Model Based Reasoning In Science Technology And Medicine
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Model Based Reasoning In Science Technology And Medicine
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Author : Lorenzo Magnani
language : en
Publisher: Springer
Release Date : 2007-06-30
Model Based Reasoning In Science Technology And Medicine written by Lorenzo Magnani and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-06-30 with Technology & Engineering categories.
The volume is based on papers presented at the international conference on Model-Based Reasoning in Science and Medicine held in China in 2006. The presentations explore how scientific thinking uses models and explanatory reasoning to produce creative changes in theories and concepts. The contributions to the book are written by researchers active in the area of creative reasoning in science and technology. They include the subject area’s most recent results and achievements.
Model Based Reasoning In Science And Technology
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Author : Lorenzo Magnani
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-08-30
Model Based Reasoning In Science And Technology written by Lorenzo Magnani and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-08-30 with Computers categories.
Systematically presented to enhance the feasibility of fuzzy models, this book introduces the novel concept of a fuzzy network whose nodes are rule bases and their interconnections are interactions between rule bases in the form of outputs fed as inputs.
Model Based Reasoning In Science And Technology
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Author : Ángel Nepomuceno-Fernández
language : en
Publisher: Springer Nature
Release Date : 2019-10-24
Model Based Reasoning In Science And Technology written by Ángel Nepomuceno-Fernández and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-24 with Philosophy categories.
This book discusses how scientific and other types of cognition make use of models, abduction, and explanatory reasoning in order to produce important and innovative changes in theories and concepts. Gathering revised contributions presented at the international conference on Model-Based Reasoning (MBR18), held on October 24–26 2018 in Seville, Spain, the book is divided into three main parts. The first focuses on models, reasoning, and representation. It highlights key theoretical concepts from an applied perspective, and addresses issues concerning information visualization, experimental methods, and design. The second part goes a step further, examining abduction, problem solving, and reasoning. The respective papers assess different types of reasoning, and discuss various concepts of inference and creativity and their relationship with experimental data. In turn, the third part reports on a number of epistemological and technological issues. By analyzing possible contradictions in modern research and describing representative case studies, this part is intended to foster new discussions and stimulate new ideas. All in all, the book provides researchers and graduate students in the fields of applied philosophy, epistemology, cognitive science, and artificial intelligence alike with an authoritative snapshot of the latest theories and applications of model-based reasoning.
Models And Metaphors As Research Tools In Science
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Author : Pawel Zeidler
language : en
Publisher: LIT Verlag Münster
Release Date : 2013
Models And Metaphors As Research Tools In Science written by Pawel Zeidler and has been published by LIT Verlag Münster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with History categories.
The analysis of actual practice of scientific research within contemporary methodology and philosophy of science demonstrates the central role played by models and metaphors. This book puts forward an analysis of the basic reasons for this breakthrough and points to the major consequences that resulted from it, both for scientific practice and for the methodological and philosophical reflection on these practices. (Series: Development in Humanities - Vol. 10)
Scientific Cognition Semiotics And Computational Agents Essays In Honor Of Lorenzo Magnani Volume 2
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Author : Selene Arfini
language : en
Publisher: Springer Nature
Release Date : 2025-09-19
Scientific Cognition Semiotics And Computational Agents Essays In Honor Of Lorenzo Magnani Volume 2 written by Selene Arfini and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-19 with Philosophy categories.
This book, the second of two volumes, focuses on scientific cognition, computationalism, and scholars' reception of what Lorenzo Magnani named "eco-cognitive" views on the mind. The authors of these chapters address complex questions, which regard, in part, Magnani’s contributions in the field of model-based science, the role of inferential models in mathematics, the transformations and possible applicability of Charles Sanders Peirce’s and Immanuel Kant’s concepts and insight into current understanding of scientific progress, and the still unsolved questions regarding the methodological steps that take researchers to scientific discoveries. Some contributions also address the problematic understanding of artificial agents as "intelligent," how cognition can be discussed within the limits of computationalism, and how the eco-cognitive perspective on the mind also affects the conception of scientific reasoning and socially constructed phenomena. The book is of great interest to those interested in epistemology, philosophy of science, mathematical logic and AI.
Robotic Exploration And Landmark Determination
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Author : K. Sridharan
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-01-04
Robotic Exploration And Landmark Determination written by K. Sridharan and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-04 with Technology & Engineering categories.
This book presents hardware-efficient algorithms and FPGA implementations for two robotic tasks, namely exploration and landmark determination. The work identifies scenarios for mobile robotics where parallel processing and selective shutdown offered by FPGAs are invaluable. The book proceeds to systematically develop memory-driven VLSI architectures for both the tasks. The architectures are ported to a low-cost FPGA with a fairly small number of system gates.
Rule Extraction From Support Vector Machines
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Author : Joachim Diederich
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-01-04
Rule Extraction From Support Vector Machines written by Joachim Diederich and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-04 with Mathematics categories.
Support vector machines (SVMs) are one of the most active research areas in machine learning. SVMs have shown good performance in a number of applications, including text and image classification. However, the learning capability of SVMs comes at a cost – an inherent inability to explain in a comprehensible form, the process by which a learning result was reached. Hence, the situation is similar to neural networks, where the apparent lack of an explanation capability has led to various approaches aiming at extracting symbolic rules from neural networks. For SVMs to gain a wider degree of acceptance in fields such as medical diagnosis and security sensitive areas, it is desirable to offer an explanation capability. User explanation is often a legal requirement, because it is necessary to explain how a decision was reached or why it was made. This book provides an overview of the field and introduces a number of different approaches to extracting rules from support vector machines developed by key researchers. In addition, successful applications are outlined and future research opportunities are discussed. The book is an important reference for researchers and graduate students, and since it provides an introduction to the topic, it will be important in the classroom as well. Because of the significance of both SVMs and user explanation, the book is of relevance to data mining practitioners and data analysts.
Hybrid Evolutionary Algorithms
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Author : Crina Grosan
language : en
Publisher: Springer
Release Date : 2007-08-29
Hybrid Evolutionary Algorithms written by Crina Grosan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-08-29 with Computers categories.
This edited volume is targeted at presenting the latest state-of-the-art methodologies in "Hybrid Evolutionary Algorithms". The chapters deal with the theoretical and methodological aspects, as well as various applications to many real world problems from science, technology, business or commerce. Overall, the book has 14 chapters including an introductory chapter giving the fundamental definitions and some important research challenges. The contributions were selected on the basis of fundamental ideas/concepts rather than the thoroughness of techniques deployed.
Perspectives Of Neural Symbolic Integration
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Author : Barbara Hammer
language : en
Publisher: Springer
Release Date : 2007-08-14
Perspectives Of Neural Symbolic Integration written by Barbara Hammer and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-08-14 with Technology & Engineering categories.
The human brain possesses the remarkable capability of understanding, - terpreting, and producing human language, thereby relying mostly on the left hemisphere. The ability to acquire language is innate as can be seen from d- orders such as speci?c language impairment (SLI), which manifests itself in a missing sense for grammaticality. Language exhibits strong compositionality and structure. Hence biological neural networks are naturally connected to processing and generation of high-level symbolic structures. Unlike their biological counterparts, arti?cial neural networks and logic do not form such a close liason. Symbolic inference mechanisms and statistical machine learning constitute two major and very di?erent paradigms in ar- ?cial intelligence which both have their strengths and weaknesses: Statistical methods o?er ?exible and highly e?ective tools which are ideally suited for possibly corrupted or noisy data, high uncertainty and missing information as occur in everyday life such as sensor streams in robotics, measurements in medicine such as EEG and EKG, ?nancial and market indices, etc. The m- els, however, are often reduced to black box mechanisms which complicate the integration of prior high level knowledge or human inspection, and they lack theabilitytocopewitharichstructureofobjects,classes,andrelations. S- bolic mechanisms, on the other hand, are perfectly applicative for intuitive human-machine interaction, the integration of complex prior knowledge, and well founded recursive inference. Their capability of dealing with uncertainty andnoiseandtheire?ciencywhenaddressingcorruptedlargescalereal-world data sets, however, is limited. Thus, the inherent strengths and weaknesses of these two methods ideally complement each other.
Advances In Intelligent And Distributed Computing
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Author : Costin Badica
language : en
Publisher: Springer
Release Date : 2010-04-25
Advances In Intelligent And Distributed Computing written by Costin Badica and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-04-25 with Computers categories.
This book presents the proceedings of the 1st International Symposium on Intelligent and Distributed Computing, IDC 2007, held in Craiova, Romania, October 2007. Coverage includes: autonomous and adaptive computing; data mining and knowledge discovery; distributed problem solving and decision making; e-business, e-health and e-learning; genetic algorithms; image processing; information retrieval; intelligence in mobile and ubiquitous computing.