Listing 1 - 2 of 2 |
Sort by
|
Choose an application
The concept of ‘performativity’ has risen to prominence throughout the humanities. The rise of financial derivatives reflects the power of the performative sign in the economic sphere. As recent debates about gender identity show, the concept of performativity is also profoundly influential on people’s personal lives. Although the autonomous power of representation has been studied in disciplines ranging from economics to poetics, however, it has not yet been evaluated in ethical terms. This book supplies that deficiency, providing an ethical critique of performative representation as it is manifested in semiotics, linguistics, philosophy, poetics, theology and economics. It constructs a moral criticism of the performative sign in two ways: first, by identifying its rise to power as a single phenomenon manifested in various different areas; and second, by locating efficacious representation in its historical context, thus connecting it to idolatry, magic, usury and similar performative signs. The book concludes by suggesting that earlier ethical critiques of efficacious representation might be revived in our own postmodern era. .
Economic history. --- Ethics. --- Finance—History. --- Economic History. --- Financial History. --- Deontology --- Ethics, Primitive --- Ethology --- Moral philosophy --- Morality --- Morals --- Philosophy, Moral --- Science, Moral --- Philosophy --- Values --- Economic conditions --- History, Economic --- Economics --- Performative (Philosophy) --- Philosophy. --- Performativity (Philosophy) --- Language and languages --- Methodology --- Semantics (Philosophy)
Choose an application
This book addresses controversies concerning the epistemological foundations of data science: Is it a genuine science? Or is data science merely some inferior practice that can at best contribute to the scientific enterprise, but cannot stand on its own? The author proposes a coherent conceptual framework with which these questions can be rigorously addressed. Readers will discover a defense of inductivism and consideration of the arguments against it: an epistemology of data science more or less by definition has to be inductivist, given that data science starts with the data. As an alternative to enumerative approaches, the author endorses Federica Russo’s recent call for a variational rationale in inductive methodology. Chapters then address some of the key concepts of an inductivist methodology including causation, probability and analogy, before outlining an inductivist framework. The inductivist framework is shown to be adequate and useful for an analysis of the epistemological foundations of data science. The author points out that many aspects of the variational rationale are present in algorithms commonly used in data science. Introductions to algorithms and brief case studies of successful data science such as machine translation are included. Data science is located with reference to several crucial distinctions regarding different kinds of scientific practices, including between exploratory and theory-driven experimentation, and between phenomenological and theoretical science. Computer scientists, philosophers and data scientists of various disciplines will find this philosophical perspective and conceptual framework of great interest, especially as a starting point for further in-depth analysis of algorithms used in data science. .
Knowledge, Theory of. --- Analysis (Philosophy) --- Mathematical statistics. --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Epistemology --- Theory of knowledge --- Philosophy --- Psychology --- Statistical methods --- Technology --- Data structures (Computer science). --- Information theory. --- System theory. --- Computer science --- Analysis (Philosophy). --- Philosophy of Technology. --- Data Structures and Information Theory. --- Complex Systems. --- Probability and Statistics in Computer Science. --- Analytic Philosophy. --- Philosophy. --- Mathematics. --- Analysis, Linguistic (Philosophy) --- Analysis, Logical --- Analysis, Philosophical --- Analytic philosophy --- Analytical philosophy --- Linguistic analysis (Philosophy) --- Logical analysis --- Philosophical analysis --- Philosophy, Analytical --- Language and languages --- Methodology --- Logical positivism --- Semantics (Philosophy) --- Computer mathematics --- Electronic data processing --- Systems, Theory of --- Systems science --- Science --- Communication theory --- Communication --- Cybernetics --- Information structures (Computer science) --- Structures, Data (Computer science) --- Structures, Information (Computer science) --- File organization (Computer science) --- Abstract data types (Computer science) --- Technology and civilization
Listing 1 - 2 of 2 |
Sort by
|