ; cependant, de nombreuses idées de Bunge ont évolué depuis lors. Une question importante est donc la suivante : les idées les plus récentes exprimées par Bunge appellent-elles une nouvelle ontologie ? Dans cet article, nous analyserons des travaux récents et antérieurs de Bunge afin de répondre à cette question. Nous présentons une nouvelle ontologie basée sur les travaux plus récents de Bunge que nous nommons ontologie systémiste bungéenne (Bunge’s Systemist Ontolgy ; BSO). Nous comparons ensuite BSO aux constructions de BWW. La comparaison révèle à la fois un chevauchement considérable entre BSO et BWW, ainsi que des différences substantielles. À partir de cette comparaison et de l’exposition initiale de BSO, nous proposons des suggestions pour diverses études ontologiques et identifions des questions qui pourraient alimenter un programme de recherche tant en modélisation conceptuelle qu’en technologie de l’information en général. (shrink)

In Pensare l’infosfera La filosofia come design concettuale, Luciano Floridi states the value of a correct analysis and philosophical responses within the information age we are living in. The aim of this paper is to suggest several ideas for reflecting on some of Floridi’s topics such as the analysis of presence, relationship and semantization. In the second paragraph, after a brief introduction about the author, I will analyse philosophical insights on the relationship between being and determination. In the third paragraph, (...) I am going to suggest the importance of a correct analysis of presence. In the fourth paragraph, a possible analogy between the philosophy of information and a certain form of neo-idealism will be shown. At last, I try to show how the philosophy of information can play a key role in the way we think about reality, but also its possible conceptual risks. (shrink)

In the 1950s and 1960s, Conservatives themselves sought to distinguish an authentic conservatism from what Peter Viereck called “Reactionary Nationalism” and George Nash termed “The Radical Right.” In The National Review, William F. Buckley sought to expel the John Birch Society and Ayn Rand from the emerging Conservative movement. Perhaps most famously, the renowned historian Richard Hofstadter distinguished between Conservatism on the one hand and Pseudo-Conservatism on the other, which exhibited an opposition to the broad consensus of American society and (...) culture and what he famously identified as “the paranoid style” that was characterized by a Manichean outlook, an uncompromising political stance, a sense of betrayal, and a conspiratorial mindset. The project of this chapter is to outline the philosophical origins of this development, locating the roots of this debasement deep in the project of modernity itself in which conservatism developed in opposition to the universalism of rationality, science, and liberalism. (shrink)

CAT4 is proposed as a general method for representing information, enabling a powerful programming method for large-scale information systems. It enables generalised machine learning, software automation and novel AI capabilities. It is based on a special type of relation called CAT4, which is interpreted to provide a semantic representation. This is Part 2 of a five-part introduction. The focus here is on defining key mathematical properties of CAT2, identifying the topology and defining essential functions over a coordinate system. The analysis (...) is from first principles. This develops on from the axioms introduced in Part 1. The interpretation of fact networks is introduced in Part 3, and the full application to semantic theory comes in Part 4, where we introduce general functions, including the language interpretation or linguistic functions. In Part 5, we turn to software design considerations, to show how files, indexes, functions and screens can be defined to implement a CAT4 system efficiently. (shrink)

Abstract. Could a person or mind be uploaded—transmitted to a computer or network—and thereby survive bodily death? I argue ‘mind uploading’ is possible only if a mind is an abstract object rather than a concrete particular. Two implications are notable. One, if someone can be uploaded someone can be multiply-instantiated, such that there could be as many instances of a person as copies of a book. Second, mind uploading’s possibility is incompatible with the leading theories of personal identity, insofar as (...) these assume the mind is a concrete particular. Moreover, because David Chalmers (2010; 2012; 2014) defends mind uploading without construing minds as abstract, I show Chalmers’ argument to be unsound. (shrink)

Philosophers have recently begun to address the new intellectual challenges arising from the world of information and the information society. Consequently, a new and vitally important area of research has begun to emerge, the philosophy of information (PI). This paper is the first attempt to analyse the potential nature of PI systematically. The paper aims to explain (1) what PI is (2) how PI has emerged (3) why there should be a new philosophical discipline such as PI, (4) what PI’s (...) scientific goals are and, finally, (5) what interpretations of PI are possible, either as a philosophy of science/technology or as a philosophy of information design. It is argued that PI is the philosophy for the information age, as it offers the systematic treatment of the philosophical foundations of the world of information and of an information society. (shrink)

Library information science (LIS) should develop its foundation in terms of a philosophy of information (PI). This seems a rather harmless suggestion. In Floridi (2002a), I have articulated some of the reasons why I believe that PI can fulfill the foundationalist needs better than SE can. In this contribution, I clarify some aspects of my proposal (Floridi, 2002a) in favor of the interpretation of LIS as applied PI. The aim of the article is to remove some ambiguities and possible misunderstandings (...) that might prevent the correct evaluation of my position, so that disagreement can become more constructive. (shrink)

The Philosophy of Information is a new area of research at the intersection of philosophy and computer science [4]. It concerns (a) the critical investigation of the conceptual nature and basic principles of information, including its dynamics (especially computation), utilization (especially computer ethics) and sciences; and (b) the elaboration and application of computational and information-theoretic methodologies to philosophical problems. Past work by members of our group has concentrated on (a), and in this paper we explore (b). In a nutshell, we (...) ask what computer science can do for philosophy, rather than what the latter can do for the former. -/- . (shrink)

“Misreading Skepticism in the Long Eighteenth Century: Studies in the Rhetoric of Assent” revisits the intellectual historical conditions that contributed to the widespread internalization of skepticism as an error-reduction strategy during the Enlightenment. To do so, it abandons a longstanding emphasis the special philosophical tradition of epistemological skepticism associated with the Scottish philosopher David Hume and pursues an alternative intellectual history of Enlightenment skepticism centered on the Anglophone tradition of “constructive skepticism” that informed not only Hume’s skeptical habits but those (...) of other influential Anglophone Enlightenment thinkers more often set in opposition to Hume. “Misreading Skepticism” draws on this tradition of constructive skepticism to generate a much different picture of the character of Enlightenment skepticism than the one extrapolated from radical Humean skepticism: one that is not anxious but assured, not theoretical but pragmatic, not preoccupied with the threat of “radical uncertainty” but resolved to attaining “moral certainty” sufficient to justify belief and action despite irreducible uncertainty. Readings of the philosophy of John Locke, Thomas Reid, David Hume, Samuel Johnson, and Dugald Stewart recover the broader Enlightenment project of practical rationality that encouraged the widespread internalization and instrumentalization of constructive skepticism. Readings of eighteenth-century rhetorical and legal treatises trace how this constructive skeptical ethos was disseminated beyond epistemology and embraced within a generalized theory of assent. “Misreading Skepticism” approaches this broader “misreading” in the modern intellectual history of skepticism through the special lens of Romantic literary studies, where scholars have traditionally framed the rise of British Romanticism as a response to a supposed epistemological “crisis” posed by Humean skepticism. “Misreading Skepticism” argues that, to understand the Romantic literary reaction to Enlightenment skepticism, we need to approach the intellectual history of British Romanticism not through Humean skepticism but through constructive skepticism. Readings of Romantic works by William Godwin, William Wordsworth, Mary Shelley, and other authors demonstrate how these Romantic writers use literary form to interrogate the confident embrace of constructive skepticism within the Enlightenment as a means for managing uncertainty, often by dramatizing or thematizing elements of subjectivity and error that skepticism fails to detect or discipline. Drawing insight from the constructive skeptical tradition as well as Romantic literary critiques of that tradition, “Misreading Skepticism” develops a revisionary account of skepticism that attends to the rhetorical and social dimensions that complicate any epistemological account of skepticism. (shrink)

Translation in Greek of "A Geneticist's Roadmap to Sanity" (2019) by G.B. Côté. Μεταφράστηκε και στα Γαλλικά από τους Gilbert B. Côté και Roger Lapalme και προστέθηκε η βιβλιογραφία στις 28 του Απρίλη 2020: Pour comprendre le monde et revenir à la raison. La théorie du tout d'un généticien. Η ώθηση για τη συγγραφή ήταν η ανήθικη προεδρία του Donald J. Trump. Σε αυτό το κείμενο, θέλω να εξερευνήσω τα θεμέλια της ύπαρξής μας. Θα θίξω σύντομα την ενσυνείδηση, την ελεύθερη (...) βούληση, τη θρησκεία, την ηθική, τα βάσανα της ζωής , το πρόβλημα της δυαδικότητας του νου και του σώματος, την αχρονικότητα, τα πολλαπλά σύμπαντα και το ανθρώπινο πεπρωμένο. Για να διευκολύνω αυτήν την παρουσίαση, θα πρέπει πρώτα να δείξω ότι ο μαθηματικός πλατωνισμός είναι μια λογική αναγκαιότητα για την ύπαρξη οποιουδήποτε σύμπαντος, και θα εισαγάγω τους αφηρημένους, κβαντικούς και υλικούς τρόπους ύπαρξης (στη φιλοσοφία) που αντιστοιχούν στην πληροφόρηση, την ενέργεια και τη μάζα (στη φυσική). Το κείμενο αυτό αποτελεί μια σύνοψη της προσωπικής μου θεωρίας των πάντων. (shrink)

Our world is under going an enormous digital transformation. Nearly no area of our social, informational, political, economic, cultural, and biological spheres are left unchanged. What can philosophy contribute as we try to under- stand and think through these changes? How does digitization challenge past ideas of who we are and where we are headed? Where does it leave our ethical aspirations and cherished ideals of democracy, equality, privacy, trust, freedom, and social embeddedness? Who gets to decide, control, and harness (...) the powers of digitization and for which purposes? Epistemologically, do most of us understand these new mediations – and thus fabrics – of our new world? Lastly – how is the new technological landscape shaping not only our living conditions but also our collective imaginary and our self-identities? (shrink)

Computational and information-theoretic research in philosophy has become increasingly fertile and pervasive, giving rise to a wealth of interesting results. In consequence, a new and vitally important field has emerged, the philosophy of information (PI). This essay is the first attempt to analyse the nature of PI systematically. PI is defined as the philosophical field concerned with the critical investigation of the conceptual nature and basic principles of information, including its dynamics, utilisation, and sciences, and the elaboration and application of (...) information-theoretic and computational methodologies to philosophical problems. I argue that PI is a mature discipline for three reasons: it represents an autonomous field of research; it provides an innovative approach to both traditional and new philosophical topics; and it can stand beside other branches of philosophy, offering a systematic treatment of the conceptual foundations of the world of information and the information society. (shrink)

The opinion defended in this paper is that the interrelationships between the phenomena of data and information can provide a strong basis for analyzing knowledge as a quantified and qualified construction. As other models (e.g., Augusto’s General Theory of Knowledge) suggest, it is important to distinguish knowledge from both data and information in the complicated trio composed of data, information, and knowledge (DIK). However, data and information can be combined into informative data. Taking into account quantified and qualified informative data, (...) I speak here of quantified and qualified knowledge structures. (shrink)

This chapter reviews some interesting research trends in the philosophy of information (PI). First, PI is defined; then, a series of open problems in PI on which philosophers are currently working is considered. The conclusion highlights the innovative character of this new area of research.

In this article, I outline the three main philosophical lessons that we may learn from Turing’s work, and how they lead to a new philosophy of information. After a brief introduction, I discuss his work on the method of levels of abstraction (LoA), and his insistence that questions could be meaningfully asked only by specifying the correct LoA. I then look at his second lesson, about the sort of philosophical questions that seem to be most pressing today. Finally, I focus (...) on the third lesson, concerning the new philosophical anthropology that owes so much to Turing’s work. I then show how the lessons are learned by the philosophy of information. In the conclusion, I draw a general synthesis of the points made, in view of the development of the philosophy of information itself as a continuation of Turing’s work. (shrink)

The primary goal of this essay is to provide a comprehensive overview and analysis of the various relations between material artifacts and the embodied mind. A secondary goal of this essay is to identify some of the trends in the design and use of artifacts. First, based on their functional properties, I identify four categories of artifacts co-opted by the embodied mind, namely (1) embodied artifacts, (2) perceptual artifacts, (3) cognitive artifacts, and (4) affective artifacts. These categories can overlap and (...) so some artifacts are members of more than one category. I also identify some of the techniques (or skills) we use when interacting with artifacts. Identifying these categories of artifacts and techniques allows us to map the landscape of relations between embodied minds and the artifactual world. Second, having identified categories of artifacts and techniques, this essay then outlines some of the trends in the design and use of artifacts, focussing on neuroprosthetics, brain-computer interfaces, and personalisation algorithms nudging their users towards particular epistemic paths of information consumption. (shrink)

Cryptocurrency is just the tip of a never-melting iceberg…because everything in Nature is connected to everything else by an always-conserved (and uber-simple) circle. Giving us, finally, an explanation (and, technically, a use-case, and proof) for a 'self.'.

The integration of biomimetics and memetics produces non-fungible tokens. Proving the Conservation of a Circle is the core, and, thus the only, dynamic in Nature, resulting in the tokenization of reality. Explaining the notion of 'self.' Across all disciplines.

Zero and one are the circumference and diameter of an always-conserved circle. Explaining everything in philosophy, physics, and psychology. This produces a completely tokenized 'reality' with important implications for governmental and financial systems. As is, already, happening, in the exploding 'world' of NFT ('crypto' 'currency' in general) based on the statement and the diagram, and the notion of identity (knowledge as power).

Zero and one are the circumference and diameter of an always-conserved circle. Explaining everything in philosophy, physics, and psychology. This produces a completely tokenized 'reality' with important implications for governmental and financial systems. As is, already, happening, in the exploding 'world' of NFT ('crypto' 'currency' in general) based on the statement and the diagram, and the notion of identity (knowledge as power).

Duality explains everything. Language unnecessary, and, actually, superfluous.