Search Results for "artificial intelligence php software" - Page 2
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Showing 71 open source projects for "artificial intelligence php software"
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SPLITNEURON is a completely new approach to large-scale, biologically plausible, neural-network simulation library based on data structures and methods directly coded into database and conceived to explicitly share load on multiple machines.
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The Mars Rover Simulator project is based on the evolutionary robotics paradigm where an artificial agent acquires its skills through the process of artificial evolution. This simulator can be useful to evolve neural network controllers for the rover
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This project is a complete cross-platform (Windows, Linux) framework for Evolutionary Computation in pure python. See the project site at http://pyevolve.sourceforge.net or the blog at http://pyevolve.sourceforge.net/wordpress
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Headrand is a static library wrote in c that contains functions to simulate complex systems or make statistical analysis with a new approach called "random function computing"
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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
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breve is a free, open-source 3D multi-agent simulation package designed for simulating decentralized systems and artificial life.
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Siafu simulates individual agents and their context, from home to city-wide scenarios. As a developer, you use the API to write your simulation for the purposes of data-set generation, test or visualization, optionally hooking it to your own application.
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This is a multi-agent platform utilizing blackboard architecture as the core communication and organization means.
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This library is the source code for the development of neural networks with dynamic random links, or other systems.
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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.
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A demonstration of the result of using an agent based approach in software. Shows a swarm of icons representing agents that follow user selected rules.
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Spyse is a software framework for building multi-agent systems. It allows Python developers to build distributed intelligent systems of multiple cooperative agents based on FIPA, OWL, SOA and many others. Spyse is designed for ease-of-use and fun.
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Extensible framework that enables productive design, analysis, and execution of arbitrary-sized neural-networks or system on a distributed, scalable, high-throughput runtime platform. Enables synapse-oriented-programming.
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LEET (Large Experiment and Evaluation Tool) is a front-end software utility for WEKA that simplifies large-scale experiment and evaluation of algorithms and datasets in the classification context.
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The Mobile Autonomous Robot Simulation Framework assists in building the applications to simulate an Autonomous Mobile Robot, its interaction with the environment, behaviors and also its sensors, actuators and locomotion mechanism.
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Animants are virtual ants. Their name comes from the combination of "ants" and "animats", an animat being "a sofware approximation of a living creature". Animants aim to simulate the behaviour of living animals.
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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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An easy to extend, highly graphical, easy to use 2D robot simulator specialized for path planning algorithms. Can be used in testing various robotic algorithms, and already used for comparison of path planning algorithms like RRT, RRTConnect, PRM, RboT..
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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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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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OpenDiscreteDynamicProgrammingTemplate : founds optimal constrainted parameters of a discrete controls with second order optimization template replacing Hessian with directional derivatives and backpropagation for digital filter(as neural network)
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PyPlayground is an environment for developing algorithms involving movement in a space of up to three dimensions using Python.
