Literature DB >> 28977775

The Psychology of Superorganisms: Collective Decision Making by Insect Societies.

Takao Sasaki1, Stephen C Pratt2.   

Abstract

Under the superorganism concept, insect societies are so tightly integrated that they possess features analogous to those of single organisms, including collective cognition. If so, colony function might fruitfully be studied using methods developed to understand individual animals. Here, we review research that uses psychological approaches to understand decision making by colonies. The application of neural models to collective choice shows fundamental similarities between how brains and colonies balance speed/accuracy trade-offs in decision making. Experimental analyses have explored collective rationality, cognitive capacity, and perceptual discrimination at both individual and colony levels. A major theme is the emergence of improved colony-level function from interactions among relatively less capable individuals. However, colonies also encounter performance costs due to their reliance on positive feedback, which generates consensus but can also amplify errors. Collective learning is a nascent field for the further application of psychological methods to colonies. The research strategy reviewed here shows how the superorganism concept can serve as more than an illustrative analogy.

Keywords:  cognition; cognitive overload; learning; psychophysics; rationality; self-organization

Mesh:

Year:  2017        PMID: 28977775     DOI: 10.1146/annurev-ento-020117-043249

Source DB:  PubMed          Journal:  Annu Rev Entomol        ISSN: 0066-4170            Impact factor:   19.686


  12 in total

1.  Physical and social cues shape nest-site preference and prey capture behavior in social spiders.

Authors:  Gabriella M Najm; Angelika Pe; Jonathan N Pruitt; Noa Pinter-Wollman
Journal:  Behav Ecol       Date:  2020-02-14       Impact factor: 2.671

2.  No coordination required for resources allocation during colony fission in a social insect? An individual-based model reproduces empirical patterns.

Authors:  François Lavallée; Guillaume Chérel; Thibaud Monnin
Journal:  Anim Cogn       Date:  2021-10-19       Impact factor: 3.084

3.  Computational and robotic modeling reveal parsimonious combinations of interactions between individuals in schooling fish.

Authors:  Liu Lei; Ramón Escobedo; Clément Sire; Guy Theraulaz
Journal:  PLoS Comput Biol       Date:  2020-03-16       Impact factor: 4.475

4.  Occupancy patterns in superorganisms: a spin-glass approach to ant exploration.

Authors:  Javier Cristín; Frederic Bartumeus; Vicenç Méndez; Daniel Campos
Journal:  R Soc Open Sci       Date:  2020-12-16       Impact factor: 2.963

5.  The Neglected Pieces of Designing Collective Decision-Making Processes.

Authors:  Yara Khaluf; Pieter Simoens; Heiko Hamann
Journal:  Front Robot AI       Date:  2019-03-26

6.  Semi-automatic detection of honeybee brood hygiene-an example of artificial learning to facilitate ethological studies on social insects.

Authors:  Philipp Batz; Andreas Ruttor; Sebastian Thiel; Jakob Wegener; Fred Zautke; Christoph Schwekendiek; Kaspar Bienefeld
Journal:  Biol Methods Protoc       Date:  2022-02-16

7.  Parallel vs. comparative evaluation of alternative options by colonies and individuals of the ant Temnothorax rugatulus.

Authors:  Takao Sasaki; Stephen C Pratt; Alex Kacelnik
Journal:  Sci Rep       Date:  2018-08-24       Impact factor: 4.379

8.  Food-burying behavior in red imported fire ants (Hymenoptera: Formicidae).

Authors:  Wenquan Qin; Xuan Chen; Linda M Hooper-Bùi; Jiacheng Cai; Lei Wang; Zhaohui Sun; Xiujun Wen; Cai Wang
Journal:  PeerJ       Date:  2019-01-25       Impact factor: 2.984

9.  Conflictual influence of humidity during shelter selection of the American cockroach (Periplaneta americana).

Authors:  Mariano Calvo Martín; Stamatios C Nicolis; Isaac Planas-Sitjà; Jean-Louis Deneubourg
Journal:  Sci Rep       Date:  2019-12-30       Impact factor: 4.379

10.  Irrational risk aversion in an ant.

Authors:  Massimo De Agrò; Daniel Grimwade; Richard Bach; Tomer J Czaczkes
Journal:  Anim Cogn       Date:  2021-05-03       Impact factor: 3.084

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