M. Alicia Pérez

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Planning is a complex reasoning task that is well suited for the study of improving performance and knowledge by learning, i.e. by accumulation and interpretation of planning experience. PRODIGY is an architecture that integrates planning with multiple learning mechanisms. Learning occurs at the planner’s decision points and integration in PRODIGY is(More)
The aim of this study was to address the effect of objective age of acquisition (AoA) on picture-naming latencies when different measures of frequency (cumulative and adult word frequency) and frequency trajectory are taken into account. A total of 80 Spanish participants named a set of 178 pictures. Several multiple regression analyses assessed the(More)
Most nonlinear problem solvers use a leastcommitment search strategy, reasoning about partially ordered plans. Although partial orders are useful for exploiting parallelism in execution, leastcommitment is NP-hard for complex domain descriptions with conditional effects. Instead, a casual-commitment strategy is developed, as a natural framework to reason(More)
The name-picture verification task is widely used in spoken production studies to control for nonlexical differences between picture sets. In this task a word is presented first and followed, after a pause, by a picture. Participants must then make a speeded decision on whether both word and picture refer to the same object. Using regression analyses, we(More)
Computer games have become a big software industry. From the early days of the use of AI to solve classical games, such as chess or checkers, we are now seeing an intensive use of graphics to attract gamers. And, where has AI gone in the meantime? AI in games, normally refer to either the designing the behaviour of stock AI agents, like Bots (automated(More)
Process planning poses significant computational requirements due to the variety of alternative processes, their complexity, and their interactions. General-purpose planners are generally not considered a practical approach, and most current research focuses on special-purpose planning systems. Research within the PRODIGY framework aims to provide(More)
The purpose of a learner is to make changes in a performance system to do similar tasks more effectively the next time. The meaning of “more effectively” can be only asserted in the context of the learner’s goals. Three types of learning goals can be distinguished in the context of planning systems: domain goals, planning efficiency goals, and plan(More)