Asimulator is a simulator for intelligent agents, useful to practice search algorithms, in AI courses, or for fun. The agent's goal is to understand precepts and respond with actions in a virtual world (consisting of a grid up to 129x129) to maximize a score. The simulator opens a socket, so any language can be used for agents. (Samples in Ada are included.) Agent debug output can be shown. Both text in a log window and symbols on the map can be used to visualize thoughts.
dysii is a C++ library for distributed probabilistic inference and learning in large-scale dynamical systems. It provides methods such as the Kalman, unscented Kalman, and particle filters and smoothers, as well as useful classes such as common probability distributions and stochastic processes.
Python Web Graph Generator is a threaded Web graph (Power law random graph) generator. It can generate a synthetic Web graph of about one million nodes in a few minutes on a desktop machine. It supports both directed and undirected graphs. It implements a threaded variant of the RMAT algorithm. A little tweak can produce graphs representing social networks or community networks. It can also output connected components in a graph.
pyECTOR is a chatterbot which learns from what people say. It is based on an artificial intelligence architecture that is inspired by Copycat, an AI system from Mitchell and Hofstadter. The Concept Network it uses is a mix between neural and semantic networks. It uses co-occurrences to compute the influence of one semantic node on another. The links are statistically weighted.
Jess is a fast, light rule engine and scripting environment written entirely in Java. You can build Java software that has the capacity to "reason" using knowledge you supply in the form of declarative rules. It is supplied as a programmer's library, making it ideal for embedding in larger applications. Jess includes development tools built on the Eclipse platform. It is free for academic use and can be licensed for commercial use.
aiParts is a set of C++ classes that can be used to implement artificial intelligence, including classes that implement the HighHope technique. Sample programs include "find the shortest path" and "assign people and/or equipment to projects". A problem assembled from subclasses of the High-Hope classes knows how to solve itself by searching for a good solution.
Cypher is an AI program that generates the RDF graph and SPARQL query representations of plain language input, allowing users to speak plain language to update and query databases. With robust definition languages, Cypher's grammar and lexicon can quickly and easily be extended to process highly complex sentences and phrases of any natural language, and can cover any vocabulary. Equipped with Cypher, programmers can begin building next generation semantic Web applications that harness natural language.
SCIP (Solving Constraint Integer Programs) is a framework for constraint integer programming oriented towards the needs of mathematical programming experts who want to have total control of the solution process and access detailed information down to the guts of the solver. It integrates techniques from mixed integer programming, constraint programming, and SAT solving. It can also be used as a pure MIP solver or as a framework for branch-cut-and-price. In order to use it, you have to link to an LP solver. It currently supports CLP, CPLEX, Mosek, Soplex, and XPress-MP.