Journal Articles

  • Siebers, P., Herath, D., Bardone, E., Farahbakhsh, S., Knudsen, P., Madsen, J., Mufti, M., Neumann, M., Richards, D., Seri, R., Secchi, D. (2020). On the quest for defining organizational plasticity: A community modelling experiment. Evidence-based HRM: a Global Forum for Empirical Scholarship (online first).

  • Neumann, M. (2020). From organizing to organizations: a typological scale of human relations management outside the legal world. Evidence-based HRM: a Global Forum for Empirical Scholarship (online first).

  • Voinea, C., Neumann, M. (2020). Political Culture: A Theory in Search for Methodology. An Editorial. Quality & Quantity 54(2): 335-360.

  • Neumann, M. Möhring, M. (2020). Outlaw gangs: Networks or organizations? Criminology – the online journal 2(1): 63 – 86.

  • Lorenz, J., Neumann, M. (2018). Opinion dynamics and collective decisions. Advances in complex systems 21(6/7): 1-9.

  • Neumann, M., Lotzmann, U. (2017). Simulation for interpretation. A methodology for growing virtual cultures. Journal for Artificial Societies and Social Simulation 20(3).

  • Neumann, M., Lotzmann, U., Troitzsch, K.G. (2017) Mafia war. Simulating conflict escalation in criminal organizations. Trends in Organized Crime 20(1-2): 139–178.

  • Neumann, M. and Elsenbroich, C. (2017) Introduction: The societal dimensions of organized crime. Trends in Organized Crime 20(1-2): 1-15.

  • Nardin, G., Andrighetto, G. Conte, R., Székely, Á. Anzola, D., Elsenbroich, C., Lotzmann, U., Neumann, M., Punzo, V., Troitzsch, K.G. (2016). Simulating protection rackets: a case study of the Sicilian Mafia. Autonomous Agents and Multi-Agent Systems 30/6: 1117–1147. 1-31.

  • Neumann, M., Sartor, N. (2016). A semantic network of laundering drug money. Journal of Tax Administration 2/1: 73 – 94

  • Neumann, M., Lotzmann, U. (2016). Simulation and Interpretation: a research note on utilizing qualitative research in agent-based simulation. International journal of swarm intelligence and evolutionary computing 5/1.

  • Neumann, M. (2015). Grounded Simulation. Journal of Artificial Societies and Social Simulation 18(1).

  • Neumann, M. (2014). The Escalation of Ethnonationalist Radicalization: Simulating the Effectiveness of Nationalist Ideologies. Social science computer review 32/3: 312- 333.

  • Neumann, M. (2014). Time-scales of socio-cultural dynamics. Cybernetics and human knowing 21/1-2: 66-79.

  • Neumann, M., Srbljinovic, A., Schatten, M. (2014). Trust me, I know what I’m doing. European Quarterly of Political Attitudes and Mentalities 3/2: 18 – 33.

  • Neumann, M., Srbljonivic, A. (2013). Essays on political actors and attitudes: Do they constitute distributed reflexivity? Part III: Long-Term Dynamics Towards Deliberative Democracy. European Quarterly of Political Attitudes and Mentalities 2/4: 55 – 63.

  • Neumann, M., Srbljonivic, A. (2013). Essays on political actors and attitudes: Do they constitute distributed reflexivity? Part II: A Dynamical Typology of Rationality. European Quarterly of Political Attitudes and Mentalities 2/3: 1– 9.

  • Neumann, M., Srbljonivic, A. (2013). Essays on political actors and attitudes: Do they constitute distributed reflexivity? Part I: Median voter theorem vs. competence fields. European Quarterly of Political Attitudes and Mentalities 2/2: 9 – 17.

  • Neumann, M. (2012). The cognitive legacy of norm simulation. Artificial Intelligence and Law 20/4: 339 - 357.

  • Neumann, M. (2012). Modelling the securizitation of national identities. INDECS - Journal for Interdisciplinary Description of Complex Systems 10/1 (2012) pp. 28 – 49.

  • Neumann, M., Heinke, E., Braun, A., Srbljinovic, A., Saqalli, M. (2011). Challenges in modelling social conflicts: Grappling with polysemy. Journal for Artificial Societies and Social Simulation 14/3.

  • Neumann, M. (2010). Norm Internalisation in Human and Artificial Intelligence. Journal of Artificial Societies and Social Simulation 13/1.

  • Neumann, M. (2008). Homo Socionicus: a case study of normative agents. Journal of Artificial Societies and Social Simulation 11/4.

  • Neumann, M. (2007). Complexity of Social Stability: A Model-to-Model Analysis of Yugoslavia’s decline. INDECS – Journal for Interdisciplinary Description of Complex Systems 5/2: 92 – 111.

 

Monographien

  • Neumann, M. (2002). Die Messung des Unbestimmten: Die Geschichte der Konstruktion und Dekonstruktion eines Gegenstandsbereiches der Wahrscheinlichkeitstheorie. Frankfurt a. M.:, Hänsel-Hohenhausen (2002). Review: http://www.michael-funken.de/information-philosophie/rezensionen/neumann_unbestimmte.html

 

Herausgeberschaften

  • Ahrweiler, P., Neumann, M. (forthcoming). Advances in social simulation. Proceedings of the 15th social simulation conference. Cham: Springer.

  • Voinea, C., Neumann, M. (2020). Special issue on Political Culture Research Methodologies. Quality & Quantity 54(2).

  • Lorenz, J., Neumann, M. (2018). Special issue on opinion dynamics and collective decisions. Advances in complex systems 21(6/7).

  • Neumann, M., Elsenbroich, C. (2017). Special issue on societal dimensions of organized crime. Trends in organized crime 20(1-2).

  • Secchi, D., Neumann, M. (2015). Agent-based simulation of organizational behavior. New frontiers of social science research. New York: Springer. Review: http://jasss.soc.surrey.ac.uk/19/4/reviews/1.html

 

Buchkapitel

  • Neumann, M., van Putten, C. (forthcoming). Growing criminal culture. Narrative simulation of conflicts in a criminal group. In: Derzsy, N. (ed.). Understanding crime through science. Interdisciplinary analysis and modeling of criminal activities. New York: Springer.

  • Neumann, M. (2019). The ontological science of collective terms: Johannes von Kries in social statistics. In: Wagner, G. (ed.). The legacy of Johannes von Kries. An interdisciplinary survey. Wiesbaden: Harrassowitz Verlag, pp. 101-117.

  • Anzola, D., Neumann, M., Möhring, M., Troitzsch. K.G. (2017). National Mafia-Type Organisations: Local Threat, Global Reach. In: C. Elsenbroich, N. Gilbert, D. Anzola (eds.). Societal Dimensions of Organized Crime. New York: Springer, pp. 9-23.

  • Neumann, M., Lotzmann, U. (2017). Text data and computational qualitative analysis. In: C. Elsenbroich, N. Gilbert, D. Anzola (eds.). Societal Dimensions of Organized Crime. New York: Springer, pp. 155-176.

  • Lotzmann, U., Neumann, M. (2017). A simulation model of intra-organisational conflict regulation in the crime world. In: C. Elsenbroich, N. Gilbert, D. Anzola (eds.). Societal Dimensions of Organized Crime. New York: Springer, pp. 177-213.

  • Neumann, M., Frazzica, G., Punzo, V. (2017). Mechanisms of the embedding of extortion racket systems. In: A. A. Stachowicz-Stanusch, G. Mangia, A. Caldarelli, W. Amann (Eds.). Dark side of Organization and social irresponsibility: Tool and theoretical insights. Charlotte: Information age publishing. pp. 259-286.

  • Neumann, M., Lotzmann, U. (2016). Eine Herrschaft des Terrors: Gewalteskalation in illegalen Organisationen. In: C. Equit, A. Grönemeyer and O. Schmidt (Eds.) Situationen der Gewalt. Wiesbaden, Beltz, pp. 278 – 302.

  • Neumann, M., Secchi, D. (2015). Exploring the new frontier: Computational studies of organizational behavior. In: D. Secchi, M. Neumann (Eds.). Agent-based simulation of organizational behavior. New frontiers of social science research . New York: Springer, pp. 1-16.

  • Neumann, M., Cowley, S. (2015). Modelling social agency using diachronic cognition: learning from the Mafia. In: D. Secchi, M. Neumann (Eds.) Agent-based simulation of organizational behavior. New frontiers of social science research. New York: Springer, pp. 289-310.

  • Neumann, M. (2014). How are norms brought about? A state of the Art. In: R. Conte, G. Andrighetto, M. Campenni (Eds.). Minding Norms: Mechanisms and dynamics of social order in agent societies. Oxford: Oxford University Press, pp. 50 – 66.

  • Neumann, M. (2014). An Ontology of extortion racket systems. In: C. Voinea, B. Todosijevic, G. Boella (Eds.). Political Attitudes and Mentalities: Eastern European Political Cultures. Modelling Studies. Bucharest: Ars Docendi, pp. 123 – 133.

  • Neumann, M. (2013). Grounded Simulation. In: Kaminski, B., Koloch, G. (Eds.) Advances in Social Simulation. Proceedings of the 9th Conference of the ESSA. New York: Springer, Advances in Intelligent systems and computing 229, pp. 352 – 359.

  • Neumann, M., Cowley, S. (2013). Human agency and the resources of reason. In: S. Cowley, F. Vallee-Tourangeau, F. (Eds). Cognition beyond the brain. New York: Springer, pp. 13 – 30.

  • Amblard, F., Geller, A., Neumann, M., Srbljinović, A., Wijermans, N. (2010). Analyzing Social Conflict via Computational Social Simulation: A Review of Approaches. In: K. Martinás, D. Matika, A. Srbljinović (Eds.) Complex Societal Dynamics - Security Challenges and Opportunities. Amsterdam: IOS Press, pp. 126 – 141.

  • Neumann, M. (2010). Sensitivity and Significance: how to analyze the complexity of conflict dynamics? In: K. Martinás, D. Matika, A. Srbljinović (Eds.). Complex Societal Dynamics - Security Challenges and Opportunities. Amsterdam: IOS Press, pp. 158 – 174.

  • Neumann, M. (2010). A Classification of normative Architectures. In: K. Takadama, C. Cioffi-Revilla, G. Deffuant (Eds.) Simulating Interacting Agents and Social Phenomena. New York: Springer, pp. 3 – 18.

  • Neumann, M. (2009). Measuring the Uncertain: a concept of objective single case probabilities. In: Loewe, B. et al. (Eds.) Foundations of the Formal Sciences VI: Reasoning about Probabilities and Probabilistic Reasoning. London: KCL Press (2009) pp. 189 – 215.

  • Neumann, M. (2009). Emergence as an explanatory principle in Artificial Societies. In: Squazzoni, F. (Ed.) Epistemological Aspects of Computer Simulation in the Social Sciences. EPOS 2006 Invited and Selected Papers, LNAI 5466, Berlin, Springer (2009) pp. 69 – 88. Review: http://jasss.soc.surrey.ac.uk/12/4/reviews/wilson.html

  • Neumann, M. (2006). A formal bridge between epistemic cultures. In: B. Loewe (Ed.) Foundations of the Formal Sciences IV: The History of the Concept of the Formal Sciences, Studies in Logic Vol. 3. London: KCL Press (2006) pp. 169 – 182.

 

Buchkapitel in Handbüchern

  • Neumann, M., Lorenz, J. (forthcoming). Simulation in der Politikwissenschaft. In: Wagemann, C., Goerres, A., Siewert, M. (eds.). Handbuch der Methoden der Politikwissenschaft. Wiesbaden: Springer VS.

  • Neumann, M., Troitzsch, K.G. (2019). Social Simulation. In: Atkinson. P. (ed.). The SAGE encyclopedia of research methods. Newbury Park: Sage, doi: 10.4135/9781526421036764890.

  • Verhagen, H., Neumann, M., Singh, M. (2019). Normative multiagent systems: Foundations and history. In: Verhagen, H., Singh, M., Governatory, G. (Eds.). Handbook on normative multiagent systems. Open University Press, pp. 3-25.

  • Neumann, M., (2013). Social Constraints. In: B. Edmonds, R. Meyer (Eds.). Handbook on Simulating Social Complexity. New York: Springer, pp. 335 – 364 (2nd Ed. 2017 pp. 411– 442).

  • Neumann, M. (2010). An epistemological gap in simulation technologies and the science of society. In: E. Blanchard, D. Allard (Eds.). Handbook of Research on Culturally-Aware Information Technology: Perspectives and Models. Hershey: IGI Publishers, pp. 114 – 135.

 

Peer-Reviewed Conference Proceedings

  • Neumann, M. Lotzmann, U. (2016). Growing criminal culture. A framework for simulation in interpretive research. In: Proceedings of the Social Simulation Conference SSC 2016, Rome.

  • Neumann, M., Lotzmann, U. (2016). Sanction recognition: A simulation model of extended normative reasoning. In: Proceedings of the COIN/NorMAS Workshop, The Hague.

  • Lotzmann, U., Neumann, M., Moehring, M. (2015). From Text to agents: process of developing evidence based simulation models. In: Proceedings of the 29th European Conference on Modelling and Simulation, Varna.

  • Balke, T., Mahmoud, S., Neumann, M., Verhagen, H. (2014). Analysing the Electrical Patient Recruiting Agent system using the WIT trinity. In: Proceedings of the European Conference on Social Intelligence (ECSI 2014), CEUR proceedings series.

  • Neumann, M., Lotzmann, U. (2014). Modelling the collapse of a criminal network. In: Proceedings of the 28th European Conference on Modelling and Simulation, Brescia.

  • Neumann, M. (2013). Simulation of ethnic conflicts in Yugoslavia. In: EEW-PAM Conference Proceedings, 1st Eastern European Exploratory Workshop on Political Attitudes and Mentalities, Bucharest.

  • Markisic, S., Neumann, M., Lotzmann, U. (2012): Simulation of ethnic conflicts in former Yugoslavia. In: Troitzsch, K.G., Möhring, M., Lotzmann, U. (Eds.). 26th European Simulation and Modelling Conference 2012, Koblenz.

  • Neumann, M. (2012). Securizitating the nation: Simulating the dynamics at the case of Yugoslavia. In: Proceedings of the 5th IMA international conference on influence and conflict, Sandhurst.

  • Neumann, M. (2010). Pathways to ethnic cleansing. In: Ernst, A., Kuhn, S., et al. (Eds.). Proceedings of the 3rd World Congress on Social Simulation WCSS2010. Kassel, Germany: Center for Environmental Systems Research, University of Kassel.

  • Neumann, M. (2009). Dissecting the BOID Perspective on Norms. In: Proceedings of the 6th European Social Simulation Association Conference, Surrey.

  • Amblard, F., Geller, A., Neumann, M., Srbljinović, A., Wijermans, N. (2009). A Meta-Analysis of Social Conflict: The Social Simulation Comprehensive Approach. In: Proceedings of the 6th European Social Simulation Association Conference, Surrey.

  • Neumann, M. (2008). Legitimacy and Conflict: an architecture of an integrated perspective. In: Proceedings of the 5th Conference of the European Social Simulation Association, Brescia.

  • Neumann, M. (2008). A Classification of normative Architectures. In: Proceedings of the 3rd world congress of social simulation, Washington.

  • Neumann, M. (2008). Cognitive Architectures of normative agent systems and social mechanisms of emergence and immergence. In: Proceedings of the AISB Convention 2008, Aberdeen.

  • Neumann, M. (2007). Two Dimensions of Sociality: Institutions and Positions. A Model-to-Model Analysis. In: Proceedings of the Third international Model-to-Model Workshop, Marseille.

  • Neumann, M., Yilmaz, M. (2005). Replication and Analysis of a Model of the Emergence of the State. In: Toitzsch, K.G. (Ed.) Proceedings of the 3rd International Congress of the European Social Simulation Association, Koblenz.

  • Neumann, M. (2005). Emergent Social Ontology. Examples from Artificial Societies. In: Hill, D. et al. (Eds.). OICMS 2005, Blaise Pascal University, Clermont-Ferrand.

 

Reviews

  • Neumann, M. (2018). Review of Michael Thompson: Rubbish theory. European Societies 20/4: 692-694.

  • Neumann, M. (2016). Review of Manuel DeLanda: Philosophy and Simulation. The emergence of synthetic reason. Journal of Artificial Societies and Social Simulation 19/3.

  • Neumann, M. (2013). Review of Agent-based computational sociology by Flaminio Squazzoni. European Quarterly of Political Attitudes and Mentalities 2/2: 71–72.

  • Neumann, M. (2009). Review of David N. Sichman, J.S. (Eds.): Multi-Agent-Based Simulation IX. Berlin: Springer 2009. Journal for Artificial Societies and Social Simulation 12/4.

  • Neumann, M. (2008). Review of Frank van Overwalle: Social Connetionism: A Reader and Handbook for Simulation. New York: Psychology Press 2007. Journal for Artificial Societies and Social Simulation 11/3.