000 04011nam a22005175i 4500
001 978-3-642-31140-6
003 DE-He213
005 20200420220220.0
007 cr nn 008mamaa
008 120810s2013 gw | s |||| 0|eng d
020 _a9783642311406
_9978-3-642-31140-6
024 7 _a10.1007/978-3-642-31140-6
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
245 1 0 _aOntology, Epistemology, and Teleology for Modeling and Simulation
_h[electronic resource] :
_bPhilosophical Foundations for Intelligent M&S Applications /
_cedited by Andreas Tolk.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2013.
300 _aXX, 372 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aIntelligent Systems Reference Library,
_x1868-4394 ;
_v44
505 0 _aFrom the Contents: Truth, Trust, and Turing - Constraints for Modeling and Simulation -- Guidelines for Developing Ontological Architectures in Modeling 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 Organization Theories -- Cutting Back Models and Simulations -- Philosophical Aspects of Modeling and Simulation -- Philosophical and Theoretic Underpinnings of Simulation Visualization Rhetoric and their Practical Implications.
520 _aIn 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.
650 0 _aEngineering.
650 0 _aEpistemology.
650 0 _aPhilosophy.
650 0 _aArtificial intelligence.
650 0 _aComputational intelligence.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aEpistemology.
650 2 4 _aPhilosophy of Technology.
700 1 _aTolk, Andreas.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642311390
830 0 _aIntelligent Systems Reference Library,
_x1868-4394 ;
_v44
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-31140-6
912 _aZDB-2-ENG
942 _cEBK
999 _c51864
_d51864