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  • × subject_ss:"Knowledge, Theory of"
  1. Chalmers, D.J.: Constructing the world (2012) 0.01
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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.
  2. Nagao, M.: Knowledge and inference (1990) 0.01
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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.
  3. Lemos, N.M.: ¬An introduction to the theory of knowledge (2007) 0.01
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    Footnote
    Rez. in: Library review 56(2007) no.7, S.xxx-xxx (S. Hannabuss)
  4. Philosophy, computing and information science (2014) 0.00
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    Content
    Introduction: Philosophy's Relevance in Computing and Information Science - Ruth Hagengruber and Uwe V.Riss Part I: Philosophy of Computing and Information 1 The Fourth Revolution in our Self-Understanding - Luciano Floridi -- 2 Information Transfer as a Metaphor - Jakob Krebs -- 3 With Aristotle towards a Differentiated Concept of Information? - Uwe Voigt -- 4 The Influence of Philosophy on the Understanding of Computing and Information - Klaus Fuchs-Kittowski -- Part II: Complexity and System Theory 5 The Emergence of Self-Conscious Systems: From Symbolic AI to Embodied Robotics - Klaus Mainzer -- 6 Artificial Intelligence as a New Metaphysical Project - Aziz F. Zambak Part III: Ontology 7 The Relevance of Philosophical Ontology to Information and Computer Science - Barry Smith -- 8 Ontology, its Origins and its Meaning in Information Science - Jens Kohne -- 9 Smart Questions: Steps towards an Ontology of Questions and Answers - Ludwig Jaskolla and Matthias Rugel Part IV: Knowledge Representation 10 Sophisticated Knowledge Representation and Reasoning Requires Philosophy - Selmer Bringsjord, Micah Clark and Joshua Taylor -- 11 On Frames and Theory-Elements of Structuralism Holger Andreas -- 12 Ontological Complexity and Human Culture David J. Saab and Frederico Fonseca Part V: Action Theory 13 Knowledge and Action between Abstraction and Concretion - Uwe V.Riss -- 14 Action-Directing Construction of Reality in Product Creation Using Social Software: Employing Philosophy to Solve Real-World Problems - Kai Holzweifiig and Jens Krüger -- 15 An Action-Theory-Based Treatment ofTemporal Individuals - Tillmann Pross -- 16 Four Rules for Classifying Social Entities - Ludger Jansen Part VI: Info-Computationalism 17 Info-Computationalism and Philosophical Aspects of Research in Information Sciences - Gordana Dodig-Crnkovic -- 18 Pancomputationalism: Theory or Metaphor ? - Vincent C. Mutter Part VII: Ethics 19 The Importance of the Sources of Professional Obligations - Francis C. Dane
  5. Breidbach, O.: Neue Wissensordnungen : wie aus Informationen und Nachrichten kulturelles Wissen entsteht (2008) 0.00
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    Date
    22. 7.2009 13:43:50

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