Abstract
Autonomous intelligent agents paradigm has encouraged robotic researches to take another step forward in the design of control architectures replacing modules with agents. This paper presents a logical fusion between Bayesian theory and artificial intelligent agents, showing a new intelligent Bayesian agent architecture oriented towards Bayesian robotics. To define this architecture we will provide a common framework for developing intelligent agent applications using Bayesian theory. We will also review some of the most important Bayesian agent applications and we will compare them with our model. Finally, a simple robotic application will be provided as a proof of concept of the presented architecture.
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Aznar, F., Pujol, M., Rizo, R. (2008). BROA: A Bayesian Robotic Agents Architecture. In: Gelbukh, A., Morales, E.F. (eds) MICAI 2008: Advances in Artificial Intelligence. MICAI 2008. Lecture Notes in Computer Science(), vol 5317. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88636-5_83
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DOI: https://doi.org/10.1007/978-3-540-88636-5_83
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88635-8
Online ISBN: 978-3-540-88636-5
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