Abstract
We present AKIRA, an agent-based hybrid architecture designed for cognitive modeling. We describe some of the underlying ideas motivating its development, such as the possibility of exploiting distributed representations and performing parallel, dynamic and context aware computation. We illustrate its main components and capabilities and compare it with some related cognitive architectures, such as DUAL and Copycat. We present also a sample simulation in the visual search domain, exploiting AKIRA's peculiarities for cognitive modeling. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Pezzulo, G., & Calvi, G. (2005). Dynamic computation and context effects in the hybrid architecture AKIRA. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3554 LNAI, pp. 368–381). Springer Verlag. https://doi.org/10.1007/11508373_28
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