Title :
A game theory model for situation awareness and management
Author :
Rahmes, Mark ; Wilder, K. ; Fox, Kevin ; Pemble, Rick
Author_Institution :
Gov. Commun. Syst. Div., Harris Corp., Melbourne, FL, USA
Abstract :
We describe a model for determining strategies for making decisions. Decision making involves a model with several possible actions, state of the world with a probability, and a metric of how well the best decision was made. The ability to perform data mining and discover patterns to automatically predict likelihood of reaction to specific events and situational awareness is enhanced from multiple social media inputs. We discuss development of a method for determining actionable information to efficiently propitiate manpower, equipment assets, or propaganda responses. Our solution combines a variety of textual content information in different formats to help with a decision process to include sources, systems, and services that control and influence a situation. Different viewpoints need to be understood that are points involved in the event. Our FeatureSEARCHTM tool is helpful for rapidly parsing text that has been extracted with an intelligent algorithm in order to evaluate the population sentiment for the targeted area. Our tool allows for calculating optimal strategies provides greater knowledge about the state of the world and increases the likelihood of a decision maker making the best decision. We discuss game theory using linear programming methods to solve for multiple possible strategies that are known. The decision maker´s success depends upon his ability to correctly and automatically judge the multiple psychological and rational factors. The goal of our system, called GlobalSite, is to deliver trustworthy threat analysis systems and services that understand situations, while being a vital tool for continuing mission operations information.
Keywords :
data mining; decision making; game theory; information management; FeatureSEARCHTM tool; GlobalSite; data mining; decision making; game theory model; intelligent algorithm; linear programming methods; multiple psychological factors; multiple social media inputs; rational factors; situation awareness; textual content information; trustworthy threat analysis system; Data integration; Feature extraction; Game theory; Games; Resource management; Sensors; Decision Making; Game theory; Operations Research; Resource Management;
Conference_Titel :
Consumer Communications and Networking Conference (CCNC), 2013 IEEE
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4673-3131-9
DOI :
10.1109/CCNC.2013.6488583