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RegMAS (Regional Multi Agent Simulator) is a spatially explicit multi-agent model framework, developed in C++ language and designed for long-term simulations of effects of government policies over agricultural systems (farm sizes, incomes, land use..).
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.
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Zigorat is a base code for creating multi-agent intelligent systems fitting in robocup soccer simulator 3d, done and created by Zigorat AI Research Team.
Breeze a multiple class model neural network development system. Network models include multi-threaded Backpropagation and Radial Basis Function Networks, for time series prediction.
Meme is a multi-agent system. It aggregates literature information gathered from different sources into a viable format. It provides a visualization search and exports the literature information for users. It also integrates JADE and Nutch.
This is a complete artificial life framework written for Neverwinter Nights (NWN) available for Mac, Linux, and Windows. This provides modular, class-based response systems as well as preemption and automatic resumption of priority-based behaviors.
A Java library as a tool to interact with a Robocup Soccer Server. It enables to play soccer with an Artificial Intelligence multi-agent team based on intelligence and decision algorithms coded in JESS language.
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MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
TACS (Trust Ant Colony System) is a Trust model for P2P, Ad-hoc and Wireless Sensor networks (also valid for multi-agent systems) based on the bio-inspired algorithm ACS (Ant Colony System).
Blackboard implements a lightweight, portable tuple space suitable for multi-agent system and distributed component design. Supports implicit invocation via content-filtered asynchronous events, blocking call semantics, and shared memory messaging.
Augmenting other natural interfaces namely handwriting, speech recognition to input Indian language characters to the computer. Speech synthesis is also provided to read out local language text.
JAgent is a multi-agents system test and development platform.
It provides a framework and GUIs helping to create and test collective strategies in a multi-agents system.
Machine learning toolkit for unsupervised and semi-supervised clustering that demonstrates excellent results on real-world data (see Bekkerman et al. ICML-2005 and ECML-2006).
This project simulates a multi-agent system (swarm) behavior both graphically and not. The purpose of this project is to research the properties suggested in "stability analysis of swarms" V.Gazi & K.M.Passino. Using the vpython library for 3D modeling
Agent Academy is a Java integrated development framework for creating Intelligent Agents and Multi Agent Systems. Agent Academy seamlessly integrates JADE and WEKA platforms and enables the creation of software agents that use Data Mining models.
pyPal is a jabber based chatterbot that can be used to launch commands remotely as well as to make some good conversation. It is expected to be capable of multi-language learning.
The aim of the project is to build multi-agent distributed system for modeling the Instant Payment Flow concept. The system allows to set-up business money-transfer transactions with continuous flow of money depending on goods flow
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 project provides a simple kernel for building distributed agent-based applications. It is based on the idea that the principles underlying dataflow programming are well-suited to design a coordination language for multi-agent environments.
Using agent technology JAMAS (Java Awareness Multi-Agent System) tries to assist distributed programmers in coordinating parallel development of Java code. E-JAMAS implements JAMAS and it’s features as a plug-in for the Eclipse platform.
MultiBoost is a C++ implementation of the multi-class AdaBoost algorithm. AdaBoost is a powerful meta-learning algorithm commonly used in machine learning. The code is well documented and easy to extend, especially for adding new weak learners.
OJBot is a program to provide an open framework for creating a multi-protocol bot. The goal is to remain simple and open ended. The main framework will be written in Java.
MIC* comes with a new vision of multi-agent system engineering: The multi-agent system is devided explicitly into two dimensions: the deployment environment and the autonomous agents. MIC* is an algebraic model of a deployment environment (container of a