QSMM, the "QSMM State Machine Model", is a framework for development of non-deterministic intelligent state models and systems with spur-driven behavior. It includes low-level functions for generating optimal actions by the system and high-level functions for building multinode models. In a multinode model, nodes represent components of a system you develop which choose optimal actions using the framework and can correspond to entities external to the system and which behavior is to be learnt. A node can choose optimal actions based on a current node state which is either set manually by your program or is identified automatically by the framework. Probability profiles for a state transition matrix and an action emission matrix of the node can be specified using an assembler program with a user-defined instruction set.
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.
ESKit is a portable C library that provides implementations of some self-adaptive evolution strategies. It features a simple API, comprehensive documentation, three state of the art self-adaptive evolution strategies (Isotropic CSA-ES, CMA-ES, and Separable CMA-ES), and can optionaly uses LAPACK. The implementation strictly follows the published papers introducing those evolution strategies and performs as in the published papers. A basic benchmark program is provided.
lemontree provides a very fast Java class for the Walsh Hadamard transform (WHT) and O'Connor transform (OCT). You can regard the OCT as a black box which turns arbitrary numerical data into data with a Gaussian distribution. There are inverse transforms, also. It has many applications, such as Random Projections, Compressive Sensing, Neural Nets, and Genetic algorithms.
Twibright Casanova is a commandline program to partially automate conversation on dating services. Casanova stores conversation in pairs into a database. It gathers conversation statistics and suggests how to respond like an average dating service user. Such answers are likely to be familiar to others and are thus designed to increase your popularity through the psychological exposure effect. It is meant to be helpful to people with social difficulties.
The main goal of the Cognitive Vision project is to improve the results of artificial intelligence. The current scope is to equip the abilities of the AIBO (robot dog of the Sony) to explore its environment and to recognize the local position (e.g. navigation in a room). The first trial is to use and develop image processing methods with a single webcam and to apply these techniques with AIBO.
METSlib is an object-oriented metaheuristics framework in C++ designed to make implementing or adapting models easy. The model is modular: all the implemented search algorithms can be applied to the same model. METSlib implements the basics of some metaheuristics algorithms, such as Random Restart Local Search, Variable Neighborhood Search, Iterated Local Search, Simulated Annealing, and Tabu Search. For each algorithm, you must implement an objective function, a neighborhood (move manager), and some moves. Tabu Search is one of the fastest ways to generate near-optimal solutions to a wide range of hard combinatorial optimization problems.
CellWriter is a grid-entry natural handwriting input panel. As you write characters into the cells, your writing is instantly recognized at the character level. When you press 'Enter' on the panel, the input you entered is sent to the currently focused application as if typed on the keyboard. Writer-dependent, CellWriter learns your handwriting for reliable recognition. Correcting preprocessor algorithms account for digitizer noise, differing stroke order, direction, and number of strokes. Unicode support enables you to write in any language.