Ontology, Epistemology, and Teleology for Modeling and Simulation: Philosophical Foundations for Intelligent M&S Applications

  • 8h 20m
  • Andreas Tolk (ed)
  • Springer
  • 2012

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.

About the Author

I am Technology Integrator for the Modeling, Simulation, Experimentation, and Analytics (MSEA) Division of The MITRE Corporation.

Until recently, I have been a professor for systems engineering and engineering management at Old Dominion University, and I am still an adjunct faculty member. As such, I am interested in methods and solutions that bring the engineering side and the management side of organizations closer together. As I hold a PhD in Computer Science, the use of computer-based methods became my focal point. However, as a systems engineer - or better a system of systems engineering scholar - I know very well that conceptual challenges cannot be solved by throwing tools at someone. Only when mature technology, educated workforce, and supporting management come together, a solution will be successful.

In this Book

  • Foreword
  • Truth, Trust, and Turing – Constraints for Modeling and Simulation
  • Guidelines for Developing Ontological Architectures in Modelling and Simulation
  • Ontologies in Modeling and Simulation an Epistemological Perspective
  • Ontological Implications of Modeling and Simulation in Postmodernity
  • Models as Partial Explanations
  • Theory Reconstruction of Several Versions of Modern Organisation Theories
  • Cutting Back Models and Simulations
  • Philosophical Aspects of Modeling and Simulation
  • Philosophical and Theoretic Underpinnings of Simulation Visualization Rhetoric and Their Practical Implications
  • Modeling and Simulation as a Theory Building Paradigm
  • Toward Replicability-Aware Modeling and Simulation—Changing the Conduct of M&S in the Information Age
  • Immersed in Immersion—Simulation as Technology and Theory of Mind
  • On the Value of a Taxonomy in Modeling
  • A Bayesian Approach to the Validation of Agent-Based Models
  • A Framework for Modeling and Simulation of the Artificial
  • Semantic Validation of Emergent Properties in Component-Based Simulation Models
  • Ontological, Epistemological, and Teleological Perspectives on Service-Oriented Simulation Frameworks
  • Epilogue – Modeling and Simulation as a Humble Approach