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This project aims to promote the MultiAgent Programming (MAP) approach by providing a suitable integration of tools and languages for programming the following dimensions: agents (Jason), environment (Cartago), and organisation (Moise).
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.
e-Advisor is a multiagent system for computerized graduate program planning. It is designed to guide students in course selection and generates suitable personalized study plans based on a knowledge-level model of the curriculum.
BAAL is the acronym for Believable Agents Architecture for eLetronic entertainment.
An architecture for development of believable agents in a multiagent system, with focus on eletronic entertainment, specifically on eletronic games.
Get full visibility and control over your tasks and projects with Wrike.
A cloud-based collaboration, work management, and project management software
Wrike offers world-class features that empower cross-functional, distributed, or growing teams take their projects from the initial request stage all the way to tracking work progress and reporting results.
Cog-Trust implements a cognitive theory of trust for social agents. It includes a testbed for testing and protopying hybrid agents. Deliberative modules are coupled to classifiers and cognitive maps, used for the assesment of trust and delegation.
SimIS presents an agent-based simulation environment from multiagent research to simulate Internet-of-Services systems. The simulation environment bases on Repast Simphony 1.2 (http://repast.sourceforge.net/).
ERepSim presents an agent-based cloud simulation environment integrating electronic institutions from multiagent research to simulate Internet-of-Services systems.
ECSKernel is a multiagent coordination algorithm testbed, built on the RoboCupRescue disaster simulation platform. It is easily configurable and can be used with user-generated scenarios.
A privacy-first API that predicts global consumer preferences
Qloo AI adds value to a wide range of Fortune 500 companies in the media, technology, CPG, hospitality, and automotive sectors.
Through our API, we provide contextualized personalization and insights based on a deep understanding of consumer behavior and more than 575 million people, places, and things.
A simulation environment for 2D robots to interact and perform tasks in. Meant to be educational and demonstrate emergent behaviors. No download necessary! See demos on project website!
MultiJADS is a domain independent multiagent active design documents shell. It uses multiagent technology to support activities in concurrent and distributed design systems and is based on the Active Design Documents (ADD) approach.
Java Evolutionary MultiAgent System allows user to solve multiobjective optimization problems using evolutionary algorithms with energetical elitism in multiagent system. It allows also to perform test using varied metrics.
The Packet-World is a 100% Java testbed for investigating situated multiagent systems. The tool allows users to experiment with various aspects of multiagent systems, incl. agent architectures, stigmergy, communication, etc.
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.