2016
DOI: 10.1098/rstb.2015.0369
|View full text |Cite
|
Sign up to set email alerts
|

Blackboxing: social learning strategies and cultural evolution

Abstract: One contribution of 15 to a theme issue 'Attending to and neglecting people'. Social learning strategies (SLSs) enable humans, non-human animals, and artificial agents to make adaptive decisions about when they should copy other agents, and who they should copy. Behavioural ecologists and economists have discovered an impressive range of SLSs, and explored their likely impact on behavioural efficiency and reproductive fitness while using the 'phenotypic gambit'; ignoring, or remaining deliberately agnostic abo… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

3
75
0
1

Year Published

2016
2016
2022
2022

Publication Types

Select...
5
4

Relationship

2
7

Authors

Journals

citations
Cited by 104 publications
(79 citation statements)
references
References 47 publications
(76 reference statements)
3
75
0
1
Order By: Relevance
“…Therefore, assessing the impact of this social learning bias is crucial to accurately predicting the threats posed by poachers and the demographic costs that the removal of such individuals from the population would have (Whitehead 2010). Also important to such assessments is whether individuals are flexible in employing different social learning strategies that enable them to learn when to switch to a different demonstrator if their demonstrator becomes unreliable or ceases to exist (discussed in Heyes 2016; Mesoudi et al 2016). …”
Section: Learning Is Biasedmentioning
confidence: 99%
“…Therefore, assessing the impact of this social learning bias is crucial to accurately predicting the threats posed by poachers and the demographic costs that the removal of such individuals from the population would have (Whitehead 2010). Also important to such assessments is whether individuals are flexible in employing different social learning strategies that enable them to learn when to switch to a different demonstrator if their demonstrator becomes unreliable or ceases to exist (discussed in Heyes 2016; Mesoudi et al 2016). …”
Section: Learning Is Biasedmentioning
confidence: 99%
“…), it is impossible to disentangle the very learning bias that the observers follow, while this is exactly what we want to know (e.g. see Heyes, 2016). For instance, if we were to investigate the evolutionary roots of conformist decision making and we find that immigrant vervet monkeys, patas monkeys and rhesus macaques all adjust their preferences to the majority of the new group, we would need to know whether they were biased to 'the majority' or to any other cue provided by the majority, for without this knowledge, the apparent similarity in decision-making strategies across these species may be purely coincidental rather than a phylogenetic signal.…”
mentioning
confidence: 98%
“…Fogarty, Rendell & Laland 2012;Tomasello 1999;2014) but it is problematic (Heyes, 2016a). Unlike active social learning, mindreading and imitation are good candidates to be the secret of our success in that they appear to be distinctively human.…”
Section: What Is Cultural Learning?mentioning
confidence: 99%