Editorial Special Issue on Agent-Based Modelling for Complex Systems
Author:
Publisher
Springer Science and Business Media LLC
Subject
Information Systems,Control and Systems Engineering
Link
http://link.springer.com/article/10.1007/s11518-018-5370-z/fulltext.html
Reference7 articles.
1. Aydoğan, R., Marsa-Maestre, I., Klein, M. & Jonker, C.M. (2018). A machine learning approach for mechanism selection in complex negotiations. Journal of Systems Science and Systems Engineering, 27(2):134–155.
2. Chen, B.C., Yu, C., Diao, Q.S., Liu, R. & Wang, Y.L.(2018). Social or individual learning? An aggregated solution for coordination in multiagent systems. Journal of Systems Science and Systems Engineering, 27(2):180–200.
3. Kakimoto, S. & Fujita, K.(2018). Effective automated negotiation based on issue dendrograms and partial agreements. Journal of Systems Science and Systems Engineering, 27(2):201–214.
4. Le, D.T., Zhang, M.J. & Ren, F.H. (2018). An economic model-based matching approach between buyers and sellers through a broker in an open e-marketplace. Journal of Systems Science and Systems Engineering, 27(2):156–179.
5. Su, X., Wang, Y.C., Jia, X.B., Guo, L.M. & Ding, Z.M. (2018). Two innovative coalition formation models for dynamic task allocation in disaster rescues. Journal of Systems Science and Systems Engineering, 27(2):215–230.
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1. Impact of Financial R&D Resource Allocation Efficiency Based on VR Technology and Machine Learning in Complex Systems on Total Factor Productivity;Complexity;2020-12-28
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