Search Results for "agent simulation"

Beyond its much publicized success in attaining superhuman level at games such as Chess and Go, DeepMind's AlphaZero algorithm illustrates a more general methodology of combining learning and search to explore large combinatorial spaces effectively. We believe that this methodology can have exciting applications in many different research areas. Because AlphaZero is resource-hungry, successful open-source implementations (such as Leela Zero) are written in low-level languages (such as C++)...

Gradient Bang is an experimental open-source project developed within the Pipecat ecosystem that reimagines AI interaction as a persistent, multiplayer simulation where users and large language models coexist inside a shared virtual environment. Rather than functioning as a traditional application or API, it is conceptualized as an “online multiplayer universe” in which participants can explore, trade, battle, and collaborate while interacting with AI agents as active entities within the...

Neural MMO is a massively multi-agent simulation environment developed by OpenAI for reinforcement learning research. It provides a persistent, procedurally generated world where thousands of agents can interact, compete, and cooperate in real time. The environment is inspired by Massively Multiplayer Online Role-Playing Games (MMORPGs), featuring resource gathering, combat mechanics, exploration, and survival challenges.

ELF (Extensive, Lightweight, and Flexible) is a high-performance platform for reinforcement learning research that unifies simulation, data collection, and distributed training. A C++ core provides fast environments and concurrent actors, while Python bindings expose simple APIs for agents, replay, and optimization loops. It supports both single-agent and multi-agent settings, with batched stepping and shared-memory queues that keep GPUs saturated during training. ...

JAS is a java library for creating agent based simulations. It features a discrete-event time engine, APIs for network simulation design, powerful yet easy-to-use implementations of Genetic Algorithms and Neural Networks.

QtCritters is a simple critter simulation in C++ using Qt, currently under development. The goal of this project is to simulate a simple ecology of various kinds of animals, and to make the source easy to understand and modify. Still very very alpha...

MASyV (Multi-Agent System Visualization) enables one to write agent-based models/cellular automata, eg. in C, visualize them in real time & capture to movie file with MASyVs GUI & message passing lib. Includes examples: Hello World, ants, viral infection

This small application monitors the active spells on your province and notifies you when a spell has expired. It is also useful for reminding yo to recast those offensive spells on enemy provinces. Needless to say, this application requires java.

SARGE - Search And Rescue Game Environment is a multi-player training game for robot operators which also supports agent based robot control for simulation work via TCP.

Symbiomotive is an extensible engine for modeling multi-agent environments that exhibit self-organizing, symbiotic behaviors.

Adage is an advanced 2D top-down gaming/simulation engine with features such as autonomously driven agent classes, artificial intelligence, navigation-mesh-based navigation, a map editor, and a set of entity classes designed for flexibility.

QASE is a Java-based API designed to provide all the functionality needed to create game agents in Quake 2. Powerful enough to facilitate high-end research, it is also suitable for undergrad courses geared towards classic AI and agent-based systems.

The Virtual Storyteller is a multi-agent framework for generating stories based on a concept called emergent narrative.

LabLOVE (Life On a Virtual Environment) is an evolutionary multi-agent simulation environment. It is fast, modular and extensible. Contains the reference implementation for the gridbrain algorithm.

Subverse Project is a system to agent interaction in a virtual world with objective of studies and learns of Artificial Intelligence algorithms. It is a set of parts to create a simulated environment of Artificial Inteligence and learning.

Cognitive agent based social simulation toolkit (RBOT+MRS) / production system based on ACT-R (http://act-r.psy.cmu.edu) allows for modelling single actor cognitive experiments (RBOT) and multiple actors in a simulated (semiotic) world (RBOT + MRS).

TOS is a multi-player soccer simulation game and a match simulation engine for on-line soccer management games. TOS can also be used as a tool for multi-agent AI research and education.

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.

JAIS is a completely object oriented designed, Java implemented RoboCup Agent including visualisation of the world model.

Fungus is a framework for distributed simulation by multi-agents. It uses a very modular architecture. A GUI is provided. In our model, everything is Agent. Even the environnement. You have an access to the communication's 'canals'.

SeSAm (Shell for Simulated Agent Systems) provides a generic environment for modelling and experimenting with agent-based simulation with a special focus on the easy construction of complex models including dynamic interdependencies or emergent behaviour

Trading Agent Competition (TAC) is an international forum designed to promote and encourage high quality research into the trading agent problem. The TAC SCM open-source software consists of a Java-based Game Server and and library for developing agents.