Why do house-hunting ants recruit in both directions?
نویسندگان
چکیده
منابع مشابه
Improving Decision Speed, Accuracy and Group Cohesion through Early Information Gathering in House-Hunting Ants
BACKGROUND Successful collective decision-making depends on groups of animals being able to make accurate choices while maintaining group cohesion. However, increasing accuracy and/or cohesion usually decreases decision speed and vice-versa. Such trade-offs are widespread in animal decision-making and result in various decision-making strategies that emphasize either speed or accuracy, dependin...
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This paper proposes ant-inspired strategies for self-organized and decentralized collective decision-making in computing systems which employ reconfigurable units. The particular principles used for the design of these strategies are inspired by the house-hunting of the ant Temnothorax albipennis. The considered computing system consists of two types of units: so-called worker units that are ab...
متن کاملThe influence of the few: a stable ‘oligarchy’ controls information flow in house-hunting ants
Animals that live together in groups often face difficult choices, such as which food resource to exploit, or which direction to flee in response to a predator. When there are costs associated with deadlock or group fragmentation, it is essential that the group achieves a consensus decision. Here, we study consensus formation in emigrating ant colonies faced with a binary choice between two ide...
متن کاملConditional Use of Social and Private Information Guides House-Hunting Ants
Social animals can use both social and private information to guide decision making. While social information can be relatively economical to acquire, it can lead to maladaptive information cascades if attention to environmental cues is supplanted by unconditional copying. Ants frequently employ pheromone trails, a form of social information, to guide collective processes, and this can include ...
متن کاملHouse-Hunting Without Second Moments
In the house-hunting problem, i.i.d. random variables, X1,X2, . . . are observed sequentially at a cost of c > 0 per observation. The problem is to choose a stopping rule, N , to maximize E(XN − Nc). If the X’s have a finite second moment, the optimal stopping rule is N∗ = min{n ≥ 1 : Xn > V ∗}, where V ∗ satisfies E(X − V ∗)+ = c. The statement of the problem and its solution requires only the...
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ژورنال
عنوان ژورنال: Naturwissenschaften
سال: 2007
ISSN: 0028-1042,1432-1904
DOI: 10.1007/s00114-007-0273-8