Literature DB >> 28057830

Individual versus collective cognition in social insects.

Ofer Feinerman1, Amos Korman2.   

Abstract

The concerted responses of eusocial insects to environmental stimuli are often referred to as collective cognition at the level of the colony. To achieve collective cognition, a group can draw on two different sources: individual cognition and the connectivity between individuals. Computation in neural networks, for example, is attributed more to sophisticated communication schemes than to the complexity of individual neurons. The case of social insects, however, can be expected to differ. This is because individual insects are cognitively capable units that are often able to process information that is directly relevant at the level of the colony. Furthermore, involved communication patterns seem difficult to implement in a group of insects as they lack a clear network structure. This review discusses links between the cognition of an individual insect and that of the colony. We provide examples for collective cognition whose sources span the full spectrum between amplification of individual insect cognition and emergent group-level processes.
© 2017. Published by The Company of Biologists Ltd.

Entities:  

Keywords:  Communication patterns; Emergence; Group-level processes; Insect colony

Mesh:

Year:  2017        PMID: 28057830      PMCID: PMC5226334          DOI: 10.1242/jeb.143891

Source DB:  PubMed          Journal:  J Exp Biol        ISSN: 0022-0949            Impact factor:   3.312


  76 in total

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5.  Honeybee dances communicate distances measured by optic flow.

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Journal:  Nature       Date:  2001-05-31       Impact factor: 49.962

6.  Desert ants achieve reliable recruitment across noisy interactions.

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7.  The mechanism of flight guidance in honeybee swarms: subtle guides or streaker bees?

Authors:  Kevin M Schultz; Kevin M Passino; Thomas D Seeley
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8.  Brood care in a 100-million-year-old scale insect.

Authors:  Bo Wang; Fangyuan Xia; Torsten Wappler; Ewa Simon; Haichun Zhang; Edmund A Jarzembowski; Jacek Szwedo
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9.  How collective comparisons emerge without individual comparisons of the options.

Authors:  Elva J H Robinson; Ofer Feinerman; Nigel R Franks
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10.  Ant trophallactic networks: simultaneous measurement of interaction patterns and food dissemination.

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  10 in total

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5.  Origins of Aminergic Regulation of Behavior in Complex Insect Social Systems.

Authors:  J Frances Kamhi; Sara Arganda; Corrie S Moreau; James F A Traniello
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6.  Regulation of harvester ant foraging as a closed-loop excitable system.

Authors:  Renato Pagliara; Deborah M Gordon; Naomi Ehrich Leonard
Journal:  PLoS Comput Biol       Date:  2018-12-04       Impact factor: 4.475

7.  Design principles of biologically fabricated avian nests.

Authors:  Hadass R Jessel; Sagi Chen; Shmuel Osovski; Sol Efroni; Daniel Rittel; Ido Bachelet
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8.  Division of labor in work shifts by leaf-cutting ants.

Authors:  Pedro B Constantino; Veronica S Valentinuzzi; André F Helene
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9.  Active Inferants: An Active Inference Framework for Ant Colony Behavior.

Authors:  Daniel Ari Friedman; Alec Tschantz; Maxwell J D Ramstead; Karl Friston; Axel Constant
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10.  The Role of Dopamine in the Collective Regulation of Foraging in Harvester Ants.

Authors:  Daniel A Friedman; Anna Pilko; Dorota Skowronska-Krawczyk; Karolina Krasinska; Jacqueline W Parker; Jay Hirsh; Deborah M Gordon
Journal:  iScience       Date:  2018-09-27
  10 in total

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