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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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Abstract

An argument that information exists at different levels of analysis-syntactic, semantic, and pragmatic-and an exploration of the implications. Although this is the Information Age, there is no universal agreement about what information really is. Different disciplines view information differently; engineers, computer scientists, economists, linguists, and philosophers all take varying and apparently disconnected approaches. In this book, Antonio Badia distinguishes four levels of analysis brought to bear on information: syntactic, semantic, pragmatic, and network-based. Badia explains each of these theoretical approaches in turn, discussing, among other topics, theories of Claude Shannon and Andrey Kolomogorov, Fred Dretske's description of information flow, and ideas on receiver impact and informational interactions. Badia argues that all these theories describe the same phenomena from different perspectives, each one narrower than the previous one. The syntactic approach is the more general one, but it fails to specify when information is meaningful to an agent, which is the focus of the semantic and pragmatic approaches. The network-based approach, meanwhile, provides a framework to understand information use among agents. Badia then explores the consequences of understanding information as existing at several levels. Humans live at the semantic and pragmatic level (and at the network level as a society), computers at the syntactic level. This sheds light on some recent issues, including "fake news" (computers cannot tell whether a statement is true or not, because truth is a semantic notion) and "algorithmic bias" (a pragmatic, not syntactic concern). Humans, not computers, the book argues, have the ability to solve these issues.

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Abstract

This book contributes to discussions within Information Retrieval and Science (IR&S) by improving our conceptual understanding of the relationship between humans and technology. A call to redirect the intellectual focus of information retrieval and science (IR&S) toward the phenomenon of technology-mediated experience. In this book, Sachi Arafat and Elham Ashoori issue a call to reorient the intellectual focus of information retrieval and science (IR&S) away from search and related processes toward the more general phenomenon of technology-mediated experience. Technology-mediated experience accounts for an increasing proportion of human lived experience; the phenomenon of mediation gets at the heart of the human-machine relationship. Framing IR&S more broadly in this way generalizes its problems and perspectives, dovetailing them with those shared across disciplines dealing with socio-technical phenomena. This reorientation of IR&S requires imagining it as a new kind of science: a science of technology-mediated experience (STME). Arafat and Ashoori not only offer detailed analysis of the foundational concepts underlying IR&S and other technical disciplines but also boldly call for a radical, systematic appropriation of the sciences and humanities to create a better understanding of the human-technology relationship. Arafat and Ashoori discuss the notion of progress in IR&S and consider ideas of progress from the history and philosophy of science. They argue that progress in IR&S requires explicit linking between technical and nontechnical aspects of discourse. They develop a network of basic questions and present a discursive framework for addressing these questions. With this book, Arafat and Ashoori provide both a manifesto for the reimagining of their field and the foundations on which a reframed IR&S would rest.

Content

The embedding of the foundational in the adhoc -- Notions of progress in information retrieval -- From growth to progress I : methodology for understanding progress -- From growth to progress II : the network of discourse -- Basic questions characterising foundations discourse -- Enduring nature of foundations -- Foundations as the way to the authoritative against the authoritarian : a conclusion

LCSH

Information retrieval

Subject

Information retrieval

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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