Formal goal generation for intelligent control systems

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Abstract

In the engineering context of control or measurement systems, there is a growing need to incorporate more and more intelligence towards sensing/actuating components. These components achieve some global service related with an intended goal through a set of elementary services intended to achieve atomic goals. There are many possible choices and non-trivial relations between services. As a consequence, both novices and specialists need assistance to prune the search space of possible services and their relations. To provide a sound knowledge representation for functional reasoning, we propose a method eliciting a goal hierarchy in Intelligent Control Systems. To refine the concept of goal with sub-concepts, we investigate a formalization which relies on a multi-level structure. The method is centered both on a mereological approach to express both physical environment and goal concepts, and on Formal Concept Analysis (FCA) to model concept aggregation/decomposition. The interplay between mereology and FCA is discussed. © Springer-Verlag Berlin Heidelberg 2005.

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APA

Dapoigny, R., Barlatier, P., Foulloy, L., & Benoit, E. (2005). Formal goal generation for intelligent control systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3533 LNAI, pp. 712–721). Springer Verlag. https://doi.org/10.1007/11504894_99

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