António Garrido

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The objective of this paper is to present an integrated architecture for planning and scheduling (P&S) and, more particularly, the role of a constraint programming module (scheduler) within this framework. The underlying idea is to have two separate modules, a planner and a scheduler, solving jointly a P&S problem. In this collaborative framework, we have(More)
This paper presents three approaches to generate learning designs using existing domain-independent planners. All of the approaches compile a course defined in a standard e-learning language into a planning domain, and a file containing stu-dent's learning information into a planning problem. The learning designs are automatically generated from the plans(More)
Planning problems have been traditionally expressed by a propositional representation. However, this representation is not adequate to express numeric variables when modeling real-world continuous resources, such as fuel consumption, energy level, profit, etc. This paper presents our ongoing work to build a planner with capabilities for numeric variables,(More)
In countries like Spain, and particularly in its Mediterranean coast, there is a high degree of public awareness of the main consequences of the scarcity of water and the need of fostering efficient use of water resources. Two new mechanisms for water management already under way are: a heated debate on the need and feasibility of transferring water from(More)
AI planning techniques offer very appealing possibilities for their application to e-learning environments. After all, dealing with course designs, learning routes and tasks keeps a strong resemblance with the main planning components. This paper focuses on planning learning routes under a very expressive constraint programming approach. After presenting a(More)
The synthesis of core-shell Pt(Cu) and Pt-Ru(Cu) electrocatalysts allows for a reduction in the amount of precious metal and, as was previously shown, a better CO oxidation performance can be achieved when compared to the nanoparticulated Pt and Pt-Ru ones. In this paper, the carbon black used as the support was previously submitted to electrochemical(More)
We propose an electronic institution approach to build a virtual market as an open multi-agent system that handles several negotiation protocols in a coherent and flexible fashion. This proposal has been inspired by the work in mWater, which is developed as a regulated environment where autonomous agents trade rights for the use of water in a closed basin.(More)
One of the most common symptoms of diabetes is extreme hunger, but the brain mechanism underlying this hyperphagia is unknown. The endocannabinoid system has emerged as one of the main food intake regulators in the brain. However, the effects of type 1 diabetes on the endocannabinoid system are not completely known. Thus, the aim of the present work is to(More)
This paper presents an approach for the automated design of learning routes, based on the application of AI techniques. Our educational planning system is composed of two main modules: an instructor-oriented graphical authoring tool to model the key elements of a course and an automated planner to compute a learning route for a specific student profile or a(More)