Infectious disease informatics and biosurveillance
In: Integrated series in information systems 27
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In: Integrated series in information systems 27
In: National Security; Handbooks in Information Systems, S. 165-186
In: Journal of applied mathematics & decision sciences: JAMDS, Band 2005, Heft 1, S. 1-18
ISSN: 1532-7612
Many systems consist of a set of agents which must acquire exclusive access to resources from a shared pool. Coordination of agents in such systems is often implemented in the form of a centralized mechanism. The intervention of this type of
mechanism, however, typically introduces significant computational overhead and reduces the amount of concurrent activity. Alternatives to centralized mechanisms exist, but
they generally suffer from the need for extensive interagent communication. In this paper, we develop a randomized approach to make multiagent resource-allocation decisions with the objective of maximizing expected concurrency measured by the number of the active agents. This approach does not assume a centralized mechanism and has no need for interagent communication. Compared to existing autonomous-decentralized-decision-making (ADDM)-based approaches for resource-allocation, our work emphasizes achieving the highest degree of agent autonomy and is able to handle more general resource requirements.
In: Lecture notes in computer science 5354
In: Lecture notes in bioinformatics
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In: Production and Operations Management, 28(7): 1621-1640
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In: Yang, Y., Li, X., Zeng, D., & Jansen, B. J., (2018). Aggregate Effects of Advertising Decisions: A Complex Systems Look at Search Engine Advertising via an Experimental Study, Internet Research, 28(4), 1079-1102.
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In: Yang, Y., Jansen, B. J., Yang, Y. C., Guo, X., & Zeng, D., (2019). Keyword Optimization in Sponsored Search Advertising: A Multi-Level Computational Framework. IEEE Intelligent Systems, 34(1), 32 - 42.
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In: INFORMS Journal on Computing, 2016
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In: Intelligence and Security Informatics; Lecture Notes in Computer Science, S. 412-417
In: Intelligence and Security Informatics; Lecture Notes in Computer Science, S. 281-295