A Game-Theoretic Approach to Decision Support for Intelligent Water Distribution


Cyber-physical systems, and the intelligent decision support systems that they enable, carry the promise of greater efficacy in environmental management. The complexity of the physical infrastructure subject to decisions by environmental management systems is often an impediment to this efficacy. Other challenges include fundamental differences in the operation of cyber and physical components, and significant interdependency among the cyber components that facilitate decision support and the physical components they control. The agent-based computing paradigm is proposed for surmounting these challenges, due to the flexibility of software agents as autonomous and intelligent decision-making components. In this paper, we utilize an agent-based system to illustrate the application of game theory to decision support for environmental management, in the context of intelligent water distribution. Simulation results are presented to validate the model proposed, and to investigate the effect of various model parameters on water allocation.

Meeting Name

44th Hawaii International Conference on System Sciences (2011: Jan. 4-7, Kauai, HI)


Electrical and Computer Engineering

Keywords and Phrases

Agent-Based Computing; Agent-Based Systems; Cyber-Physical Systems; Decision Supports; Intelligent Decision Support Systems; Intelligent Decision-Making; Physical Components; Simulation Result; Various Model Parameters; Water Allocations; Water Distributions; Artificial Intelligence; Autonomous Agents; Computer Simulation; Decision Support Systems; Decision Theory; Embedded Systems; Environmental Management; Environmental Management Systems; Game Theory; Intelligent Agents; Water Supply Systems; Decision Making; Decision Support System

International Standard Book Number (ISBN)


International Standard Serial Number (ISSN)


Document Type

Article - Conference proceedings

Document Version


File Type





© 2011 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

01 Jan 2011