Biologically inspired cognitive architectures are complex systems where different modules of cognition interact in order to reach the global goals of the system in a changing environment. Engineering and modeling this kind of systems is a hard task due to the lack of techniques for developing and implementing features like learning, knowledge, experience, memory, adaptivity in an inter-modular fashion. We propose a new concept of intelligent agent as abstraction for developing biologically cognitive architectures. © 2013 Springer-Verlag.

Seidita, V., Cossentino, M., Chella, A. (2013). How to engineer biologically inspired cognitive architectures. In Advances in Intelligent Systems and Computing (pp. 297-298). Springer Verlag [10.1007/978-3-642-34274-5_51].

How to engineer biologically inspired cognitive architectures

SEIDITA, Valeria;COSSENTINO, Massimo;CHELLA, Antonio
2013-01-01

Abstract

Biologically inspired cognitive architectures are complex systems where different modules of cognition interact in order to reach the global goals of the system in a changing environment. Engineering and modeling this kind of systems is a hard task due to the lack of techniques for developing and implementing features like learning, knowledge, experience, memory, adaptivity in an inter-modular fashion. We propose a new concept of intelligent agent as abstraction for developing biologically cognitive architectures. © 2013 Springer-Verlag.
2013
Seidita, V., Cossentino, M., Chella, A. (2013). How to engineer biologically inspired cognitive architectures. In Advances in Intelligent Systems and Computing (pp. 297-298). Springer Verlag [10.1007/978-3-642-34274-5_51].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/223173
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