Abstract
Cognitive architectures are integrative frameworks that include a series of components that interoperate to generate a variety of behaviors in autonomous agents. Commonly, such components attempt to synthesize the operations and architecture of brain functions, such as perception and emotions. To carry out this, they embody computational models whose development is based on theories explaining cognitive and affective functions as well as on principles and standards established for the development of software systems. Unfortunately, such theories and software principles are not always available or entirely adequate. In this paper, we analyze and discuss fundamental issues associated to the development of these type of architectural components. We focus on the problems that arise throughout their development cycle and identify some improvements for the tools used in their construction.
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Rodríguez, LF., Ramos, F., García, G. (2011). Computational Modeling of Brain Processes for Agent Architectures: Issues and Implications. In: Hu, B., Liu, J., Chen, L., Zhong, N. (eds) Brain Informatics. BI 2011. Lecture Notes in Computer Science(), vol 6889. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23605-1_21
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DOI: https://doi.org/10.1007/978-3-642-23605-1_21
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