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SLAVE (Structural Learning Algorithm in Vague Environment) is an inductive learning algorithm that uses concepts based on fuzzy logic theory. This theory has shown be an useful representation tool for improving the understanding under a human point of view, of the knowledge obtained. Furthermore, SLAVE uses an iterative approach for learning with genetic(More)
Learning algorithms can obtain very useful descriptions of several problems. Many diierent alternative descriptions can be generated. In many cases, a simple description is preferable since it has a higher possibility of being valid in unseen cases and also it is usually easier to understand by a human expert. Thus, the main idea of this paper is to propose(More)
The application of arti® cial intelligence planning techniques to real world problems is a very di cult task which usually implies overcoming expressiveness and e ciency handicaps. Expressiveness in order to cope with the great amount of knowledge involved in these problems and also to obtain results directly, or almost directly, applicable in the ® eld of(More)
In behavior-based robots, planning is necessary to elaborate abstract plans that resolve complex navigational tasks. Usually maps of the environment are used to plan the robot motion and to resolve the navigational tasks. Two types of maps have been mainly used: metric and topological maps. Both types present advantages and weakness so that several(More)
Genetic algorithms offer a powerful search method for a variety of learning tasks, and there are different approaches in which they have been applied to learning processes. Structural learning algorithm on vague environment (SLAVE) is a genetic learning algorithm that uses the iterative approach to learn fuzzy rules. SLAVE can select the relevant features(More)
The implementation of complex behavior generation for arti®cial systems can be overcome by decomposing the global tasks into simpler, well-speci®ed behaviors which are easier to design and can be tuned independently of each other. Robot behavior can be implemented as a set of fuzzy rules which mimic expert knowledge in speci®c tasks in order to model expert(More)
SIADEX is a complex framework that integrates several AI techniques able to design fighting plans against forest fires. It is based on four main components, a web server, that centralizes all the flow of information between the system and the user, the ontol-ogy server, that is the cornerstone of the architecture as the basis for knowledge sharing and(More)
New generation manufacturing systems are involved in a transformation process which aims for more reliable production processes and with a lower response time to the demand of the market. This work presents an application of artiicial intelligence planning techniques for the automatic generation of the control program for a manufacturing system expressed as(More)
In recent years, some authors have approached the instance selection problem from a meta-learning perspective. In their work, they try to find relationships between the performance of some methods from this field and the values of some data-complexity measures, with the aim of determining the best performing method given a data set, using only the values of(More)