Search Results for "agent simulation"

Agents.jl is a pure Julia framework for agent-based modeling (ABM): a computational simulation methodology where autonomous agents react to their environment (including other agents) given a predefined set of rules. The simplicity of Agents.jl is due to the intuitive space-agnostic modeling approach we have implemented: agent actions are specified using generically named functions (such as "move agent" or "find nearby agents") that do not depend on the actual space the agents exist in, nor on the properties of the agents themselves. ...

0xsp mongoose red version is provided to assist your needs during cyber security simulation, by using this version you will be able to audit a targeted Windows operation system for system vulnerabilities, misconfiguration, and privilege escalation attacks and replicate the tactics and techniques of an advanced adversary in a network. With node js support for web application API, it becomes much easier for installation and customization in a timely manner, the windows sensor agent will communicate with application API to transfer results and receive commands as a bidirectional technique.

Famos is a Java-based framework for developing agent-based models. It uses the discrete-event simulation framework Desmo-J (http://desmoj.sourceforge.net) as its simulation engine. Famos implements event-driven time advance and focusses on supporting an explicit model of space for the environment, including the movement of agents. Famos was developed in the context of a PhD project.

A framework and runtime environment for exploring agent-based models designed to support the definition of models using an expressive, high-level and extensible Java API and to support the exploration of these models in both interactive and batch mod

Artificial Life is a free and open sourced Java framework use to simulate Life. It is a multi-agents framework where each agent runs it is own Thread.

This is a framework to develop Contexts and Agents and a Container to run them. The Container lets each Agent interact with the Context and other Agents. The agents are deployed in jar files and each one runs in an exclusive sandbox.