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1. |
Record Nr. |
UNINA9910449981103321 |
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Autore |
Baird Davis |
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Titolo |
Thing knowledge [[electronic resource] ] : a philosophy of scientific instruments / / Davis Baird |
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Pubbl/distr/stampa |
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Berkeley, Calif., : University of California Press, c2004 |
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ISBN |
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9786612356681 |
0-520-92820-2 |
1-282-35668-2 |
1-59734-950-X |
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Descrizione fisica |
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1 online resource (297 p.) |
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Classificazione |
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Disciplina |
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Soggetti |
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Scientific apparatus and instruments |
Science - Philosophy |
Science - Technological innovations |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references (p. 239-259) and index. |
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Nota di contenuto |
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Instrument epistemology -- Models : representing things -- Working knowledge -- Encapsulating knowledge -- Instrumentation revolution -- Thing knowledge -- The thing-y-ness of things -- Between technology and science -- Instrumental objectivity -- The gift. |
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Sommario/riassunto |
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Western philosophers have traditionally concentrated on theory as the means for expressing knowledge about a variety of phenomena. This absorbing book challenges this fundamental notion by showing how objects themselves, specifically scientific instruments, can express knowledge. As he considers numerous intriguing examples, Davis Baird gives us the tools to "read" the material products of science and technology and to understand their place in culture. Making a provocative and original challenge to our conception of knowledge itself, Thing Knowledge demands that we take a new look at theories of science and technology, knowledge, progress, and change. Baird considers a wide range of instruments, including Faraday's first electric motor, eighteenth-century mechanical models of the solar system, the cyclotron, various instruments developed by analytical chemists |
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between 1930 and 1960, spectrometers, and more. |
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2. |
Record Nr. |
UNINA9910349416803321 |
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Titolo |
Artificial General Intelligence : 11th International Conference, AGI 2018, Prague, Czech Republic, August 22-25, 2018, Proceedings / / edited by Matthew Iklé, Arthur Franz, Rafal Rzepka, Ben Goertzel |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
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ISBN |
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Edizione |
[1st ed. 2018.] |
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Descrizione fisica |
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1 online resource (XI, 311 p. 56 illus.) |
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Collana |
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Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 10999 |
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Disciplina |
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Soggetti |
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Artificial intelligence |
User interfaces (Computer systems) |
Human-computer interaction |
Software engineering |
Computer vision |
Computer engineering |
Computer networks |
Artificial Intelligence |
User Interfaces and Human Computer Interaction |
Software Engineering |
Computer Vision |
Computer Engineering and Networks |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Hybrid Strategies Towards Safe "Self-Aware" Super-intelligent Systems -- Request Confirmation Networks in MicroPsi 2 -- Task Analysis for Teaching Cumulative Learners -- Associative Memory: A Spiking Neural Network Robotic Implementation -- A Comprehensive Ethical Framework for AI Entities: Foundations -- Partial Operator Induction |
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with Beta Distributions -- Solving Tree Problems with Category Theory -- Goal-directed Procedure Learning -- Can Machines Design? An Artificial General Intelligence Approach -- Resource-constrained Social Evidence Based Cognitive Model for Empathy-driven Artificial Intelligence -- Unsupervised Language Learning in OpenCog -- Functionalist Emotion Model in NARS -- Towards a Sociological Conception of Artificial Intelligence -- Efficient Concept Formation in Large State Spaces -- DSO Cognitive Architecture: Implementation and Validation of the Global Workspace Enhancement -- The Foundations of Deep Learning with a Path Towards General Intelligence -- Zeta Distribution and Transfer Learning Problem -- Vision System for AGI: Problems and Directions -- Semantic Image Retrieval by Uniting Deep Neural Networks and Cognitive Architectures -- The Temporal Singularity: Time-accelerated Simulated Civilizations and Their Implications -- A Computational Theory for Life-Long Learning of Semantics -- Cumulative Learning with Causal-Relational Models -- Transforming Kantian Aesthetic Principles into Qualitative Hermeneutics for Contemplative AGI Agents -- Towards General Evaluation of Intelligent Systems: Using Semantic Analysis to Improve Environments in the AIQ Test -- Perception from an AGI Perspective -- A Phenomenologically Justifiable Simulation of Mental Modeling -- A Time-critical Simulation of Language Comprehension -- How Failure Facilitates Success -- Adaptive Compressed Search. |
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Sommario/riassunto |
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This book constitutes the proceedings of the 11th International Conference on Artificial General Intelligence, AGI 2018, held in Prague, Czech Republic, in August 2018. The 19 regular papers and 10 poster papers presented in this book were carefully reviewed and selected from 52 submissions. The conference encourage interdisciplinary research based on different understandings of intelligence, and exploring different approaches. As the AI field becomes increasingly commercialized and well accepted, maintaining and emphasizing a coherent focus on the AGI goals at the heart of the field remains more critical than ever. |
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