Elements of cognition for general intelligence

Balkenius, Christian; Johansson, Birger; Tjøstheim, Trond A. (2023). Elements of cognition for general intelligence. Hammer, Patrick; Alirezaie, Marjan; Strannegård, Claes (Eds.). Artificial General Intelligence : 16th International Conference, AGI 2023, Stockholm, Sweden, June 16–19, 2023, Proceedings, 13921,, 11 - 20: Springer
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Conference Proceeding/Paper | Published | English
Authors:
Balkenius, Christian ; Johansson, Birger ; Tjøstheim, Trond A.
Editors:
Hammer, Patrick ; Alirezaie, Marjan ; Strannegård, Claes
Department:
Cognitive Science
eSSENCE: The e-Science Collaboration
Cognitive modeling
LU Profile Area: Natural and Artificial Cognition
Research Group:
Cognitive modeling
Abstract:
What can artificial intelligence learn from the cognitive sciences? We review some fundamental aspects of how human cognition works and relate it to different brain structures and their function. A central theme is that cognition is very different from how it is envisioned in classical artificial intelligence which offers a novel path toward intelligent systems that in many ways is both simpler and more attainable. We also argue that artificial intelligent systems takes more than a single silver bullet. It requires a large number of interacting subsystem that are coupled to both the body and to the environment. We argue for an approach to artificial general intelligence based on a faithful reproduction of known brain processes in a system-level model that incorporates a large number of components modelled after the human brain.
Keywords:
Computer Science ; Other Computer and Information Science ; Interaction Technologies ; Information Systems, Social aspects
ISBN:
978-3-031-33469-6
ISSN:
0302-9743
LUP-ID:
5a9232ba-44e7-4a8d-8a1d-936aca60d650 | Link: https://lup.lub.lu.se/record/5a9232ba-44e7-4a8d-8a1d-936aca60d650 | Statistics

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