2020/03/31 by Patrick Krauß, Patrick Krauss, Andreas Maier
Computer Science · Neuroscience · Psychology · #Artificial intelligence #Cognitive science #Computer science #Consciousness #Core (optical fiber) #EEG and Brain-Computer Interfaces #Embodied and Extended Cognition #Epistemology #Mechanism (biology) #Neural dynamics and brain function #Perspective (graphical) #Philosophy #Psychology #State (computer science) #cs.AI #cs.LG
paper · pdf · doi:10.3389/fncom.2020.556544
published as Front. Comput. Neurosci., 22, Dec 2020
arxiv created 2020/03/31 · openalex publication_date 2020/12/22 · arxiv updated 2020/12/29 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
The question of whether artificial beings or machines could become self-aware or conscious has been a philosophical question for centuries. The main problem is that self-awareness cannot be observed from an outside perspective and the distinction of being really self-aware or merely a clever imitation cannot be answered without access to knowledge about the mechanism's inner workings. We investigate common machine learning approaches with respect to their potential ability to become self-aware. We realize that many important algorithmic steps toward machines with a core consciousness have already been taken.