Skip to content

Signaling game's Nash Equilibria implemented with python. Used in My paper: "Deception in Network Security: A Game-Theoretic Approach."

Notifications You must be signed in to change notification settings

Daeijavad/PyPBEsignal

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

8 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Signaling Game

Signaling game's Nash Equilibrium implemented with python.

To use, import Equilibrium.py and use the "Eq" function:

The function gets theta, transmit utility and receive utility, and returns a list of all equilibrium.

Please pay attention to how to fill utility arrays (It is One-based indexed).

In jupyter notebook, you will see a user interface that finds the maximum of all equilibriums(based on the transmitter's expected utility) and plots it.

About

Signaling game's Nash Equilibria implemented with python. Used in My paper: "Deception in Network Security: A Game-Theoretic Approach."

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published