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JavaRisk v2 is a strategic game roughly based on the board game Risk. The game features network support for multiplayer games, hot-seat sessions for playing with friends on one PC & a challenging Ai. We also provide an implementation of the original Risk
superseded by SgpDec http://sgpdec.sf.net Javaimplementation of the holonomy algorithm for the algebraic hierarchical decomposition of finite state automata.
wsmo4j is an API and a Reference Implementation for building Semantic Web Services applications compliant with the Web Service Modeling Ontology (http://www.wsmo.org/)
Program to performing the complete cycle of neural networks analysis: preparing data, choosing neural network (CasCor, MP, LogRegression, PNN), learning of network, monitoring learning state, ROC-analysis, optimization of network parameters using GA.
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Fuzzy numbers and basic fuzzy arithmetics (+, -, *, /, 1/x) implementation written in Java. Should be used as a library, but it also has a GUI which demonstrates its capabilities (using SWT widgets).
weka outlier is an implementation of outlier detection algorithms for WEKA.
CODB (Class Outliers: Distance-Based) Algorithm is the first algorithm developed using WEKA framework.
A Checkers game implementation in Java that is optimized for AI's. It includes a basic GUI and a trainer for learning AI's. This started as a Checkers program for a Checkers AI contest in the Stanford EPGY 2008 summer AI course.
This software is related to ST-Guide project, an initiative arisen at the Institute of Computing of State University of Campinas (IC-UNICAMP) to solve the practice guideline formalization and implementation problems.
The implementation of Bee Hive @ Work algorithm that simulates the foraging behavior of honey bees in nature. The aim is to provide an extensible framework that can be used by researchers to simply create new applications of this algorithm.
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PDDL4J is an open source library to facilitate javaimplementation of planners based on the PDDL (Planning Description Language). The library contains a parser on the last version of PDDL 3.0 and an example of graphplan implementation.
proGPUKLT is a library for the Processing programming language and environment that wraps a GPU-implementation of the Kanade-Lucas-Tomasi feature tracker used for computer vision applications.
The jTTS project provides a refactored implementation of the FreeTTS software speech synthesizer. Rather than building upon the flite implementation of a TTS engine, it implements engine capabilities from Festival. It also supports British English.
fuzzyweka provides an implementation of a classifier for fuzzy classification based on fuzzy if-then rules for WEKA.This classifier renowned the Simple Fuzzy Grid method proposed by the work of Ishibuchi and Al.
JKalman is an Open Source Javaimplementation of Kalman filter.
Kalman filter is an efficient computational (recursive) tool to estimate the dynamic state of a process in a way that minimizes the mean of error.
HDP-IS is the engine of a intellectual services rendering system. The purpose of the project is analysis and implementation of new control models and tools of information interaction during process of rendering of intellectual services.
The Simple Interface for Global Optimization Algorithms allows the specification of arbitrary search/optimization problems, solving of these problems, and the specification and implementation of optimization algorithms like evolutionary algorithms.
This is an implementation of the Granular Neural Network architecture defined by S. Dick, A. Tappenden, C. Badke, O. Olarewaju. It is provided for the use of the public, and the convenience of researchers who may wish to develop or use this new system.
RL Poker is a study project Javaimplementation of an e-soft on-policy Monte Carlo Texas Hold'em poker reinforcement learning algoritm with a feedforward neural network and backpropagation. It provides a graphical interface to monitor game rounds.
Random Forest classification implementation in Java based on Breiman's algorithm (2001). It assumes the data is in the form [ X_1, X_2, . . ., X_M, Y ] where Y \in {0, 1, . . ., C}. The user must define M, C, and m initially.