FreeFuzzyTime is a time reasoner based on Fuzzy Temporal Constraint Networks (FTCN), which treats fuzzy temporal information efficiently. It can be integrated into applications for diagnosis. This is especially important in areas like Intensive Care Units, where patients' data are handled by a temporal database. FuzzyTime uses a structure which consists of three levels of abstraction. The upper layer is the user interface, where a translator transforms the expressions introduced by the user into temporal relations between temporal entities (points and intervals). The semantics of a user’s expressions are analyzed and stored in the intermediate layer, or temporal world. Finally, the bottom layer is based on the FTCN model.
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.
Proper nouns is a PHP class that can extract proper nouns from texts. It takes a text string and can detect which words may be proper nouns of people or other entities. It uses some heuristics like the capitalization of the first letter of a word, the presence of a person's title preceding the nouns, etc. The class may consider consecutive proper names as a single proper name. The class assumes English by default but may be configured to work with other idioms.
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.
The ATRACO Project is a prototype implementation of a trusted ambient ecology system that runs and manages activity spheres in an Ambient Intelligence Space. Activity spheres are realized by automatically discovering, selecting, and adapting smart devices (artefacts) existing in the space, according to user's preferences, customs, and activities. OWL ontologies are used for modeling user profile, devices, activities, and goal descriptions. Abstract plans are bound to specific devices, methods, and values through semantic matching.
MyMediaLite is a lightweight, multi-purpose library of recommender system algorithms. It addresses the two most common scenarios in collaborative filtering: rating prediction (e.g. on a scale of 1 to 5 stars), and item prediction from implicit feedback (e.g. from clicks or purchase actions). It contains dozens of recommender engines, including state-of-the-art matrix factorization methods. It also supports real-time updates to the recommender engines, storing engines to disk and reloading them again, and several evaluation measures to compare the accuracy of different recommender system methods. Three command-line programs that offer most of the functionality contained in the library are included.
Beneath A Binary Sky is an engine that simulates a world in which robots controlled by programs can live, work, fight, and even bear new children. The long-term goal of the project is to create a fully configurable engine that can simulates any kind of world, from simple to complex ones with many rules and events.
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.
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.