OCRFeeder is a document layout analysis and optical character recognition application. It is able to automatically outline a document image's contents, distinguish between graphics and text and perform OCR over the latter. It can export to several formats, its main one being ODT. OCRFeeder has a GTK+ graphical user interface that allows the user to control the application and, for example, edit and correct the automatic recognition. It can also be used from the command line for automation.
The dANN project is a library to help facilitate artificial neural networks, artificial intelligence, and artificial genetics within other applications. It is currently written in Java, C++, and C#. However, only the Java version is currently in active development. The other versions can only be obtained from SVN. It provides a powerful interface for programs to include conventional artificial intelligence technology and artificial genetics into their code. It also acts as a testing ground for research and development of new concepts.
Wintermute is an intelligent framework of applications and libraries that uses neural networking to learn about its host. A pseudo-langauge engine that permits translations and grammar rulesets of any language to be incorporated into the system, and database downloads of different sets of data combine to provide a virtual self-thinking assistant that can be used to perform tasks like dictation to a text editor, and more complex tasks such as sorting of documents depending on the time of day, or automation of other routine tasks. It should be noted that Wintermute itself is a meta-project. It encompasses a large array of currently existing and potential produced projects.
EO is a template-based, ANSI-C++ evolutionary computation library that helps you to write your own stochastic optimization algorithms quickly. Evolutionary algorithms form a family of algorithms inspired by the theory of evolution, and solve various problems. They evolve a set of solutions to a given problem in order to produce the best results. These are stochastic algorithms because they iteratively use random processes. The vast majority of these methods are used to solve optimization problems, and may be also called "metaheuristics". They are also ranked among computational intelligence methods, a domain close to artificial intelligence. With the help of EO, you can easily design evolutionary algorithms that will find solutions to virtually all kind of hard optimization problems, from continuous to combinatorial ones.
Proteus Intelligent Processes is a set of tools based upon the Proteus model and the GreEd rule authoring system. Proteus (PROcesses and Transactions Editable by USers) is a software technology that allows creating clinical processes in which clinical intelligence is embedded. These processes can then be executed to provide guidance to the clinicians about individual patients. The main advantage of Proteus is that the processes can be edited even by non-programmers, with the use of appropriate tools. The processes and components can be stored in a library and can be reused to create other processes. GreEd is the foundation of a full-fledged business rules management system (BRMS). Ease of editing is its key strength. These tools are linked with electronic medical record systems and clinical information systems.
Ditchers is a multiplayer action game where underground tanks use a variety of weapons to find and destroy each other. Tanks dig tunnels in the soil with a limited supply of energy that can be refilled only in homes (as well as health). the GUI is controlled mainly by mouse, while gameplay is controlled only by keyboard. It is not difficult to create your own maps or to draw your own tank. The game supports split-screen, network games, and artificial players whose intelligence is programmable in the Lua scripting language. The game is inspired by Tunneler.
ca-ga is a toy artificial life simulation that uses genetic algorithms on large cellular automata. It uses simple but easily extended DNA that is 8k long by default, though you can take the size out to anything you have time to evolve. It sits under each cell of a 128x128 board and orders operations to transfer energy in the hopes of achieving a kill and breed. The simulation features a mutating fitness function, emergent sex, and a proof of concept real world fitness function. After enough generations, the cells or genes could achieve collectivism and organismhood, coordinating the values of the hotspots that determine board temperature in order to maintain a desired equilibrium. But maybe not. If you work in a fitness function, an optimizing problem solver results.