Agents (A Game theoretic Evolutionary Network Traffic Simulation) is a toolkit for the analysis of selfish agents in networks by means of evolutionary game theory. Simulations of replicator and other dynamics can be plotted, visualised and analysed.

Project Samples

Project Activity

See All Activity >

License

GNU General Public License version 2.0 (GPLv2)

Follow Agents

Agents Web Site

nel_h2
Simply solve complex auth. Easy for devs to set up. Easy for non-devs to use. Icon
Simply solve complex auth. Easy for devs to set up. Easy for non-devs to use.

Transform user access with Frontegg CIAM: login box, SSO, MFA, multi-tenancy, and 99.99% uptime.

Custom auth drains 25% of dev time and risks 62% more breaches, stalling enterprise deals. Frontegg platform delivers a simple login box, seamless authentication (SSO, MFA, passwordless), robust multi-tenancy, and a customizable Admin Portal. Integrate fast with the React SDK, meet compliance needs, and focus on innovation.
Start for Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Agents!

Additional Project Details

Languages

English

Intended Audience

Education, End Users/Desktop, Science/Research, Telecommunications Industry

Programming Language

Java

Related Categories

Java Internet Software, Java Scientific Engineering

Registered

2004-08-03