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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.
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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 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.
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.