We support the goal to integrate models of culture and cognition. However, we are not convinced that the free energy principle and Thinking Through Other Minds will be useful in achieving it. There are long traditions of modeling both cultural evolution and cognition. Demonstrating that FEP or TTOM can integrate these models will require a bit more math.

With the rapid development of the Internet, political culture plays an increasingly prominent role in ethical guidance and value orientation, and the intergenerational inheritance of political culture in various countries needs to be carried out in a sophisticated way. From the perspective of empathic narrative, this study applies the network text analysis method to detect the cultural communication regularities to the contemporary young adults in online political communication and explores contemporary young adults’ perception of online political culture through empirical analysis. (...) Moreover, it proposes the empathic narrative logic of online political communication by comparing the existing communication elements and the urgently needed communication elements. Our findings suggest that we need to deepen the cognitive empathy, stabilize the emotional empathy, and adjust the emotional bias in online political communication. (shrink)

The zone of latent solutions hypothesis provides an alternative approach to explaining cultural patterns in primates and many other animals. According to the ZLS hypothesis, non-human great ape cultures consist largely or solely of latent solutions. The current competing hypothesis for ape culture argues instead that at least some of their behavioural or artefact forms are copied through specific social learning mechanisms and that their forms may depend on copying. In contrast, the ape ZLS hypothesis does not require these forms (...) to be copied. Instead, it suggests that several social learning mechanisms help determine the frequency of these behaviours and artefacts within connected individuals. The ZLS hypothesis thus suggests that increases and stabilisations of a particular behaviour’s or artefact’s frequency can derive from socially-mediated form reinnovations. Therefore, and while genes and ecology play important roles as well, according to the ape ZLS hypothesis, apes typically acquire the forms of their behaviours and artefacts individually, but are usually socially induced to do so. The ZLS approach is often criticized—perhaps also because it challenges the current null hypothesis, which instead assumes a requirement of form-copying social learning mechanisms to explain many ape behavioural forms. However, as the ZLS hypothesis is a new approach, with less accumulated literature compared to the current null hypothesis, some confusion is to be expected. Here, we clarify the ZLS approach—also in relation to other competing hypotheses—and address misconceptions and objections. We believe that these clarifications will provide researchers with a coherent theoretical approach and an experimental methodology to examine the necessity of form-copying variants of social learning in apes, humans and other species. (shrink)

Research on social learning has identified mechanisms that learners use to decide from whom to learn. Several of these mechanisms indicate that learners prefer to learn from more competent people over less competent people. This requires learners to measure the competence of other people. We use this article to analyze the incentives that this measure of competence creates. Learners measure the competence of models, people they would consider learning from, and share these judgments with other learners. This gives each model (...) a reputation for competence within a community. Each model has a biological incentive to increase the magnitude of that reputation; at the very least, increasing the magnitude should make the model more attractive to potential mates. In this article, we present logic that indicates that one way for the model to increase the magnitude of that reputation is for the model to help people who think the model is competent. This reveals a novel evolutionary incentive for humans to help other humans. (shrink)

The fearful ape hypothesis revolves around our ability to express and perceive fearfulness. Here, we address these abilities from a social learning perspective which casts fearfulness in a slightly different light. Our commentary argues that any theory that characterizes a (human) social signal as being adaptive, needs to address the role of social learning as an alternative candidate explanation.

We develop a cultural evolutionary theory of the origins of prosocial religions and apply it to resolve two puzzles in human psychology and cultural history: (1) the rise of large-scale cooperation among strangers and, simultaneously, (2) the spread of prosocial religions in the last 10–12 millennia. We argue that these two developments were importantly linked and mutually energizing. We explain how a package of culturally evolved religious beliefs and practices characterized by increasingly potent, moralizing, supernatural agents, credible displays of faith, (...) and other psychologically active elements conducive to social solidarity promoted high fertility rates and large-scale cooperation with co-religionists, often contributing to success in intergroup competition and conflict. In turn, prosocial religious beliefs and practices spread and aggregated as these successful groups expanded, or were copied by less successful groups. This synthesis is grounded in the idea that although religious beliefs and practices originally arose as nonadaptive by-products of innate cognitive functions, particular cultural variants were then selected for their prosocial effects in a long-term, cultural evolutionary process. This framework (1) reconciles key aspects of the adaptationist and by-product approaches to the origins of religion, (2) explains a variety of empirical observations that have not received adequate attention, and (3) generates novel predictions. Converging lines of evidence drawn from diverse disciplines provide empirical support while at the same time encouraging new research directions and opening up new questions for exploration and debate. (shrink)

Long before the origins of agriculture human ancestors had expanded across the globe into an immense variety of environments, from Australian deserts to Siberian tundra. Survival in these environments did not principally depend on genetic adaptations, but instead on evolved learning strategies that permitted the assembly of locally adaptive behavioral repertoires. To develop hypotheses about these learning strategies, we have modeled the evolution of learning strategies to assess what conditions and constraints favor which kinds of strategies. To build on prior (...) work, we focus on clarifying how spatial variability, temporal variability, and the number of cultural traits influence the evolution of four types of strategies: (1) individual learning, (2) unbiased social learning, (3) payoff-biased social learning, and (4) conformist transmission. Using a combination of analytic and simulation methods, we show that spatial—but not temporal—variation strongly favors the emergence of conformist transmission. This effect intensifies when migration rates are relatively high and individual learning is costly. We also show that increasing the number of cultural traits above two favors the evolution of conformist transmission, which suggests that the assumption of only two traits in many models has been conservative. We close by discussing how (1) spatial variability represents only one way of introducing the low-level, nonadaptive phenotypic trait variation that so favors conformist transmission, the other obvious way being learning errors, and (2) our findings apply to the evolution of conformist transmission in social interactions. Throughout we emphasize how our models generate empirical predictions suitable for laboratory testing. (shrink)

Learning to use, make, and modify tools is key to our species’ success. Researchers have hypothesized that play with objects may have a foundational role in the ontogeny of tool use and, over evolutionary timescales, in cumulative technological innovation. Yet, there are few systematic studies investigating children’s interactions with objects outside the post-industrialized West. Here, we survey the ethnohistorical record to uncover cross-cultural trends regarding hunter-gatherer children’s use of objects during play and instrumental activities. Our dataset, consisting of 434 observations (...) of children’s toys and tools from 54 hunter-gatherer societies, reveals several salient trends: Most objects in our dataset are used in play. Children readily manufacture their own toys, such as dolls and shelters. Most of the objects that children interact with are constructed from multiple materials. Most of the objects in our dataset are full-sized or miniature versions of adult tools, reflecting learning for adult roles. Children also engage with objects related to child culture, primarily during play. Taken together, our findings show that hunter-gatherer children grow up playing, making, and learning with objects. (shrink)

Niche construction is the process whereby organisms, through their activities and choices, modify their own and each other’s niches. By transforming natural-selection pressures, niche construction generates feedback in evolution at various different levels. Niche-constructing species play important ecological roles by creating habitats and resources used by other species and thereby affecting the flow of energy and matter through ecosystems—a process often referred to as “ecosystem engineering.” An important emphasis of niche construction theory (NCT) is that acquired characters play an evolutionary (...) role through transforming selective environments. This is particularly relevant to human evolution, where our species has engaged in extensive environmental modification through cultural practices. Humans can construct developmental environments that feed back to affect how individuals learn and develop and the diseases to which they are exposed. Here we provide an introduction to NCT and illustrate some of its more important implications for the human sciences. (shrink)

The aim of this article is to mount a challenge to gesture-first hypotheses about the evolution of language by identifying constraints on the emergence of symbol use. Current debates focus on a range of pre-conditions for the emergence of language, including co-operation and related mentalising capacities, imitation and tool use, episodic memory, and vocal physiology, but little specifically on the ability to learn and understand symbols. It is argued here that such a focus raises new questions about the plausibility of (...) gesture-first hypotheses, and so about the evolution of language in general. After a brief review of the methodology used in the article, it is argued that existing uses of gesture in hominid communities may have prohibited the emergence of symbol use, rather than ‘bootstrapped’ symbolic capacities as is usually assumed, and that the vocal channel offers other advantages in both learning and using language. In this case, the vocal channel offers a more promising platform for the evolution of language than is often assumed. (shrink)

Cultural evolution is normally framed in informational terms. However, it is not clear whether this is an adequate way to model cultural evolutionary phenomena and what, precisely, “information” is supposed to mean in this context. Would cultural evolutionary theory benefit from a well-developed theory of cultural information? The prevailing sentiment is that, in contradistinction to biology, informational language should be used nontechnically in this context for descriptive, but not explanatory, purposes. Against this view, this article makes the case for the (...) need to take a proper biology-based “informational turn” in the cultural evolutionary sciences. I argue that the current vague use of informational language misses out on the potential benefits for advancing understanding of phenomena that information-theoretic reasoning has provided in other sciences, especially genetics. In particular, by emphasizing the informational aspects of cultural evolutionary processes, this approach can clarify some conceptual and methodological problems that have plagued cultural evolutionary theory since its inception, including (1) how to determine the channel conditions of cultural information flow, (2) the nature and scope of cultural information, and (3) how to quantify trends of cultural cumulation. More generally, theories of cultural evolution will be incomplete until the mechanisms underlying cultural processes are better understood and integrated into the explanations. This article explores the adequacy of an information-theoretic framework to accomplish these purposes. (shrink)

Efforts have been dedicated to the understanding of social-ecological systems, an important focus in ethnobiological studies. In particular, ethnobiological investigations have found evidence and tested hypotheses over the last 30 years on the interactions between human groups and their environments, generating the need to formulate a theory for such systems. In this article, we propose the social-ecological theory of maximization to explain the construction and functioning of these systems over time, encompassing hypotheses and evidence from previous ethnobiological studies. In proposing (...) the theory, we present definitions and two conceptual models, an environmental maximization model and a redundancy generation model. The first model seeks to address biota selection and its use by human populations. The second emphasizes how the system organizes itself from the elements that were incorporated into it. Furthermore, we provide the theoretical scenario of plant selection and use from an evolutionary perspective, which explicitly integrates the phylogenetic relationships of plants (or other living resources) and human beings. (shrink)

The concepts of adaptation and fitness have such an appeal that they have been used in other scientific domains, including the social sciences. One particular aspect of this theory transfer concerns the so-called fitness landscape models. At first sight, fitness landscapes visualize how an agent, of any kind, relates to its environment, how its position is conditional because of the mutual interaction with other agents, and the potential routes towards improved fitness. The allure of fitness landscapes is first and foremost (...) that it represents a complex story about adaptation and fitness in one coherent image. Different accounts of fitness landscapes in different domains in the social sciences suggest that the properties and functions of fitness landscapes are attributed rather freely. These differences are testimony of the model’s versatility. At the same time, one will notice that the different approaches can also create ambiguity about the exact meaning and role of fitness landscapes in the social sciences. This article presents an extensive literature survey of the diverging interpretations and uses of fitness landscapes in the social sciences and discusses the implications in terms of how these models inform scientific inquiry. (shrink)

Evidence shows that knowledge concerning medicinal plants is heterogeneous, as the majority of people in a medical system know only a few plants. This heterogeneity may make sense from an adaptive viewpoint, as human beings tend to keep a small set of information that offers adaptive advantages because our brains can store limited amounts of data. From this scenario, we developed the structural core concept for medical systems: a group of medicinal plants with adaptive characteristics that affect the structure and (...) function of medical systems. We created a set of hypotheses based on the structural core concept to guide future studies investigating the structure and dynamics of local medical systems. Concerning the dynamics of medical systems, we suggest that the structural core is the part of the system that changes least over time, i.e., it is the most conservative. Thus, we can expect that species substitution events mainly occur outside of the structural core. From the medical system structure, we indicate that core plants tend to be favored in the transmission of knowledge. These plants also serve as a model for the selection of novel medicinal plants and are therefore an important factor for the medical system structure. Analysis of the structural core can help the understanding of the structure and dynamics of medical systems and can aid future bioprospecting studies, which can search for plants with pharmacological potential using the structural core. (shrink)

The behavioral sciences have flourished by studying how traditional and/or rational behavior has been governed throughout most of human history by relatively well-informed individual and social learning. In the online age, however, social phenomena can occur with unprecedented scale and unpredictability, and individuals have access to social connections never before possible. Similarly, behavioral scientists now have access to “big data” sets – those from Twitter and Facebook, for example – that did not exist a few years ago. Studies of human (...) dynamics based on these data sets are novel and exciting but, if not placed in context, can foster the misconception that mass-scale online behavior is all we need to understand, for example, how humans make decisions. To overcome that misconception, we draw on the field of discrete-choice theory to create a multiscale comparative “map” that, like a principal-components representation, captures the essence of decision making along two axes: aneast–westdimension that represents the degree to which an agent makes a decision independently versus one that is socially influenced, and anorth–south dimensionthat represents the degree to which there is transparency in the payoffs and risks associated with the decisions agents make. We divide the map into quadrants, each of which features a signature behavioral pattern. When taken together, the map and its signatures provide an easily understood empirical framework for evaluating how modern collective behavior may be changing in the digital age, including whether behavior is becoming more individualistic, as people seek out exactly what they want, or more social, as people become more inextricably linked, even “herdlike,” in their decision making. We believe the map will lead to many new testable hypotheses concerning human behavior as well as to similar applications throughout the social sciences. (shrink)

It has become increasingly clear that social learning and culture occur much more broadly, and in a wider variety of animal communities, than initially believed. Recent research has expanded the list to include insects, fishes, elephants, and cetaceans. Such diversity allows scientists to expand the scope of potential research questions, which can help form a more complete understanding of animal culture than any single species can provide on its own. It is crucial to understand how culture and social learning present (...) in different communities, as well as what influences community structure and culture may have on one another, so that the results across these different studies may most effectively inform one another. This review presents an overview of social learning in species across a spectrum of community structures, providing the necessary infrastructure to allow a comparison of studies that will help move the field of animal culture forward. (shrink)

Efforts have been dedicated to the understanding of social-ecological systems, an important focus in ethnobiological studies. In particular, ethnobiological investigations have found evidence and tested hypotheses over the last 30 years on the interactions between human groups and their environments, generating the need to formulate a theory for such systems. In this article, we propose the social-ecological theory of maximization to explain the construction and functioning of these systems over time, encompassing hypotheses and evidence from previous ethnobiological studies. In proposing (...) the theory, we present definitions and two conceptual models, an environmental maximization model and a redundancy generation model. The first model seeks to address biota selection and its use by human populations. The second emphasizes how the system organizes itself from the elements that were incorporated into it. Furthermore, we provide the theoretical scenario of plant selection and use from an evolutionary perspective, which explicitly integrates the phylogenetic relationships of plants and human beings. (shrink)

This research provides evidence regarding the causal effect of group conformity on task performance in stable and variable environments. Drawing on studies in cultural evolution, social learning, and social psychology, we experimentally tested the hypotheses that conformity improves group performance in a stable environment (H1) and decreases performance (by hindering adaptability) in a temporally variable environment (H2). We compare the performance of individuals, low conformity groups, and high conformity groups in a four-arm randomized lab experiment (N = 240). High conformity (...) was manipulated by rewarding agreement with the group’s majority and imposing a cost on disagreement. The monetary implications of conformity impaired performance in a variable environment but did not have a significant effect on performance in the stable environment. Intragroup individual-level analyses provide insights into the mechanisms that account for the group-level results by showing that lower conformity in groups facilitates efficient adaptability in the use of social information. (shrink)