Model-Based Reasoning in Science, Technology, and Medicine

✍ Scribed by Lorenzo Magnani, Ping Li

Publisher: Springer
Year: 2007
Tongue: English
Leaves: 520
Series: Studies in Computational Intelligence
Edition: 1st Edition.
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

The volume is based on the papers that were presented at the international conference Model-Based Reasoning in Science and Medicine (MBR"06 China), held at Sun Yat-sen University, Guangzhou, P.R. China in July 2006. The presentations given at the conference explored how scientific thinking uses models and explanatory reasoning to produce creative changes in theories and concepts. Some addressed the problem of model-based reasoning in technology, and stressed the issue of technological innovation and medical reasoning. The various contributions of the book are written by interdisciplinary researchers who are active in the area of creative reasoning in science and technology: the most recent results and achievements about the topics above are illustrated in detail in the papers.

📜 SIMILAR VOLUMES

Model-Based Reasoning in Science, Techno

📁 Model-Based Reasoning in Science, Technology, and Medicine

✍ Director Lorenzo Magnani (auth.), Janusz Kacprzyk, Director Lorenzo Magnani, Pin 📂 Library 📅 2007 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

The volume is based on the papers that were presented at the international conference Model-Based Reasoning in Science and Medicine (MBR’06 China), held at Sun Yat-sen University, Guangzhou, P.R. China in July 2006. The presentations given at the conference explored how scientific thinking use

Model-Based Reasoning in Science, Techno

📁 Model-Based Reasoning in Science, Technology, and Medicine

✍ Frank Czerwinski 📂 Library 📅 2007 🏛 Springer 🌐 English

The volume is based on the papers that were presented at the international conference Model-Based Reasoning in Science and Medicine (MBR 06 China), held at Sun Yat-sen University, Guangzhou, P.R. China in July 2006. The presentations given at the conference explored how scientific thinking uses m

Model-Based Reasoning in Science and Tec

📁 Model-Based Reasoning in Science and Technology: Theoretical and Cognitive Issues

✍ Barbara Tversky (auth.), Lorenzo Magnani (eds.) 📂 Library 📅 2014 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

This book contains contributions presented during the international conference on Model-Based Reasoning (MBR´012), held on June 21-23 in Sestri Levante, Italy. Interdisciplinary researchers discuss in this volume how scientific cognition and other kinds of cognition make use of models, abducti

Model-based reasoning in science and tec

📁 Model-based reasoning in science and technology : theoretical and cognitive issues

✍ Magnani, Lorenzo 📂 Library 📅 2013 🏛 Springer 🌐 English

This book contains contributions presented during the international conference on Model-Based Reasoning (MBR´012), held on June 21-23 in Sestri Levante, Italy. Interdisciplinary researchers discuss in this volume how scientific cognition and other kinds of cognition make use of models, abduction

Model-based reasoning in science and tec

📁 Model-based reasoning in science and technology : theoretical and cognitive issues

✍ Magnani, Lorenzo 📂 Library 📅 2013 🏛 Springer 🌐 English

This book contains contributions presented during the international conference on Model-Based Reasoning (MBR'012), held on June 21-23 in Sestri Levante, Italy. Interdisciplinary researchers discuss in this volume how scientific cognition and other kinds of cognition make use of models, abduction, an

Model-Based Reasoning: Science, Technolo

📁 Model-Based Reasoning: Science, Technology, Values

✍ Mark Johnson (auth.), Lorenzo Magnani, Nancy J. Nersessian (eds.) 📂 Library 📅 2002 🏛 Springer US 🌐 English

The study of diagnostic, visual, spatial, analogical, and temporal reasoning has demonstrated that there are many ways of performing intelligent and creative reasoning that cannot be described with the help of traditional notions of reasoning, such as classical logic. Understanding the contribution