Authors:
Michael J. Richardson
1
;
Rachel W. Kallen
1
;
Patrick Nalepka
1
;
Steven J. Harrison
2
;
Maurice Lamb
1
;
Anthony Chemero
1
;
Elliot Saltzman
3
and
R. C. Schmidt
4
Affiliations:
1
University of Cincinnati, United States
;
2
University of Nebraska Omaha, United States
;
3
Boston University, United States
;
4
College of the Holy Cross, United States
Keyword(s):
Multiagent Systems, Social Coordination, Task Dynamics, Complex Systems, Self-organization.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Distributed and Mobile Software Systems
;
Enterprise Information Systems
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Multi-Agent Systems
;
Software Engineering
;
Symbolic Systems
Abstract:
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.