Swarm intelligence in animal groups: when can a collective out-perform an expert?
Swarm intelligence in animal groups: when can a collective out-perform an expert?
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DOI:
10.1371/journal.pone.0015505
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发表时间:
2010-11-24
期刊:
影响因子:
3.7
通讯作者:
King AJ
中科院分区:
文献类型:
--
作者:
Katsikopoulos KV;King AJ
An important potential advantage of group-living that has been mostly neglected by life scientists is that individuals in animal groups may cope more effectively with unfamiliar situations. Social interaction can provide a solution to a cognitive problem that is not available to single individuals via two potential mechanisms: (i) individuals can aggregate information, thus augmenting their ‘collective cognition’, or (ii) interaction with conspecifics can allow individuals to follow specific ‘leaders’, those experts with information particularly relevant to the decision at hand. However, a-priori, theory-based expectations about which of these decision rules should be preferred are lacking. Using a set of simple models, we present theoretical conditions (involving group size, and diversity of individual information) under which groups should aggregate information, or follow an expert, when faced with a binary choice. We found that, in single-shot decisions, experts are almost always more accurate than the collective across a range of conditions. However, for repeated decisions – where individuals are able to consider the success of previous decision outcomes – the collective's aggregated information is almost always superior. The results improve our understanding of how social animals may process information and make decisions when accuracy is a key component of individual fitness, and provide a solid theoretical framework for future experimental tests where group size, diversity of individual information, and the repeatability of decisions can be measured and manipulated.
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影响因子:
3.3
作者:
King AJ;Cowlishaw G
通讯作者:
Cowlishaw G
DOI:
10.1098/rstb.2008.0233
发表时间:
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通讯作者:
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