Search

Assembling a distinctive genealogy of cybernetic thought situated in relation to Progressive Era technocracy, industrial capitalism, (de)colonial relations, and eugenic machinery, Code uncovers the vital interdependence of informatics, the humanities, and the human sciences in the 20th century. Rather than figuring cybernetics as emerging from Second World War military technologies and post-war digital computing, Code argues that liberal technocrats' inter-war visions of social welfare delivered via 'neutral' communication techniques shaped the informatic interventions of both the Second World War and the Cold War. Tracing how an organizing concept of code linked the work of diverse structurally-minded thinkers, such as Norbert Wiener, Warren Weaver, Margaret Mead, Gregory Bateson, Claude Lévi-Strauss, Roman Jakobson, Jacques Lacan, Roland Barthes, and Luce Irigaray, Bernard Dionysius Geoghegan reconstructs the cybernetic apparatus that spawned new fields, including structural anthropology, family therapy, and literary semiology – and grapples with the unfolding implications of such socio-technical dynamics for 21st-century critical theory, digital media, and data analytics. [ABSTRACT FROM AUTHOR]

The article analyzes the book "Fictional Discourse. A Radical Fictionalist Semantics" by Stefano Predelli, which explores the doctrine of Radical Fictionalism. According to Predelli, fictional sentences do not say anything about the real world and the names of fictional entities do not refer to fictional entities. However, the author presents three reasons why radical fictionalism is not an attractive option. The relationship between proper names and propositions in fiction is also discussed, questioning whether fictional proper names express propositions when used in sentences. Additionally, the ambiguity in the reference of proper names in fiction is analyzed, and Predelli's claims about proper names and the relationship between fictional narrators and the ambiguity of fictional proper names are criticized. [Extracted from the article]

Nevertheless, Beller closes his monograph by recognizing that information itself is the product of larger contestations over the financialization of speech and expression such that informatic media might retain a latent capacity to be collectively repurposed for emancipatory ends. Beller describes the matrix of domination that he unfolds across this first section as axiomatic for the persistence of capitalism as a system of interdependent social forms. Moreover, information's content-indifference provides capitalists with the opportunity to ignore the violent contexts in which information is produced and present technology as politically neutral in their quests for profit. [Extracted from the article]

In the cumulative process of integration of New collected data to refine the credence of the Theory, the Bayesian inference or update is presented as follows: Graph HT ht where I T i and I D i denote the Theory and Data, respectively. [Extracted from the article]

Chapters 7.4-7.6 in turn explain this algorithm, by first intuitively describing the overall iteration scheme in Chapter 7.4, followed by 7.5 and 7.6 filling in the mathematical details. With the next six subchapters explaining the algorithms for these two techniques, Chapter 20 ends with methods for rotating the solution of tensor decomposition, analogous to Chapter 13 for matrix rotations. Section 5 (advanced procedures; Chapters 17-22; the last section of the book) is brand-new compared to the 1st edition of this book, owing to the rapid development of high-dimensional statistics, matrix decomposition, and tensor methods in recent decades. [Extracted from the article]

The Information Theory of Comparisons, With Applications to Statistics and the Social Sciences: by Roger Bowden. The Information Theory of Comparisons, With Applications to Statistics and the Social Sciences by Roger Bowden. Chapter 1 introduces the basic ideas of partition entropy and its relationship with classic Shannon entropy. [Extracted from the article]

HT ht I i i = 1, 2 I , ..., n i where HT ht = I µ SB f sb , i are positive and sum to one. HT ht = I µ SB f sb i + I i where I i is random variable. HT ht +. [Extracted from the article]

The constraint of a mean of four shifts the maximum entropy probabilities in such a way to have the most uniform distribution as possible that has a mean of four and with probabilities that sum to one. The maximum entropy solution for the continuous distribution of rainfall in South West England subject to an arithmetic mean constraint yields an exponential distribution. When the relative entropy is minimized with respect to I P i subject to constraints, the solution is the probability distribution closest to the prior distribution I Q i that satisfies the constraints. While earlier technical treatments of maximum entropy econometrics move quickly to the basic optimization problem, Golan takes time in the early chapters of this book to describe the fundamentals of measuring information and builds up from the basic concepts to the entropy criterion and why it is a good one. [Extracted from the article]

Artificial intelligence, robotics, and machine learning are not futuristic dreams anymore. The realignment of skills to match with future artificial intelligence and machine learning requirements is already in full force. The chapter is very technical but provides a clear explanation of the feed forward algorithm for estimating adaptive parameters of neural networks. Comprehension of the machine learning algorithms and concepts will be much deeper when the algorithms are brought to life with computer implementation. [Extracted from the article]

Complexity science: an introduction: edited by M. A. Peletier, R. A. van Santen, and E. Steur, Singapore, World Scientific, 2019, 428 pp., £120.00 (hardback), ISBN 978-981-3239-59-3. Scope: edited book. However, the actual context, regarding "darwinism-evolution", is revealed (albeit unexpectedly) in the very first chapter by Dr Nicolis; in that chapter, he presents the algorithmic Complexity, a view of classical Information Theory suggested by Kolmogorov & Chaitin. [Extracted from the article]

A Review of Antonio Badia's The Information Manifold: Why Computers Can't Solve Algorithmic Bias and Fake News (MIT Press, 2019). 352 pages. [ABSTRACT FROM AUTHOR]

In modern developments of statistics, machine learning has become more and more popular. For the contents in detail, in Chapter 1, the authors first introduce some fundamental concepts of machine learning and present the outlined topics of the remaining chapters. Different from several "preliminaries" in previous chapters, the authors start introducing several well-known methods in machine learning and focus on the classification problem. [Extracted from the article]

Review of Introducing Communication Theory: Analysis and Application (6th ed.). [ABSTRACT FROM AUTHOR]

Quantitative analysis of ecological weighted digraphs often appears under the rubric of "ecological network analysis." What is missing in ecosystems can be very important to network dynamics and places limits on network efficiency in favor of reliability. Here Dale and Fortin treat the empirical side of building networks - important problems encountered during data sampling and inference as well as statistical considerations occasioned by necessarily large data sets. [Extracted from the article]

Information about the book symposium on concept of information in contemporary science held in 1965 is presented. Topics discussed include views of cybernetics and information theory; presentation by Gilbert Simondon on the same; philosophical, non-empirical perspectives of information theory; consciousness and the act of communication; and concept of organization in information planning and systems.

The article reviews the book "Formal Theories of Information: From Shannon to Semantic Information Theory and General Concepts of Information," edited by Giovanni Sommaruga

The article presents a brief biography of Harold A. Innis and reviews his book, "Empire and Communications", published in 1950 and translated into Italian as "Impero e comunicazioni".

The article reviews the book "A Communication Universe: Manifestations of Meaning, Stagings of Significance," by Igor Klyukanov.

The article reviews the book "Action and Agency in Dialogue: Passion, Incarnation & Ventriloquism," by Françios Cooren.

The article reviews the book "Formal Theories of Information: From Shannon to Semantic Information Theory and General Concepts of Information," edited by Giovanni Sommaruga.

The article reviews the book "Kommunikationstheorien in Frankreich," by Stefanie Averbeck-Lietz.

The article reviews the book "Information Foraging Theory: Adaptive Interaction With Information," by Peter Pirolli.

The article reviews the book "Funds of Knowledge: Theorizing Practices in Households, Communities and Classrooms," edited by Norma González, Luis C. Moll and Cathy Amanti.