A Multi-Agent System framework to support the decision-making in complex real-world domains

The aim of this work was to develop a framework capable of supporting the decision-making process in complex real-world domains, such as environmental, industrial or medical domains using a Multi-Agent approach with Rule-based Reasoning. The validation of the framework was done in the environmental domain, particularly in the area of river basins

Multi-agent prototype for simulating scenarios for decision-making in river basin systems

Environmental systems are usually extremely difficult to be undertaken by traditional software systems. This is due to the complexity of the environmental domain. Particularly, river catchment systems are very intricate to manage in order to achieve a good quality and quantity of water at the river. Multi-Agent systems (MAS) are able to cope with this complexity by integrating all the water systems involved at catchment scale through several agents who model real environmental situations. This work presents the development of our MAS prototype made in the agent platform Jadex. The design was made using the methodology Prometheus. The aim of our prototype is to provide feasible solutions at catchment scale throughout modelling and simulation of different scenarios in a river basin system.Postprint (published version

A Multi-Agent System framework to support the decision-making in complex real-world domains

The aim of this work was to develop a framework capable of supporting the decision-making process in complex real-world domains, such as environmental, industrial or medical domains using a Multi-Agent approach with Rule-based Reasoning. The validation of the framework was done in the environmental domain, particularly in the area of river basins

A Multi-Agent System framework to support the decision-making in complex real-world domains

The aim of this work was to develop a framework capable of supporting the decision-making process in complex real-world domains, such as environmental, industrial or medical domains using a Multi-Agent approach with Rule-based Reasoning. The validation of the framework was done in the environmental domain, particularly in the area of river basins

A review on multi-agent platforms and environmental decision support systems simulation tools

This work depicts the state of the art of Multi-agent systems platforms for the development of Multi-agent systems, and reviews the Environmental Decision Support Systems Simulation tools available.Postprint (published version

A review on multi-agent platforms and environmental decision support systems simulation tools

This work depicts the state of the art of Multi-agent systems platforms for the development of Multi-agent systems, and reviews the Environmental Decision Support Systems Simulation tools available

Multi-agent prototype for simulating scenarios for decision-making in river basin systems

Environmental systems are usually extremely difficult to be undertaken by traditional software systems. This is due to the complexity of the environmental domain. Particularly, river catchment systems are very intricate to manage in order to achieve a good quality and quantity of water at the river. Multi-Agent systems (MAS) are able to cope with this complexity by integrating all the water systems involved at catchment scale through several agents who model real environmental situations. This work presents the development of our MAS prototype made in the agent platform Jadex. The design was made using the methodology Prometheus. The aim of our prototype is to provide feasible solutions at catchment scale throughout modelling and simulation of different scenarios in a river basin system