Dynamic coordination of multiple agents in a class of differential games through a generalized linear reward scheme

Boaz Golany, Konstantin Kogan, Charles S. Tapiero

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

We consider a wide class of dynamic problems characterized by multiple, non-cooperative agents operating under a general control rule. Since each agent follows its own objective function and these functions are interdependent, control efforts made by each agent may affect the performance of the other agents and thus affect the overall performance of the system. We show that recently developed dynamic linear reward/penalty schemes can be generalized to provide coordination of the multiple agents in a broad-spectrum dynamic environment. When the reward scheme is applied, the agents are induced to choose the system-wide optimal solution even though they operate in a decentralized decision-making environment.

Original languageEnglish (US)
Title of host publicationInternational Series in Operations Research and Management Science
PublisherSpringer New York LLC
Pages183-201
Number of pages19
DOIs
StatePublished - 2014

Publication series

NameInternational Series in Operations Research and Management Science
Volume198
ISSN (Print)0884-8289

ASJC Scopus subject areas

  • Software
  • Computer Science Applications
  • Strategy and Management
  • Management Science and Operations Research
  • Applied Mathematics

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    Golany, B., Kogan, K., & Tapiero, C. S. (2014). Dynamic coordination of multiple agents in a class of differential games through a generalized linear reward scheme. In International Series in Operations Research and Management Science (pp. 183-201). (International Series in Operations Research and Management Science; Vol. 198). Springer New York LLC. https://doi.org/10.1007/978-3-319-00669-7_10