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Content

Our world of information -- Foundations of information science and technology -- Information needs, seeking, and use -- Representation of information -- Organization of information -- Computers and networks -- Structured information systems -- Information system applications -- Evaluation of information systems -- Information management -- Publication and information technologies -- Information policy -- The information professions -- Information theory.

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Abstract

Emerging as a discipline in the first half of the twentieth century, the information sciences study how people, groups, organizations, and governments create, share, disseminate, manage, search, access, evaluate, and protect information, as well as how different technologies and policies can facilitate and constrain these activities. Given the broad span of the information sciences, it is perhaps not surprising that there is no consensus regarding its underlying theory the purposes of it, the types of it, or how one goes about developing new theories to talk about new research questions. Diane H. Sonnenwald and the contributors to this volume seek to shed light on these issues by sharing reflections on the theory-development process. These reflections are not meant to revolve around data collection and analysis; rather, they focus on the struggles, challenges, successes, and excitement of developing theories. The particular theories that the contributors explore in their essays range widely, from theories of literacy and reading to theories of design and digital search. Several chapters engage with theories of the behavior of individuals and groups; some deal with processes of evaluation; others reflect on questions of design; and the rest treat cultural and scientific heritage. The ultimate goal, Sonnenwald writes in her introduction, is to "encourage, inspire, and assist individuals striving to develop and/or teach theory development.""

Content

Inhalt: Exploring Theory Development: Learning from Diverse Masters Behavior of Individuals and Groups Many Paths to Theory: The Creative Process in the Information Sciences Reflections on Theory Construction in Human Information Behavior: A Theory of Browsing Reflections on the Development of a Theoretical Perspective Converging on Theory from Four Sides Evaluation Drawing Graphs for Theory Development in Bibliometrics and Retrieval Two Views on Theory Development for Interactive Information Retrieval Relevance: In Search of a Theoretical Foundation The Story of a Colony: Theory Development in Webometric Research Design Theorizing the Unprecedented Appropriating Theory Theory for Design: The Case of Reading Cultural and Scientific Heritage The Poverty of Theory; or, The Education of Jerome McGann Illuminating Daughter-Mother Narratives in Young Adult Fiction The Noblest Pleasure: Theories of Understanding in the Information Sciences Apologia pro Theoria Sua Supporting Future Theory Development

LCSH

Information theory

Subject

Information theory

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Abstract

This is the first volume in the tetralogy on the foundations of the philosophy of information. The reader interested in an introduction to its topics may find Information - A very Short Introduction helpful. The book fulfils three goals. The first is metatheoretical. The book describes what the philosophy of information is, its open problems, and its methods. The second goal is introductory. The book analyses the complex and diverse nature of informational concepts and phenomena, and defends the veridicality thesis and a theory of strongly semantic information. The third goal is constructive. The book tackles some classic philosophical questions in information-theoretical terms, such as how symbols acquire their semantics (the symbol-grounding problem), whether knowledge may be something different from justified true belief (the Gettier problem), or what kind of realism may be more plausible in philosophy of science (the debate on structural realism). The essential message is quite straightforward. Semantic information is well-formed, meaningful and truthful data; knowledge is relevant semantic information properly accounted for; humans are the only known semantic engines and conscious informational organisms who can develop a growing knowledge of reality; and reality is the totality of information (notice the crucial absence of "semantic").

Content

Semantic information and the veridicality thesis. Introduction ; The data-based approach to semantic information ; The general definition of information ; Understanding data ; Taxonomic neutrality ; Typological neutrality ; Ontological neutrality ; Genetic neutrality ; Alethic neutrality ; Why false information is not a kind of semantic information ; Why false information is pseudo-information : attributive vs predictive use ; Why false information is pseudo-information : a semantic argument ; The definition of semantic information -- Outline of a theory of strongly semantic information. Introduction ; The Bar-Hillel-Carnap paradox ; Three criteria of information equivalence ; Three desiderata for TSSI ; Degrees of vacuity and inaccuracy ; Degrees of informativeness ; Quantities of vacuity and of semantic information ; The solution of the Bar-Hillel-Carnap paradox ; TSSI and the scandal of deduction --
The symbol grounding problem. Introduction ; The symbol of grounding problem ; The representationalist approach ; The semi-representationalist approach ; The non-representationalist approach -- Action-based semantics. Introduction ; Action-based semantics ; Two-machine artificial agents and their AbS ; From grounded symbols to grounded communication and abstractions -- Semantic information and the correctness theory of truth. Introduction ; First step : translation ; Second step : polarization ; Third step : normalization ; Fourth step : verification and validation ; Fifth step : correctness ; Some implications and advantages of the correctness theory of truth -- The logical unsolvability of the Gettier problem. Introduction ; Why the Gettier problem is unsolvable in principle ; Three objections and replies -- The logic of being informed. Introduction ; Three logics of information ; Modelling "being informed" ; Four epistemological implications of KTB-IL -- Understanding epistemic relevance. Introduction ; Epistemic vs casual relevance ; The basic case ; A probabilistic revision of the basic case ; A counterfactual revision of the probabilistic analysis ; A metatheoretical revision of the counterfactual analysis ; Advantages of the metatheoretical revision ; Some illustrative cases ; Misinformation cannot be relevant ; Two objections and replies --
Semantic information and the network theory of account. Introduction ; The nature of the upgrading problem : mutual independence ; Solving the upgrading problem : the network theory of account ; Advantages of a network theory of account ; Testing the network theory of account -- Consciousness, agents, and the knowledge game. Introduction ; The knowledge game ; The first and classic version of the knowledge game : externally inferable states ; The second version of the knowledge game ; The third version of the knowledge game ; The fourth version of the knowledge game ; Dretske's question and the knowledge game -- Against digital ontology. Introduction ; What is digital ontology : It from bit ; The thought experiment ; Three objections and replies -- A defense of informational structural realism. Introduction ; First step : ESR and OSR are not compatible ; Second step : Relata are not logically prior to all relations ; Third step : the concept of a structural object is not empty ; Informational structural realism ; Ten objections and replies.

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Content

Introduction -- Information as codes : Shannon, Kolmogorov and the start of it all -- Information as content : semantics, possible worlds and all that jazz -- Information as pragmatics : impact and consequences -- Information as communication : networks and the phenomenon of emergence -- Will the real information please stand up? -- Is Shannon's theory a theory of information? -- Computers and information I : what can computers do? -- Computers and information II : machine learning, big data and algorithic bias -- Humans and information --Conclusions : where from here?

LCSH

Information theory

Subject

Information theory