Peer-Reviewed International Journals

  • Gilbert, N., Ahrweiler, P., Barbrook-Johnson, P., Narasimhan, K. und Wilkinson, H. (2018): Computational Modelling of Public Policy: Reflections on Practice, Journal of Artificial Societies and Social Simulation (JASSS) Vol. 21(1) 14.DOI: 10.18564/jasss.3669

  • Ahrweiler, P. (2017): Agent-based simulation for science, technology, and innovation policy. Scientometrics Vol. 110 (1): 391-415. DOI: 10.1007/s11192-016-2105-0.

  • Li, L., Ahrweiler, P. undHang, X. (2017):新熊彼特主义视角下基于主体的计算经济学研究. Agent-based Computational Economics from the Neo-Schumpeterian Perspective. Economic Perspectives (7): 137-147. (in Chinesisch)

  • Ahrweiler, P., Schilperoord, M., Pyka, A.und N. Gilbert (2015): Modelling Research Policy -Ex-Ante Evaluation of complex Policy Instruments.Journal of Artificial Societies and Social Simulation (JASSS) Vol. 18 (4)5. DOI: 10.18564/jasss.2927.

  • Leydesdorff, L. und P. Ahrweiler(2014): In Search of a Network Theory of Innovations - Relations, Positions, and Perspectives. Journal of the American Society for Information Science and Technology (JASIST) 65(11), 2359–2374.

  • Ahrweiler, P. und M. Keane (2013): Innovation Networks. Mind & Society 12:73–90, DOI 10.1007/s11299-013-0123-7.

  • Ahrweiler, P. und R. Viale (2013): Introduction to cultural and cognitive Dimensions of Innovation.Mind & Society 12:5–10, DOI 10.1007/s11299-013-0128-2.

  • Pyka, A., Ahrweiler P. und N. Gilbert (2012): ПРОЦЕССЫ ПОРОЖДЕНИЯ И ДИФФУЗИИ ЗНАНИЯ В ИННОВАЦИОННЫХ СЕТЯХ: АГЕНТНАЯ СИМУЛЯЦИОННАЯ МОДЕЛЬ (Knowledge Generation and Diffusion Processes in Innovation Networks).The Journal of Sociology and Social Anthropology, Vol. XV (5), 327–348.

  • Ahrweiler, P. (2012): Review of Complex Adaptive Innovation Systems. Relatedness and Transversality in the Evolving Region (Regions and Cities); by P. Cooke, Routledge: London 2012.Journal of Artificial Societies and Social Simulation (JASSS), 15 (4).

  • Edmonds, B., Gilbert, N., Ahrweiler, P. und A. Scharnhorst(2011): Simulating the Social Processes of Science. Journal of Artificial Societies and Social Simulation (JASSS), 14 (4), 14.

  • Ahrweiler, P. (2011): Modelling Theory Communities in Science. Journal of Artificial Societies and Social Simulation (JASSS), 14 (4), 8.

  • Ahrweiler, P., Pyka, A. und N. Gilbert (2011): A New Model for University-Industry Links in Knowledge-Based Economies. Journal of Product Innovation Management (JPIM), 28: 218–235.

  • Ahrweiler, P., Gilbert, N. und A. Pyka (2011): Agency and Structure. A social Simulation ofknowledge-intensive Industries. Computational & Mathematical Organization Theory (CMOT) 17 (1): 59–76.

  • Ahrweiler, P. (2009): Review of Complexity Perspectives in Innovation and Social Change (Methods Series; by Lane D., Pumain D., van der Leeuw S. Ernst, West G. (Hg.), Springer: Berlin, 2009). Journal of Artificial Societies and Social Simulation (JASSS), 12(4), 19.

  • Pyka, A. und P. Ahrweiler (2008): Innovation Networks – An Introduction. International Journal of Foresight and Innovation Policy 4 (3/4): 1–8.

  • Gilbert, N., Ahrweiler, P. und A. Pyka (2007): Learning in Innovation Networks - Some Simulation Experiments. Physica A: Statistical Mechanics and Its Applications, 378 (1): 667–693.

  • Pyka, A., Gilbert, N. und P. Ahrweiler (2007): Simulating Knowledge Generation and Distribution Processes in Innovation Collaborations and Networks. Cybernetics and Systems 38(7): 667–693.

  • Ahrweiler, P., Gilbert, N. und A. Pyka (2006): Institutions Matter but... Organisational Alignment in Knowledge-Based Industries. Science, Technology & Innovation Studies 2 (1): 39–58.

  • Ahrweiler, P. und N. Gilbert (2005): Caffe Nero - the Evaluation of Social Simulation. Journal of Artificial Societies and Social Simulation (JASSS)8 (4), 14.

  • Pyka, A. und P. Ahrweiler (2004): Applied Evolutionary Economics and Social Simulation – An Introduction. Journal of Artificial Societies and Social Simulation, 7 (2), 6.

  • Ahrweiler, P. (2002): Jon Sunbo: The strategic Management of Innovation – A Review. Journal of Evolutionary Economics 12: 577–581.

  • Gilbert, N., Pyka, A. und P. Ahrweiler (2001): Innovation Networks – A Simulation Approach. Journal of Artificial Societies and Social Simulation (JASSS)4 (3), 8.

  • Ahrweiler, P. (1999): David Byrne: Complexity Theory and the Social Sciences – A Review'. Emergence. A Journal of Complexity Issues in Organizations and Management, Special Issue: 101–103.

 

Monographien

  • Ahrweiler, P. (2001): Informationstechnik und Kommunikationsmanagement. Netzwerksimulation für die interdisziplinäre Wissenschafts-und Technikforschung. Campus: Frankfurt/New York.

  • Ahrweiler, P. (1995): Künstliche Intelligenz-Forschung in Deutschland. Die Etablierung eines Hochtechnologie-Fachs. Waxmann: Münster/New York.

 

Herausgeberschaften

  • Ahrweiler, P., Gilbert, N. und A. Pyka (Hg.) (2016): Joining Complexity Science and Social Simulation for Innovation Policy. Agent-based Modelling using the SKIN Platform. Cambridge Scholars Publishing, UK.

  • Gilbert, N., Ahrweiler, P. und A. Pyka (Hg.) (2014): Simulating Knowledge Dynamics in Innovation Networks, Springer: Heidelberg/New York.

  • Ahrweiler, P. und R. Viale (Hg.)(2013): Cultural and Cognitive Dimensions of Innovation, Special Issue, Mind & Society, 12.

  • Ahrweiler, P. (Hg.)(2010): Innovation in Complex Social Systems. Routledge: London.

  • Ahrweiler, P. und A. Pyka (Hg.)(2008):Innovation Networks. International Journal of Foresight and Innovation Policy 4, Special Issue 3/4.

  • Thomass, B. und P. Ahrweiler (Hg.)(2005):Internationale partizipatorische Kommunikationspolitik – Strukturen und Visionen. LIT: Münster/New York.

  • Pyka, A. und P. Ahrweiler (Hg.)(2004):Applied Evolutionary Economics and Social Simulation. Journal of Artificial Societies and Social Simulation 7. Special Issue 2.

  • Ahrweiler, P. und N. Gilbert (Hg.)(1998): Computer Simulations in Science and Technology Studies. Springer: Berlin, Heidelberg, New York.

 

Buchkapitel

  • Ahrweiler, P. (2017): Simulationsexperimente realexperimenteller Politik –der Gewinn der Zukunftsdimension im Computerlabor. In: Böschen, S., Gross, M. und W. Krohn (Hg.): Experimentelle Gesellschaft. Nomos Verlagsgesellschaft, edition sigma: Baden-Baden, 199-237.

  • Ahrweiler, P., N. Gilbert und A. Pyka (2016): Joining Complexity Science and Social Simulation for Innovation Policy. In: Ahrweiler, P., Gilbert, N. und A. Pyka (Hg.): Joining Complexity Science and Social Simulation for Innovation Policy. Agent-based Modelling using the SKIN Platform. Cambridge Scholars Publishing, UK.

  • Ahrweiler, P., Pyka, A. und N. Gilbert (2016): Policy Modelling of Large-Scale Social Systems - Lessons from the SKIN Model of Innovation. In: Ahrweiler, P., Gilbert, N. und A.Pyka (Hg.): Joining Complexity Science and Social Simulation for Innovation Policy. Agent-based Modelling using the SKIN Platform. Cambridge Scholars Publishing, UK.

  • Ahrweiler, P. (2015): RRI-Governance zwischen linearer Interventionslogik und Sozialinnovation. Interview. In: Bogner, A., Decker, M. undM. Sotoudeh (Hg.): Responsible Innovation. Neue Impulse für die Technikfolgenabschätzung.Gesellschaft –Technik –Umwelt, Neue Folge Bd. 18. Nomos Verlagsgesellschaft, edition sigma: Baden-Baden, 131-136.

  • Majstorovic, D., Wimmer M., Lay-Yee, R.,Davis, P. und P. Ahrweiler (2015): Features and Added Value of Simulation Models Using Different Modelling Approaches Supporting Policy-Making: A Comparative Analysis. In: Janssen, M., Wimmer, M. und A. Deljoo (Hg.): Policy Practice and Digital Science – Integrating Complex Systems, Social Simulation and Public Administration in Policy Research. Series Public Administration and Information Technology, Springer: Heidelberg/New York, 95–123.

  • Ahrweiler, P. und N. Gilbert (2015): The Quality of Social Simulation -an Example from Research Policy Modelling. In: Janssen, M., Wimmer, M. und A. Deljoo (Hg.): Policy Practice and Digital Science–Integrating Complex Systems, Social Simulation and Public Administration in Policy Research, Series Public Administration and Information Technology,Springer: Heidelberg/New York, 35–55.

  • Ahrweiler, P., Gilbert, N. und A. Pyka (2015): Innovation Policy Modeling with SKIN. In: Johnston, E. (Hg.): Governance in the Information Era: Theory and Practice of Policy Informatics. Routledge: London, 229–246.

  • Ahrweiler, P., Pyka, A. und N. Gilbert (2014): Simulating Knowledge Dynamics in Innovation Networks: an Introduction. In: Gilbert, N., Ahrweiler, P. und A. Pyka (Hg.): Simulating Knowledge Dynamics in Innovation Networks, Springer: Heidelberg/New York, 1–14.

  • Ahrweiler, P., Schilperoord, M., Pyka, A. und N. Gilbert (2014): Testing Policy Options for Horizon 2020 with SKIN. In: Gilbert, N., Ahrweiler, P. und A. Pyka (Hg.): Simulating Knowledge Dynamics in Innovation Networks, Springer: Heidelberg/New York, 155–184.

  • Schilperoord, M. und P. Ahrweiler (2014): Towards a Prototype Policy Laboratory for Simulating Innovation Networks. In: Gilbert, N., Ahrweiler, P. und A. Pyka (Hg.): Simulating Knowledge Dynamics in Innovation Networks, Springer: Heidelberg/New York, 185–198.

  • Schrempf, B. und P. Ahrweiler (2014): Modelling the Emergence of a General-Purpose Technology from a knowledge-based Perspective –the Case of Nanotechnology. In: Gilbert, N., Ahrweiler, P. und A. Pyka (Hg.): Simulating Knowledge Dynamics in Innovation Networks,Springer: Heidelberg/New York, 201–216.

  • Ahrweiler, P. und A. Pyka (2014): Innovation. In: Saam, N. und N. Braun (Hg.): Handbuch Modellbildung und Simulation in den Sozialwissenschaften. VS-Verlag: Wiesbaden, 855–885.

  • Ahrweiler, P. und M. Keane (2014): Innovation Networks(Reprint). In: Shamiyeh, M. und DOM Research Laboratory (Hg.): Driving Desired Futures: Turning Design Thinking into Real Innovation.Birkhaeuser: Basel,278–294.

  • Ahrweiler, P., Schilperoord, M., Gilbert, N. und A. Pyka (2012): Simulating the Role of MNCs for Knowledge and Capital Dynamics in Networks of Innovation. In: Heidenreich, M.(Hg.):Innovation and Institutional Embeddedness of Multinational Companies. Edward Elgar: Cheltenham, UK, 384–412.

  • Ahrweiler, P. (2010): Innovation in complexsocial Systems - An Introduction. In: Ahrweiler, P. (Hg.):Innovation in complex social Systems. Routledge: London, 1–25.

  • Ahrweiler, P. (2010): Innovation in complex social Systems - Some Conclusions. In: Ahrweiler, P. (Hg.):Innovation in complex social Systems. Routledge: London, 315–322.

  • Scholz, R., Nokkala, T., Ahrweiler, P., Pyka, A.und N. Gilbert (2010): The agent-based Nemo Model (SKEIN) - Simulating European Framework Programmes. In: Ahrweiler, P. (Hg.): Innovation in complex social Systems. Routledge: London, 300–314.

  • Gilbert, N., Ahrweiler, P. und A. Pyka (2010): Learning in Innovation Networks -some Simulation Experiments. Re-Print. In: Ahrweiler, P. (Hg.):Innovation in complex social Systems. Routledge: London, 235–249.

  • Pyka, A., Ahrweiler, P. und N. Gilbert (2009): Agent-based Modelling of Innovation Networks -The Fairytale of Spillovers. In: Pyka, A. und A. Scharnhorst (Hg.):Innovation Networks. New Approaches in Modeling and Analyzing. Springer: Berlin/New York, 101–126.

  • Gilbert, N. und P. Ahrweiler (2009): The Epistemologies of Social Simulation Research. In: Squazzoni, F. (Hg.):Epistemological Aspects of Computer Simulation in the Social Sciences. Springer: Berlin/New York, 12–28.

  • Pyka, A., Ahrweiler, P. und N. Gilbert (2006): Knowledge-Generation and -Distribution Processes in Innovation Collaborations and Networks. In: Trappl, R. (Hg.): Cybernetics and Systems, Vol. 2, Austrian Society for Cybernetic Studies, Vienna, 673–678.

  • Ahrweiler, P. (2005): Gesellschaftliche Kohäsion durch Kommunikationstechnologie? Zur Interdependenz von technischem und sozialem Wandel. In: Ahrweiler, P. und B. Thomass (Hg.): Internationale partizipatorische Kommunikationspolitik. LIT: Münster/New York, 165–180.

  • Ahrweiler P., Gilbert N. und A. Pyka (2004): Die Simulation von Lernen in Innovationsnetzwerken. In: Florian, M. und F. Hillebrand (Hg.): Adaption und Lernen in und von Organisationen. Westdeutscher Verlag:Wiesbaden, 165–185.

  • Ahrweiler P., Gilbert N. und A. Pyka (2004): Simulating Knowledge Dynamics in Innovation Networks. In: Leombruni, R. und M. Richiardi (Hg.):Industry and Labor Dynamics - the Agent-based Computational Economics Approach. World Scientific Press: Singapore, 284–296.

  • Ahrweiler, P. (2003): Computer-Mediation: Softwaregestütztes Kommunikations-und Konfliktmanagement. In: Christaller, T. und J. Wehner (Hg.): Autonome Maschinen. Westdeutscher Verlag: Wiesbaden, 244–267.

  • Gilbert, N., Pyka, A., und P. Ahrweiler (2002): Simulating Innovation Networks. In: Pyka, A. und G. Küppers (Hg.):Innovation Networks. Theory and Practice. Edward Elgar: Cheltenham, 169–196.

  • Ahrweiler, P., de Jong, S. und P. Windrum (2002): Evaluating Innovation Networks.In: Pyka, A. und G. Küppers (Hg.): Innovation Networks. Theory and Practice. Edward Elgar: Cheltenham, 197–212.

  • Ahrweiler, P. (2000): Die Integration heterogener Wissenssysteme auf dem Computer. In: Ohly, H.P. u.a. (Hg.): Globalisierung und Wissensorganisation - Neue Aspekte für Wissen, Wissenschaft und Informationssysteme. Ergon: Würzburg, 375–389.

  • Ahrweiler, P. und S. Wörmann (1998): Computer Simulations inScience and Technology Studies. In: Ahrweiler, P. und N. Gilbert (Hg.):Computer Simulations in Science and Technology Studies. Springer: Berlin/New York, 33–52.

  • Ahrweiler, P. und R. Wolkenhauer (1998): SiSiFOS – Simulating Studieson the internal Formation and the Organization of Science.In: Ahrweiler, P. und N. Gilbert (Hg.):Computer Simulations in Science and Technology Studies. Springer: Berlin/New York,129–143.

  • Ahrweiler, P. (1998): Theories in (Inter)Action -A complex dynamic System for Theory Evaluation in Science.In: Bar-Yam, Y. (Hg.):Unifying Themes in Complex Systems. Perseus Books: Boston, 75–85.

  • Ahrweiler, P. (1997): Negotiating a new Science: Artificial Intelligence. In: Etzkowitz, H. und L. Leydesdorff (Hg.): Universities and the global Knowledge Economy. Pinter: London/Washington, 97–105.

  • Ahrweiler, P. (1995): KI West und KI Ost: Die Institutionalisierung eines Hochtechnologie-Fachs in Deutschland. In: Rammert, W. (Hg.):Soziologie und künstliche Intelligenz. Produkte und Probleme einer Hochtechnologie. Campus: Frankfurt/New York, 111–131.

 

Andere Publikationen

  • Ahrweiler, P. (2016):Research can be more responsible with the right Partner. Euroscientist Jan 2016. http://www.euroscientist.com/research-can-be-more-responsible-with-the-right-partner/.

  • Ahrweiler, P. (2014): Predicting Science Policy Outcome with agent-based Models. Euroscientist Mai 2014. http://www.euroscientist.com/predicting-science-policy-outcomes-with-agent-based-model/.

  • Ahrweiler, P., Gilbert, N. und Pyka, A. (2012): Using network analysis to monitor and track effects resulting from changes in policy intervention and instruments. Final Report SMART 2010/0025, DG Information Society and Media, European Commission, Brüssel, Belgien.

  • Ahrweiler, P. (2002): Computergestütztes Konfliktmanagement in modernen Organisationen.Zeitschrift für Konfliktmanagement (5): 209–212.

  • Ahrweiler, P., Pyka, A. und N. Gilbert (2001): Innovationsnetzwerke - Simulationsexperimente zur Politikberatung.I.T.S. Time: Technology, Innovation, Management & Engineering2: 21–28.