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 originale | English |
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Titolo della pubblicazione ospite | Advances in Intelligent Systems and Computing |
Pagine | 297-298 |
Numero di pagine | 2 |
Stato di pubblicazione | Published - 2013 |
All Science Journal Classification (ASJC) codes
- ???subjectarea.asjc.2200.2207???
- ???subjectarea.asjc.1700.1700???