Windocks - Docker Oracle and SQL Server Containers
Deliver faster. Provision data for AI/ML. Enhance data privacy. Improve quality.
Windocks is a leader in cloud native database DevOps, recognized by Gartner as a Cool Vendor, and as an innovator by Bloor research in Test Data Management. Novartis, DriveTime, American Family Insurance, and other enterprises rely on Windocks for on-demand database environments for development, testing, and DevOps. Windocks software is easily downloaded for evaluation on standard Linux and Windows servers, for use on-premises or cloud, and for data delivery of SQL Server, Oracle, PostgreSQL, and MySQL to Docker containers or conventional database instances.
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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.
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.
Junie is an AI-powered coding agent developed by JetBrains designed to enhance developer productivity by integrating directly into popular IDEs such as IntelliJ IDEA, PyCharm, and Android Studio. It supports developers by assisting with code completion, testing, and inspections, ensuring code quality and reducing debugging time.
Java library devoted to handle Genetic Algorithms and Classifier Systems. It has been engineered to be used into agent based simulation models and to search bounded optimal solutions in wide solution spaces. It runs on distributed clusters.
This project investigates emerging agent societies undergoing evolutionary, individual, and social learning. The project involves an agent modeling environment, monitoring mechanisms, simulation engine and a distributed p2p platform. All this in Java.
Anarchonomy is a Java application simulating AIagent based production, consumption, trade and force with a minimum of economic assumptions, letting users create and change their own rule and scenario sets.
An interface to an artificially intelligent agent for playing Magic: The Gathering by Wizards of the Coast. And one or more agents for static or adaptive playing of the game against other artificial or human players.
This project is an example of a software agent for playing simulated soccer. The agent uses a FSM library and an Expert System library to make decisions.
This project aims at creating rationally thinking agents. The agent gather information through command line or network and stores it in its memory. It uses Stanford's NLP library to understand the language statements.
Agents design supporting system for simulation models
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 is an implementation of a computational framework that addresses general-interest low-level problems such as real-time synchronization, sound communication and spatial agent mobility.
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.