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Heuristic search with reachability-based heuristics is arguably the most successful paradigm in Automated Planning to date. In its earlier stages of development , heuristic search was proposed as both forward and backward search. Due to the disadvantages of backward search, in the last decade researchers focused mainly on forward search, and backward search(More)
In this paper, we present samap, whose goal is to build a software tool to help different people visit different cities. This tool integrates modules that dynamically capture user models, determine lists of activities that can provide more utility to a user given the past experience of the system with similar users, and generates plans that can be executed(More)
Candida antarctica lipase B (CAL-B) catalyzes the regioselective acylation of natural thymidine with oxime esters and also the regioselective acylation of an analogue, 3',5'-diamino-3',5'-dideoxythymidine with nonactivated esters. In both cases, acylation favors the less hindered 5'-position over the 3'-position by upto 80-fold. Computer modeling of(More)
The first direct synthesis of 4-O-cinnamoyl derivatives of quinic and shikimic acids were accomplished by regioselective esterification with Candida antarctica lipase A. For hydrocinnamic esters, enzymatic transesterification with vinyl esters gave excellent yields. However, more reactive acylating agents such as anhydrides were used to synthesize cinnamic(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)
Machine learning (ML) is often used to obtain control knowledge to improve planning efficiency. Usually, ML techniques are used in isolation from experience that could be obtained by other means. The aim of this paper is to determine experimentally the influence of using such previous experience or prior knowledge (PK), so that the learning process is(More)
The application of AI planning techniques to manufacturing systems is being widely deployed for all the tasks involved in the process, from product design to production planning and control. One of these problems is the automatic generation of control sequences for the entire manufacturing system in such a way that final plans can be directly used as the(More)
In a general setting, oversubscription in planning can be posed as: given a set of goals, each one with a utility, obtain a plan that achieves some (or all) the goals, maximizing the utility, as well as minimizing the cost of achieving those goals. In this paper, we present an application domain, automatic generation of e-learning courses design, that shows(More)
This paper attempts to define an emotional model for virtual agents that behave autonomously in social worlds. We adopt shallow modeling based on the decomposition of the emotional state in two qualities: valence (pleasantness or hedonic value) and arousal (bodily activation) and, also, for the agent personality based on the five factors model (openness,(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)