Anticipatory synchronization in artificial agents

Auriel Washburn, Rachel Kallen, Maurice Lamb, Stepp Nigel, Kevin D. Shockley, Michael J. Richardson

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

1 Citation (Scopus)


By integrating theories and methodologies from a diverse range of scientific disciplines (e.g., physics, neuroscience, cognitive science, psychology and robotics engineering) the present work is aimed at harnessing self-organized anticipatory synchronization in order to advance human-robotic interaction (HRI). This phenomenon is characterized by the emergence of anticipatory behavior by one system coupled to the chaotic behavior of another, following the introduction of short self-referential delays in the coordinating system. The current set of studies involved the creation of an artificial agent based on a time-delayed, low-dimensional dynamical model capable of behaving prospectively during an interaction with a human actor performing complex, unpredictable behaviors. By achieving characteristics similar to those observed during natural human interaction and coordination, the time-delayed modeling approached advocated here provides the potential for considerable future advancements in HRI.
Original languageEnglish
Title of host publicationCogSci 2017
Subtitle of host publicationProceedings of the 39th Annual Meeting of the Cognitive Science Society
Place of PublicationAustin, TX
PublisherCognitive Science Society
Number of pages6
ISBN (Electronic) 9780991196760
Publication statusPublished - 2017
Externally publishedYes
EventAnnual Meeting of the Cognitive Science Society (39th : 2017) - London, United Kingdom
Duration: 26 Jul 201729 Jul 2017


ConferenceAnnual Meeting of the Cognitive Science Society (39th : 2017)
Country/TerritoryUnited Kingdom


  • human-robotic interaction
  • artificial agents
  • dynamical modeling
  • virtual reality
  • anticipatory synchronization
  • interpersonal coordination
  • chaos


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