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.
|Titolo della pubblicazione ospite||Advances in Intelligent Systems and Computing|
|Numero di pagine||2|
|Stato di pubblicazione||Published - 2013|
All Science Journal Classification (ASJC) codes