scholarly journals Rules of thumb and cultural evolution: How simple heuristics have guided human adaptation and the emergence of cultural complexity

2021 ◽  
Author(s):  
Roope Oskari Kaaronen ◽  
Mikael A. Manninen ◽  
Jussi T. Eronen

This article combines insights from ecological rationality and cultural evolution to illustrate how simple heuristics – colloquially, “rules of thumb” – have guided human behaviour and the evolution of complex cultures. Through a variety of examples and case studies, we discuss how human cultures have used rules of thumb in domains as diverse as foraging, resource management, social learning, moral judgment, and cultural niche construction. We propose four main arguments. Firstly, we argue that human societies have a rich cultural history in applying rules of thumb to guide daily activities and social organization. Second, we emphasise how rules of thumb may be convenient units of cultural transmission and high-fidelity social learning – the backbones of cumulative cultural evolution. Third, we highlight how rules of thumb can facilitate efficient decision making by making use of environmental and bodily features. Fourth, we discuss how simple rules of thumb may serve as building blocks for the emergence of more complex cultural patterns. This paper sets a research agenda for studying how simple rules contribute to cultural evolution in the past, the present, and the Anthropocene future.

2018 ◽  
Author(s):  
Alex Mesoudi

Cultural evolution is a branch of the evolutionary sciences which assumes that (i) human cognition and behaviour is shaped not only by genetic inheritance, but also cultural inheritance (also known as social learning), and (ii) this cultural inheritance constitutes a Darwinian evolutionary system that can be analysed and studied using tools borrowed from evolutionary biology. In this chapter I explore the numerous compatibilities between the fields of cultural evolution and cultural psychology, and the potential mutual benefits from their closer alignment. First, understanding the evolutionary context within which human psychology emerged gives added significance to the findings of cultural psychologists, which reinforce the conclusion reached by cultural evolution scholars that humans inhabit a ‘cultural niche’ within which the major means of adaptation to difference environments is cultural, rather than genetic. Hence, we should not be surprised that human psychology shows substantial cross-cultural variation. Second, a focus on cultural transmission pathways, drawing on cultural evolution models and empirical research, can help to explain to the maintenance of, and potential changes in, cultural variation in psychological processes. Evidence from migrants, in particular, points to a mix of vertical, oblique and horizontal cultural transmission that can explain the differential stability of different cultural dimensions. Third, cultural evolutionary methods offer powerful means of testing historical (“macro-evolutionary”) hypotheses put forward by cultural psychologists for the origin of psychological differences. Explanations in terms of means of subsistence, rates of environmental change or pathogen prevalence can be tested using quantitative models and phylogenetic analyses that can be used to reconstruct cultural lineages. Evolutionary considerations also point to potential problems with current cross-country comparisons conducted within cultural psychology, such as the non-independence of data points due to shared cultural history. Finally, I argue that cultural psychology can play a central role in a synthetic evolutionary science of culture, providing valuable links between individual-oriented disciplines such as experimental psychology and neuroscience on the one hand, and society-oriented disciplines such as anthropology, history and sociology on the other, all within an evolutionary framework that provides links to the biological sciences.


2021 ◽  
pp. 095679762110322
Author(s):  
Marcel Montrey ◽  
Thomas R. Shultz

Surprisingly little is known about how social groups influence social learning. Although several studies have shown that people prefer to copy in-group members, these studies have failed to resolve whether group membership genuinely affects who is copied or whether group membership merely correlates with other known factors, such as similarity and familiarity. Using the minimal-group paradigm, we disentangled these effects in an online social-learning game. In a sample of 540 adults, we found a robust in-group-copying bias that (a) was bolstered by a preference for observing in-group members; (b) overrode perceived reliability, warmth, and competence; (c) grew stronger when social information was scarce; and (d) even caused cultural divergence between intermixed groups. These results suggest that people genuinely employ a copy-the-in-group social-learning strategy, which could help explain how inefficient behaviors spread through social learning and how humans maintain the cultural diversity needed for cumulative cultural evolution.


2019 ◽  
Author(s):  
Roope Oskari Kaaronen

How do mushroom foragers make safe and efficient decisions under uncertainty, or deal with the genuine risks of misiden-tification and poisoning? This article is an inquiry into ecological rationality, heuristics, perception, and decision-makingin mushroom foraging. By surveying 894 Finnish mushroom foragers, this article illustrates how socially learned rules of thumb and heuristics are used in mushroom foraging, and how simple heuristics are often complemented by more complex and intuitive decision-making. The results illustrate how traditional foraging cultures have evolved precautionary heuristics to deal with uncertainties and poisonous species, and how foragers develop selective attention through experience. The study invites us to consider whether other human foraging cultures might use heuristics similarly, how and why such traditions have culturally evolved, and whether early hunter-gatherers might have used simple heuristics to deal with uncertainty.


Author(s):  
William Hoppitt ◽  
Kevin N. Laland

This chapter describes a variety of approaches to modeling social learning, cultural evolution, and gene-culture coevolution. The model-building exercise typically starts with a set of assumptions about the key processes to be explored, along with the nature of their relations. These assumptions are then translated into the mathematical expressions that constitute the model. The operation of the model is then investigated, normally using a combination of analytical mathematical techniques and simulation, to determine relevant outcomes, such as the equilibrium states or patterns of change over time. The chapter presents examples of the modeling of cultural transmission and considers parallels between cultural and biological evolution. It then discusses theoretical approaches to social learning and cultural evolution, including population-genetic style models of cultural evolution and gene-culture coevolution, neutral models and random copying, social foraging theory, spatially explicit models, reaction-diffusion models, agent-based models, and phylogenetic models.


2020 ◽  
Vol 287 (1928) ◽  
pp. 20200090
Author(s):  
Marcel Montrey ◽  
Thomas R. Shultz

A defining feature of human culture is that knowledge and technology continually improve over time. Such cumulative cultural evolution (CCE) probably depends far more heavily on how reliably information is preserved than on how efficiently it is refined. Therefore, one possible reason that CCE appears diminished or absent in other species is that it requires accurate but specialized forms of social learning at which humans are uniquely adept. Here, we develop a Bayesian model to contrast the evolution of high-fidelity social learning, which supports CCE, against low-fidelity social learning, which does not. We find that high-fidelity transmission evolves when (1) social and (2) individual learning are inexpensive, (3) traits are complex, (4) individual learning is abundant, (5) adaptive problems are difficult and (6) behaviour is flexible. Low-fidelity transmission differs in many respects. It not only evolves when (2) individual learning is costly and (4) infrequent but also proves more robust when (3) traits are simple and (5) adaptive problems are easy. If conditions favouring the evolution of high-fidelity transmission are stricter (3 and 5) or harder to meet (2 and 4), this could explain why social learning is common, but CCE is rare.


2020 ◽  
Vol 6 (9) ◽  
pp. eaax5913 ◽  
Author(s):  
Andrea B. Migliano ◽  
Federico Battiston ◽  
Sylvain Viguier ◽  
Abigail E. Page ◽  
Mark Dyble ◽  
...  

Although multilevel sociality is a universal feature of human social organization, its functional relevance remains unclear. Here, we investigated the effect of multilevel sociality on cumulative cultural evolution by using wireless sensing technology to map inter- and intraband social networks among Agta hunter-gatherers. By simulating the accumulation of cultural innovations over the real Agta multicamp networks, we demonstrate that multilevel sociality accelerates cultural differentiation and cumulative cultural evolution. Our results suggest that hunter-gatherer social structures [based on (i) clustering of families within camps and camps within regions, (ii) cultural transmission within kinship networks, and (iii) high intercamp mobility] may have allowed past and present hunter-gatherers to maintain cumulative cultural adaptation despite low population density, a feature that may have been critical in facilitating the global expansion of Homo sapiens.


2000 ◽  
Vol 23 (5) ◽  
pp. 727-741 ◽  
Author(s):  
Peter M. Todd ◽  
Gerd Gigerenzer

How can anyone be rational in a world where knowledge is limited, time is pressing, and deep thought is often an unattainable luxury? Traditional models of unbounded rationality and optimization in cognitive science, economics, and animal behavior have tended to view decision-makers as possessing supernatural powers of reason, limitless knowledge, and endless time. But understanding decisions in the real world requires a more psychologically plausible notion of bounded rationality. In Simple heuristics that make us smart (Gigerenzer et al. 1999), we explore fast and frugal heuristics – simple rules in the mind's adaptive toolbox for making decisions with realistic mental resources. These heuristics can enable both living organisms and artificial systems to make smart choices quickly and with a minimum of information by exploiting the way that information is structured in particular environments. In this précis, we show how simple building blocks that control information search, stop search, and make decisions can be put together to form classes of heuristics, including: ignorance-based and one-reason decision making for choice, elimination models for categorization, and satisficing heuristics for sequential search. These simple heuristics perform comparably to more complex algorithms, particularly when generalizing to new data – that is, simplicity leads to robustness. We present evidence regarding when people use simple heuristics and describe the challenges to be addressed by this research program.


2015 ◽  
Vol 41 (1) ◽  
pp. 127-141
Author(s):  
Katarzyna Stadnik

AbstractIn the paper, we address the question of the relation between language and culture from a Cognitive Linguistic perspective. While accounting for the role of language as an aid to cultural transmission in maintaining the community’s conceptual order, we address the question of whether the concept of a linguistic worldview aptly captures the interplay between language and culture. We suggest that, due to cumulative cultural evolution spurred by the incessant development of human knowledge, layers of conceptualisations accumulate over time. It is proposed that this palimpsest of conceptualisations results from human interaction that transcends the constraints of the present moment, encompassing the past and present, as well as delineating possible developments of the community’s future conceptual order.


2015 ◽  
Vol 282 (1810) ◽  
pp. 20150061 ◽  
Author(s):  
Sarah Mathew ◽  
Charles Perreault

The behavioural variation among human societies is vast and unmatched in the animal world. It is unclear whether this variation is due to variation in the ecological environment or to differences in cultural traditions. Underlying this debate is a more fundamental question: is the richness of humans’ behavioural repertoire due to non-cultural mechanisms, such as causal reasoning, inventiveness, reaction norms, trial-and-error learning and evoked culture, or is it due to the population-level dynamics of cultural transmission? Here, we measure the relative contribution of environment and cultural history in explaining the behavioural variation of 172 Native American tribes at the time of European contact. We find that the effect of cultural history is typically larger than that of environment. Behaviours also persist over millennia within cultural lineages. This indicates that human behaviour is not predominantly determined by single-generation adaptive responses, contra theories that emphasize non-cultural mechanisms as determinants of human behaviour. Rather, the main mode of human adaptation is social learning mechanisms that operate over multiple generations.


Author(s):  
Nicolas Bredeche ◽  
Nicolas Fontbonne

In this paper, we present an implementation of social learning for swarm robotics. We consider social learning as a distributed online reinforcement learning method applied to a collective of robots where sensing, acting and coordination are performed on a local basis. While some issues are specific to artificial systems, such as the general objective of learning efficient (and ideally, optimal) behavioural strategies to fulfill a task defined by a supervisor, some other issues are shared with social learning in natural systems. We discuss some of these issues, paving the way towards cumulative cultural evolution in robot swarms, which could enable complex social organization necessary to achieve challenging robotic tasks. This article is part of a discussion meeting issue ‘The emergence of collective knowledge and cumulative culture in animals, humans and machines’.


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