Open Source Java Artificial Intelligence Software - Page 29

CommonReality aims to bring a standard to the cognitive architecture, robotics, and sensor development community. CommonReality specifies a common interface for parceling the world into cognitively processable components. See the forums and mailing list

Free and open source grammar checker. Currently capable of identifying errors: 1) Incomplete sentence (fragment) 2) Subject Verb Plurality Agreement Incomplete Sentence Example: "John a very man." Subject Verb Plurality Agreement Example: "They walks into a classroom." This software utilizes parts-of-speech tagging software that was developed and published by the Natural Language Processing Group at Stanford University. Many thanks!!! (Full citation in README)

CRML - Conflict Resolution Markup Language - http://www.equiforum.org - is an open source innitiative to develop an XML based Semantic Web ontology (RDF, OWL) for researchers interested in peace to create a standard way of collecting and sharing informa

Conrad is both a high performance Conditional Random Field engine which can be applied to a variety of machine learning problems and a specific set of models for gene prediction using semi-Markov CRFs.

Constrainer is a Constraint Satisfaction Environment written in Java. It is currently being actively developed and supported as part of another project OpenL Tablets here on Sourceforge: http://sourceforge.net/projects/openl-tablets/?source=navbar

Convince Me is a Java application for generating and analyzing arguments. Convince Me uses a connectionist model, called ECHO, to provide feedback on the coherence of the arguments entered into the application.

Cougar Squared is a new Java library for machine learning and data mining research, supporting research needs of the community. It is written by researchers for researchers. It extends the WEKA and YALE machine learning frameworks.

Since the method proposed in https://www.researchgate.net/publication/262599199_Unifying_Provenance_and_Debugging_for_Answer-Set_Programs?ev=prf_pub is based on meta-programming, it is possible to use existing state-of-the-art software systems that support well-founded and answer-set semantics, which allowed us to start developing this new tool by extending the one that exists related to a debugging approach: Spock, hence the name Cpt. Kirk. Furthermore and more importantly, one direction to explore is to use the technique of reification as described in "metaASP" to obtain the implicants via a saturation technique, and obtaining the prime implicants of provenance formulae by optimization and thus proper minimal justifications.

Harnessing the wisdom of the crowd to trade.

Optical Character Recognition (OCR) software.

Cutting Problem solved by Genetic algorithms. The goal is to cut a rectangular plate of material into more smaller rectangles. The cuts must be rectangular and guillotinable.

This project is part of the "MRP" AI course held at the Dept. of computer science, Comenius University, Bratislava, Slovakia. The goal is a creation of a machine translation system (partly) specific for the Czech and Slovak languages only.

D-Cog (Declarative-Cognition) is a Java based framework for training software components (reusable, object-oriented, interface-driven components). Instead of programmed, software components are trained by example to get the expected results.

D.U.C.K (Determine segmentation of Unknown words by using Context Knowledge)is an NLP tool, which aims to find the correct segmentation for unknown words in written Hebrew. Statistics from different scopes will be used to determine the segmentation.

D3Kbot is a list handling chat bot for twitch.tv streamers The bot will allow chatters to join a waiting list to play on stream!! PLEASE READ THE WIKI vvvvvvvvvvvvvvvvvvvvvvvvv

Dataset Retrieval through Intelligent Agents (DARIA): is an Open Source project for facilitating the construction of ARFF data set files for use with WEKA or any such Machine Learning/Data Mining Software through the use of Intelligent Agents.

DBpedia has moved to GitHub: https://github.com/dbpedia/extraction-framework/wiki The mailing lists are still hosted by SourceForge. DBpedia is a community effort to extract structured information from Wikipedia and to make this information available on the Web. DBpedia allows you to ask sophisticated queries against Wikipedia and to link other datasets on the Web to Wikipedia data.

DCOPolis is a framework for comparing and deploying distributed decision processes in heterogeneous environments, including simulation in a virtual machine.

We propose the use of Differential Evolution algorithm for the weight adjustment of base classifiers used in weighted voting heterogeneous ensemble of classifier. Average Matthews Correlation Coefficient (MCC) score, calculated over 10-fold cross-validation, has been used as the measure of quality of an ensemble. DE/rand/1/bin algorithm has been utilised to maximize the average MCC score calculated using 10-fold cross-validation on training dataset. The voting weights of base classifiers are optimized for the heterogeneous ensemble of classifiers aiming to attain better generalization performances on testing datasets.

Some of the usual problems for Learning vector quantization (LVQ) based methods are that one cannot optimally guess about the number of prototypes required for initialization for multimodal data structures i.e.these algorithms are very sensitive to initialization of prototypes and one has to pre define the optimal number of prototypes before running the algorithm. If a prototype, for some reasons, is ‘outside’ the cluster which it should represent and if there are points of a different categories in between, then the other points act as a barrier and the prototype will not find its optimum position during training. Since the model complexity is not known in many cases, we avoid this problem by introducing a "Dynamic" version of LVQ. Dynamic-GRLVQ (DGRLVQ), which adapts the model complexity to the given problem during training by adding or removing prototypes dynamically/realtime one by one for each category until satisfactory classification results are achieved.

A multi-agent architecture for building interactive dramas. It uses the Jason's BDI engine, being the Jason's agent-oriented programming language utilized for performing the drama management and for authoring behaviors for the characters.

DIET Agents is a lightweight, scalable and robust multi-agent platform in Java. It is especially suitable for rapidly developing P2P prototype applications and/or adaptive, distributed applications that use bottom-up, nature-inspired techniques.

The program puts beats through evolution - survival, mutations, reproduction. The purpose, in the words of Africa Bambaataa - Looking for the perfect beat. Using a genetic­ algorithmic framework, the user's taste defines a Beat fitness function - she decides which beats survive and breed, and which join the choir invisible. In addition, the user can easily define an automatic fitness function, put the program on 'auto­pilot' mode, and let it speed up evolution. Different types of mutations (including inactive genes, changing instruments, and more) occur randomly (or at the user's control), and the user can add her own beats to the population. The program was written by Nir Rosenfeld and Assaf Michaely.

DL-Learner is a tool for learning concepts in Description Logics (DLs) from user-provided examples. Equivalently, it can be used to learn classes in OWL ontologies from selected objects. As of August 2014, the source code management of DL-Learner has moved to Github: https://github.com/AKSW/DL-Learner Please use this for the latest code and issue tracking and the website (http://dl-learner.org) for general information.

DLPlan is an open-source planner implemented in Java that uses Semantic Web standard technologies for knowledge representation and reasoning.