The computational paradigm in Cognitive Science, which the AGI approach revives, provides a powerful methodology of examining human information processing by testing assumptions in computer simulations, and enables technical applications with human-like capabilities. Nevertheless, intensive interdisciplinary collaboration and the development of a holistic and integrated model remain ongoing challenges. This includes the consideration of the basis of rational cognition, in particular the significance of unconscious and affective processes in the human mind. We take these issues into consideration and integrate them into a holistic and integrated functional model of the human mind, implemented as an agent's decision unit and evaluated in an Artificial Life simulation using an interdisciplinary methodology. © 2014 Springer International Publishing.
CITATION STYLE
Schaat, S., Wendt, A., Jakubec, M., Gelbard, F., Herret, L., & Dietrich, D. (2014). ARS: An AGI agent architecture. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8598 LNAI, pp. 155–164). Springer Verlag. https://doi.org/10.1007/978-3-319-09274-4_15
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