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Determining interaction rules in animal swarms

A. Eriksson ; Martin Nilsson Jacobi ; J. Nystrom ; Kolbjörn Tunström (Institutionen för energi och miljö, Fysisk resursteori)
Behavioral Ecology (1045-2249). Vol. 21 (2010), 5, p. 1106-1111.
[Artikel, refereegranskad vetenskaplig]

In this paper, we introduce a method for determining local interaction rules in animal swarms. The method is based on the assumption that the behavior of individuals in a swarm can be treated as a set of mechanistic rules. The principal idea behind the technique is to vary parameters that define a set of hypothetical interactions, as for example, a rule for aligning with neighbors. The parameter values are optimized so that the deviation between the observed movements in an animal swarm and the movements predicted by the assumed rule set is minimal. We demonstrate the method by reconstructing the interaction rules from the trajectories produced by a computer simulation.

Nyckelord: behavioral rules, force matching, reverse engineering, swarming, collective behavior, selfish herd, fish, movement, memory, flocks, tools, model

Denna post skapades 2010-08-30. Senast ändrad 2016-11-07.
CPL Pubid: 125365


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Institutioner (Chalmers)

Institutionen för energi och miljö, Fysisk resursteori (2005-2017)


Biologiska vetenskaper

Chalmers infrastruktur