Elements of cognition for general intelligence

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review


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.
Original languageEnglish
Title of host publicationArtificial General Intelligence
Subtitle of host publication16th International Conference, AGI 2023, Stockholm, Sweden, June 16–19, 2023, Proceedings
EditorsPatrick Hammer, Marjan Alirezaie , Claes Strannegård
Place of PublicationCham
Number of pages10
ISBN (Electronic)978-3-031-33469-6
ISBN (Print)978-3-031-33468-9
Publication statusPublished - 2023

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349
NameLecture Notes in Artificial Intelligence
ISSN (Print)2945-9141
ISSN (Electronic)2945-9133

Subject classification (UKÄ)

  • Computer Science
  • Other Computer and Information Science
  • Interaction Technologies
  • Information Systems, Social aspects


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