Though we have access to a wealth of information, the main issue is always how to process the available information. How to make sense of all we observe and know. Just like the English alphabet: we know there are 26 letters but unless we put these letters together in a meaningful way, they convey no information. There are infinitely many ways of putting these letters together. Only a small number of those make sense. Only some of those convey exactly what (...) we wish to convey though the message may be interpreted differently by different individuals. That same issue comes up with information: how can we process the information we have? How can we infer and reason under conditions of incomplete observed information? In his seminal book on the philosophy of information, Floridi (2011a) raises a number of open questions. I discuss here one of these questions. That question is how to process information. To do so, I take the more realistic view that information is always limited, incomplete and possibly noisy. I define types of information, relate it to Floridi’s definitions and discuss a basic formulation for processing information under a unified framework. I relate it to some of the basic concepts discussed in the book. (shrink)

From the advent of general purpose, Turing-complete machines, the relation between operators, programmers and users with computers can be observed as interconnected informational organisms (inforgs), henceforth analysed with the method of levels of abstraction (LoAs), risen within the philosophy of information (PI). In this paper, the epistemological levellism proposed by L. Floridi in the PI to deal with LoAs will be formalised in constructive terms using category theory, so that information itself is treated as structure-preserving functions instead of Cartesian products. (...) The milestones in the history of modern computing are then analysed through constructive levellism to show how the growth of system complexity lead to more and more information hiding. (shrink)

Epistemic diversity is the ability or possibility of producing diverse and rich epistemic apparati to make sense of the world around us. In this paper we discuss whether, and to what extent, different conceptions of knowledge—notably as ‘justified true belief’ and as ‘distributed and embodied cognition’—hinder or foster epistemic diversity. We then link this discussion to the widespread move in science and philosophy towards monolingual disciplinary environments. We argue that English, despite all appearance, is no Lingua Franca, and we give (...) reasons why epistemic diversity is also deeply hindered is monolingual contexts. Finally, we sketch a proposal for multilingual academia where epistemic diversity is thereby fostered. (shrink)

In this paper an evaluation of the contribution to philosophical investigation by Alan Turing is provided in terms of creation of Artificial Languages. After a discussion of the term AL in the literature, and in particular within the theoretical model offered by Lyons, the legacy of Turing is presented with a special attention to what remains after a century by his birth and what is still to be investigated in this area.

Popper argued that a statistical falsification required a prior methodological decision to regard sufficiently improbable events as ruled out. That suggestion has generated a number of fruitful approaches, but also a number of apparent paradoxes and ultimately, no clear consensus. It is still commonly claimed that, since random samples are logically consistent with all the statistical hypotheses on the table, falsification simply does not apply in realistic statistical settings. We claim that the situation is considerably improved if we ask a (...) conceptually prior question: when should a statistical hypothesis be regarded as falsifiable. To that end we propose several different notions of statistical falsifiability and prove that, whichever definition we prefer, the same hypotheses turn out to be falsifiable. That shows that statistical falsifiability enjoys a kind of conceptual robustness. These notions of statistical falsifiability are arrived at by proposing statistical analogues to intuitive properties enjoyed by exemplary falsifiable hypotheses familiar from classical philosophy of science. That demonstrates that, to a large extent, this philosophical tradition was on the right conceptual track. Finally, we demonstrate that, under weak assumptions, the statistically falsifiable hypotheses correspond precisely to the closed sets in a standard topology on probability measures. That means that standard techniques from statistics and measure theory can be used to determine exactly which hypotheses are statistically falsifiable. In other words: the proposed notion of statistical falsifiability both answers to our conceptual demands and submits to standard mathematical techniques. (shrink)

The distinction between knowledge-how and knowledge-that has long been debated in the epistemological literature. This distinction can, arguably, be better understood in terms of a more fundamental distinction between information-how and information-that. Information-how is prescriptive and informs a cognitive agent about which action can be performed to achieve a particular outcome. Information-that is descriptive and informs the agent about events, objects, and states of affairs in the world. Since the latter has received more attention in the epistemological literature, this article (...) focuses on the former. I offer a new account of information-how that answers the question, ‘When do data qualify as information-how?’. (shrink)

This special issue introduces the study of financial technologies and finance to the field of philosophy of technology, bringing together two different fields that have not traditionally been in dialogue. The included articles are: Digital Art as ‘Monetised Graphics’: Enforcing Intellectual Property on the Blockchain, by Martin Zeilinger; Fundamentals of Algorithmic Markets: Liquidity, Contingency, and the Incomputability of Exchange, by Laura Lotti; ‘Crises of Modernity’ Discourses and the Rise of Financial Technologies in a Contested Mechanized World, by Marinus Ossewaarde; Two (...) Technical Images: Blockchain and High-Frequency Trading, by Diego Viana; and The Blockchain as a Narrative Technology: Investigating the Social Ontology and Normative Configurations of Cryptocurrencies, by Wessel Reijers and Mark Coeckelbergh. (shrink)

Medicine is said to be moving rapidly down the road towards personalization, but it is not entirely clear how we are to understand this term, or its implications for ethics. In understanding the concept of personalized medicine there are multiple possible interpretations of ‘personalization’ at stake. These may in turn presuppose different concepts of ‘person’, with resulting variations in the ethical implications.

Participatory and collaborative approaches in sustainability science and public health research contribute to co-producing evidence that can support interventions by involving diverse societal actors that range from individual citizens to entire communities. However, existing philosophical accounts of evidence are not adequate to deal with the kind of evidence generated and used in such approaches. In this paper, we present an account of evidence as clues for action through participatory and collaborative research inspired by philosopher Susan Haack’s theory of evidence. Differently (...) from most accounts of evidence for use in policies and interventions, our account combines action-oriented (the how) and actors-oriented (the who) considerations. We build on Haack’s theory and on the analysis of examples of participatory and collaborative research in sustainability science and public health research to flesh out six procedural criteria for the generation and mobilization of evidence in and from participatory research. Action-oriented criteria invite to look at evidence from a (a) foundherentist, (b) gradational and (c) quasi-holistic perspective. Actors-oriented criteria point out that evidence generation and utilization are (d) social, (e) personal, and (f) embedded. We suggest that these criteria may reinforce participatory and collaborative approaches to evidence co-production when addressing complex problems in sustainability science and public health allowing for the generation of a kind of practical objectivity. (shrink)

In 2002, Luciano Floridi published a paper called What is the Philosophy of Information?, where he argues for a new paradigm in philosophical research. To what extent should his proposal be accepted? Is the Philosophy of Information actually a new paradigm, in the Kuhninan sense, in Philosophy? Or is it only a new branch of Epistemology? In our discussion we will argue in defense of Floridi’s proposal. We believe that Philosophy of Information has the types of features had by other (...) areas already acknowledge as authentic in Philosophy. By way of an analogical argument we will argue that since Philosophy of Information has its own topics, method and problems it would be counter-intuitive not to accept it as a new philosophical area. To strengthen our position we present and discuss main topics of Philosophy of Information. (shrink)

Within this paper, we utilise a delimited area of philosophy to help make sense of a delimited area of design science as it pertains to a class of contemporary information systems. The philosophy is taken from that of Charles Sanders Peirce; the design science is directed at the construction of visual devices in that area known as visual management. The utilisation of such devices within their wider visual management systems we take to be instances of what we refer to as (...) tangible information systems. Tangible information systems use tangible artefacts, such as whiteboards and magnetic tokens, to accomplish information. We particularly use Peircean semiotics to analyse the use of tangible emoticons articulated upon performance boards within a large-scale manufacturing facility. We infer from our analysis of these informative artefacts that certain integrated aspects of Peircean philosophy offers an alternative way of framing notions of a proper design science, design theory and design artefact for the discipline of information systems. (shrink)

Because the label "computing and philosophy" can seem like an ad hoc attempt to tie computing to philosophy, it is important to explain why it is not, what it studies (or does) and how it differs from research in, say, "computing and history," or "computing and biology". The American Association for History and Computing is "dedicated to the reasonable and productive marriage of history and computer technology for teaching, researching and representing history through scholarship and public history" (http://theaahc.org). More pervasive, (...) work in computing and biology enjoys the convenient name of "bioinformatics...the science of using information to understand biology..., a subset of the larger field of computational biology, the application of quantitative analytical techniques in modeling biological systems" (http://oreilly.com/catalog/bioskills/chapter/ ch01.html). The recent venture of the Association for Computing Machinery and the Institute of Electrical and Electronics Engineers to publish the Transactions on Computational Biology and Bioinformatics (TCBB) bears witness to the reach of computing and biology and underscores its objective. TCBB intends to report "archival research results related to the algorithmic, mathematical, statistical, and computational methods that are central in bioinformatics and computational biology; the development and testing of effective computer programs in bioinformatics; the development and optimization of biological databases; and important biological results that are obtained from the use of these methods, programs, and databases" (http://tcbb.acm.org). In the case of "computing and history" and "bioinformatics," each discipline stands in a particular relationship to computers that raises questions unique to itself. But both are devoted to the development of computational tools to aid discovery.. (shrink)

In the beginning was the word, or grunt, or groan, or signal of some sort. This, however, hardly qualifies as an information revolution, at least in any standard technological sense. Nature is replete with meaningful signs, and we must imagine that our early ancestors noticed natural patterns that helped to determine when to sow and when to reap, which animal tracks to follow, what to eat, and so forth. Spoken words at first must have been meaningful in some similar sense. (...) But in time the word became flesh (corpus) and dwelt among us, as "inscription" (literally, to put into writing) inaugurated the dawn of human history. This did not happen instantly. One place to enter the story is with clay tokens to represent trade transactions that in time became accounting tablets and, then, the world's first literature (Enmerkar and the Lord of Aratta, The Epic of Gilgamesh, etc.) and codes of law (The Codes of Ur-Nammu, Lipit-Ishtar, Hammurabi, and so forth.) This event happened around the north shore of the Persian Gulf sometime in the 4th millennium BCE and was enshrouded in mystery as the role of the scribe trained in the art of inscribing and deciphering signs belonged to the priest (Deibert 1997). With the sanction of religion, writing gave birth to "civility" (literally, life in the city) and defined the line between "history" and "pre-history," the latter being a term designating everything that happened before. There is little doubt that the invention of writing was significant and that it deserves recognition as the first revolution in the history of information. Life as we live it today would have been impossible otherwise. Innovations in writing technologies happened with significant effects, but at various points in the history of information, changes in technology were so dramatic that they reshaped the course of human history in radical ways. The revolution in printing is well-studied; the invention of the printing press and movable type (c.. (shrink)

This paper provides a novel philosophical approach to the role of information on the internet. The link information-internet is analyzed from the perspective of the sciences of the artificial, to highlight aspects of this field that Herbert Simon did not consider. The analysis follows three steps: the study of the development of Artificial Intelligence as the support of internet for communication processes. This analysis is made to clarify the new communicative designs. The role creativity in the new communication designs is (...) studied. In this regard, there is an interplay between the scientific creativity of human beings making designs and technological innovation of information and communication technologies. The consideration of the transverse and longitudinal novelty that exist in the types of digital communication. They are based on AI built up as a science of the artificial. These types of novelty depend on the interaction between scientific creativity and technological innovation. A central aim of this paper on communication sciences from the perspective of sciences of design is to overcome Simon´s theoretical schemes. His view is mainly focused on structural complexity. But communicative designs of the internet phenomena require the dynamic complexity. In addition, communication on the internet is based on an internal-external duality, which goes beyond Simon’s approach on the artificial. Thus, the analysis takes into account the new types of communication and their different levels. (shrink)

It is now commonplace to refer to the contemporary era as the Information Age. So common, in fact, that some take this as an indication that the Information Age is over.1 Putting aside rumors of the Information Age's untimely demise, I take up in this essay the scope and nature of information in its relation to thought. To be precise, I argue that information constitutes the contemporary image of thought. I'm taking "image of thought" here in its Deleuzian sense to (...) mean that information is no longer merely a metaphor for thinking about or describing thought; rather, information is, at bottom, the sole content of thought, and thinking is nothing other than the processing of information. We can see this tendency most... (shrink)