Abstract
The BICA 2012 conference main purpose is to take a significant step forward towards the BICA Challenge -creating a real-life computational equivalent of the human mind. This challenge apparently calls for a global, multidisciplinary joint effort to develop biologically-inspired dependable agents that perform well enough as to to be fully accepted as autonomous agents by the human society. We say “apparently” because we think that “biologically-inspired” needs to be re-thought due to the mismatch between natural and artificial agent organization and their construction methods: the natural and artificial construction processes. Due to this constructive mismatch and the complexity of the operational requirements of world-deployable machines, the question of dependability becomes a guiding light in the search of the proper architectures of cognitive agents. Models of perception, cognition and action that render self-aware machines will become a critical asset that marks a concrete roadmap to the BICA challenge.
In this talk we will address a proposal concerning a methodology for extracting universal, domain neutral, architectural design patterns from the analysis of biological cognition. This will render a set of design principles and design patterns oriented towards the construction of better machines. Bio-inspiration cannot be a one step process if we we are going to to build robust, dependable autonomous agents; we must build solid theories first, departing from natural systems, and supporting our designs of artificial ones.
Chapter PDF
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Sanz, R., Hernández, C. (2013). Towards Architectural Foundations for Cognitive Self-aware Systems. In: Chella, A., Pirrone, R., Sorbello, R., Jóhannsdóttir, K. (eds) Biologically Inspired Cognitive Architectures 2012. Advances in Intelligent Systems and Computing, vol 196. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34274-5_13
Download citation
DOI: https://doi.org/10.1007/978-3-642-34274-5_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34273-8
Online ISBN: 978-3-642-34274-5
eBook Packages: EngineeringEngineering (R0)