scholarly journals Ornament, armament, or toolkit? Modelling how population size drives the evolution of birdsong, a functional cultural trait

2021 ◽  
Author(s):  
Emily J. Hudson ◽  
Nicole Creanza
Keyword(s):  
Social Network ◽  
Social Learning ◽  
Cultural Evolution ◽  
Quality Trait ◽  
Population Bottlenecks ◽  
Evolutionary Perspective ◽  
Cultural Trait ◽  
Important Study ◽  
Demographic Processes ◽  
Over Time

AbstractOscine songbirds have been an important study system for social learning, particularly because their learned songs provide an analog for human languages and music. Here we propose a different analogy; from an evolutionary perspective, could a bird’s song be more like an arrowhead than an aria? We modify an existing model of human tool evolution to accommodate cultural evolution of birdsong: each song learner chooses the most skilled available tutor to emulate, and more likely produces an inferior copy than a superior one. Similarly to human toolx evolution, we show that larger populations foster greater improvements in song over time, even when learners restrict their pool of tutors to a subset of individuals. We also demonstrate that randomly sampling tutors from the population offers no clear benefit over sampling only existing connections in a structured social network, and that by allowing a lower quality trait to be easier to imitate than a higher quality one, simpler songs can be maintained after population bottlenecks. We show that these processes could plausibly generate empirically observed patterns of song evolution, and we make predictions about the types of song elements most likely to be lost when populations shrink. More broadly, we aim to connect the modeling approaches used by researchers studying social learning in human and non-human systems, moving toward a cohesive theoretical framework that accounts for both cognitive and demographic processes.

scholarly journals The evolution of high-fidelity social learning

2020 ◽  
Vol 287 (1928) ◽  
pp. 20200090
Author(s):  
Marcel Montrey ◽  
Thomas R. Shultz
Keyword(s):  
Social Learning ◽  
Cultural Evolution ◽  
Bayesian Model ◽  
Individual Learning ◽  
High Fidelity ◽  
Human Culture ◽  
Cumulative Cultural Evolution ◽  
Over Time

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.

scholarly journals Studying cumulative cultural evolution in the laboratory

2008 ◽  
Vol 363 (1509) ◽  
pp. 3529-3539 ◽  
Author(s):  
Christine A Caldwell ◽  
Ailsa E Millen
Keyword(s):  
Natural Selection ◽  
Social Learning ◽  
Cultural Evolution ◽  
Experimental Studies ◽  
Population Level ◽  
Experimental Methods ◽  
Cultural Processes ◽  
Cumulative Cultural Evolution ◽  
Adaptive Complexity ◽  
Over Time

Cumulative cultural evolution is the term given to a particular kind of social learning, which allows for the accumulation of modifications over time, involving a ratchet-like effect where successful modifications are maintained until they can be improved upon. There has been great interest in the topic of cumulative cultural evolution from researchers from a wide variety of disciplines, but until recently there were no experimental studies of this phenomenon. Here, we describe our motivations for developing experimental methods for studying cumulative cultural evolution and review the results we have obtained using these techniques. The results that we describe have provided insights into understanding the outcomes of cultural processes at the population level. Our experiments show that cumulative cultural evolution can result in adaptive complexity in behaviour and can also produce convergence in behaviour. These findings lend support to ideas that some behaviours commonly attributed to natural selection and innate tendencies could in fact be shaped by cultural processes.

Cultural Evolution with Social Categories

2019 ◽  
pp. 58-83
Author(s):  
Cailin O'Connor
Keyword(s):  
Social Learning ◽  
Cultural Evolution ◽  
Social Groups ◽  
Evolutionary Process ◽  
Evolutionary Models ◽  
Social Categories ◽  
Starting Point ◽  
Patterns Of Behavior ◽  
Cultural Evolutionary ◽  
Over Time

This chapter looks at evolutionary models capable of representing the emergence of conventions between actors in different social groups. From a starting point of uncoordinated behavior, groups move toward states where everyone follows unified patterns in a way that tends to lead to successful outcomes. This cultural evolution is driven by social learning. Once groups have arrived at these coordinated behaviors they tend to remain there, so that the patterns of behavior persist over time. As the chapter shows, the addition of social categories radically changes the cultural evolutionary process. In particular, groups with categories reach the inequitable, but efficient, outcomes described in the last chapter.

scholarly journals Complex foraging behaviours in wild birds emerge from social learning and recombination of components

2021 ◽  
Vol 377 (1843) ◽  
Author(s):  
S. Wild ◽  
M. Chimento ◽  
K. McMahon ◽  
D. R. Farine ◽  
B. C. Sheldon ◽  
...  
Keyword(s):  
Social Networks ◽  
Social Learning ◽  
Cultural Evolution ◽  
Experimental Tests ◽  
Collective Knowledge ◽  
Cumulative Culture ◽  
Cultural Traditions ◽  
Two Generations ◽  
Cumulative Cultural Evolution ◽  
Over Time

Recent well-documented cases of cultural evolution towards increasing efficiency in non-human animals have led some authors to propose that other animals are also capable of cumulative cultural evolution, where traits become more refined and/or complex over time. Yet few comparative examples exist of traits increasing in complexity, and experimental tests remain scarce. In a previous study, we introduced a foraging innovation into replicate subpopulations of great tits, the ‘sliding-door puzzle’. Here, we track diffusion of a second ‘dial puzzle’, before introducing a two-step puzzle that combines both actions. We mapped social networks across two generations to ask if individuals could: (1) recombine socially-learned traits and (2) socially transmit a two-step trait. Our results show birds could recombine skills into more complex foraging behaviours, and naïve birds across both generations could learn the two-step trait. However, closer interrogation revealed that acquisition was not achieved entirely through social learning—rather, birds socially learned components before reconstructing full solutions asocially. As a consequence, singular cultural traditions failed to emerge, although subpopulations of birds shared preferences for a subset of behavioural variants. Our results show that while tits can socially learn complex foraging behaviours, these may need to be scaffolded by rewarding each component. This article is part of a discussion meeting issue ‘The emergence of collective knowledge and cumulative culture in animals, humans and machines’.

scholarly journals Artefacts in cultural transmission: Evolutionary perspective

2018 ◽  
Vol 13 (4) ◽  
Author(s):  
Aleksandra Nikolić
Keyword(s):  
Cultural Evolution ◽  
Cultural Transmission ◽  
Personal Contact ◽  
Evolutionary Perspective ◽  
Genetic Transmission ◽  
Principal Characteristics ◽  
Body Of Knowledge ◽  
Cultural Persistence ◽  
Over Time

In this study, the existing body of knowledge related to the mechanisms of cultural evolution is analyzed in view of the role of artefacts in cultural transmission. It is focused primarily on the vertical transmission without inter-personal contact. Particular attention is given to the comparison between unit of culture and artefacts as its material expression, as well as to the studies of analogy between replication in genetic transmission and cultural transmission. It is found that retrieving cultural information from an artefact in absence of original transmitter still shows the principal characteristics of cultural transmission. This type of cultural transmission is of lower fidelity than synchronic transmission with inter-personal contact, since it relies on an artefact as a transmission medium, but can provide for cultural persistence and lay ground for adaptive modifications over time.

Social transmission bias and the cultural evolution of folk-economic beliefs

2018 ◽  
Vol 41 ◽  
Author(s):  
David Hirshleifer ◽  
Siew Hong Teoh
Keyword(s):  
Cultural Evolution ◽  
Social Transmission ◽  
Cognitive Approach ◽  
Economic Problems ◽  
Economic Attitudes ◽  
The Social ◽  
Economic Beliefs ◽  
Over Time

AbstractEvolved dispositions influence, but do not determine, how people think about economic problems. The evolutionary cognitive approach offers important insights but underweights the social transmission of ideas as a level of explanation. The need for asocialexplanation for the evolution of economic attitudes is evidenced, for example, by immense variations in folk-economic beliefs over time and across individuals.

Social Learning

2013 ◽  
Author(s):  
William Hoppitt ◽  
Kevin N. Laland
Keyword(s):  
Spatial Distribution ◽  
Social Learning ◽  
Learning Strategies ◽  
Cognitive Neuroscience ◽  
Cultural Evolution ◽  
Experimental Psychology ◽  
Academic Disciplines ◽  
Mathematical Methods ◽  
Indispensable Tool ◽  
Social Learning Strategies

Many animals, including humans, acquire valuable skills and knowledge by copying others. Scientists refer to this as social learning. It is one of the most exciting and rapidly developing areas of behavioral research and sits at the interface of many academic disciplines, including biology, experimental psychology, economics, and cognitive neuroscience. This book provides a comprehensive, practical guide to the research methods of this important emerging field. It defines the mechanisms thought to underlie social learning and demonstrate how to distinguish them experimentally in the laboratory. It presents techniques for detecting and quantifying social learning in nature, including statistical modeling of the spatial distribution of behavior traits. It also describes the latest theory and empirical findings on social learning strategies, and introduces readers to mathematical methods and models used in the study of cultural evolution. This book is an indispensable tool for researchers and an essential primer for students.

Developing a sustainable Digital Health Innovation Ecosystem in a rural and resource-poor region: A monitored networking approach (Preprint)

2020 ◽  
Author(s):  
Arunangsu Chatterjee ◽  
Sebastian Stevens ◽  
Sheena Asthana ◽  
Ray B Jones
Keyword(s):  
Social Network ◽  
Network Analysis ◽  
Data Collection ◽  
Digital Health ◽  
Resource Poor Setting ◽  
Quadruple Helix ◽  
Innovation Ecosystem ◽  
Resource Poor ◽  
Quadruple Helix Model ◽  
Over Time

BACKGROUND Digital health (DH) innovation ecosystems (IE) are key to the development of new e-health products and services. Within an IE, third parties can help promote innovation by acting as knowledge brokers and the conduits for developing inter-organisational and interpersonal relations, particularly for smaller organisations. Kolehmainen’s quadruple helix model suggests who the critical IE actors are, and their roles. Within an affluent and largely urban setting, such ecosystems evolve and thrive organically with minimal intervention due to favourable economic and geographical conditions. Facilitating and sustaining a thriving DH IE within a resource-poor setting can be far more challenging even though far more important for such peripheral economics and the health and well-being of those communities. OBJECTIVE Taking a rural and remote region in the UK, as an instance of an IE in a peripheral economy, we adapt the quadruple helix model of innovation, apply a monitored social networking approach using McKinsey’s Three Horizons of growth to explore: • What patterns of connectivity between stakeholders develop within an emerging digital health IE? • How do networks develop over time in the DH IE? • In what ways could such networks be nurtured in order to build the capacity, capability and sustainability of the DH IE? METHODS Using an exploratory single case study design for a developing digital health IE, this study adopts a longitudinal social network analysis approach, enabling the authors to observe the development of the innovation ecosystem over time and evaluate the impact of targeted networking interventions on connectivity between stakeholders. Data collection was by an online survey and by a novel method, connection cards. RESULTS Self-reported connections between IE organisations increased between the two waves of data collection, with Small and Medium-sized Enterprises (SMEs) and academic institutions the most connected stakeholder groups. Patients involvement improved over time but still remains rather peripheral to the DH IE network. Connection cards as a monitoring tool worked really well during large events but required significant administrative overheads. Monitored networking information categorised using McKinsey’s Three Horizons proved to be an effective way to organise networking interventions ensuring sustained engagement. CONCLUSIONS The study reinforces the difficulty of developing and sustaining a DH IE in a resource-poor setting. It demonstrates the effective monitored networking approach supported by Social Network Analysis allows to map the networks and provide valuable information to plan future networking interventions (e.g. involving patients or service users). McKinsey’s Three Horizons of growth-based categorisation of the networking assets help ensure continued engagement in the DH IE contributing towards its long-term sustainability. Collecting ongoing data using survey or connection card method will become more labour intensive and ubiquitous ethically driven data collection methods can be used in future to make the process more agile and responsive.

scholarly journals Taking the Historical-Social Dimension Seriously: A Reply to Bandini et al.

2021 ◽  
Author(s):  
Miriam Noël Haidle ◽  
Oliver Schlaudt
Keyword(s):  
Social Learning ◽  
Cultural Evolution ◽  
Recent Article ◽  
Social Dimension ◽  
Archaeological Record ◽  
Cumulative Culture ◽  
Fundamental Notion ◽  
Dynamic Interpretation

AbstractIn our recent article, "Where Does Cumulative Culture Begin? A Plea for a Sociologically Informed Perspective" (Haidle and Schlaudt in Biol Theory 15:161–174, 2020) we commented on a fundamental notion in current approaches to cultural evolution, the “zones of latent solutions” (henceforth ZLS), and proposed a modification of it, namely a social and dynamic interpretation of the latent solutions which were originally introduced within an individualistic framework and as static, genetically fixed entities. This modification seemed, and still seems, relevant to us and, in particular, more adequate for coping with the archaeological record. Bandini et al. (Biol Theory, 2021) rejected our proposition and deemed it unnecessary. In their critique, they focused on: (1) our reservations about an individualistic approach; (2) our objections to the presumption of fully naive individuals; and (3) our demand for an extended consideration of forms of social learning simpler than emulation and imitation. We will briefly reply to their critique in order to clarify some misunderstandings. However, the criticisms also show that we are at an impasse on certain crucial topics, such as the meaning of ZLS and the scope and nature of culture in general. Thus, we consider it necessary to make an additional effort to identify the conceptual roots which are at the very basis of the dissent with Bandini et al.

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