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Abstract

Information and meaning is the third book in a trilogy exploring the nature of information, intelligence and meaning. It begins by providing an overview of the first 2 works of the trilogy, then goes on to consider the meaning of meaning. This exploration leads to a theory of how the brain works. This book differs from others in the field, in that it is written from the perspective of a theoretical biologist looking at the evolution of information systems as a basis for studying the phenomena of information, intelligence and meaning. It describes how neurons create a brain which understands information inputs and then is able to operate on such information

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Abstract

Epistemology or the theory of knowledge is one of the cornerstones of analytic philosophy, and this book provides a clear and accessible introduction to the subject. It discusses some of the main theories of justification, including foundationalism, coherentism, reliabilism, and virtue epistemology. Other topics include the Gettier problem, internalism and externalism, skepticism, the problem of epistemic circularity, the problem of the criterion, a priori knowledge, and naturalized epistemology. Intended primarily for students taking a first class in epistemology, this lucid and well-written text would also provide an excellent introduction for anyone interested in knowing more about this important area of philosophy.

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Abstract

An Introduction to the Theory of Knowledge guides the reader through the key issues and debates in contemporary epistemology. Lucid, comprehensive and accessible, it is an ideal textbook for students who are new to the subject and for university undergraduates. The book is divided into five parts. Part I discusses the concept of knowledge and distinguishes between different types of knowledge. Part II surveys the sources of knowledge, considering both a priori and a posteriori knowledge. Parts III and IV provide an in-depth discussion of justification and scepticism. The final part of the book examines our alleged knowledge of the past, other minds, morality and God. O'Brien uses engaging examples throughout the book, taking many from literature and the cinema. He explains complex issues, such as those concerning the private language argument, non-conceptual content, and the new riddle of induction, in a clear and accessible way. This textbook is an invaluable guide to contemporary epistemology.

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Abstract

Knowledge and Inference discusses an important problem for software systems: How do we treat knowledge and ideas on a computer and how do we use inference to solve problems on a computer? The book talks about the problems of knowledge and inference for the purpose of merging artificial intelligence and library science. The book begins by clarifying the concept of ""knowledge"" from many points of view, followed by a chapter on the current state of library science and the place of artificial intelligence in library science. Subsequent chapters cover central topics in the artificial intelligence: search and problem solving, methods of making proofs, and the use of knowledge in looking for a proof. There is also a discussion of how to use the knowledge system. The final chapter describes a popular expert system. It describes tools for building expert systems using an example based on Expert Systems-A Practical Introduction by P. Sell (Macmillian, 1985). This type of software is called an ""expert system shell."" This book was written as a textbook for undergraduate students covering only the basics but explaining as much detail as possible.

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Abstract

This book addresses some of the key questions that scientists have been asking themselves for centuries: what is knowledge? What is information? How do we know that we know something? How do we construct meaning from the perceptions of things? Although no consensus exists on a common definition of the concepts of information and communication, few can reject the hypothesis that information - whether perceived as « object » or as « process » - is a pre-condition for knowledge. Epistemology is the study of how we know things (anglophone meaning) or the study of how scientific knowledge is arrived at and validated (francophone conception). To adopt an epistemological stance is to commit oneself to render an account of what constitutes knowledge or in procedural terms, to render an account of when one can claim to know something. An epistemological theory imposes constraints on the interpretation of human cognitive interaction with the world. It goes without saying that different epistemological theories will have more or less restrictive criteria to distinguish what constitutes knowledge from what is not. If information is a pre-condition for knowledge acquisition, giving an account of how knowledge is acquired should impact our comprehension of information and communication as concepts. While a lot has been written on the definition of these concepts, less research has attempted to establish explicit links between differing theoretical conceptions of these concepts and the underlying epistemological stances. This is what this volume attempts to do. It offers a multidisciplinary exploration of information and communication as perceived in different disciplines and how those perceptions affect theories of knowledge.

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Date

22. 7.2009 13:43:50

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Abstract

David J. Chalmers constructs a highly ambitious and original picture of the world, from a few basic elements. He develops and extends Rudolf Carnap's attempt to do the same in Der Logische Aufbau Der Welt (1928). Carnap gave a blueprint for describing the entire world using a limited vocabulary, so that all truths about the world could be derived from that description--but his Aufbau is often seen as a noble failure. In Constructing the World, Chalmers argues that something like the Aufbau project can succeed. With the right vocabulary and the right derivation relation, we can indeed construct the world. The focal point of Chalmers's project is scrutability: roughly, the thesis that ideal reasoning from a limited class of basic truths yields all truths about the world. Chalmers first argues for the scrutability thesis and then considers how small the base can be. All this can be seen as a project in metaphysical epistemology: epistemology in service of a global picture of the world and of our conception thereof. The scrutability framework has ramifications throughout philosophy. Using it, Chalmers defends a broadly Fregean approach to meaning, argues for an internalist approach to the contents of thought, and rebuts W. V. Quine's arguments against the analytic and the a priori. He also uses scrutability to analyze the unity of science, to defend a conceptual approach to metaphysics, and to mount a structuralist response to skepticism. Based on Chalmers's 2010 John Locke lectures, Constructing the World opens up debate on central areas of philosophy including philosophy of language, consciousness, knowledge, and reality. This major work by a leading philosopher will appeal to philosophers in all areas.