Overview
- A compendium on Ontology, Epistemology, and Teleology for Modeling and Simulation
- What do we know, how do we gain knowledge, and why and when can we rely on the recommendations of Modeling and simulation
- Written by leading experts in the field
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 44)
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Table of contents (17 chapters)
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Front Matter
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Back Matter
Keywords
About this book
In this book, internationally recognized experts in philosophy of science, computer science, and modeling and simulation are contributing to the discussion on how ontology, epistemology, and teleology will contribute to enable the next generation of intelligent modeling and simulation applications.
It is well understood that a simulation can provide the technical means to display the behavior of a system over time, including following observed trends to predict future possible states, but how reliable and trustworthy are such predictions? The questions about what we can know (ontology), how we gain new knowledge (epistemology), and what we do with this knowledge (teleology) are therefore illuminated from these very different perspectives, as each experts uses a different facet to look at these challenges. The result of bringing these perspectives into one book is a challenging compendium that gives room for a spectrum of challenges: from general philosophy questions, such as can we use modeling and simulation and other computational means at all to discover new knowledge, down to computational methods to improve semantic interoperability between systems or methods addressing how to apply the recent insights of service oriented approaches to support distributed artificial intelligence.
As such, this book has been compiled as an entry point to new domains for students, scholars, and practitioners and to raise the curiosity in them to learn more to fully address the topics of ontology, epistemology, and teleology from philosophical, computational, and conceptual viewpoints.
Reviews
From the reviews:
Selected by Computing Reviews as one of the Best Reviews & Notable Books of 2013
“The clarity and style of writing make them accessible to readers coming from the sciences, engineering, or economics. … This is a book worth reading and rereading.” (Anthony J. Duben, Computing Reviews, August, 2013)Editors and Affiliations
Bibliographic Information
Book Title: Ontology, Epistemology, and Teleology for Modeling and Simulation
Book Subtitle: Philosophical Foundations for Intelligent M&S Applications
Editors: Andreas Tolk
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-642-31140-6
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2013
Hardcover ISBN: 978-3-642-31139-0Published: 08 August 2012
Softcover ISBN: 978-3-642-44281-0Published: 20 September 2014
eBook ISBN: 978-3-642-31140-6Published: 10 August 2012
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XX, 372
Topics: Computational Intelligence, Artificial Intelligence, Epistemology, Philosophy of Technology