A Self-Organising Model of Thermoregulatory Huddling.
Endotherms such as rats and mice huddle together to keep warm. The huddle is considered to be an example of a self-organising system, because complex properties of the collective group behaviour are thought to emerge spontaneously through simple interactions between individuals. Groups of rodent pups display two such emergent properties. First, huddling undergoes a 'phase transition', such that pups start to aggregate rapidly as the temperature of the environment falls below a critical temperature. Second, the huddle maintains a constant 'pup flow', where cooler pups at the periphery continually displace warmer pups at the centre. We set out to test whether these complex group behaviours can emerge spontaneously from local interactions between individuals. We designed a model using a minimal set of assumptions about how individual pups interact, by simply turning towards heat sources, and show in computer simulations that the model reproduces the first emergent property--the phase transition. However, this minimal model tends to produce an unnatural behaviour where several smaller aggregates emerge rather than one large huddle. We found that an extension of the minimal model to include heat exchange between pups allows the group to maintain one large huddle but eradicates the phase transition, whereas inclusion of an additional homeostatic term recovers the phase transition for large huddles. As an unanticipated consequence, the extended model also naturally gave rise to the second observed emergent property--a continuous pup flow. The model therefore serves as a minimal description of huddling as a self-organising system, and as an existence proof that group-level huddling dynamics emerge spontaneously through simple interactions between individuals. We derive a specific testable prediction: Increasing the capacity of the individual to generate or conserve heat will increase the range of ambient temperatures over which adaptive thermoregulatory huddling will emerge.
Sheffield Robotics, The University of Sheffield, Sheffield, United Kingdom; Department of Psychology, The University of Sheffield, Sheffield, United Kingdom.
Jonathan
J
Glancy
Sheffield Robotics, The University of Sheffield, Sheffield, United Kingdom; Department of Automatic Control and Systems Engineering, The University of Sheffield, Sheffield, United Kingdom.
Roderich
R
Groß
Sheffield Robotics, The University of Sheffield, Sheffield, United Kingdom; Department of Psychology, The University of Sheffield, Sheffield, United Kingdom.
James V
JV
Stone
Sheffield Robotics, The University of Sheffield, Sheffield, United Kingdom; Department of Psychology, The University of Sheffield, Sheffield, United Kingdom.
Stuart P
SP
Wilson
D000465:Algorithms; D000818:Animals; D001522:Behavior, Animal / Q000502:physiology*; D001833:Body Temperature Regulation / Q000502:physiology*; D019295:Computational Biology; D051379:Mice; D008954:Models, Biological; D051381:Rats; D013816:Thermodynamics