Search Results for "agent simulation"
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Showing 8 open source projects for "agent simulation"
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Neural MMO
Code for the paper "Neural MMO: A Massively Multiagent Game..."
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. -
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Repast
The Repast Suite is a family of free agent-based modeling libraries.
The Repast Suite is a family of advanced, free, and open source agent-based modeling and simulation platforms that have been under continuous development for over 20 years. Current source code and releases are hosted on Github https://repast.github.io/ -
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MoRe4ABM
Managing Ongoing RElationships for Agent-Based Modelling
The purpose of MoRe4ABM - Managing Ongoing RElationships for ABM - is to support representing and analysing social networks in agent-based modeling. The library provides a large number of network generators and a comprehensive framework for network and node level measures. It integrates well with Repast Simphony and uses the JUNG library. More4ABM furthermore supports initialisation of geographically explicit networks using GIS. -
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ParMa
Parameter Management for agent-based simulation models
ParMa provides several ways to define and read parameter settings for ABM ant therefore facilitates the organisation of model parameter settings. -
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Web-controlled intelligent agents which interact with the Supply Chain Collaboration On-line Research Institute (http://www.sccori.com/sim/) supply chain simulation.
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An enhanced Simulator based on Agent Grid Repast.It has some bugs cleared from Agent Grid Repast and has enhanced features on Group Selection Policy.
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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.
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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.
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