Cultural Transmission and the Diffusion of Innovations: Adoption Dynamics Indicate That Biased Cultural Transmission Is the Predominate Force in Behavioral Change

In challenging the pervasive model of individual actors as cost-benefit analysts who adapt their behavior by learning from the environment, this article analyzes the temporal dynamics of both environmental (individual) learning and biased cultural transmission processes by comparing these dynamics with the robust "5-shaped" curves that emerge from the diffusion of innovations literature. The analysis shows three things: (1) that environmental learning alone never produces the 5-shaped adoption dynamics typically observed in the spread of novel practices, ideas, and technologies; (2) that biased cultural transmission always produces the S-shaped temporal dynamics; and (3) that a combination of environmental learning and biased cultural transmission can generate 5-dynamics but only when biased cultural transmission is the predominate force in the spread of new behaviors. These findings suggest that biased cultural transmission processes are much more important to understanding the diffusion of innovations and sociocultural evolution than is often assumed by most theorists. [ diffusion of innovations, cultural transmission, learning, cultural evolution ]     

Moral and nonmoral innate constraints

Charles J. Lumsden and E.O. Wilson, in their writings together and individually, have proposed that human behaviors, whether moral or nonmoral, are governed by innate constraints (which they have termed epigenetic rules). I propose that if a genetic component of moral behavior is to be discovered, some sorting out of specifically moral from nonmoral innate constraints will be necessary. That some specifically moral innate constraits exist is evidenced by virtuous behaviors exhibited in nonhuman mammals, whose behavior is usually granted to be importantly governed by genetic factors. Propensities for such virtuous behaviors may have been passed to humans as highly conserved mammalian genes and continue to influence us. I propose that these constitute at least a rudimentary morality and may account in part for the moral intuitions. But other innate constraints which are nonmoral in nature interact with the specifically moral innate constraints and with culture to yield human moral decisions and actions. Any model which aims to identify the genetic component of moral behaviors or behaviors with moral import must provide not only a delineation of cultural causes but must also distinguish between those genetic causes which may have their origin in innate moral constraints from others which are fundamentally nonmoral because the critical faculty necessary to higher level human morality itself arises in part from innate constraints of a nonmoral type; i.e., the processes of inductive reasoning common to both ethics and science. Finally, humans who could bring the nonmoral evaluative capacities to bear upon whatever moral intuitions might be genetically conserved in mammalian heritage would have an advantage over similar beings who could not.     

Altruism, Altruistic Punishment and Social Investment

The concept of altruism is used in very different forms by computer scientists,economists, philosophers, social scientists, psychologists and biologists. Yet, in order to be useful in social simulations, the concept "altruism" requires a more precise meaning. A quantitative formulation is proposed here, based on the cost/benefit analysis of the altruist and of society at large. This formulation is applied in the analysis of the social dynamic working of behaviors that have been called "altruistic punishments", using the agent based computer model Sociodynamica. The simulations suggest that "altruistic punishment" on its own cannot maintain altruistic behaviors. "Altruistic behavior" is sustainable in the long term only if these behaviors trigger synergetic forces in society that eventually make them produce benefits to most individuals. The simulations suggest however that "altruistic punishment" may work as a "social investment", and is thus better called "decentralized social punishment". This behavior is very efficient in enforcing social norms. The efficiency of decentralized social punishment in enforcing norms was dependent on the type of labor structured of the virtual society. I conclude that what is called "altruistic punishment" emerges as a type of social investment that can evolve either through individual and/or group selection, as a successful device for changing or enforcing norms in a society. Social simulations will help us in better understanding the underlying dynamic working of such devices.     

Behavior as a social construction

Behavior analysis is examined from a social constructionist perspective. Constructionism is first defined and contrasted with a generic positivistic image of science. Behavior analysis, especially the matching law, is then viewed from both perspectives. The actual practice of behavior analysis (as opposed to the philosophy of radical behaviorism) more strongly resembles positivist than constructionist views. This alignment between behavior analysis and positivism emerges more sharply when positivist and constructionist perspectives are compared on the relation between science and music. Charles Rosen has identified how the classical style of musical composition and performance depended on 18th century keyboard technology, and a constructionist view sees the matching law as reflecting mid 20th century technology and culture in much the same way as it sees, say Mozart's 23rd piano concerto, as reflecting late 18th century culture. Behavior analysts, who often behave as though they see the matching law as an objective, impersonal, stable, hard, cold, incontrovertibly true fact, appear more inclined than constructionists to see a fundamental difference between the matching law and Mozart's 23rd piano concerto, to which they would attribute few if any of these characteristics. Possible implications are derived for tolerance in science.     

How citation boosts promote scientific paradigm shifts and nobel prizes

Nobel Prizes are commonly seen to be among the most prestigious achievements of our times. Based on mining several million citations, we quantitatively analyze the processes driving paradigm shifts in science. We find that groundbreaking discoveries of Nobel Prize Laureates and other famous scientists are not only acknowledged by many citations of their landmark papers. Surprisingly, they also boost the citation rates of their previous publications. Given that innovations must outcompete the rich-gets-richer effect for scientific citations, it turns out that they can make their way only through citation cascades. A quantitative analysis reveals how and why they happen. Science appears to behave like a self-organized critical system, in which citation cascades of all sizes occur, from continuous scientific progress all the way up to scientific revolutions, which change the way we see our world. Measuring the "boosting effect" of landmark papers, our analysis reveals how new ideas and new players can make their way and finally triumph in a world dominated by established paradigms. The underlying "boost factor" is also useful to discover scientific breakthroughs and talents much earlier than through classical citation analysis, which by now has become a widespread method to measure scientific excellence, influencing scientific careers and the distribution of research funds. Our findings reveal patterns of collective social behavior, which are also interesting from an attention economics perspective. Understanding the origin of scientific authority may therefore ultimately help to explain how social influence comes about and why the value of goods depends so strongly on the attention they attract.     

Universal Human Rights and the Problem of Unbounded Cultural Meanings

Freedom from violence stands as an important candidate for a universal human right. By definition, however, such rights apply only to phenomena that are universally perceived and experienced and take predictable expression, a possibility that many contemporary interpretations of cultural theory reject. Yet people who live dramatically different lives—on tourist islands in the West Indies or as hunter-gatherers and reindeer herders in Arctic regions—agree about components that comprise a unitary phenomenon legitimately called "violence." This is consistent with findings from cognitive and neruological science and with a more Geertzian theory that culture understood as meaning is not a thing, cultural variability occurs between individuals, and cultural consensus emerges as a necessary consequence of social interaction among people who participate in common social fields, who engage in common social discourse.     

Behavioral drive versus behavioral inertia in evolution: a null model approach

Some biologists embrace the classical view that changes in behavior inevitably initiate or drive evolutionary changes in other traits, yet others note that behavior sometimes inhibits evolutionary changes. Here we develop a null model that quantifies the impact of regulatory behaviors (specifically, thermoregulatory behaviors) on body temperature and on performance of ectotherms. We apply the model to data on a lizard (Anolis cristatellus) and show that thermoregulatory behaviors likely inhibit selection for evolutionary shifts in thermal physiology with altitude. Because behavioral adjustments are commonly used by ectotherms to regulate physiological performance, regulatory behaviors should generally constrain rather than drive evolution, a phenomenon we call the "Bogert effect." We briefly review a few other examples that contradict the classical view of behavior as the inevitable driving force in evolution. Overall, our analysis and brief review challenge the classical view that behavior is invariably the driving force in evolution, and instead our work supports the alternative view that behavior has diverse--and sometimes conflicting--effects on the directions and rates at which other traits evolve.     

Does Biology Constrain Culture?

Most social scientists would agree that the capacity for human culture was probably fashioned by natural selection, but they disagree about the implications of this supposition. Some believe that natural selection imposes important constraints on the ways in which culture can vary, while others believe that any such constraints must be negligible. This article employs a "thought experiment" to demonstrate that neither of these positions can be justified by appeal to general properties of culture or of evolution. Natural selection can produce mechanisms of cultural transmission that are neither adaptive nor consistent with the predictions of acultural evolutionary models (those ignoring cultural evolution). On the other hand, natural selection can also produce mechanisms of cultural transmission that are highly consistent with acultural models. Thus, neither side of the sociobiology debate is justified in dismissing the arguments of the other. Natural selection may impose significant constraints on some human behaviors, but negligible constraints on others. Models of simultaneous genetic/cultural evolution will be useful in identifying domains in which acultural evolutionary models are, and are not, likely to be useful.     

Neuroplasticity and temporal retardation of development (paedomorphic morphology) inhuman evolution: A consideration of biological requirements for the plasticity of human cognition and the potential acquisition of culturally dependent ethical world views

The fact thatHomo sapiens have one of the longest childhoods in the animal kingdom is a most significant factor when considering the biological requirements for cultural evolution. The so-called long childhood is necessary for the intergenerational transmission of learned skills and behaviors that defined culture. It is important to distinguish between behavior motivated byinstinct and behavior that islearned as a result of having been reared in a culturally dependent environment. Our neotenic development occasions an ability to learn a variety of culturally dependent behaviors. Since we are born, quite literally, as human embryos, we must recognize that our brain undergoes the bulk of its development post-natally. It is significant that at the same time the brain develops its distinctive axon-neuron network structure, persons are learning culturally dependent accepted patterns of behavior that are related to (amongst many other things) language, altruism, aggression, rites, filial, proprieties, etc. The old reductionistic nature-nurture issue is best understood as a complex array of developmental processes in which environmental stimuli (nurture) may affect the physiological development (nature) of the brain. The early plasticity of human cognition may be, to a significant degree, shaped and physiologically constrained by environmental factors (especially in the early years of development). The presence of a diversity of environmental influences the world over suggests the possibility that a person's intolerance of foreign ethical belief systems may stem from a genuine inability to conceive of ethical relationships in a manner far removed from one's daily life and native environment. After consideration of the effects of neuroplasticity and human neotenic development, it is argued that a viable sociobiological research agenda must study not only those ethical behaviors that seem to beshared across cultures, but also those behaviors that stem from culturally distinctive attitudes that arenot shared across cultural boundaries.     

3D collagen cultures under well‐defined dynamic strain: A novel strain device with a porous elastomeric support

The field of mechanobiology has grown tremendously in the past few decades, and it is now well accepted that dynamic stresses and strains can impact cell and tissue organization, cell–cell and cell–matrix communication, matrix remodeling, cell proliferation and apoptosis, cell migration, and many other cell behaviors in both physiological and pathophysiological situations. Natural reconstituted matrices like collagen and fibrin are often used for three‐dimensional (3D) mechanobiology studies because they naturally form fibrous architectures and are rich in cell adhesion sites; however, they are physically weak and typically contain >99% water, making it difficult to apply dynamic stresses to them in a truly 3D context. Here we present a composite matrix and strain device that can support natural matrices within a macroporous elastic structure of polyurethane. We characterize this system both in terms of its mechanical behavior and its ability to support the growth and in vivo‐like behaviors of primary human lung fibroblasts cultured in collagen. The porous polyurethane was created with highly interconnected pores in the hundreds of µm size scale, so that while it did not affect cell behavior in the collagen gel within the pores, it could control the overall elastic behavior of the entire tissue culture system. In this way, a well‐defined dynamic strain could be imposed on the 3D collagen and cells within the collagen for several days (with elastic recoil driven by the polyurethane) without the typical matrix contraction by fibroblasts when cultured in 3D collagen gels. We show lung fibroblast‐to‐myofibroblast differentiation under 30%, 0.1 Hz dynamic strain to validate the model and demonstrate its usefulness for a wide range of tissue engineering applications. Biotechnol. Bioeng. 2009;103: 217–225. © 2008 Wiley Periodicals, Inc.     

Randomization Analyses: Mimicry, Geographic Variation and Cultural Evolution of Song in Brood-Parasitic Straw-Tailed Whydahs, Vidua fischeri

Although bird song has been an important model for investigating questions of behavior development, cultural evolution and population differentiation, the quantitative methods of analysis have been problematic. Here we develop and apply quantitative randomization methods to test hypotheses about these processes in a natural population of birds. Songs of the African brood-parasitic straw-tailed whydahs ( Vidua fischeri ) and songs of their host species, the purple grenadier ( Granatina ianthinogaster ), were compared in audiospectrograms for similarity to test the following hypotheses: Whydahs mimic the songs of their host species, they have local song dialects, neighboring males match their song themes, local males match the songs of local hosts, remote populations have different songs according to their geographic distance, and songs undergo cultural evolution over time across generations. Randomization analyses were completed using (1) Mantel matrix statistics and (2) tree-based measures employing Sankoff optimization of Manhattan matrices and approximate randomizations. Our results provide evidence for song mimicry, local song dialects, matching song themes between neighboring males, song matching of local whydah mimics and grenadier song models, correspondence of song differences and geographic distance, and cultural continuity with change in song traditions within a local population. These randomization methods may be useful in other studies of animal communication, and they are sufficiently general for use both with distance matrices derived either from naturalistic impressions of song similarity as in our example or from acoustic measurements.     

Using random forests for assistance in the curation of G-protein coupled receptor databases

Background

Biology is experiencing a gradual but fast transformation from a laboratory-centred science towards a data-centred one. As such, it requires robust data engineering and the use of quantitative data analysis methods as part of database curation. This paper focuses on G protein-coupled receptors, a large and heterogeneous super-family of cell membrane proteins of interest to biology in general. One of its families, Class C, is of particular interest to pharmacology and drug design. This family is quite heterogeneous on its own, and the discrimination of its several sub-families is a challenging problem. In the absence of known crystal structure, such discrimination must rely on their primary amino acid sequences.

Methods

We are interested not as much in achieving maximum sub-family discrimination accuracy using quantitative methods, but in exploring sequence misclassification behavior. Specifically, we are interested in isolating those sequences showing consistent misclassification, that is, sequences that are very often misclassified and almost always to the same wrong sub-family. Random forests are used for this analysis due to their ensemble nature, which makes them naturally suited to gauge the consistency of misclassification. This consistency is here defined through the voting scheme of their base tree classifiers.

Results

Detailed consistency results for the random forest ensemble classification were obtained for all receptors and for all data transformations of their unaligned primary sequences. Shortlists of the most consistently misclassified receptors for each subfamily and transformation, as well as an overall shortlist including those cases that were consistently misclassified across transformations, were obtained. The latter should be referred to experts for further investigation as a data curation task.

Conclusion

The automatic discrimination of the Class C sub-families of G protein-coupled receptors from their unaligned primary sequences shows clear limits. This study has investigated in some detail the consistency of their misclassification using random forest ensemble classifiers. Different sub-families have been shown to display very different discrimination consistency behaviors. The individual identification of consistently misclassified sequences should provide a tool for quality control to GPCR database curators.

     

Reflections on the Limits of Science and Technology

SYNOPSIS. Exuberance over insights gained in the infant fieldof genetics early this centuryled scientists to extrapolatebeyond their data to heredity of behavioral traits in people.Oneof the direct consequences was the incarceration of Americansand Canadians of Japanese ancestry during World War II as enemyaliens. Drawing on this personal experience of the misapplicationof science, I describe the process of scientific indoctrinationand blindness to the limitations of this way of knowing. Thisled to my attempt to demystify science through the electronicmedia. Only recently have I come to understand that two assumptionsthat impelled me to use television in the first place are wrong.The first was that with access to more information about science,the general public would be in a position of making better informeddecisions on issues involving science and technology. The problemis that we are overwhelmed with information and most peoplelack the ability to distinguish meaningful "signal" (i.e., credibleinformation) from background "noise" (i.e., garbage). We believein phantoms created by the acceptance of anything because itexists as print or television programs. My second assumption had been that we need a mechanism to doan in-depth "cost/benefit" analysis of new technologies beforethey are actually made available. But history reveals that thebenefits of new technologies are immediate and obvious whilethe costs are usually hidden and completely unpredictable. But in the rush to exploit new scientific insights we ignorethe fact that science must lookat nature in isolated bits andpieces. Knowledge gained in fragments does not yield an understandingof the greater context from which the pieces are taken. Witheach new discovery, we itch to apply it, forgetting how muchwe have yet to learn. Our attempts to manipulate nature areoften illusions of control created by our ability to overpowernature by brute strength. In the area of genetic engineering,this could be truly disastrous.     

Using Fluorescence Activated Cell Sorting to Examine Cell-Type-Specific Gene Expression in Rat Brain Tissue

The brain is comprised of four primary cell types including neurons, astrocytes, microglia and oligodendrocytes. Though they are not the most abundant cell type in the brain, neurons are the most widely studied of these cell types given their direct role in impacting behaviors. Other cell types in the brain also impact neuronal function and behavior via the signaling molecules they produce. Neuroscientists must understand the interactions between the cell types in the brain to better understand how these interactions impact neural function and disease. To date, the most common method of analyzing protein or gene expression utilizes the homogenization of whole tissue samples, usually with blood, and without regard for cell type. This approach is an informative approach for examining general changes in gene or protein expression that may influence neural function and behavior; however, this method of analysis does not lend itself to a greater understanding of cell-type-specific gene expression and the effect of cell-to-cell communication on neural function. Analysis of behavioral epigenetics has been an area of growing focus which examines how modifications of the deoxyribonucleic acid (DNA) structure impact long-term gene expression and behavior; however, this information may only be relevant if analyzed in a cell-type-specific manner given the differential lineage and thus epigenetic markers that may be present on certain genes of individual neural cell types. The Fluorescence Activated Cell Sorting (FACS) technique described below provides a simple and effective way to isolate individual neural cells for the subsequent analysis of gene expression, protein expression, or epigenetic modifications of DNA. This technique can also be modified to isolate more specific neural cell types in the brain for subsequent cell-type-specific analysis.     

Coadaptation: a unifying principle in evolutionary thermal biology

Over the last 50 yr, thermal biology has shifted from a largely physiological science to a more integrated science of behavior, physiology, ecology, and evolution. Today, the mechanisms that underlie responses to environmental temperature are being scrutinized at levels ranging from genes to organisms. From these investigations, a theory of thermal adaptation has emerged that describes the evolution of thermoregulation, thermal sensitivity, and thermal acclimation. We review and integrate current models to form a conceptual model of coadaptation. We argue that major advances will require a quantitative theory of coadaptation that predicts which strategies should evolve in specific thermal environments. Simply combining current models, however, is insufficient to understand the responses of organisms to thermal heterogeneity; a theory of coadaptation must also consider the biotic interactions that influence the net benefits of behavioral and physiological strategies. Such a theory will be challenging to develop because each organism's perception of and response to thermal heterogeneity depends on its size, mobility, and life span. Despite the challenges facing thermal biologists, we have never been more pressed to explain the diversity of strategies that organisms use to cope with thermal heterogeneity and to predict the consequences of thermal change for the diversity of communities.     

Spread of costly prestige-seeking behavior by social learning

Mathematical and simulation models of cultural transmission in a population where individuals may differ in their social status are developed. High-status individuals are assumed to be more influential to others but no more fertile or viable than low-status individuals. Analysis of the models suggests that culturally transmitted values, beliefs, and preferences that cause individuals to engage in prestige-seeking behavior can sometimes invade the population, even if that behavior reduces the net reproductive success of the prestige seekers. It is argued that some of the seemingly maladaptive behaviors observed in human societies may be a result of cultural evolution based on the human capacity for social learning, rather than a product of the "time lag" before the evolutionary modification of the human predisposition in response to the recent drastic changes in the environment.     

Memory in microbes: quantifying history-dependent behavior in a bacterium

Memory is usually associated with higher organisms rather than bacteria. However, evidence is mounting that many regulatory networks within bacteria are capable of complex dynamics and multi-stable behaviors that have been linked to memory in other systems. Moreover, it is recognized that bacteria that have experienced different environmental histories may respond differently to current conditions. These "memory" effects may be more than incidental to the regulatory mechanisms controlling acclimation or to the status of the metabolic stores. Rather, they may be regulated by the cell and confer fitness to the organism in the evolutionary game it participates in. Here, we propose that history-dependent behavior is a potentially important manifestation of memory, worth classifying and quantifying. To this end, we develop an information-theory based conceptual framework for measuring both the persistence of memory in microbes and the amount of information about the past encoded in history-dependent dynamics. This method produces a phenomenological measure of cellular memory without regard to the specific cellular mechanisms encoding it. We then apply this framework to a strain of Bacillus subtilis engineered to report on commitment to sporulation and degradative enzyme (AprE) synthesis and estimate the capacity of these systems and growth dynamics to 'remember' 10 distinct cell histories prior to application of a common stressor. The analysis suggests that B. subtilis remembers, both in short and long term, aspects of its cell history, and that this memory is distributed differently among the observables. While this study does not examine the mechanistic bases for memory, it presents a framework for quantifying memory in cellular behaviors and is thus a starting point for studying new questions about cellular regulation and evolutionary strategy.     

Individuals and society in anthropological theory

Conclusion Though relatively little direct attention has been given by Marxist anthropologists to a theory of individual behavior and thought in relation to societal processes, the above partial summary indicates the wealth of insight that is available for elaborating such a theory. In addition, there are of course significant developments in the field of psychology, notably the attention to activity as central to individual personality [], the renewed concern with levels of integration theory [], and the burgeoning interest in Vygotsky's writings on language, thought, and culture []. There are also the continuing attempts to locate Freud's positive contributions in a historical materialist frame [].Where, then, is psychological anthropology? As always, producing a richness of suggestive materials — such as those on varying conceptions of the self — but, as a glance at the pages of Ethos will show, unfortunately not engaged in fundamental theoretical innovation. By way of illustration, let me cite Spindler's The Making of Psychological Anthropology, a collection of articles by major figures, past and present. Spindler's introductory essay is thoughtful; always the teacher, he presents with consideration and modesty the history of the field, the disfavor into which it fell (in large part due to the methodlogical travesties of national character studies), and its stubborn persistence (following from the pervasive interest in the psychological dimension that has always characterized cultural anthropology). He summarizes ongoing problems as perceived from within the field, and as the major difficulty to be overcome pinpoints cultural overdeterminism and its inadequacy for explaining variations. The solution? Not the necessity of respecting history and focussing on how individuals variously understand and relate (according to their individual histories) to the established structures whereby particular societies produce, allocate, and consume basic goods, and how they variously respond to disjunctions in these structures even as they reproduce them. Instead Spindler writes, ... if we are to escape the double bind of our cultural overdeterminism, we are going to have to go beyond culture and even ecology, to biochemistry, to physiology and neurology, to genetics — to biology in the broadest sense of the term [].In closing, let me say to the reader, do not simply turn away in dismay. One must conclude that it is imperative to continue to build a solid alternative theory of relations among individual behaviors, individual understandings, cultural values, and societal processes, or, in other words, to replace a non-historical and essentially biological paradigm with a dialectical and materialist view of human action.Eleanor Leacock is Professor of Anthropology and Chair at the City College, City University of New York.

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Behavioral plasticity in C. elegans: paradigms,circuits, genes

Life in the soil is an intellectual and practical challenge that the nematode Caenorhabditis elegans masters by utilizing 302 neurons. The nervous system assembled by these 302 neurons is capable of executing a variety of behaviors, some of respectable complexity. The simplicity of the nervous system, its thoroughly characterized structure, several sets of well-defined behaviors, and its genetic amenability combined with its isogenic background make C. elegans an attractive model organism to study the genetics of behavior. This review describes several behavioral plasticity paradigms in C. elegans and their underlying neuronal circuits and then goes on to review the forward genetic analysis that has been undertaken to identify genes involved in the execution of these behaviors. Lastly, the review outlines how reverse genetics and genomic approaches can guide the analysis of the role of genes in behavior and why and how they will complement the forward genetic analysis of behavior.