Search Results for "artificial intelligence python" - Page 4
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Showing 145 open source projects for "artificial intelligence python"
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ERepSim presents an agent-based cloud simulation environment integrating electronic institutions from multiagent research to simulate Internet-of-Services systems.
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ECSKernel is a multiagent coordination algorithm testbed, built on the RoboCupRescue disaster simulation platform. It is easily configurable and can be used with user-generated scenarios.
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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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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..).
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TOAST (Trust Organisational Agent System Testbed) is a simulation framework used to evaluate and compare different trust models for agents embedded in organisational systems.
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Bayesian Surprise Matlab toolkit is a basic toolkit for computing Bayesian surprise values given a large set of input samples. It is also useful as way of exploring surprise theory. For more information see also: http://ilab.usc.edu/
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The program system JCASim is a general-purpose system for simulating cellular automata in Java. It includes a stand-alone application and an applet for web presentations.
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An extended version of RoboCup Rescue Simulation official viewer intended to make it more informative. It utilizes charts, statistics and some missing little useful features.
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Artifical World simulator, it simulate virtual 3D world and execute IA programs. It have API for programming IAs in C++. it use Irrlicht as 3D engine.
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jsshagent is an open source project in Java language. It is a Robocup 3D Soccer Humanoid Simulation team.
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"Java Artificial Intelligence Markup Language PAD" is a tool that manages ProgramD AI (on local or remote machines) and AIML files with real-time previews and it provides a network support to test AI capabilities over many network protocols.
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Little b is a Lisp-based language which allows scientists to build shareable, reusable mathematical models of complex systems based on shared parts. The initial focus is molecular and multicellular networks. Project web page: http://www.littleb.org
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The Automatic Model Optimization Reference Implementation, AMORI, is a framework that integrates the modelling and the optimization processes by providing a plug-in interface for both. A genetic algorithm and Markov simulations are currently implemented.
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This project about providing run-time support for developing Decentralized Autonomic Computing systems (Eclipse Innovation Grand). Currently the project contains a automatic guided vehicle (AGV) simulator and an editor and visualisation as eclipse plugin
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Mito-MAS-m is a simulator of the mitochondrial inner membrane and the enzymatic complexes embedded in it, implementing a coarse-grained (CG) model of the molecules using rigid structures and Dissipative Particules Dynamics (DPD) as motion equation.
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A class library written in Objective-C++ for building models of connectionist networks (neural networks). The class-hierarchy is designed to be maximally general and expandable, but also to support specific types of network.
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The Shapefile2Bin project aim to convert a real map (real city) in Shape format (ArgGIS format) to Bin format (Robocup Rescue format). The map after converted is used for Robocup Rescue Simulator (see more at: Robocup Rescue Simulation Project at SF.net)
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PyPlayground is an environment for developing algorithms involving movement in a space of up to three dimensions using Python.
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EcoMod is an OpenGL application for 3D modelling, simulation and visualization of ecosystems. Trees are modelled and used within simulation to render the emerging natural phenomena of spontaneous afforestation process. Multidisciplinary.
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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.
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Agent-based Grid simulator built on top of Repast simulation engine. Allows for a quick and easy development and analysis of agent-based coordination mechanisms for the Grid
