Abstract
Game theory is known to focus on the studying, conceptualizing, and formulating strategic scenarios (games) of cooperatively or conflicting decisions of interdependent agents. Describing the game requires mapping the players that are involved in the game, their preferences and also their available information and strategic actions and the payoff of their decisions.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Theodore, L., Turocy T. L., & von Stengel, B. (2001). Game theory. CDAM Research Report LSE-CDAM-2001-09.
Saad, W., Han, Z., Poor, V., & Basar, T. (2012). Game theoretic methods for the smart grid. http://arxiv.org/pdf/1202.0452.pdf
Schecter, S., Gintis, H. (2012). Game theory in action: An introduction to classical and evolutionary models, Princeton university press, Princeton and Oxford.
Forouzandehmehr, N., Perlaza, S. M., Han, Z., & Poor, H. V. (2014). Distributed control of heating, ventilation and air conditioning systems in smart buildings. http://www.Princeton.edu/~Perlaza/Publications/Forouzandehmeher_GLOBECOM_2013.pdf
Coogan, S., Ratliff, L. J., Caldrone, D., Tomlin, C., & Sastry, S. (2013). Energy Management via pricing in LQ dynamic games. Department of Electrical Engineering & Computer Sciences at the University of California, Berkeley, 94720, USA.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Khazaii, J. (2016). Game Theory. In: Advanced Decision Making for HVAC Engineers. Springer, Cham. https://doi.org/10.1007/978-3-319-33328-1_16
Download citation
DOI: https://doi.org/10.1007/978-3-319-33328-1_16
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-33327-4
Online ISBN: 978-3-319-33328-1
eBook Packages: EnergyEnergy (R0)