Artificial Life 14: Proceedings of the Fourteenth International Conference on the Synthesis and Simulation of Living Systems 2014
DOI: 10.7551/978-0-262-32621-6-ch148
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Effects of Personality Distribution on Collective Behavior

Abstract: Optimizing group success is challenging for multi-robot systems, especially for large systems such as robot swarms where even simple individual interaction rules can lead to complex group behavior. Studies of natural systems have shown that heterogeneous groups can outperform homogeneous groups, especially when individual differences lead to role or niche specialization. This happens even when the individuals are seemingly identical. Although individuals within a group may appear physically identical, they can… Show more

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Cited by 6 publications
(11 citation statements)
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“…They also can experience increased foraging success ( Dyer et al 2009a ; Pruitt et al 2012; Aplin et al 2014; Pruitt and Keiser 2014 ) and more effective anti-predator behavior ( Wright et al 2016 ). Additionally, the efficiency of collective movement to resources can improve with increased among-individual variation in behavior ( Couzin et al 2005 ; Dussutour et al 2008 ; Nicolis et al 2008 ; Michelena et al 2010 ; Eskridge and Schlupp 2014 ; Planas-Sitja et al 2015 ). Fitness in groups with greater among-individual variation can also be more robust to variable environments than that of homogeneous groups ( Goulet et al 2016 ).…”
Section: Variation Among Group Members In Task-independent Behaviors mentioning
confidence: 99%
“…They also can experience increased foraging success ( Dyer et al 2009a ; Pruitt et al 2012; Aplin et al 2014; Pruitt and Keiser 2014 ) and more effective anti-predator behavior ( Wright et al 2016 ). Additionally, the efficiency of collective movement to resources can improve with increased among-individual variation in behavior ( Couzin et al 2005 ; Dussutour et al 2008 ; Nicolis et al 2008 ; Michelena et al 2010 ; Eskridge and Schlupp 2014 ; Planas-Sitja et al 2015 ). Fitness in groups with greater among-individual variation can also be more robust to variable environments than that of homogeneous groups ( Goulet et al 2016 ).…”
Section: Variation Among Group Members In Task-independent Behaviors mentioning
confidence: 99%
“…where the P J of a given responder r within a group of N individuals depends on a single parameter α′. This can be understood as a parameter defining the magnitude of a personality trait 27,43,53 , which influences collective movement decisions by altering the individual probability of joining, with higher values associated with lower joining probability. In our model, the parameter α′ has no effect on the probability of initiating a movement.…”
Section: Simulation Model Developmentmentioning
confidence: 99%
“…Capuchin monkeys are arboreal primates that form small groups (4-40 individuals) of multiple males/females of different ages and must collectively move between foraging sites frequently (see Methods for more details). The dataset used by Petit et al 10 comprised 255 collective movements of a group of Capuchin monkeys, which has been the focus of a series of theoretical and observational studies 10,42,43 , including the original model in Eqs. 1 and 2.…”
Section: Simulation Model Developmentmentioning
confidence: 99%
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