PDES-MAS : distributed simulation of multi-agent systems by Suryanarayanan, Vinoth, Theodoropoulos, Georgios, Lees, Michael

“…Multi-agent systems (MAS) are increasingly being acknowledged as a modelling paradigm for capturing the dynamics of complex systems in a wide range of domains, from system biology to adaptive socio-technical system of systems. …”
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Cooperative reinforcement learning in topology-based multi-agent systems by Xiao, Dan, Tan, Ah-Hwee

“…Topology-based multi-agent systems (TMAS), wherein agents interact with one another according to their spatial relationship in a network, are well suited for problems with topological constraints. …”
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An agent's activities are controlled by his priorities by Huang, Shell Ying, Chang, Yuming, Zhang, Huiliang

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An iterative approach for makespan-minimized multi-agent path planning in discrete space by Wang, Wenjie, Goh, Wooi Boon

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Dynamically generated commitment protocols in open systems by Günay, Akın, Winikoff, Michael, Yolum, Pınar

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Filtering unfair ratings from dishonest advisors in multi-criteria e-markets: a biclustering-based approach by Zhang, Jie, Irissappane, Athirai Aravazhi

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A simulation framework for measuring robustness of incentive mechanisms and its implementation in reputation systems by Liu, Yuan, Zhang, Jie, An, Bo, Sen, Sandip

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Complex agent networks explaining the HIV epidemic among homosexual men in Amsterdam by Mei, Shan., Sloot, Peter M. A., Quax, Rick., Zhu, Yifan., Wang, Weiping.

“…In this paper, we introduce the concept of a complex agent network (CAN) to model the HIV epidemic by combining multi-agent systems and complex networks, in which agents represent individuals who can have sexual interactions. …”
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A study on like-attracts-like versus elitist selection criterion for human-like social behavior of memetic mulitagent systems by Chen, Xuefeng, Zeng, Yifeng, Ong, Yew Soon, Ho, Choon Sing, Xiang, Yanping

“…Memetic multi agent system emerges as an enhanced version of multiagent systems with the implementation of meme-inspired computational agents. …”
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