Modeling embedded interpersonal and multiagent coordination

Michael J. Richardson, Rachel W. Kallen, Patrick Nalepka, Steven J. Harrison, Maurice Lamb, Anthony Chemero, Elliot Saltzman, R. C. Schmidt

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

7 Citations (Scopus)


Interpersonal or multiagent coordination is a common part of everyday human activity. Identifying the dynamic processes that shape and constrain the complex, time-evolving patterns of multiagent behavioral coordination often requires the development of dynamical models to test hypotheses and motivate future research questions. Here we review a task dynamic framework for modeling multiagent behavior and illustrate the application of this framework using two examples. With an emphasis on synergistic self-organization, we demonstrate how the behavioral coordination that characterizes many social activities emerges naturally from the physical, informational, and biomechanical constraints and couplings that exist between two or more environmentally embedded and mutually responsive individuals.

Original languageEnglish
Title of host publicationCOMPLEXIS 2016
Subtitle of host publicationProceedings of the 1st International Conference on Complex Information Systems
EditorsVíctor Méndez Muñoz, Oleg Gusikhin, Victor Chang
Place of PublicationPortugal
Number of pages10
ISBN (Electronic)9789897581816
Publication statusPublished - 2016
Externally publishedYes
EventInternational Conference on Complex Information Systems (1st : 2016) - Rome, Italy
Duration: 22 Apr 201624 Apr 2016


ConferenceInternational Conference on Complex Information Systems (1st : 2016)
Abbreviated titleCOMPLEXIS 2016


  • multiagent systems
  • social coordination
  • task dynamics
  • complex systems
  • self-organization

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