
Task dynamics define the contextual emergence of human corralling behaviors
Author(s) -
Patrick Nalepka,
Paula L. Silva,
Rachel W. Kallen,
Kevin Shockley,
Anthony Chemero,
Elliot Saltzman,
Michael J. Richardson
Publication year - 2021
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0260046
Subject(s) - task (project management) , set (abstract data type) , herding , perception , function (biology) , cognitive psychology , cognition , computer science , dynamics (music) , cognitive science , psychology , biology , neuroscience , evolutionary biology , pedagogy , management , forestry , economics , programming language , geography
Social animals have the remarkable ability to organize into collectives to achieve goals unobtainable to individual members. Equally striking is the observation that despite differences in perceptual-motor capabilities, different animals often exhibit qualitatively similar collective states of organization and coordination. Such qualitative similarities can be seen in corralling behaviors involving the encirclement of prey that are observed, for example, during collaborative hunting amongst several apex predator species living in disparate environments. Similar encirclement behaviors are also displayed by human participants in a collaborative problem-solving task involving the herding and containment of evasive artificial agents. Inspired by the functional similarities in this behavior across humans and non-human systems, this paper investigated whether the containment strategies displayed by humans emerge as a function of the task’s underlying dynamics, which shape patterns of goal-directed corralling more generally. This hypothesis was tested by comparing the strategies naïve human dyads adopt during the containment of a set of evasive artificial agents across two disparate task contexts. Despite the different movement types (manual manipulation or locomotion) required in the different task contexts, the behaviors that humans display can be predicted as emergent properties of the same underlying task-dynamic model.