Items where IIASA Author is "Ma, Tieju"

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Number of items: 41.

Article

Yu, Y., Zhou, L., Zhou, W., Ren, H., Kharrazi, A., Ma, T. & Zhu, B. (2017). Decoupling environmental pressure from economic growth on city level: The Case Study of Chongqing in China. Ecological Indicators 75: 27-35. DOI:10.1016/j.ecolind.2016.12.027.

Chen, H. & Ma, T. (2017). Optimizing systematic technology adoption with heterogeneous agents. European Journal of Operational Research 257 (1): 287-296. DOI:10.1016/j.ejor.2016.07.007.

Shchiptsova, A., Zhao, J., Grubler, A., Kryazhimskiy, A. & Ma, T. (2016). Assessing historical realibility of the agent-based model of the global energy system. Journal of Systems Science and Systems Engineering 25 (3): 326-350. DOI:10.1007/s11518-016-5303-7.

Zhao, J. & Ma, T. (2016). Optimizing the initial setting of complex adaptive systems-optimizing the layout of initial AFVs stations for maximizing the diffusion of AFVs. Complexity 21 (1): 275-290. DOI:10.1002/cplx.21742.

Zhao, J. & Ma, T. (2016). Optimizing layouts of initial AFV refueling stations targeting different drivers, and experiments with agent-based simulations. European Journal of Operational Research 249 (2): 706-716. DOI:10.1016/j.ejor.2015.08.065.

Zhao, J. & Ma, T. (2016). Optimizing layouts of initial refueling stations for alternative-fuel vehicles and experiments with agent-based simulations. Simulation 92 (3): 251-266. DOI:10.1177/0037549716629726.

Zhang, Y., Chen, H. & Ma, T. (2016). System optimization model of adoption of a new infrastructure with multi-resource and multi-demand sites. Journal of Systems Science and Systems Engineering 25 (1): 62-76. DOI:10.1007/s11518-016-5302-8.

Yu, Y., Ren, H., Kharrazi, A., Ma, T. & Zhu, B. (2015). Exploring socioeconomic drivers of environmental pressure on the city level: The case study of Chongqing in China. Ecological Economics 118: 123-131. DOI:10.1016/j.ecolecon.2015.07.019.

Ma, T. (2015). Adoption of an emerging infrastructure with uncertain technological learning and spatial reconfiguration. European Journal of Operational Research 243 (3): 995-1003. DOI:10.1016/j.ejor.2014.12.026.

Chen, H. & Ma, T. (2014). Technology adoption with limited foresight and uncertain technological learning. European Journal of Operational Research 239 (1): 266-275. DOI:10.1016/j.ejor.2014.03.031.

Ma, T., Zhao, J., Xiang, S., Zhu, Y. & Liu, P. (2014). An agent-based training system for optimizing the layout of AFVs' initial filling stations. Journal of Artificial Societies and Social Simulation 17 (4): p. 6.

Ma, T., Zhu, Y., Liu, P. & Chi, C. (2014). A simulation method to generate commute trips-for agent-based modeling on co-diffusion of alternative fuel vehicles and their filling stations. Simulation : Transactions of the Society for Modeling and Simulation International 90 (5): 560-569. DOI:10.1177/0037549714530780.

Chi, C., Ma, T. & Zhu, B. (2012). Towards a low-carbon economy: Coping with technological bifurcations with a carbon tax. Energy Economics 34 (3): 2081-2088. DOI:10.1016/j.eneco.2012.02.011.

Yan, J., Ma, T. & Nakamori, Y. (2011). Exploring the triple helix of academia-industry-government for supporting roadmapping in academia. International Journal of Management and Decision Making 11 (3): 249-267. DOI:10.1504/IJMDM.2011.040702.

Zhou, W., Zhu, B., Li, Q., Ma, T., Hu, S. & Griffy-Brown, C. (2010). CO2 emissions and mitigation potential in China's ammonia industry. Energy Policy 38 (7): 3701-3709. DOI:10.1016/j.enpol.2010.02.048.

Nie, K., Lin, S., Ma, T. & Nakamori, Y. (2010). Connecting informal networks to management of tacit knowledge. Journal of Systems Science and Systems Engineering 19 (2): 237-253. DOI:10.1007/s11518-010-5130-1.

Ma, T. & Nakamori, Y. (2009). Modeling technological change in energy systems -- From optimization to agent-based modeling. Energy 34 (7): 873-879. DOI:10.1016/j.energy.2009.03.005.

Ma, T., Grubler, A. & Nakamori, Y. (2009). Modeling technology adoptions for sustainable development under increasing returns, uncertainty, and heterogeneous agents. European Journal of Operational Research 195 (1): 296-306. DOI:10.1016/j.ejor.2008.01.036.

Nie, K., Ma, T. & Nakamori, Y. (2007). Building a taxonomy for understanding knowledge management. Electronic Journal of Knowledge Management 5 (4): 453-466.

Ma, T., Wierzbicki, A.P. & Nakamori, Y. (2007). Establish a creative environment for roadmapping in academy - From the perspective of i-system methodology. Journal of Systems Science and Systems Engineering 16 (4): 469-488. DOI:10.1007/s11518-007-5047-5.

Ma, T., Wierzbicki, A. & Nakamori, Y. (2007). Establish a creative environment for roadmapping in academy—From the perspective of i-system methodology. Journal of Systems Science and Systems Engineering 16 (4): 469-488. DOI:10.1007/s11518-007-5047-5.

Ma, T. & Nakamori, Y. (2007). Agent-based simulation for Kansei Engineering: Testing a fuzzy linear quantification method in an artificial world. Journal of Systems Science and Systems Engineering 16 (3): 308-322. DOI:10.1007/s11518-007-5055-5.

Ma, T. & Nakamori, Y. (2007). Agent-based modeling and simulation on network externality and knowledge strategy. International Journal of Knowledge and Systems Sciences 4 (1): 25-30.

Ma, T., Liu, S. & Nakamori, Y. (2006). Roadmapping as a way of knowledge management for supporting scientific research in academia. Systems Research and Behavioral Science 23 (6): 743-755. DOI:10.1002/sres.708.

Ma, T., Nakamori, Y. & Huang, W. (2006). An agent-based approach for predictions based on multi-dimensional complex data. Information Sciences 176 (9): 1156-1174. DOI:10.1016/j.ins.2005.07.011.

Ma, T. & Nakamori, Y. (2005). Roadmapping and i-systems for supporting scientific research. International Journal of Knowledge and Systems Sciences 2 (1): 66-72.

Book Section

Ma, T. (2015). Comparing Countries’/Areas’ Productive Knowledge with International Trade Data. In: KSS'2014. Proceedings of the 15th International Symposium on Knowledge and Systems Science. Eds. Wang, S., Nakamori, Z. & Huynh, V.N., pp. 111-116 Japan: JAIST Press. ISBN 978-4-903092-39-3

Ma, T. & Grubler, A. (2008). The evolution of technological complexity: An agent-based simulation model of the global energy system. In: Modeling Environment-Improving Technological Innovations under Uncertainty. Eds. Golub, A.A. & Markandya, A., pp. 205-244 London, UK: Routledge. ISBN 978-0-415-46376-8

Ma, T., Yan, J., Nakamori, Y. & Wierzbicki, A.P. (2007). Creativity Support for Roadmapping. In: Creative Environments: Issues of Creativity Support for the Knowledge Civilization Age. Eds. Wierzbicki, A. & Nakamori, Y., Studies in Computational Intelligence, 59 (59). pp. 155-189 Springer. ISBN 978-3-540-71466-8 DOI:10.1007/978-3-540-71562-7_7.

Ma, T., Yan, Y. & Nakamori, Y. (2007). Roadmapping and i-systems. In: Computational Science - ICCS 2007. Eds. Shi, Y., Aldaba, G.D. van, Dongara, J. & Sloot, P.M.A., Germany pp.1-8 (2007): Springer Berlin/Heidelberg. ISBN 978-3-540-72589-3 DOI:10.1007/978-3-540-72590-9_1.

Monograph

Ma, T., Grubler, A., Nakicenovic, N. & Arthur, W.B. (2008). Technologies as agents of change: A simulation model of the evolving complexity of the global energy system. IIASA Interim Report. IIASA, Laxenburg, Austria: IR-08-021

Ma, T. (2006). An Agent-Based Model of Endogenous Technological Change -- An Extension to the Grubler-Gritsevskyi Model. IIASA Interim Report. IIASA, Laxenburg, Austria: IR-06-044

Conference or Workshop Item

Ma, T. & Nakamori, Y. (2008). Modeling uncertainties of technological learning with stochastic optimization. In: Proceedings, 9th International Symposium on Knowledge and Systems Sciences, 11-12 December.

Zhang, L., Nie, G., Ma, T., Liu, F. & Shi, Y. (2008). An intelligent process-oriented knowledge management system between human, process and knowledge. In: Proceedings, 9th International Symposium on Knowledge and Systems Sciences, 11-12 December.

Makowski, M. (2007). Rational governance of conflicting goals, uncertainties and risks. In: Proceedings of the 2007 IEEE International Conference on Systems, Man and Cybernetics, 7-10 October 2007.

Ma, T. (2006). Modeling endogenous uncertain technological change with heterogeneous agents. In: Proceedings of the 3rd International Symposium on Systems & Human Science: Complex Systems Approaches for Safety, Security and Reliability (SSR 2006), 6-8 March 2006.

Ma, T. (2005). Modeling endogenous technological change with heterogeneous agents. In: Proceedings of the 1st World Congress of the International Federation for Systems Research, 14-17 November 2005.

Ma, T. (2005). Modeling technology transitions under increasing returns, uncertainty, and heterogeneous agents. In: Proceedings of the 6th International Symposium on Knowledge and Systems Sciences, 29-31 August 2005.

Makowski, M. (2004). Modeling web for knowledge integration and creation. In: KSS'2004 JAIST: Proceedings of the Fifth International Symposium on Knowledge and Systems Sciences.

Other

Ma, T. (2009). Can we Move to a Low Carbon Economy with Little Costs? A View from the Perspective of Uncertain Endogenous Technological Change. Conference presentation: CSM'2009: 22nd Workshop on Methodologies and Tools for Complex System Modeling, 31 August - 2 September 2009, IIASA, Laxenburg, Austria

Ma, T. & Nakamori, Y. (2008). Coping with uncertainties in endogenous technological change models. Workshop presentaion, IFIP WG 7.6 Workshop on Modelling and decision support for network-based services, 1-3 September 2008, Warsaw, Poland

This list was generated on Sun Jul 23 03:26:11 2017 UTC.

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