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Titulos:
Model-Based Reasoning in Science and Technology Logical, Epistemological, and Cognitive Issues / edited by Lorenzo Magnani, Claudia Casadio.
ISBN:
3-319-38983-1
Lugar de Edición:
Editor:
Fecha de Edición:
Edición #:
1st ed. 2016.
Notas #:
"This volume is a collection of selected papers that were presented at the international conference Model-Based Reasoning in Science and Technology."
Notas Formateada:
PART 1 Models, Mental Models, and Representations -- PART 2 Abduction, Problem Solving, and Practical Reasoning -- PART 3 Historical, Epistemological, and Technological Issues. .
Nota de contenido:
This book discusses how scientific and other types of cognition make use of models, abduction, and explanatory reasoning in order to produce important or creative changes in theories and concepts. It includes revised contributions presented during the international conference on Model-Based Reasoning (MBR015), held on June 25-27 in Sestri Levante, Italy. The book is divided into three main parts, the first of which focuses on models, reasoning and representation. It highlights key theoretical concepts from an applied perspective, addressing issues concerning information visualization, experimental methods and design. The second part goes a step further, examining abduction, problem solving and reasoning. The respective contributions analyze different types of reasoning, discussing various concepts of inference and creativity and their relationship with experimental data. In turn, the third part reports on a number of historical, epistemological and technological issues. By analyzing possible contradictions in modern research and describing representative case studies in experimental research, this part aims at fostering new discussions and stimulating new ideas. All in all, the book provides researchers and graduate students in the field of applied philosophy, epistemology, cognitive science and artificial intelligence alike with an authoritative snapshot of current theories and applications of model-based reasoning. .
Palabras clave:
Genetic epistemology.; Engineering.; Artificial intelligence.; Logic.; Epistemology.; Computational Intelligence.; Artificial Intelligence.; Logic.

Leader:
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Campo 245:
10^aModel-Based Reasoning in Science and Technology^h[electronic resource] :^bLogical, Epistemological, and Cognitive Issues /^cedited by Lorenzo Magnani, Claudia Casadio.
Campo 246:
Campo 250:
^a1st ed. 2016.
Campo 300:
^a1 online resource (XII, 678 p. 44 illus., 9 illus. in color.)
Campo 490:
1 ^aStudies in Applied Philosophy, Epistemology and Rational Ethics,^x2192-6255 ;^v27
Campo 500:
^a"This volume is a collection of selected papers that were presented at the international conference Model-Based Reasoning in Science and Technology."
Campo 505:
0 ^aPART 1 Models, Mental Models, and Representations -- PART 2 Abduction, Problem Solving, and Practical Reasoning -- PART 3 Historical, Epistemological, and Technological Issues. .
Campo 520:
^aThis book discusses how scientific and other types of cognition make use of models, abduction, and explanatory reasoning in order to produce important or creative changes in theories and concepts. It includes revised contributions presented during the international conference on Model-Based Reasoning (MBR015), held on June 25-27 in Sestri Levante, Italy. The book is divided into three main parts, the first of which focuses on models, reasoning and representation. It highlights key theoretical concepts from an applied perspective, addressing issues concerning information visualization, experimental methods and design. The second part goes a step further, examining abduction, problem solving and reasoning. The respective contributions analyze different types of reasoning, discussing various concepts of inference and creativity and their relationship with experimental data. In turn, the third part reports on a number of historical, epistemological and technological issues. By analyzing possible contradictions in modern research and describing representative case studies in experimental research, this part aims at fostering new discussions and stimulating new ideas. All in all, the book provides researchers and graduate students in the field of applied philosophy, epistemology, cognitive science and artificial intelligence alike with an authoritative snapshot of current theories and applications of model-based reasoning. .
Campo 650:
0^aGenetic epistemology.
Campo 650:
0^aEngineering.
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0^aArtificial intelligence.
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0^aLogic.
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14^aEpistemology.^0http://scigraph.springernature.com/things/product-market-codes/E13000
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24^aComputational Intelligence.^0http://scigraph.springernature.com/things/product-market-codes/T11014
Campo 650:
24^aArtificial Intelligence.^0http://scigraph.springernature.com/things/product-market-codes/I21000
Campo 650:
24^aLogic.^0http://scigraph.springernature.com/things/product-market-codes/E16000
Campo 700:
1 ^aMagnani, Lorenzo.^eeditor.^4edt^4http://id.loc.gov/vocabulary/relators/edt
Campo 700:
1 ^aCasadio, Claudia.^eeditor.^4edt^4http://id.loc.gov/vocabulary/relators/edt
Proveniencia:
^aUniversidad de San Andrés - Biblioteca Max Von Buch
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Institucion:
Universidad de San Andrés
Dependencia:
Biblioteca Max Von Buch

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