Abstract
We report on experiences in the development of hybrid autonomous systems where high-level decisions are made by a rational agent. This rational agent interacts with other sub-systems via an abstraction engine. We describe three systems we have developed using the EASS BDI agent programming language and framework which supports this architecture. As a result of these experiences we recommend changes to the theoretical operational semantics that underpins the EASS framework and present a fourth implementation using the new semantics.
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CITATION STYLE
Dennis, L. A., Aitken, J. M., Collenette, J., Cucco, E., Kamali, M., McAree, O., … Fisher, M. (2016). Agent-based autonomous systems and abstraction engines: Theory meets practice. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9716, pp. 75–86). Springer Verlag. https://doi.org/10.1007/978-3-319-40379-3_8
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