342 projects tagged "Artificial Intelligence"
Evolvica is an evolutionary computation framework written in Java. The aim of the project is to provide a toolkit that enables developers to create genetic/evolutionary algorithms with minimal programming effort. The toolkit has a modular architecture and is highly extensible. It includes a visual algorithm editor, a source code editor, and a debugger.
breve is a 3D simulation environment designed for the simulation of decentralized systems and artificial life. While the concept is similar to existing packages such as Swarm and StarLogo, the implementation, which simulates both continuous time and continuous 3D space, is quite different. It also includes an experimental physics engine, allowing the user to implement real-time physical simulations. Simulations are written in a simple object-oriented language called "steve". Users define an agent's behavior by specifying how the agent interacts with the world at each timestep and how the agent interacts when it collides with other agents. The ultimate goal of the system is to allow decentralized simulations to be implemented quickly and easily while providing a sophisticated set of object classes and libraries to facilitate the construction of advanced artificial life simulations.
Neural Network Framework is a C++ framework to develop, simulate, and analyze arbitrary complex neural networks. The programmer can use the classes provided to create neural networks with arbitrary topology and mixed type of neurons. It's very easy to add customized neurons and layers.
RebeccaAIML is an enterprise cross platform AIML development platform. RebeccaAIML supports C++, Java, C#, Python, and many other programming languages. It allows AIML development out of the box. RebeccaAIML also comes with an array of AIML administration tools, great documentation, and an Eclipse AIML editor plugin.
dbacl is a digramic Bayesian text classifier. Given some text, it calculates the posterior probabilities that the input resembles one of any number of previously learned document collections. It can be used to sort incoming email into arbitrary categories such as spam, work, and play, or simply to distinguish an English text from a French text. It fully supports international character sets, and uses sophisticated statistical models based on the Maximum Entropy Principle.
Kandid is a system to evolve graphics. Graphics, in Kandid, are not drawn by hand. Instead, new forms can be found using genetic algorithms. To achieve this aim Kandid simulates evolution using sexual reproduction and mutation. But there is no fitness function inside the program. Only the user can decide what images are interesting. Populations and genes can be stored in XML format. Image calculation is based on Lisp-like expressions, Lindenmayer Systems, Iterated Function Systems, Linear Cellular Automata, Voroni diagrams, and layered textures or isosurfaces rendered by the Persistence of Vision raytracer.
Koalog Constraint Solver is a powerful constraint solver written in Java. It provides cutting-edge technology for solving satisfaction and optimization problems, including scheduling, time-tabling, resource-allocation, puzzles (sudoku.koalog.com is powered by Koalog Constraint Solver), and configuration (Koalog Configurator is powered by Koalog Constraint Solver).