Search Results for "java on java"

Amine is an Artificial Intelligence Multi-Layer Java Open Source Platform dedicated to the development of various kinds of Intelligent Systems and Agents (Knowledge-Based, Ontology-Based, Conceptual Graph -CG- Based, NLP, Reasoning and Learning, Natural Language Processing, etc.). Ontology, KB can be created and manipulated with various processes. CG theory is used as the main knowledge representation language.

Flora-2 is a powerful knowledge representation and reasoning system designed for building knowledge-intensive applications. It is based on F-logic, HiLog, Transaction Logic, and also supports defeasible reasoning. Applications include intelligent agents, Semantic Web, ontology management, and more. If you use Flora-2 and like it, please acknowledge it in your project!

A Java front-end to the dnrDALMAS Prolog Module, as described in the following paper: Hjelmblom, M., & Odelstad, J. (2009). jDALMAS: A Java/Prolog Framework for Deontic Action-Logic Multi-Agent Systems. In A. Håkansson, N. Nguyen, R. Hartung, R. Howlett, & L. Jain (Eds.), Agent and Multi-Agent Systems: Technologies and Applications (Vol. 5559, pp. 110–119).

TuCSoN (Tuple Centres Spread over the Network) is a tuple-based middleware for the coordination of distributed systems – including multi-agent systems, mobile agents and pervasive systems.

A Practical Agent Programming Language

The Virtual Storyteller is a multi-agent framework for generating stories based on a concept called emergent narrative.

GGPrayer is an AI capable of playing any game described in the GameDescriptionLanguage defined in http://games.stanford.edu/.It uses Java to communicate to the gameserver and Prolog for reasoning. Info: http://bruno-wp.blogspot.com/search/label/Software

This project will provide an interface for using Lightweight Communications Calculus (LCC) to control agents in the Unreal Tournament enviroment. It consists of a prolog-style interperter, LCC parser/IDE,a GUI / LCC editor and interfaces to the Gamebots

GASPAR implements an dialectical argumentation framework for instantiating the artificial intellect of a software agent. In this artilect, motivations are represented in mental faculties which argue why and how these motivations can be adopted.