Ontology, Epistemology, and Teleology for Modeling and Simulation

Philosophical Foundations for Intelligent M&S Applications

  • Andreas Tolk

Part of the Intelligent Systems Reference Library book series (ISRL, volume 44)

Table of contents

  1. Front Matter
    Pages 1-16
  2. Chris Partridge, Andy Mitchell, Sergio de Cesare
    Pages 27-57
  3. Brian L. Heath, Ross A. Jackson
    Pages 89-103
  4. Paul Weirich
    Pages 105-119
  5. Andreas Pyka, Simon Deichsel
    Pages 141-156
  6. Tuncer Ören, Levent Yilmaz
    Pages 157-172
  7. Saikou Y. Diallo, Jose J. Padilla, Ipek Bozkurt, Andreas Tolk
    Pages 193-206
  8. Roger Smith
    Pages 241-254
  9. Kevin B. Korb, Nicholas Geard, Alan Dorin
    Pages 255-269
  10. Scott A. Douglass, Saurabh Mittal
    Pages 271-317
  11. Back Matter
    Pages 0--1

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.


Epistemology Intelligent Intelligent Agents Intelligent Systems M&S Ontology Philosophy of Science Teleology

Editors and affiliations

  • Andreas Tolk
    • 1
  1. 1.Dept. Engineering Management &, Systems EngineeringOld Dominion UniversityNorfolkUSA

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-642-31139-0
  • Online ISBN 978-3-642-31140-6
  • Series Print ISSN 1868-4394
  • Series Online ISSN 1868-4408
  • Buy this book on publisher's site
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