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Guidelines for Developing Ontological Architectures in Modelling and Simulation

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Ontology, Epistemology, and Teleology for Modeling and Simulation

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

Introduction

This book is motivated by the belief that “a better understanding of ontology, epistemology, and teleology” is essential for enabling Modelling and Simulation (M&S) systems to reach the next level of ‘intelligence’. This chapter focuses on one broad category of M&S systems where the connection is more concrete; ones where building an ontology – and, we shall suggest, an epistemology – as an integrated part of their design will enable them to reach the next level of ‘intelligence’.

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References

  1. Morgan, M.S.: Experiments without material intervention: Model experiments, virtual experiments and virtually experiments. In: Radder, H. (ed.) The Philosophy of Scientific Experimentation, pp. 216–235. University of Pittsburgh Press, Pittsburgh (2003)

    Google Scholar 

  2. Parker, W.: Does matter really matter? Computer simulations, experiments, and materiality. Synthese 169(3), 483–496 (2009), doi:10.1007/s11229-008-9434-3

    Article  Google Scholar 

  3. Humphreys, P.: Extending ourselves: computational science, empiricism, and scientific method. Oxford University Press, New York (2004)

    Google Scholar 

  4. Balci, O., Arthur, J.D., Ormsby, W.F.: Achieving reusability and composability with a simulation conceptual model. Journal of Simulation 5, 157–165 (2011), doi:10.1057/jos.2011.7

    Article  Google Scholar 

  5. Hofmann, M., Palii, J., Mihelcic, G.: Epistemic and normative aspects of ontologies in modelling and simulation. J. of Simulation 5(3), 135–146 (2011)

    Article  Google Scholar 

  6. Christley, S., Xiang, X., Madey, G.: An ontology for agent-based modeling and simulation. In: Macal, C.M., Sallach, D., North, M.J. (eds.) Agent 2004 Conference on Social Dynamics: Interaction, Reflexivity and Emergence, October 7-9 (2004)

    Google Scholar 

  7. Miller, J.A., Baramidze, G.T., Sheth, A.P., Fishwick, P.A.: Investigating Ontologies for Simulation Modeling. In: 37th Annual Simulation Symposium, ANSS, Arlington, VA, pp. 55–71. IEEE Computer Society (2004)

    Google Scholar 

  8. Benjamin, P., Patki, M., Mayer, R.: Using ontologies for simulation modeling. In: Perrone, L.F., Wieland, F.P., Liu, J., Lawson, B.G., Nicol, D.M., Fujimoto, R.M. (eds.) 38th Conference on Winter Simulation, Monterey, California, pp. 1151–1159. IEEE (2006)

    Google Scholar 

  9. Bell, D., Mustafee, N., de Cesare, S., Taylor, S.J.E., Lycett, M., Fishwick, P.A.: Ontology Engineering for Simulation Component Reuse. Int. J. Enterprise Information Systems 4(4), 47–61 (2008), doi:10.4018/jeis.2008100104

    Article  Google Scholar 

  10. Guizzardi, G., Wagner, G.: Using the Unified Foundational Ontology (UFO) as a Foundation for General Conceptual Modeling Languages. In: Poli, R., Healy, M., Kameas, A. (eds.) Theory and Application of Ontologies, pp. 175–196. Springer, Netherlands (2010)

    Chapter  Google Scholar 

  11. Guizzardi, G., Wagner, G.: Towards an ontological foundation of discrete event simulation. In: Johanson, B., Jain, S., Montoya-Torres, J., Hugan, J., Yücesan, E. (eds.) 2010 Winter Simulation Conference, Baltimore, pp. 652–664. IEEE (2010)

    Google Scholar 

  12. Livet, P., Muller, J.P., Phan, D., Sanders, L.: Ontology, a mediator for agent-based modeling in social science. Journal of Artificial Societies and Social Simulation 13(1), 3 (2010)

    Google Scholar 

  13. Taylor, S.J.E., Bell, D., Mustafee, N., de Cesare, S., Lycett, M., Fishwick, P.A.: Semantic web services for simulation component reuse and interoperability: An ontology approach. In: Gunasekaran, A., Shea, T. (eds.) Organizational Advancements Through Enterprise Information Systems: Emerging Applications and Developments. IGI Gobal Inc., Hershey (2010)

    Google Scholar 

  14. Ezzell, Z., Fishwick, P.A., Lok, B., Pitkin, A., Lampotang, S.: An ontology-enabled user interface for simulation model construction and visualization. J. of Simulation 5(3), 147–156 (2011)

    Article  Google Scholar 

  15. Lacy, L., Gerber, W.: Potential modeling and simulation applications of the web ontology language-OWL. In: 2004 Winter Simulation Conference, Piscataway. IEEE (2004)

    Google Scholar 

  16. Partridge, C.: Business Objects: Re - Engineering for re - use. Butterworth Heinemann, Oxford (1996)

    Google Scholar 

  17. Partridge, C.: Business Objects: Re - Engineering for re - use, 2nd edn. BORO Centre (2005)

    Google Scholar 

  18. Booch, G.: Nine Things You Can Do with Old Software. IEEE Software 25(5), 93–94 (2008), doi:10.1109/MS.2008.139

    Article  Google Scholar 

  19. Bailey, I.: A Forensic Approach to Information Systems Development. Cutter Consortium (2008)

    Google Scholar 

  20. Bailey, I.: Enterprise Ontologies – Better Models of Business. In: Tolk, A., Jain, L.C. (eds.) Intelligence-Based Systems Engineering. ISRL, vol. 10, pp. 327–342. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  21. Daga, A., de Cesare, S., Lycett, M., Partridge, C.: An ontological approach for recovering legacy business content, p. 224a. IEEE (2005)

    Google Scholar 

  22. Partridge, C., Lambert, M., Loneragan, M., Mitchell, A., Garbacz, P.: A novel ontological approach to semantic interoperability between legacy air defence command and control systems. International Journal of Intelligent Defence Support Systems 4(3), 232–262 (2011), doi:10.1504/ijidss.2011.043357

    Article  Google Scholar 

  23. Kuhn, T.S.: Objectivity, value judgment, and theory choice. In: The Essential Tension: Selected Studies in Scientific Tradition and Change, pp. 320–339. University of Chicago Press (1977)

    Google Scholar 

  24. Morgan, M.S., Morrison, M.: Models as mediators: perspectives on natural and social science. Cambridge University Press, Cambridge (1999)

    Book  Google Scholar 

  25. Honderich, T. (ed.): The Oxford Companion to Philosophy. Cambridge University Press, Cambridge (2005)

    Google Scholar 

  26. Naur, P.: Programming as theory building. Microprocessing and Microprogramming 15(5), 253–261 (1985), doi:10.1016/0165-6074(85)90032-8

    Article  Google Scholar 

  27. Kant, I.: Immanuel Kant’s Critique of pure reason. Macmillan, London (1929)

    Google Scholar 

  28. Frege, G.: Die Grundlagen der Arithmetik. Breslau (1884)

    Google Scholar 

  29. Frege, G.: Grundgesetze der arithmetik. H. Pohle, Jena (1893)

    MATH  Google Scholar 

  30. Mealy, G.H.: Another look at data. In: Fall Joint Computer Conference, Anaheim, California, November 14-16, pp. 525–534. ACM (1967), doi:10.1145/1465611.1465682

    Google Scholar 

  31. Kent, W.: Data and reality: basic assumptions in data processing reconsidered. North-Holland Pub. Co., Amsterdam (1978)

    Google Scholar 

  32. Hirschheim, R.A., Klein, H.K., Lyytinen, K.: Information systems development and data modeling: conceptual and philosophical foundations. Cambridge University Press, Cambridge (1995)

    Book  MATH  Google Scholar 

  33. Kusnierczyk, W.: Nontological Engineering. In: Formal Ontology in Information System, FOIS 2006, pp. 39–50. IOS Press (2006)

    Google Scholar 

  34. Smith, B.: Beyond Concepts: Ontology as Reality Representation. In: Formal Ontology and Information Systems, FOIS, Amsterdam, pp. 73–84. IOS Press (2004)

    Google Scholar 

  35. Smith, B., Ceusters, W., Temmerman, R.: Wusteria. Studies in Health Technology and Informatics 116, 647–652 (2005)

    Google Scholar 

  36. Tolk, A.: M&S Body of Knowledge: Progress Report and Look Ahead. M&S Magazine 4 (October 2010)

    Google Scholar 

  37. Locke, J.: An essay concerning human understanding. The Clarendon edition of the works of John Locke. Clarendon Press, Oxford (1979)

    Google Scholar 

  38. Hume, D.: A treatise of human nature, 2nd edn. Clarendon Press, Oxford (1978)

    Google Scholar 

  39. Pinker, S.: The Language Instinct: The New Science of Language and Mind, 1st edn. W. Morrow and Co., New York (1994)

    Google Scholar 

  40. Carruthers, P.: Phenomenal consciousness: a naturalistic theory. Cambridge University Press, Cambridge (2000)

    Book  Google Scholar 

  41. Millikan, R.G.: On clear and confused ideas: an essay about substance concepts. Cambridge Studies in Philosophy. Cambridge University Press, Cambridge (2000)

    Book  Google Scholar 

  42. Fodor, J.A.: Hume variations. Lines of thought. Clarendon Press, Oxford (2003)

    Google Scholar 

  43. Harman, G. (Non-Solipsistic) Conceptual Role Semantics. In: Lepore, E. (ed.) New Directions in Semantics. Academic Press, London (1987)

    Google Scholar 

  44. Margolis, E., Laurence, S.: The Ontology of Concepts - Abstract Objects or Mental Representations? Noûs 41(4), 561–593 (2007), doi:10.1111/j.1468-0068.2007.00663.x

    Article  Google Scholar 

  45. Fodor, J.A.: Psychosemantics: the problem of meaning in the philosophy of mind. Explorations in cognitive science, vol. 2. MIT Press, Cambridge (1987)

    Google Scholar 

  46. Peacocke, C.: A study of concepts. Representation and mind. MIT Press, Cambridge (1992)

    Google Scholar 

  47. Zalta, E.N.: Fregean senses, modes of presentation, and concepts. Noûs 35, 335–359 (2001)

    Article  MathSciNet  Google Scholar 

  48. Searle, J.R.: The construction of social reality. Free Press, New York (1995)

    Google Scholar 

  49. Gruber, T.R.: A translation approach to portable ontology specifications. Knowledge Acquisition 5(2), 199–220 (1993)

    Article  Google Scholar 

  50. Guarino, N., Giaretta, P.: Ontologies and Knowledge Bases: Towards a Terminological Clarification. In: Mars, N. (ed.) Towards Very Large Knowledge Bases, vol. 1, pp. 25–32. IOS Press (1995)

    Google Scholar 

  51. Guarino, N.: Formal ontology in information systems. In: Guarino, N. (ed.) Formal Ontology in Information Systems, FOIS 1998, Trento, Italy, June 6-8. Ios Pr. Inc. (1998)

    Google Scholar 

  52. Genesereth, M.R., Nilsson, N.J.: Logical foundations of artificial intelligence. Morgan Kaufmann, Los Altos (1987)

    MATH  Google Scholar 

  53. Tolk, A., Diallo, S., King, R., Turnitsa, C., Padilla, J.J.: Conceptual modeling for composition of model-based complex systems. In: Robinson, S., Brooks, R., Kotiadis, K., van der Zee, D.-J. (eds.) Conceptual Modeling for Discrete-Event Simulation, pp. 355–381. CRC Press (2010)

    Google Scholar 

  54. Ogden, C.K., Richards, I.A.: The meaning of meaning; a study of the influence of language upon thought and of the science of symbolism. International library of psychology, philosophy, and scientific method. K. Paul, Trench, Trubner & co., London (1923)

    Google Scholar 

  55. Partridge, C.: What is pump facility PF101? LADSEB CNR, Padova, Italy (2002)

    Google Scholar 

  56. Partridge, C.: What is a customer? The beginnings of a reference ontology for customer. In: Kilov, H., Baclawski, K. (eds.) 11th OOPSLA Workshop on Behavioral Semantics, Seattle, Washington, Northeastern (2002)

    Google Scholar 

  57. Partridge, C.: A new foundation for accounting: Steps towards the development of a reference ontology for accounting. LADSEB CNR, Padova, Italy (2002)

    Google Scholar 

  58. Partridge, C.: A new foundation for accounting: Steps towards the development of a reference ontology for accounting. In: ECAIS 2003 - European Conference on Accounting Information Systems, Seville (2003)

    Google Scholar 

  59. Masolo, C., Borgo, S., Gangemi, A., Guarino, N., Oltramari, A.: WonderWeb Deliverable D18: Ontology Library. Ontology Infrastructure for the Semantic Web. Laboratory For Applied Ontology - ISTC-CNR, Trento (2003)

    Google Scholar 

  60. Borgo, S., Gangemi, A., Guarino, N., Masolo, C., Oltramari, A.: WonderWeb Deliverable D15: Ontology RoadMap. Ontology Infrastructure for the Semantic Web. Laboratory For Applied Ontology - ISTC-CNR, Trento (2002)

    Google Scholar 

  61. Semy, S.K., Pulvermacher, M.K., Obrst, L.J.: Toward the Use of an Upper Ontology for U.S. Government and U.S. Military Domains: An Evaluation. The MITRE Corporation, Bedford (2004)

    Google Scholar 

  62. Partridge, C.: Note: A Couple of Meta-Ontological Choices for Ontological Architectures. LADSEB CNR, Padova, Italy (2002)

    Google Scholar 

  63. Strawson, P.F.: Individuals, an essay in descriptive metaphysics. Methuen, London (1959)

    Book  Google Scholar 

  64. Cartwright, N.: How the laws of physics lie. Clarendon Press, Oxford (1983)

    Book  Google Scholar 

  65. Cartwright, N.: The dappled world: a study of the boundaries of science. Cambridge University Press, Cambridge (1999)

    Book  MATH  Google Scholar 

  66. Lewis, D.K.: On the plurality of worlds. Basil Blackwell, Oxford (1986)

    Google Scholar 

  67. Tye, M.: Representationalism and the Transparency of Experience. Noûs 36, 137–151 (2002), doi:10.1111/1468-0068.00365

    Article  Google Scholar 

  68. Goodwin, C.: Transparent vision. In: Ochs, E., Schegloff, E.A., Thompson, S.A. (eds.) Interaction and Grammar, vol. 13, p. 370. Cambridge University Press (1996)

    Google Scholar 

  69. Craig, E.: The mind of God and the works of man. Clarendon, Oxford (1987)

    Google Scholar 

  70. Dretske, F.I.: Seeing and knowing. University of Chicago Press, Chicago (1969)

    Google Scholar 

  71. Dretske, F.I.: Knowledge & the flow of information, 1st edn. MIT Press, Cambridge (1981)

    Google Scholar 

  72. Evans, G.: The varieties of reference. Clarendon Press, Oxford (1982)

    Google Scholar 

  73. Stich, S.P.: Beliefs and Subdoxastic States. Philosophy of Science 45(4) (1978)

    Google Scholar 

  74. Ryle, G.: The concept of mind. Hutchinson, London (1949)

    Google Scholar 

  75. Habermas, J.: On the pragmatics of communication (trans: Cooke M). Studies in contemporary German social thought. MIT Press, Cambridge (1998)

    Google Scholar 

  76. Stanley, J., Williamson, T.: Knowing How. Journal of Philosophy 98(8), 411–444 (2001), doi:10.2307/2678403

    Article  Google Scholar 

  77. Polanyi, M.: The tacit dimension. Terry Lectures, 1st edn. Doubleday, Garden City (1966)

    Google Scholar 

  78. Searle, J.R.: Intentionality, an essay in the philosophy of mind. Cambridge University Press, Cambridge (1983)

    Book  Google Scholar 

  79. Collins, H.M., Evans, R.: Rethinking expertise. University of Chicago Press, Chicago (2007)

    Google Scholar 

  80. Collins, H.M.: Tacit and explicit knowledge. The University of Chicago Press, Chicago (2010)

    Google Scholar 

  81. Carnap, R.: Der logische Aufbau der Welt. Weltkreis-verlag, Berlin-Schlachtensee (1928)

    MATH  Google Scholar 

  82. Lipton, P.: Inference to the best explanation. Routledge, London (1991)

    Google Scholar 

  83. Peirce, C.S.S.: Prolegomena to an Apology for Pragmaticism. Monist 16, 492–546 (1906)

    Google Scholar 

  84. Shaffer, D.M., McBeath, M.K.: Naive beliefs in baseball: systematic distortion in perceived time of apex for fly balls. J. of Experimental Psychology Learning Memory Cognition 31(6), 1492–1501 (2005), doi:10.1037/0278-7393.31.6.1492

    Article  Google Scholar 

  85. Bilalić, M., McLeod, P., Gobet, F.: Why good thoughts block better ones: the mechanism of the pernicious Einstellung (set) effect. Cognition 108, 652–661 (2008), doi:10.1016/j.cognition.2008.05.005

    Article  Google Scholar 

  86. Bealer, G.: Universals. The Journal of Philosophy 90(1), 5–32 (1993)

    Article  MathSciNet  Google Scholar 

  87. Putnam, H.: Philosophy of Logic. In: Mathematics, Matter, and Method, pp. 323–357. Cambridge University Press, Cambridge (1975)

    Google Scholar 

  88. Tennant, N.: On the Necessary Existence of Numbers. Noûs 31(3), 307–336 (1997), doi:10.1111/0029-4624.00048

    Article  MathSciNet  Google Scholar 

  89. Carnap, R.: Psychology in Physical Language. Erkenntnis 3, 104–142 (1932/1933)

    Article  Google Scholar 

  90. Field, H.H.: Science without numbers: a defence of nominalism. Library of philosophy and logic. Blackwell, Oxford (1980)

    Google Scholar 

  91. Field, H.H.: Realism, mathematics and modality. Basil Blackwell, Oxford (1989)

    MATH  Google Scholar 

  92. Neurath, O.: Physicalism: The Philosophy of the Vienna Circle. The Monist 41(4), 618–623 (1931)

    Google Scholar 

  93. Benacerraf, P.: Mathematical Truth. The Journal of Philosophy 70(19), 661–679 (1973)

    Article  MathSciNet  Google Scholar 

  94. Partridge, C.: Modelling the real world: Are classes abstractions or objects? JOOP 7(7) (1994)

    Google Scholar 

  95. Aristotle: Categories, and De interpretatione (trans: Ackrill JL). Clarendon Aristotle series. Clarendon Press, Oxford (1963)

    Google Scholar 

  96. Lowe, E.J.: The four-category ontology: A metaphysical foundation for natural science. Oxford University Press, USA (2006)

    Google Scholar 

  97. Johansson, I.: Ontological investigations: an inquiry into the categories of nature, man, and society. Routledge, London (1989)

    Google Scholar 

  98. Husserl, E.: Ideas; General Introduction to Pure Phenomenology (trans: Gibson WRB). The Muirhead Library of Philosophy. Allen & Unwin, London (1967)

    Google Scholar 

  99. Ingarden, R.: Time and modes of being (trans: Michejda HR). American lecture series. publication no. 558. American lectures in philosophy. Charles C. Thomas, Springfield, Illinois (1964)

    Google Scholar 

  100. Thomasson, A.L.: Fiction and metaphysics. Cambridge studies in philosophy. Cambridge University Press, Cambridge (1999)

    Google Scholar 

  101. Dummett, M.A.E.: Frege: Philosophy of language, vol. 1. Cambridge University Press (1981)

    Google Scholar 

  102. Lowe, E.J.: Kinds of being: A study of individuation, identity and the logic of sortal terms. Blackwell, Oxford (1989)

    Google Scholar 

  103. Wiggins, D.: Sameness and substance renewed. Cambridge University Press, Cambridge (2001)

    Book  Google Scholar 

  104. Weirich, P.: The Explanatory Power of Models and Simulations: A Philosophical Exploration. Simulation & Gaming 42, 155–176 (2011), doi:10.1177/1046878108319639

    Article  Google Scholar 

  105. Sugden, R.: Credible worlds: the status of theoretical models in economics. In: Mäki, U. (ed.) Fact and Fiction in Economics: Models, Realism and Social Construction, pp. 107–136. Cambridge University Press, Cambridge (2002)

    Chapter  Google Scholar 

  106. Frigg, R., Reiss, J.: The philosophy of simulation: hot new issues or same old stew? Synthese 169(3), 593–613 (2009), doi:10.1007/s11229-008-9438-z

    Article  MathSciNet  Google Scholar 

  107. Edwards, P.N.: Representing the global atmosphere: computer models, data, and knowledge about climate change. In: Miller, C., Edwards, P. (eds.) Changing the Atmosphere: Expert Knowledge and Environmental Governance, pp. 31–65. MIT Press, Cambridge (2001)

    Google Scholar 

  108. Galison, P.: Computer simulations and the trading zone. In: Galison, P., Stump, D. (eds.) The Disunity of Science: Boundaries, Contexts, and Power, pp. 118–157. Stanford University Press, California (1996)

    Google Scholar 

  109. Sterman, J.D.: Learning from evidence in a complex world. Am. J. Public Health 96(3), 505–514 (2006), doi:10.2105/AJPH.2005.066043

    Article  Google Scholar 

  110. Kripke, S.A.: A completeness theorem in modal logic. The Journal of Symbolic Logic 24(1), 1–14 (1959)

    Article  MathSciNet  MATH  Google Scholar 

  111. Lewis, D.K.: Counterpart theory and quantified modal logic. The Journal of Philosophy 65(5), 113–126 (1968)

    Article  Google Scholar 

  112. Hartmann, S.: The World as a Process: Simulations in the Natural and Social Sciences. In: Hegselmann, R., Mueller, U., Troitzsch, K.G. (eds.) Modelling and Simulation in the Social Sciences from the Philosophy of Science Point of View. Theory and Decision Library, pp. 77–100. Kluwer, Dordrecht (1996)

    Google Scholar 

  113. The ANSI/SPARC DBMS Model. In: Jardine, D.A. (ed.) Second Share Working Conference on Data Base Management Systems, Montreal, Canada, April 26-30, pp. vii, 225. North-Holland Publishing Company, Amsterdam (1976)

    Google Scholar 

  114. McTaggart, J.E.: The Unreality of Time. Mind 17(4), 457–474 (1908)

    Article  Google Scholar 

  115. Pressman, R.S.: Software Engineering, 5th edn. McGraw-Hill (2001)

    Google Scholar 

  116. Sider, T.: Four-dimensionalism: an ontology of persistence and time. Clarendon Press, Oxford (2001)

    Google Scholar 

  117. Partridge, C.: The Role of Ontology in Integrating Semantically Heterogeneous Databases. LADSEB CNR, Italy, Padova (2002)

    Google Scholar 

  118. Partridge, C.: The Role of Ontology in Semantic Integration. In: Second International Workshop on Semantics of Enterprise Integration at OOPSLA 2002, Seattle (2002)

    Google Scholar 

  119. Lycett, M., Partridge, C.: The challenge of epistemic divergence in IS development. Communications of the ACM 52(6), 127–131 (2009)

    Article  Google Scholar 

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Authors and Affiliations

  1. BOROTM Solutions Limited, Henley on Thames, Oxfordshire, United Kingdom

    Chris Partridge & Andy Mitchell

  2. Brunel University, Uxbridge, Middlesex, United Kingdom

    Sergio de Cesare

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  1. Chris Partridge
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  2. Andy Mitchell
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  3. Sergio de Cesare
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  1. Dept. Engineering Management &, Systems Engineering, Old Dominion University, Kaufman Hall 242B, Norfolk, 23529, Virgin Islands, USA

    Andreas Tolk

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Partridge, C., Mitchell, A., de Cesare, S. (2013). Guidelines for Developing Ontological Architectures in Modelling and Simulation. In: Tolk, A. (eds) Ontology, Epistemology, and Teleology for Modeling and Simulation. Intelligent Systems Reference Library, vol 44. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31140-6_2

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