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Trends Cogn Sci. 2017 Sep;21(9):649-665. doi: 10.1016/j.tics.2017.05.012. Epub 2017 Jun 24.

Mind Games: Game Engines as an Architecture for Intuitive Physics.

Author information

1
Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Psychology, Harvard University, Cambridge, MA 02138, USA.
2
Department of Psychology, Harvard University, Cambridge, MA 02138, USA.
3
DeepMind Technologies, London EC4A 3TW, UK.
4
Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. Electronic address: jbt@mit.edu.

Abstract

We explore the hypothesis that many intuitive physical inferences are based on a mental physics engine that is analogous in many ways to the machine physics engines used in building interactive video games. We describe the key features of game physics engines and their parallels in human mental representation, focusing especially on the intuitive physics of young infants where the hypothesis helps to unify many classic and otherwise puzzling phenomena, and may provide the basis for a computational account of how the physical knowledge of infants develops. This hypothesis also explains several 'physics illusions', and helps to inform the development of artificial intelligence (AI) systems with more human-like common sense.

PMID:
28655498
DOI:
10.1016/j.tics.2017.05.012
[Indexed for MEDLINE]

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