The ecology and evolution of collective behaior
Invited
Abstract
Ant colonies operate without central control, using feedback from simple olfactory interactions to regulate their activities. There are more than 14K species of ants in every habitat on Earth, using diverse stochastic algorithms, producing different feedback regimes, in different environments. These algorithms have evolved to fit the dynamics of particular environments, including energy flow, stability, and the threat of rupture. Harvester ants in the harsh but stable conditions of the desert, regulate foraging effort according to current food availability and humidity, using excitable dynamics based on the rate of contact inside the nest between returning and ourgoing foragers. The feedback system sets a default of inactivity unless conditions are favorable. For turtle ants in the tress of the tropical forest, high humidity makes activity easy but competition is high. Their trail networks are constrained to follow the network of vegetation. They use the rate of deposition of a volatile phermone to build and maintain a destributed routing network in heterogeneous enviornments, based on design preinciples that differ from the shortest paths commonly studied in ants and in network science. The feedback system sets a default of persistent activity unless coniditions are unfavorable. The diversity of ants provides opportunites and learn how collective behavior envolves to fit divere environmental dynamics.
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Presenters
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Deborah Gordon
Stanford Univ
Authors
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Deborah Gordon
Stanford Univ