Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2011 Sep 19:5:2.
doi: 10.3389/fnbot.2011.00002. eCollection 2011.

Temporal cognition: a key ingredient of intelligent systems

Affiliations

Temporal cognition: a key ingredient of intelligent systems

Michail Maniadakis et al. Front Neurorobot. .

Abstract

Experiencing the flow of time is an important capacity of biological systems that is involved in many ways in the daily activities of humans and animals. However, in the field of robotics, the key role of time in cognition is not adequately considered in contemporary research, with artificial agents focusing mainly on the spatial extent of sensory information, almost always neglecting its temporal dimension. This fact significantly obstructs the development of high-level robotic cognitive skills, as well as the autonomous and seamless operation of artificial agents in human environments. Taking inspiration from biological cognition, the present work puts forward time perception as a vital capacity of artificial intelligent systems and contemplates the research path for incorporating temporal cognition in the repertoire of robotic skills.

Keywords: brain-inspired cognition; robotic systems; sense of time; time perception; time processing.

PubMed Disclaimer

Similar articles

Cited by

  • Evolution of Brains and Computers: The Roads Not Taken.
    Solé R, Seoane LF. Solé R, et al. Entropy (Basel). 2022 May 9;24(5):665. doi: 10.3390/e24050665. Entropy (Basel). 2022. PMID: 35626550 Free PMC article.
  • Everyday robotic action: lessons from human action control.
    de Kleijn R, Kachergis G, Hommel B. de Kleijn R, et al. Front Neurorobot. 2014 Mar 17;8:13. doi: 10.3389/fnbot.2014.00013. eCollection 2014. Front Neurorobot. 2014. PMID: 24672474 Free PMC article. Review.
  • Episodes, events, and models.
    Khemlani SS, Harrison AM, Trafton JG. Khemlani SS, et al. Front Hum Neurosci. 2015 Oct 27;9:590. doi: 10.3389/fnhum.2015.00590. eCollection 2015. Front Hum Neurosci. 2015. PMID: 26578934 Free PMC article.
  • Time models and cognitive processes: a review.
    Maniadakis M, Trahanias P. Maniadakis M, et al. Front Neurorobot. 2014 Feb 27;8:7. doi: 10.3389/fnbot.2014.00007. eCollection 2014. Front Neurorobot. 2014. PMID: 24578690 Free PMC article. Review.
  • How long did it last? You would better ask a human.
    Lacquaniti F, Carrozzo M, d'Avella A, La Scaleia B, Moscatelli A, Zago M. Lacquaniti F, et al. Front Neurorobot. 2014 Jan 27;8:2. doi: 10.3389/fnbot.2014.00002. eCollection 2014. Front Neurorobot. 2014. PMID: 24478694 Free PMC article. Review.

References

    1. Allan L. G., Church R. M. (2002). Special issue honouring the career of professor John Gibbon. Learn. Motiv. 3310.1006/lmot.2001.1114 - DOI
    1. Arantes J. (2008). Comparison of scalar expectancy theory (SET) and the learning-to-time (LeT) model in a successive temporal bisection task. Behav. Process. 78, 269–27810.1016/j.beproc.2007.12.008 - DOI - PubMed
    1. Arterbery M. (1993). Development of spatiotemporal integration in infancy. Infant Behav. Dev. 16, 343–36310.1016/0163-6383(93)80040-F - DOI
    1. Atance C. M., Jackson L. K. (2009). The development and coherence of future-oriented behaviours during the preschool years. J. Exp. Child Psychol. 102, 379–39110.1016/j.jecp.2009.01.001 - DOI - PubMed
    1. Battelli L., Walsh V., Pascual-Leone A., Cavanagh P. (2008). The “when” pathway explored by lesion studies. Curr. Opin. Neurobiol. 18, 120–12610.1016/j.conb.2008.08.004 - DOI - PMC - PubMed

LinkOut - more resources