Search Results for "artificial intelligence projects in java" - Page 27
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Showing 1838 open source projects for "artificial intelligence projects in java"
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CARTAGO-WS is a platform for developing SOA applications based on Web Services exploiting agent programming models and technologies.
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Kutkut Chatbot
AI chat bot for all platforms.
KutKut ChatBot is a chatter bot program, developed to chat with you using artificial intelligence. You can chat with this program as you talk to a human. It features a GUI interface to send and receive chat messages and many more features. Kukut Chatbot can run on any platform, including Windows, Linux, Mac OS, and *BSD. -
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Serangga Warcraft
Mini Warcraft game using Greenfoot
This game using any Artificial Intelligence. Use same Player Object but can know this is hero or enemies. The player will attack if it has different type. Every character in this game has different strength and skill. This game is created by Ahmad Sidrap <ahmadsidrap@gmail.com>;. -
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Darwin 2: Java Framework for Evolutionary Computation (genetic algorithm, GA). A true framework with out-of-the-box functionality and extensibility of all classes. Interface-based pattern with dependency-injection to configure components.
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ABC-DynF
Adaptive Bayesian Classifier with Dynamic Features
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Ontology Testing
Part of the XD Tools plugin for ontology testing.
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TreeLiker
TreeLiker is a collection of fast algorithms for working with complex
TreeLiker is a collection of fast algorithms for working with complex structured data in relational form. The data can, for example, describe large organic molecules such as proteins or groups of individuals such as social networks or predator-prey networks etc. The algorithms included in TreeLiker are unique in that, in principle, they are able to search given sets of relational patterns exhaustively, thus guaranteeing that if some good pattern capturing an important feature of the problem... -
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AdPreqFr4SL
Adaptive Prequential Learning Framework
The AdPreqFr4SL learning framework for Bayesian Network Classifiers is designed to handle the cost / performance trade-off and cope with concept drift. Our strategy for incorporating new data is based on bias management and gradual adaptation. Starting with the simple Naive Bayes, we scale up the complexity by gradually updating attributes and structure. Since updating the structure is a costly task, we use new data to primarily adapt the parameters and only if this is really necessary, do we... -
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Robotypo
Robotypo Web app hosts battles between robots - simple Java programs.
Robotypo is a Web app which hosts battles between robots - simple Java programs. This project is the Eclipse project archive of RobotypoCreator, which is for creating robots on Robotypo: http://robotypo.appspot.com -
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Sentence Composer
Compose the writings semi-automatically
Please click on "BROWSE ALL FILES" to open a README! What is this program? This program is meant to search the texts and suggest sentences that might follow any inputted sentence. It was meant to help composing the writings. How was it made? First, I made a chatterbot to understand the concept of "predicting" the next sentence (worked as good as the Cleverbot), then I made this program that is aided by an user to compose the new writings. SAMPLE: Input sentence was "Learning... -
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jaRBM
A Java library for Restricted Boltzmann Machines
A Java library of Restricted Boltzmann Machines and associated algorithms. Javadoc is included in the library. -
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MACSY
Modular Architecture for Cognitive Systems
Macsy is a framework for developing modular agents. Data is organised in blackboards. Computations are performed by modules that annotate the data in the blackboards. Modules communicate indirectly through the annotations that they leave in the blackboards. The framework enables the development of decentralised software agents for a plethora of applications. -
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Dutch sentiment analysis engine
Een module om de sentiment van een stuk Nederlandse tekst to bepalen
This application was developed by Incentro to satisfy requests by clients for a sentiment analyser for the Dutch language. It is currently in it's alpha stage and we expect to have a beta release by November 2012. If you would like to help with the development or testing of this product please contact us at +31[0]15 76 40 750 - of info {at} incentro.com. Deze applicatie is ontwikkeld door Incentro om te voldoen aan klantaanvragen voor een sentimentanalyse module voor de Nederlandse taal.... -
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Black Hole Cortex
Sphere surface layers of visual cortex approach maximum info density
Near the surface (even horizon) of a black hole, there is maximum information density in units of squared plancks (and some translation to qubits). Similarly, our imagination is the set of all possible things we can draw onto our most dense layer of visual cortex in electricity patterns. Bigger layers have more neurons to handle those possibilities. A Black Hole Cortex is a kind of visual cortex that has density of neuron layers similar to density at various radius from a black hole. What we... -
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SIGGI
Simulation of Ideation Games and Games concerning Ideation
This is the SIGGI program used for a diploma thesis in 2012. It can be used as a solid basis for research concerning Ideation Games (Idea Creation). If you have module requests or want to contribute please contact the author. -
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Software agents and human actors combine their decision making skills to arrive at efficient solutions to real-life planning and scheduling problems, especially in domains where unexpected incidents require changes to existing plans.
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DraughtsDotNet
Realization of board game "Draughts" containing various rules.
This project is intended to realize the board game "Draughts", also known as "Checkers". As a task to fulfill the game must support various rules and game modes. It should also be possible to load new rules and on artificial intelligence based players at runtime. Therefor a framework will be published which allows everybody to do so. Beside the possibility for playing games on local devices, a multiplayer mode will be offered. Project is in beta state. Update(11/09/12): New version added... -
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Search Agents - a framework for collaboration of meta-heuristic agents
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JaCHMM
Java Conditioned Hidden Markov Model library
The JaCHMM - the Java Conditioned Hidden Markov Model library - is a complete implementation of a CHMM in Java ready to use either on command line or as a module. The JaCHMM is licenced under the BSD licence. It gives an implementation of the Viterbi, Forward-Backward, Baum-Welch and K-Means algorithms, all adapted for the CHMM. JaCHMM is based on the JaHMM and also designed to achieve reasonable performance without making the code unreadable. Consequently, it offers a good way of applying... -
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Tower of Zaldagor
The classic intelligent role playing game
Tower of Zaldagor is a roleplaying game (RPG) where you need to use your wits and skills to complete challenges. Blade Kahn, a king of Sonthalas, has lost his daughter to the Great White Dragon: Zaldagor. She has been kidnapped by humanoids. You have been picked among the elite to return his daugther safely. Engage into an epic story where Gods change the future and demons interfere with the present. Download and discover the beginning of an epic story. The Android version is now available!... -
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JECL, pronounced "Jekyll", is an open-source Java library implementing a variety of evolutionary algorithms. The goal is to provide a uniform interface for describing problems, running evolutionary algorithms, and accumulating results. The Java Evolutionary Computation Library is no longer under active development. We suggest the MOEA Framework (http://www.moeaframework.org/), jMetal (http://jmetal.sourceforge.net/), ECJ (http://cs.gmu.edu/~eclab/projects/ecj/) or JGAP (http...
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OpenCyc is the open source version of the Cyc(r) technology, the world's largest and most complete general knowledge base and reasoning engine. A new release with even more content, better performance, and improved reliability will be up shortly.
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Ms. Pac-Man Framework
Using reinforcement learning with relative input to train Ms. Pac-Man
This Java-application contains all required components to simulate a game of Ms. Pac-Man and let an agent learn intelligent playing behaviour using reinforcement learning and either Q-Learning or SARSA. The framework was developed by Luuk Bom and Ruud Henken, under supervision of Marco Wiering, Department of Artificial Intelligence, University of Groningen. It formed the basis of a bachelor's thesis titled "Using reinforcement learning with relative input to train Ms. Pac-Man", L.A.M. Bom...
