Herd Those Sheep: Emergent Multiagent Coordination and Behavioral-Mode Switching
Open accessAbstract
Effectively coordinating one’s behaviors with those of others is essential for successful multiagent activity. In recent years, increased attention has been given to understanding the dynamical principles that underlie such coordination because of a growing interest in behavioral synchrony and complex-systems phenomena. Here, we examined the behavioral dynamics of a novel, multiagent shepherding task, in which pairs of individuals had to corral small herds of virtual sheep in the center of a virtual game field. Initially, all pairs adopted a complementary, search-and-recover mode of behavioral coordination, in which both members corralled sheep predominantly on their own sides of the field. Over the course of game play, however, a significant number of pairs spontaneously discovered a more effective mode of behavior: coupled oscillatory containment, in which both members synchronously oscillated around the sheep. Analysis and modeling revealed that both modes were defined by the task’s underlying dynamics and, moreover, reflected context-specific realizations of the lawful dynamics that define functional shepherding behavior more generally.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Individuals in social settings that involve cooperation quickly and automatically converge to synchrony.
“Behaviorally, individuals in social settings that involve cooperation have been shown to quickly and automatically converge to synchrony – as was the case in a “sheep herding” game in which dyads distinctly shifted from asynchrony to synchrony, which allowed for successful completion of the game68.”
From Physiological and Behavioral Synchrony Predict Group Cohesion and Performance (2020) · cites this paper as [68]
The paper’s background discussion describes spontaneous synchronization in some interpersonal rhythmic interactions, and its Results report in-phase coordination in some cooperative shepherding trials. But the Results also show that many pairs used a different strategy, while the synchronized strategy often emerged after multiple trials. The paper does not establish that people in cooperative social settings generally converge to synchrony quickly and automatically. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
PIKOVSKY, A. S., Rosenblum, M., & Kurths, J. (2001) · Cambridge University Press eBooks · doi:10.1017/cbo9780511755743 · Cited by 8,250 · see citing works
A theoretical model of phase transitions in human hand movements.
Haken, H., Kelso, J. A. S., & Bunz, H. (1985) · Biological Cybernetics · doi:10.1007/bf00336922 · Cited by 2,328 · see citing works
Micromotives and Macrobehavior.
Connolly, T., & Schelling, T. C. (1979) · Administrative Science Quarterly · doi:10.2307/2989930 · Cited by 2,059 · see citing works
The Complexity of Cooperation: Agent-Based Models of Competition and Collaboration
Axelrod, R. (1997) · doi:10.1515/9781400822300 · Cited by 1,759 · see citing works
Sumpter, D. J. T. (2010) · doi:10.1515/9781400837106 · Cited by 914 · see citing works
The dynamics of perception and action.
Warren, W. H. (2006) · Psychological Review · doi:10.1037/0033-295x.113.2.358 · Cited by 866 · see citing works
Generative Social Science: Studies in Agent-Based Computational Modeling
Epstein, J. (2007) · Journal of Ecological Anthropology · doi:10.5038/2162-4593.11.1.8 · Cited by 858 · see citing works
Schmidt, R. C., Carello, C., & Turvey, M. T. (1990) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037//0096-1523.16.2.227 · Cited by 839 · see citing works
Skilled actions: A task-dynamic approach.
Saltzman, E. L., & Kelso, J. A. S. (1987) · Psychological Review · doi:10.1037/0033-295x.94.1.84 · Cited by 779 · see citing works
Self-citationComplex Adaptive Systems: An Introduction to Computational Models of Social Life
Shlesinger, M. F. (2007) · Journal of Statistical Physics · doi:10.1007/s10955-007-9384-z · Cited by 633 · see citing works
Schmidt, R. C., Carello, C., & Turvey, M. T. (1990) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/0096-1523.16.2.227 · Cited by 578 · see citing works
Prediction in Joint Action: What, When, and Where
Sebanz, N., & Knoblich, G. (2009) · Topics in Cognitive Science · doi:10.1111/j.1756-8765.2009.01024.x · Cited by 571 · see citing works
Psychological Research on Joint Action
Knoblich, G., Butterfill, S., & Sebanz, N. (2011) · The Psychology of learning and motivation/The psychology of learning and motivation · doi:10.1016/b978-0-12-385527-5.00003-6 · Cited by 546 · see citing works
Coupled nonlinear oscillators and the symmetries of animal gaits
Collins, J. J., & Stewart, I. N. (1993) · Journal of Nonlinear Science · doi:10.1007/bf02429870 · Cited by 502 · see citing works
Sport competition as a dynamical self-organizing system
McGarry, T., Anderson, D. I., Wallace, S. A., Hughes, M. D., & Franks, I. M. (2002) · Journal of Sports Sciences · doi:10.1080/026404102320675620 · Cited by 460 · see citing works
Dynamics of Interpersonal Coordination
Schmidt, R. C., & Richardson, M. J. (2007) · Understanding Complex Systems · doi:10.1007/978-3-540-74479-5_14 · Cited by 415 · see citing works
Self-citationAgent-Based Modeling: A New Approach for Theory Building in Social Psychology
Smith, E. R., & Conrey, F. R. (2007) · Personality and Social Psychology Review · doi:10.1177/1088868306294789 · Cited by 401 · see citing works
A minimal architecture for joint action
Vesper, C., Butterfill, S., Knoblich, G., & Sebanz, N. (2010) · Neural Networks · doi:10.1016/j.neunet.2010.06.002 · Cited by 398 · see citing works
Evaluating the Dynamics of Unintended Interpersonal Coordination
Schmidt, R. C., & O'BRIEN, B. A. (1997) · Ecological Psychology · doi:10.1207/s15326969eco0903_2 · Cited by 347 · see citing works
Riley, M. A., Richardson, M. J., Shockley, K. D., & Ramenzoni, V. C. (2011) · Frontiers in Psychology · doi:10.3389/fpsyg.2011.00038 · Cited by 306 · see citing works
Self-citationModelling the evolution of human trail systems
Helbing, D., Keltsch, J., & Molnár, P. (1997) · Nature · doi:10.1038/40353 · Cited by 302 · see citing works
Modelling the evolution of human trail systems
Helbing, D., Keltsch, J., & Molnár, P. (n.d.) · RePEc: Research Papers in Economics · Cited by 283 · see citing works
Judging and actualizing intrapersonal and interpersonal affordances.
Richardson, M. J., Marsh, K. L., & Baron, R. M. (2007) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/0096-1523.33.4.845 · Cited by 250 · see citing works
Self-citationSolving the shepherding problem: heuristics for herding autonomous, interacting agents
Strömbom, D., Mann, R. P., Wilson, A. M., Hailes, S. M. V., Morton, A. J., Sumpter, D. J. T., & King, A. J. (2014) · Journal of The Royal Society Interface · doi:10.1098/rsif.2014.0719 · Cited by 214 · see citing works
Understanding social motor coordination
Schmidt, R. C., Fitzpatrick, P., Caron, R. R., & Mergeche, J. L. (2010) · Human Movement Science · doi:10.1016/j.humov.2010.05.014 · Cited by 196 · see citing works
A Demonstration of the Transition from Ready-to-Hand to Unready-to-Hand
Dotov, D. G., Nie, L., & Chemero, A. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009433 · Cited by 135 · see citing works
Self-citationGoldstone, R. L., & Gureckis, T. M. (2009) · Topics in Cognitive Science · doi:10.1111/j.1756-8765.2009.01038.x · Cited by 126 · see citing works
Richardson, M. J., Harrison, S. J., Kallen, R. W., Walton, A. E., Eiler, B. A., Saltzman, E. L., & Schmidt, R. C. (2015) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/xhp0000041 · Cited by 80 · see citing works
Self-citationRhythm Patterns Interaction - Synchronization Behavior for Human-Robot Joint Action
Mörtl, A., Lorenz, T., & Hirche, S. (2014) · PLoS ONE · doi:10.1371/journal.pone.0095195 · Cited by 65 · see citing works
Contextuality from Quantum Physics to Psychology
Dzhafarov, E. N., Scott, J., Zhang, R., et al. (2015) · Advanced series on mathematical psychology · doi:10.1142/9855 · Cited by 59 · see citing works
Three People Can Synchronize as Coupled Oscillators during Sports Activities
Yokoyama, K., & Yamamoto, Y. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002181 · Cited by 56 · see citing works
Self‐organized trail systems in groups of humans
Goldstone, R. L., & Roberts, M. E. (2006) · Complexity · doi:10.1002/cplx.20135 · Cited by 53 · see citing works
A Critical Interpersonal Distance Switches between Two Coordination Modes in Kendo Matches
Okumura, M., Kijima, A., Kadota, K., Yokoyama, K., Suzuki, H., & Yamamoto, Y. (2012) · PLoS ONE · doi:10.1371/journal.pone.0051877 · Cited by 53 · see citing works
Recruitment of degrees of freedom stabilizes coordination.
Fink, P. W., Kelso, J. A. S., Jirsa, V., et al. (2000) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037//0096-1523.26.2.671 · Cited by 47 · see citing works
Varlet, M., & Richardson, M. J. (2015) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/a0038640 · Cited by 44 · see citing works
Self-citationAdaptive Group Coordination and Role Differentiation
Roberts, M. E., & Goldstone, R. L. (2011) · PLoS ONE · doi:10.1371/journal.pone.0022377 · Cited by 42 · see citing works
Recruitment of degrees of freedom stabilizes coordination.
Fink, P. W., Kelso, J. A. S., Jirsa, V., et al. (2000) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/0096-1523.26.2.671 · Cited by 40 · see citing works
A novel cognitive architecture for a human-like virtual player in the mirror game
Zhai, C., Alderisio, F., Tsaneva-Atanasova, K. T., et al. (2014) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/smc.2014.6974001 · Cited by 28 · see citing works
Flagged first, then by citations
Research works printed but not linked: 3
- Bennett B Trafankowski M 2012 A Comparative investigation of herding algorithms Proc. Symp. on Understanding and Modelling Collective Phenomena (UMoCoP) 33 38
- Kelso JAS 1995 Dynamic patterns Cambridge, MA MIT Press
- Sebanz N Knoblich G 2009 Prediction in Joint action: What, when, and where Topics in Cognitive Science 1 353 367 25164938
Cited by
Sorted by citations
The History and Philosophy of Ecological Psychology
Lobo, L., Heras-Escribano, M., & Travieso, D. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.02228 · Cited by 159 · see citing works
Physiological and Behavioral Synchrony Predict Group Cohesion and Performance
Gordon, I., Gilboa, A., Cohen, S., Milstein, N., Haimovich, N., Pinhasi, S., & Siegman, S. (2020) · Scientific Reports · doi:10.1038/s41598-020-65670-1 · Cited by 146 · see citing works
JSwarm: A Jingulu-Inspired Human-AI-Teaming Language for Context-Aware Swarm Guidance
Abbass, H. A., Petraki, E., & Hunjet, R. (2022) · Frontiers in Physics · doi:10.3389/fphy.2022.944064 · Cited by 6 · see citing works
- Authors
- Nalepka, P., Kallen, R. W., Chemero, A., Saltzman, E., & Richardson, M. J.
- Affiliations
- University of Cincinnati (US)
- Boston University (US)
- Corresponding author
- Richardson, Michael J.
- Venue
- Psychological Science
- Publisher
- SAGE Publications
- Published
- 2017-04-04
- Volume
- 28
- Issue
- 5
- Pages
- 630-650
- ISSN
- 0956-7976 (ISSN-L)
- 1467-9280
- PMC
- PMC5424702
- OpenAlex
- W2605353781
- Cited by
- 87
- References
- 38
- Citations by year
- 2026: 5 · 2025: 11 · 2024: 9 · 2023: 10 · 2022: 14 · 2021: 11 · 2020: 9 · 2019: 8 · 2018: 8 · 2017: 2
- FWCI
- 10.58
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Psychological Science (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- OSF Preprints (OSF Preprints) (submittedVersion)
- Funders
- National Institutes of Health (R01- GM105045)
- Topics
- Social Sciences › Psychology › Social Psychology › Action Observation and Synchronization
- Physical Sciences › Computer Science › Computer Networks and Communications › Distributed Control Multi-Agent Systems
- Life Sciences › Neuroscience › Cognitive Neuroscience › Embodied and Extended Cognition
- Keywords
- multi-agent coordination, behavioral synchrony, emergent coordination, task dynamics, functional behavior, complex systems
- MeSH terms
- Adolescent, Adult, Animals, Attention, Female, Humans, Interpersonal Relations, Male, Models, Psychological, Sheep, Social Behavior, Task Performance and Analysis, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review