Open Source Java Artificial Intelligence Software - Page 5

BBalc is an open framework for the BloodBowl game. This library provides chess-computer like functions such as analysing the game and generating/proposing actions. The modular design allows users to extend existing analyse modules to fit their needs.

javafx-desktop-apps pdf image ocr icc barcode color-palette text bytes markdown html archive compress digest video audio editor converter media https://github.com/Mararsh/MyBox Self-contain packages need not java env nor installation. Jar packages need Java 16 or higher.

This is UCI Chess Engine writen in Java. Since version 1.4 (inclusive) the project was moved to https://github.com/bagaturchess/Bagatur

You can download the Color Mod at the Biogenesis main site too (included in the main download now). You also find the sourcecode there. If you want to post a review, remember that this is only a modification, so comment on my changes, not on the simulation. Original project by Joan Queralt Molina: https://sourceforge.net/projects/biogenesis/ Includes Tyler Colemans "Features Mod": https://sourceforge.net/projects/biogenesisfeatu/ Biogenesis discussion forum: https://sourceforge.net/p/biogenesis/discussion/ Biogenesis runs faster (at least for myself) if you open a Google Chrome window (don´t know why :D)

ADAMS is a flexible workflow engine aimed at quickly building and maintaining data-driven, reactive workflows, easily integrated into business processes. Instead of placing operators on a canvas and manually connecting them, a tree structure and flow control operators determine how data is processed (sequentially/parallel). This allows rapid development and easy maintenance of large workflows, with hundreds or thousands of operators. Operators include machine learning (WEKA, MOA, MEKA) and image processing (ImageJ, JAI, BoofCV, LIRE and Gnuplot). R available using Rserve. WEKA webservice allows other frameworks to use WEKA models. Fast prototyping with Groovy and Jython. Read/write support for various databases and spreadsheet applications.

A Java library as a tool to interact with a Robocup Soccer Server. It enables to play soccer with an Artificial Intelligence multi-agent team based on intelligence and decision algorithms coded in JESS language.

LExAu: Learning Expectations Autonomously. Library for on-line data driven statistical machine learning.

Project Libre is an open platform for chat bots, virtual agents, live chat, and more. It includes web and mobile services for Java, Android, iOS, and JavaScript. Project Libre includes an API, SDK, and user interface for live chat, chatrooms, forums, chat bots, virtual agents, and other services supported by the Bot Libre and Paphus servers. The hosted servers include: BOT libre! - http://www.botlibre.com - free chat bot creation and hosting platform FORUMs libre! - http://www.forumslibre.com - free embeddable forums LIVE CHAT libre! - http://www.livechatlibre.com - free live chat and chatrooms Paphus Live Chat - http://www.paphuslivechat.com - commercial live chat, chatroom, forums, and chat bot hosting service Also hosted on GitHub, https://github.com/paphus/Project-Libre

The source code has been migrated and is now hosted on Github: https://github.com/jenetics/jenetics Jenetics is an advanced Genetic Algorithm, Evolutionary Algorithm and Genetic Programming library, respectively, written in modern day Java. It is designed with a clear separation of the several algorithm concepts, e. g. Gene, Chromosome, Genotype, Phenotype, Population and fitness Function. Jenetics allows you to minimize or maximize the given fitness function without tweaking it. In contrast to other GA implementations, the library uses the concept of an evolution stream (EvolutionStream) for executing the evolution steps. Since the EvolutionStream implements the Java Stream interface, it works smoothly with the rest of the Java Stream API. Other repositories: - https://github.com/jenetics/jenetics Maven: - https://mvnrepository.com/artifact/io.jenetics

Java based portable simulator to visualize and understand the Robot Localization, Path planning, Path Smoothing and PID controller concepts. It is very flexible and easy to use. It supports multiple platforms. The source code is available on Github where you can find latest development and up-to-date documentation. Source : https://github.com/habsoft/robosim Blog : https://robosimblog.wordpress.com Note : Use jre 1.7 to run it. 1.Histogram Filter 2.Histogram Filter with Sonar Range Finder (Experimental) 3.Kalman Filter 4.Particles Filter 5.Path Planning 6.Path Smoothing 7.PID Controller Path Planning Algorithms 1.BFS 2.DFS 3.A Star 4. Dynamic Programming Heuristics i. Euclidean Distance ii. Euclidean Distance(+) iii. Euclidean Distance(*) iv. Euclidean Distance Squared v. Manhattan Distance vi. Chebyshev Distance

DSTK - Data Science Toolkit 3 is a set of data and text mining softwares, following the CRISP DM model. DSTK offers data understanding using statistical and text analysis, data preparation using normalization and text processing, modeling and evaluation for machine learning and algorithms. It is based on the old version DSTK at https://sourceforge.net/projects/dstk2/ DSTK Engine is like R. DSTK ScriptWriter offers GUI to write DSTK script. DSTK Studio offers SPSS Statistics like GUI for data mining, and DSTK Text Explorer offers GUI for Text Mining. DSTK Engine and DSTK ScriptWriter are opensource, but DSTK Studio and Text Explorer requires small amount of payment. DSTK Studio and Text Explorer are free to use 10 times

In data classification, there are no particular classifiers that perform consistently in every case. This is even worst in case of both the high dimensional and class-imbalanced datasets. To overcome the limitations of class-imbalanced data, we split the dataset using a random sub-sampling to balance them. Then, we apply the (alpha,beta)-k feature set method to select a better subset of features and combine their outputs to get a consolidated feature set for classifier training. To enhance classification performances, we propose an ensemble of classifiers that combine the classification outputs of base classifiers using the simplest and largely used majority voting approach. Instead of creating the ensemble using all base classifiers, we have implemented a genetic algorithm (GA) to search for the best combination from heterogeneous base classifiers. The classification performances achieved by the proposed method method on the chosen datasets are promising.

Venice is a stock market trading programme that supports portfolio management, charting, technical analysis, paper trading and genetic programming. Venice runs in a graphical user interface with online help and has full documentation.

Mindolph is an open source personal knowledge management software with Gen-AI support for all desktop platforms.

Molle is a cross-platform prover for modal logic, which exploits the modal semantic tableaux method. It features a very usable graphical interface, with interactive representation of generated models. Molle is maintained by Politecnico di Milano.

The objective of this project is to make available an open-source version of our Multifactor Dimensionality Reduction (MDR) software. MDR is a nonparametric alternative to logistic regression for detecting and characterizing nonlinear interactions.

Sanchay is a collection of tools and APIs for language researchers. It has some implementations of NLP algorithms, some flexible APIs, several user friendly annotation interfaces and Sanchay Query Language for language resources.

A solution for Home automation, with HTTP access to manage Tini Board, X10 - I2C - LCD components. You can add your own manager and exchange his services with other. All manager are plug on a kernel (Servlet Java).

Rule-action based term rewriting framework, designed be embedded in Java applications.

ALICE utilizes AIML (Artificial Intelligence Markup Language) to form responses to your questions and inputs. Unlike other commercial chat robot software costing thousands of dollars, ALICE is freely available under the terms of the GNU Public License

CAMA (Context-Aware Mobile Agents) is a middleware for supporting mobile agents coordination. It is based on Linda-style coordination and provides numerous extentions for interoperability and fault-tolerance. It supports portable platforms such as PDAs.

Agent inter-platform mobility service for the well-known JADE agent platform. This service allows software agents to move from one execution platform to the next, carrying their own data and state, and resuming their execution upon arrival.

LillyTab is a modular description logic consistency checker (reasoner) with support for a subset of OWL/DL.

Mandarax is a pure Java implementation of a rule engine. It supports mutiples types of facts and rules based on reflection, databases, EJB etc, supporting XML standards (RuleML 0.8). It provides a J2EE compliant inference engine using backward chaining.

GLD is a traffic flow simulator which can be used to evaluate the performance of AI traffic light controller algorithms and colearning navigation algorithms for cars. It is a discrete simulation which is designed to be easy to expand.