Open Source Java Agentic AI Tools - Page 2

Hollaka Hollala is a chatbot engine and IRC bot. The chatbot engine uses a knowledge base organized in an XML file and WordNet for dictionary lookup. The IRC Bot has some WordNet- and Web-based functionality and is hot-extensible through Ruby programs.

JIMO(Java-based Instant Messenger One), supports multiple protocols via services, including AIM, MSN, Yahoo, IRC. It is flexible through its plugin architecture, with an intelligent agent, Chatbot.

The project has moved to github https://github.com/EnFlexIT/AgentWorkbench Agent.GUI is a simulation framework and toolkit based on the JADE framework. It provides functionalities for time aspects, agent-environment interaction, visualization and load balancing, Furthermore, the included application focuses the usability for end users.

jSemanticService is a lightweight framework that allows to use Rules and Semantics in Services or Applications using Annotations. Features: jBoss Rules (Drools 4.0) as Business Rules Engine provider. Full support of Annotations, Spring, Flex/Blaze DS.

Cognitive agent based social simulation toolkit (RBOT+MRS) / production system based on ACT-R (http://act-r.psy.cmu.edu) allows for modelling single actor cognitive experiments (RBOT) and multiple actors in a simulated (semiotic) world (RBOT + MRS).

ASTRA is an implementation of AgentSpeak(TR) that has built in support for the CArTaGo and EIS environment models. Support for conversation management is provided in the form of the ACRE conversation manager.

GGPServer is a web server based on Apache Tomcat that allows to play and watch matches between registered general game glaying (http://en.wikipedia.org/wiki/General_Game_Playing) programs.

Hemera is a Virtual Intelligent System aggregating some more advanced Artificial Intelligence Technologies (speech, speech recognition, form recognition, motion recognition ...); with applications in daily tasks, domotics and robotics ...

This project develops a Java API and tools to specify and execute organisations for multiagent systems based on Moise model. This model is built upon concepts like groups, roles, global goals and plans, and obligations.

NOTE: Since 2022 this hosting of PLEXIL is deprecated. PLEXIL has moved to GitHub at https://github.com/plexil-group/plexil. Documentation is found at https://plexil-group.github.io/plexil_docs. Please use these new locations. PLEXIL is a plan execution language and technology developed by NASA and used in automation and autonomy applications at NASA and in the public sector. This software includes compilers for the language, the executive (runtime environment), and related tools. It runs on Unix-based computers, including macOS and Linux.

This project proposes a virtual laboratory for social scientists interested in the modelling, analysis and behavioral simulation of power relationships within organizations and more generally in systems of collective action. This software is grounded on the works lead by Sibertin-Blanc and Roggero on the formalization of the Sociology of Organised Action [Crozier and Freidberg]. Visit the homepage of the project on soclabproject.wordpress.com for tutorials, examples and further theoretical position.

The Teachingbox uses advanced machine learning techniques to relieve developers from the programming of hand-crafted sophisticated behaviors of autonomous agents (such as robots, game players etc...) In the current status we have implemented a well founded reinforcement learning core in Java with many popular usecases, environments, policies and learners. Obtaining the teachingbox: FOR USERS: If you want to download the latest releases, please visit: http://search.maven.org/#search|ga|1|teachingbox FOR DEVELOPERS: 1) If you use Apache Maven, just add the following dependency to your pom.xml: <dependency> <groupId>org.sf.teachingbox</groupId> <artifactId>teachingbox-core</artifactId> <version>1.2.3</version> </dependency> 2) If you want to check out the most recent source-code: git clone https://git.code.sf.net/p/teachingbox/core teachingbox-core Documentation: https://sourceforge.net/p/teachingbox/documentation/HEAD/tree/trunk/manual/

A Practical Agent Programming Language

a sandbox for trying my engine ideas

A chatbot framework currently implementing the ErkiTalk and irc protocol. By specifying parsers for the server's input one can easily create custom bots (if one can program in java of course ;).

ABSim is an Agent-Object-Relationship (AOR) simulation system based on a Java program library. The development of ABSim has terminated. Its successor is <a href="http://oxygen.informatik.tu-cottbus.de/aor/?q=node/2">AOR-JSim </a>

A platform for setting up autonomic services in a distributed environment. Provides service discovery, service provisioning / usage, autonomic adaptation to the context, mobility, support for supervision and service aggregation, and more.

ACLAnalyser is a powerful tool to validate, verify and debug a MAS (Multi Agent Systems). ACLAnalyser sniff all messages exchanged between agents in a MAS, store them in a data base, and recover them later to get interesting information.

ACT-CV provides an easy to use interface between visual objects on the computer screen (or another video source) and a cognitive modeling tool.

An architecture development environment for distributed agent architectures for virtual and robotic agents with focus on human-robot interaction

Main task is automating the creation of simulation models of complex model. The originalities of proposed software are explicit representation of conceptual model in the concept – attribute – relation form and applying expert system approach to transform designed ontology into agent model. Researchers develop the structure and behavior of agents using declarative approach. Web: https://84.237.20.67/RFFI/Main.php

This project about providing run-time support for developing Decentralized Autonomic Computing systems (Eclipse Innovation Grand). Currently the project contains a automatic guided vehicle (AGV) simulator and an editor and visualisation as eclipse plugin

This is a framework to develop Contexts and Agents and a Container to run them. The Container lets each Agent interact with the Context and other Agents. The agents are deployed in jar files and each one runs in an exclusive sandbox.

AMASBE (Advanced Multi Agent System Bullwhip Effect) is a bullwhip-effect control system for supply chains based on forecasts that uses Java Agent DEvelopment Framework (JADE).