How to engineer biologically inspired cognitive architectures

Antonio Chella, Valeria Seidita, Massimo Cossentino, Massimo Cossentino

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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.
Lingua originaleEnglish
Titolo della pubblicazione ospiteAdvances in Intelligent Systems and Computing
Pagine297-298
Numero di pagine2
Stato di pubblicazionePublished - 2013

All Science Journal Classification (ASJC) codes

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  • ???subjectarea.asjc.1700.1700???

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