Prof. (i.R.) Dr. Klaus G. Troitzsch
Institut für Wirtschafts- und Verwaltungsinformatik, Universität Koblenz
0000-0001-6266-4337
Troitzsch, Klaus G.
Können Modelle antworten?Erwägen Wissen Ethik. Bd. 26. H. 3. Stuttgart: Lucius & Lucius 2015 S. 409 - 411
Hannappel, Marc; Troitzsch, Klaus G.
MikrosimulationsmodelleBraun, Norman; Saam, Nicole J. (Hrsg). Handbuch Modellbildung und Simulation in den Sozialwissenschaften. Wiesbaden: Springer VS 2015 S. 455 - 489
Troitzsch, Klaus G.
Using Empirical Data for Designing, Calibrating and Validating Simulation Models.ESSA. 2015 S. 413 - 427
Troitzsch, Klaus G.
What One Can Learn from Extracting OWL Ontologies from a NetLogo Model That Was Not Designed for Such an ExerciseJournal of Artificial Societies and Social Simulation. Bd. 18. H. 2. Journal of Artificial Societies and Social Simulation 2015 2808
Troitzsch, Klaus G.
Analysing Simulation Results StatisticallyCoelho, Helder u. a. (Hrsg). Interdisciplinary Applications of Agent-Based Social Simulation and Modeling. Hershey: IGI Global 2014 S. 88 - 105
Troitzsch, Klaus G.
Distribution Effects of Extortion Racket SystemsAdvances in Artificial Economics. Cham: Springer International Publishing 2014 S. 181 - 193 (Lecture Notes in Economics and Mathematical Systems)
Ihrig, Martin; Troitzsch, Klaus G.
An extended research framework for the simulation era.SpringSim (EAIA). 2013 S. 12
Xenitidou, Maria; Emde, Robin; Villard, Jens et al.
Demonstrating the TheoryConte, Rosaria u. a. (Hrsg). Minding Norms : mechanisms and dynamics of social order in agent societies. New York: Oxford University Press 2013 S. 127 - 152
Troitzsch, Klaus G.
Historical IntroductionEdmonds, Bruce u. a. (Hrsg). Simulating Social Complexity : A Handbook. Berlin, Heidelberg: Springer Berlin Heidelberg 2013 S. 13 - 21 (Understanding Complex Systems)
Troitzsch, Klaus G.
Legislation, Regulatory Impact Assessment and SimulationInformatica e diritto. Bd. 2013. H. 1. Firenze, Le Monnier 2013 S. 57 - 74
Lotzmann, Ulf; Möhring, Michael; Troitzsch, Klaus G.
Simulating the emergence of norms in different scenarios.Artif. Intell. Law. Bd. 21. H. 1. 2013 S. 109 - 138
Troitzsch, Klaus G.
Simulation Experiments and Significance TestsLeitner, S. u. a. (Hrsg). Artificial Economics and Self Organization : Agent-Based Approaches to Economics and Social Systems. Berlin, Heidelberg: Springer Berlin Heidelberg 2013 S. 17 - 28
Lotzmann, Ulf; Möhring, Michael; Troitzsch, Klaus G.
The Derivation of EMIL-S from EMIL-AConte, Rosaria u. a. (Hrsg). Minding Norms : mechanisms and dynamics of social order in agent societies. New York: Oxford University Press 2013 S. 118 - 126
Villamor, Grace; Troitzsch, Klaus G.; van Noordwijk, Meine
Validating human decision making in an agent-based land-use modelPiantadosi, Julia ; Anderson, Robert S. ; Boland, John (Hrsg). Adapting to change: the multiple roles of modelling : MODSIM 2013, 20th International Congress on Modelling and Simulation : 22nd National Conference of the Australian Society for Operations Research (ASOR 2013), DSTO led Defence Operations Research Symposium (DORS 2013) : 1-6 December 2013, Adelaide, Australia : proceedings. Adelaide, Canberra: The Modelling and Simulation Society of Australia and New Zealand Inc. 2013 S. 2110 - 2116
Troitzsch, Klaus G.
Agentenbasierte Modellierung von MärktenSchweizerische Zeitschrift fur Forstwesen. Bd. 163. H. 10. Swiss Forestry Society 2012 S. 408 - 416
Hannappel, Marc; Troitzsch, Klaus G.; Bauschke, Simone
Demographic and educational projections. Building an event-oriented microsimulation model with CoMicS IITroitzsch, Klaus G., Möhring, Michael; Lotzmann, Ulf (Hrsg). ECMS 2012. Dudweiler. 2012 S. 613 - 618
Meyer, Matthias; Troitzsch, Klaus G.
Epistemological perspectives on simulation: overview and introductionComputational and Mathematical Organization Theory. Bd. 18. H. 1. Springer Science and Business Media LLC 2012 S. 1 - 4
Villamor, Grace B.; van Noordwijk, Meine; Troitzsch, Klaus G. et al.
Human Decision Making In Empirical Agent-Based Models: Pitfalls And Caveats For Land-Use Change Policies.ECMS. 2012 S. 631 - 637
Zaggl, Michael A.; Troitzsch, Klaus G.
Indirect Reciprocity in Social Organizations: Replication of Image Scoring and Extension to NetworksKoch, Andreas (Hrsg). Proceedings of the 8th European Social Simulation Association Conference : September 10 - 14, Salzburg, Austria ; interdisciplinary approaches to modelling and simulating social processes (2012). Salzburg: Selbstverl. des Fachbereiches Geographie und Geologie der Univ. Salzburg 2012 S. 291 - 296 (Salzburger geographische Arbeiten ; 48)
Troitzsch, Klaus G.
Probabilistic Simulation Models of SocietyRudas, Tamás (Hrsg). Handbook of Probability : Theory and Applications. Los Angeles ; London: SAGE 2012 S. 277 - 290
Troitzsch, Klaus G.; Möhring, Michael; Lotzmann, Ulf
Shaping reality through simulation: 26th European Conference on Modelling and Simulation (ECMS 2012) Koblenz, Germany, May 29 - June 1, 2012Saarbrücken / Koblenz: European Council for Modelling and Simulation (ECMS) 2012 742 S.
Troitzsch, Klaus G.
Simulating communication and interpretation as a means of interaction in human social systems.Simul. Bd. 88. H. 1. 2012 S. 7 - 17
Troitzsch, Klaus G.
Team formation in the garbage canResearch in the sociology of organizations. Bd. 36. Bingley: Emerald 2012 S. 229 - 252
Troitzsch, Klaus G.
Theory Reconstruction of Several Versions of Modern Organization TheoriesTolk, Andreas (Hrsg). Ontology, Epistemology and Teleology for Modeling and Simulation : Philosophical Foundations for Intelligent M&s Applications. Berlin, Heidelberg: Springer 2012 S. 121 - 140
Troitzsch, Klaus G.
Agentenbasierte Modellierte im Wenke²-ProjektAntoni-Komar, Irene ; Lehmann-Waffenschmidt, Marco ; Pfriem,Reinhard ; Welsch, Heinz (Hrsg). WENKE2 - Wege zum nachhaltigen Konsum. Marburg: Metropolis-Verl. 2010 S. 365 - 375 (Wirtschaftswissenschaftliche Nachhaltigkeitsforschung ; Bd. 9)