This volume provides a broad overview of issues in the philosophy of behavioral biology, covering four main themes: genetic, developmental, evolutionary, and neurobiological explanations of behavior. It is both interdisciplinary and empirically informed in its approach, addressing philosophical issues that arise from recent scientific findings in biological research on human and non-human animal behavior. Accordingly, it includes papers by professional philosophers and philosophers of science, as well as practicing scientists. Much of the work in this volume builds on (...) presentations given at the international conference, “Biological Explanations of Behavior: Philosophical Perspectives”, held in 2008 at the Leibniz Universität Hannover in Germany. The volume is intended to be of interest to a broad range of audiences, which includes philosophers (e.g., philosophers of mind, philosophers of biology, and metaethicists), as well as practicing scientists, such as biologists or psychologists whose interests relate to biological explanations of behavior. (shrink)

Different applications of synthetic biology are alike in that their possible negative consequences are highly uncertain, potentially catastrophic, and perhaps irreversible; therefore, they are also alike in that public attitudes about them are fertile ground for behavioral economic phenomena. Findings from behavioral economics suggest that people may not respond to such applications according to the normal rules of economic evaluation, by which the value of an outcome is multiplied by the mathematical probability that the outcome will occur. (...) Possibly, then, synthetic biology applications challenge the normative postulates of the standard approach, too.I want to first consider how some of the phenomena described by behavioral economists—and behavioral scientists more broadly—might affect people's perceptions of the uncertainties associated with synthetic biology. My analysis will be far from complete, however, because behavioral economics is essentially the study of human behavior, and thus its reach is potentially vast and its development longstanding and ongoing. Nonetheless, I hope to give an indicative perspective on how some aspects of behavioral economics might affect the assessment and perceived acceptability of synthetic biology. I will then consider the issue of agency. Should policy‐makers respect people's reactions to synthetic biology when those reactions are known to be driven by behavioral economic phenomena rather than following the normative postulates of rational choice theory? Or should policy‐makers dismiss these reactions as inherently biased? I will argue that the normative force of these human reactions (probably) depends on phenomenon and context. (shrink)

Altruism may be learned (behavioral evolution) in a way similar to that proposed in the target article for its biological evolution. Altruism (over social space) corresponds to self-control (over time). In both cases, one must learn to ignore the rewards to a particular (person or moment) and behave to maximize the rewards to a group (of people or moments).

It has been claimed that the intentional stance is necessary to individuate behavioral traits. This thesis, while clearly false, points to two interesting sets of problems concerning biological explanations of behavior: The first is a general in the philosophy of science: the theory-ladenness of observation. The second problem concerns the principles of trait individuation, which is a general problem in philosophy of biology. After discussing some alternatives, I show that one way of individuating the behavioral traits of (...) an organism is by a special use of the concept of biological function, as understood in an enriched causal role (not selected effect) sense. On this view, a behavioral trait is essentially a special kind of regularity, namely a regularity that is produced by some regulatory mechanism. Regulatory mechanisms always require goal states, which can only be provided by functional considerations. As an example from actual (as opposed to folk) science, I examine the case of social behavior in nematodes. I show that the attempt to explain this phenomenon actually transformed it. This supports the view that scientific explanation does not explain an explanandum phenomenon that is given prior to the explanation; rather, the explanandum is changed by the explanation. This means that there could be a plurality of stances that have some heuristic value initially, but which will be abandoned in favor of a functional characterization eventually. (shrink)

In this paper, I review arguments that have been offered in favor of the view that humans' art and/or aesthetic behaviors are (in part) a product of our biologically evolved human nature, either as adaptations in their own right or as incidental byproducts of adaptations with non-art and non-aesthetic functions. I present an overview of the main positions and options, critically evaluate their strengths and weaknesses, and outline their presuppositions.

The field of synthetic biology is looking forward engineering framework for safely designing reliable de-novo biological functions. In this undertaking, Computer-Aided-Design environments should play a central role for facilitating the design. Although, CAD environment is widely used to engineer artificial systems the application in synthetic biology is still in its infancy. In this article we address the problem of the design of a high level language which at the core of CAD environment. More specifically the Gubs language is (...) a specification language used to describe the observations of the expected behaviour. The compiler appropriately selects components such that the observation of the synthetic biological function resulting to their assembly complies to the programmed behaviour. (shrink)

Various threshold Boolean networks, a formalism used to model different types of biological networks, can produce similar dynamics, i.e. share same behaviors. Among them, some are complex, others not. By computing both structural and behavioral complexities, we show that most TBNs are structurally complex, even those having simple behaviors. For this purpose, we developed a new method to compute the structural complexity of a TBN based on estimates of the sizes of equivalence classes of the threshold Boolean functions composing (...) the TBN. (shrink)

Behavioral biologists have long sought to link behavioral units (e.g., aggression, depression, sociopathy) with biological units (e.g., genes, neurotransmitters, hormones, neuroanatomical loci). These units, originally contrived for descriptive purposes, often lead to misunderstandings when they are reified for purposes of causal analysis. This genetic and biochemical explanation for sociopathy reflects such problems.

The field of synthetic biology is looking forward engineering framework for safely designing reliable de-novo biological functions. In this undertaking, Computer-Aided-Design environments should play a central role for facilitating the design. Although, CAD environment is widely used to engineer artificial systems the application in synthetic biology is still in its infancy. In this article we address the problem of the design of a high level language which at the core of CAD environment. More specifically the Gubs language is (...) a specification language used to describe the observations of the expected behaviour. The compiler appropriately selects components such that the observation of the synthetic biological function resulting to their assembly complies to the programmed behaviour. (shrink)

Activity anorexia illustrates selection of behavior at the biological, behavioral, and neural levels. Based on evolutionary history, food depletion increases the reinforcement value of physical activity that, in turn, decreases the reinforcement effectiveness of eating – resulting in activity anorexia. Neural opiates participate in the selection of physical activity during periods of food depletion.

Mitchell et al. propose that associative learning in humans and other animals requires the formation of propositions by means of conscious and controlled reasoning. This approach neglects important aspects of current thinking in evolutionary biology and neuroscience that support the claim that learning, here exemplified by fear learning, neither needs to be conscious nor controlled.

Should we think of our universe as law-governed and “clockwork”-like or as disorderly and “soup”-like? Alternatively, should we consciously and intentionally synthesize these two extreme pictures? More concretely, how deterministic are the postulated causes and how rigid are the modeled properties of the best statistical methodologies used in the biological and behavioral sciences? The charge of this entry is to explore thinking about causation in the temporal evolution of biological and behavioral systems. Regression analysis and path analysis are (...) simply explicated with reference to a thought experiment of painting three universes (clockwork, soup, and conscious) useful for imagining our actual universe. Attention to historical, structural, and mechanistic explanatory perspectives broadens the palette of methodologies available for analyzing determinism in, and explanation of, biological and behavioral systems. Each justified methodology provides a partial perspective on complex reality. Is a total explanation of any system ever possible, and what would it require? (shrink)

Recently something close to a consensus about the best way to naturalize the notion of biological function appears to be emerging. Nonetheless, teleological notions in biology remain controversial. In this paper we provide a naturalistic analysis for the notion of natural design. Many authors assume that natural design should be assimilated directly to function. Others find the notion problematic because it suggests that evolution is a directed process. We argue that both of these views are mistaken. Our naturalistic account (...) does not simply equate design with function. We argue that the distinction between function and design is important for understanding the evolution of the physical and behavioral traits of organisms. (shrink)

Activity anorexia illustrates selection of behavior at the biological, behavioral, and neural levels. Based on evolutionary history, food depletion increases the reinforcement value of physical activity that, in turn, decreases the reinforcement effectiveness of eating – resulting in activity anorexia. Neural opiates participate in the selection of physical activity during periods of food depletion.

This essay in the "anthropology of science" is about how cognition constrains culture in producing science. The example is folk biology, whose cultural recurrence issues from the very same domain-specific cognitive universals that provide the historical backbone of systematic biology. Humans everywhere think about plants and animals in highly structured ways. People have similar folk-biological taxonomies composed of essence-based species-like groups and the ranking of species into lower- and higher-order groups. Such taxonomies are not as arbitrary in structure (...) and content, nor as variable across cultures, as the assembly of entities into cosmologies, materials or social groups. (shrink)

Optimization models have often been useful in attempting to understand the adaptive significance of behavioral traits. Originally such models were applied to isolated aspects of behavior, such as foraging, mating, or parental behavior. In reality, organisms live in complex, ever-changing environments, and are simultaneously concerned with many behavioral choices and their consequences. This target article describes a dynamic modeling technique that can be used to analyze behavior in a unified way. The technique has been widely used in (...) class='Hi'>behavioral studies of insects, fish, birds, mammals, and other organisms. The models use biologically meaningful parameters and variables, and lead to testable predictions. Limitations arise because nature's complexity always exceeds our modeling capacity. (shrink)

Two critiques of simple adaptationism are distinguished: anti-adaptationism and extended adaptationism. Adaptationists and anti-adaptationists share the presumption that an evolutionary explanation should identify the dominant simple cause of the evolutionary outcome to be explained. A consideration of extended-adaptationist models such as coevolution, niche construction and extended phenotypes reveals the inappropriateness of this presumption in explaining the evolution of certain important kinds of features—those that play particular roles in the regulation of organic processes, especially behavior. These biological or behavioral ‘levers’ (...) are distinctively available for adaptation and exaptation by their possessors and for co-optation by other organisms. As a result they are likely to result from a distinctive and complex type of evolutionary process that conforms neither to simple adaptationist nor to anti-adaptationist styles of explanation. Many of the human features whose evolutionary explanation is most controversial belong to this category, including the female orgasm. (shrink)

This book is an accessible, research-based introduction to behavioral ethics. Often ethics education is incomplete because it ignores how and why people make moral decisions. But using exciting new research from fields such as behavioral psychology, cognitive science, and evolutionary biology, the study of behavioral ethics uncovers the common reasons why good people often screw up. Chapters coordinate with free online teaching resources from The University of Texas at Austin. Scientists have long studied the ways human (...) beings make decisions, but only recently have researchers begun to focus specifically on ethical decision making. Unlike philosophy and religion, which aim to tell people how to think and act about various moral issues, behavioral ethics research reveals the factors that influence how people really make moral decisions. Most people get into ethical trouble for doing obviously wrong things. Aristotle cannot help, but learning about behavioral ethics can. By supplementing traditional approaches to teaching ethics with a clear, accessible, detailed, and research-based introduction to behavioral ethics, beginners can quickly become familiar with the important elements of this new field. This book includes the bonus of being coordinated with Ethics Unwrapped-a free, online, educational resource featuring award-winning videos and teaching materials on a variety of behavioral ethics (and general ethics) topics. This book is a useful supplement for virtually every ethics course, and important in any course where incorporating practical ethics in an engaging manner is paramount. The content applies to every discipline-journalism, business ethics, medicine, legal ethics, and others-because its chief subject is the nature of moral decision making. Because the book is research-based yet accessibly written with interesting studies, it could be used in high schools, colleges, graduate schools, and industry. (shrink)

This selective review explores biologically inspired learning as a model for intelligent robot control and sensing technology on the basis of specific examples. Hebbian synaptic learning is discussed as a functionally relevant model for machine learning and intelligence, as explained on the basis of examples from the highly plastic biological neural networks of invertebrates and vertebrates. Its potential for adaptive learning and control without supervision, the generation of functional complexity, and control architectures based on self-organization is brought forward. Learning without (...) prior knowledge based on excitatory and inhibitory neural mechanisms accounts for the process through which survival-relevant or task-relevant representations are either reinforced or suppressed. The basic mechanisms of unsupervised biological learning drive synaptic plasticity and adaptation for behavioral success in living brains with different levels of complexity. The insights collected here point toward the Hebbian model as a choice solution for “intelligent” robotics and sensor systems. Keywords: Hebbian learning; synaptic plasticity; neural networks; self-organization; brain; reinforcement; sensory processing; robot control . (shrink)

Behavioral immune system describes psychological mechanisms that detect cues to infectious pathogens in the immediate environment, trigger disease-relevant responses and facilitate behavioral avoidance/escape. BIS activation elicits a perceived vulnerability to disease which can result in conformity with social norms. However, a response to superficial cues can result in aversive responses to people that pose no actual threat, leading to an aversion to unfamiliar others, and likelihood of prejudice. Pathogen-neutralizing behaviors, therefore, have implications for social interaction as well as (...) illness behaviors and responses to health communications. In this study, we investigate how PVD influences conformity, attitudes to other people and to lockdown regulations through the lens of the Reinforcement Sensitivity Theory. RST describes personality in terms of biologically-driven approach and avoidance motivations which support personal goals. Participants from the United Kingdom public completed an RST personality questionnaire and then read either coronavirus morbidity-mortality statistics and current United Kingdom government lifestyle regulations, just the regulations, or no information at all. They all completed the Perceived Vulnerability to Disease scale to assess BIS-relevant Germ Aversion and Perceived Infectability, followed by questions measuring social conformity, warmth toward others and attitudes toward lockdown measures. Significantly lower PVD scores were observed in the no-information condition, with the other conditions showing no difference. In terms of RST, approach behaviors related to goal-drive persistence work alongside fear in explaining conformity to social norms. Reward related approach behaviors partially explained warmth toward others, indicating that social rewards gained through interaction continue to be strong drivers of behavior. We found no role for RST traits in attitudes toward lockdown. Overall, coronavirus-related behavior is not driven purely by fear, but also by social and/or protection goals regulated by approach motivation. This study presents new insights into public perceptions of coronavirus and government regulated lifestyle restrictions, helping to explain social behaviors in terms of biologically driven mechanisms. Such understanding is vital if we are to successfully motivate public behavior to constrain spread of the virus. (shrink)

Biological individuality is a notoriously thorny topic for biologists and philosophers of biology. In this paper we argue that biological individuality presents multiple, interconnected questions for biologists and philosophers that together form a problem agenda. Using a case study of an interdisciplinary research group in ecology, behavioral and evolutionary biology, we claim that a debate on biological individuality that seeks to account for diverse practices in the biological sciences should be broadened to include and give prominence to (...) questions about uniqueness and temporality. We show that broadening the problem agenda of biological individuality draws attention to underrecognized philosophical issues and discussions and thereby organizes and enriches the existing debate. (shrink)

Biological accounts of art typically start with evolutionary, psychological or neurobiological theories. These approaches might be able to explain many of the similarities we see in art behaviors within and across human populations, but they don't obviously explain the differences we also see. Nor do they give us guidance on how we should engage with art, or the conceptual basis for art. A more comprehensive framework, based also on the ecology of art and how art behaviors get expressed in engineered (...) niches, can help us better understand the full range of art behaviors, their normativity and conceptual basis. (shrink)

Principles of Behavioral Economics, written by an acknowledged leader in the field, provides a comprehensive introduction to one of the most exciting areas of modern economics. It demonstrates how models of economic theory can be enriched by using interdisciplinary insights from psychology, sociology, evolutionary biology, and neuroscience to build the basis for a more empirically supported set of economic principles. Unique in its level of rigor and lucidity, the book highlights the important link between theoretical and empirical economics (...) by demonstrating the usefulness of a range of data sources such as observational data, lab data, survey data, and neuroeconomic data. This field-defining textbook argues that behavioral economics is not just a supplement to mainstream economics. Taking behavioral economics seriously requires a total rethink, and eventual transformation, of every area of economics. (shrink)

In On the Origin of Autonomy; A New look at the Major Transitions in Evolution, Bernd Rosslenbroich argues that an increase of the relative autonomy of individual organisms is one of the central large-scale patterns in evolution. I begin by presenting how Rosslenbroich understands the notion of autonomy in biology and how he correlates its increase to different sets of morphological, physiological, and behavioral characteristics of various biological systems. I briefly discuss his view of directionality in evolution with (...) respect to its ontological and epistemological status. Then, I discuss the advantages of his thesis, and especially the emphasis on the organism as the subject rather than the object of evolution. I argue in detail that his account could benefit from a more exact conception of autonomy, and I discuss six problems related to the operationalization of his concept as applied to various theoretical issues. (shrink)

Synthetic biology is a field of research that concentrates on the design, construction, and modification of new biomolecular parts and metabolic pathways using engineering techniques and computational models. By employing knowledge of operational pathways from engineering and mathematics such as circuits, oscillators, and digital logic gates, it uses these to understand, model, rewire, and reprogram biological networks and modules. Standard biological parts with known functions are catalogued in a number of registries (e.g. Massachusetts Institute of Technology Registry of Standard (...) Biological Parts). Biological parts can then be selected from the catalogue and assembled in a variety of combinations to construct a system or pathway in a microbe. Through the innovative re-engineering of biological circuits and the optimization of certain metabolic pathways, biological modules can be designed to reprogram organisms to produce products or behaviors. Synthetic biology is what is known as a “platform technology”. That is, it generates highly transferrable theoretical models, engineering principles, and know-how that can be applied to create potential products in a wide variety of industries. Proponents suggest that applications of synthetic biology may be able to provide scientific and engineered solutions to a multitude of worldwide problems from health to energy. Synthetic biology research has already been successful in constructing microbial products which promise to offer cheaper pharmaceuticals such as the antimalarial synthetic drug artemisinin, engineered microbes capable of cleaning up oil spills, and the engineering of biosensors that can detect the presence of high concentrations of arsenic in drinking water. One of the potential benefits of synthetic biology research is in its application to biofuel production. It is this application which is the focus of this entry. The term “biofuel” has referred generally to all liquid fuels that are sourced from plant or plant byproducts and are used for energy necessary for transportation vehicles (Thompson 2012). Biofuels that are produced using synthetic biological techniques re-engineer microbes into biofuel factories are a subset of these. (shrink)

Erect posture and large brain are two of the most significant anatomical traits that distinguish us from nonhuman primates. But humans are also different from chimpanzees and other animals, and no less importantly, in their behavior, both as individuals and socially. Distinctive human behavioral attributes include tool-making and technology; abstract thinking, categorizing, and reasoning; symbolic (creative) language; self-awareness and death-awareness; science, literature, and art; legal codes, ethics and religion; complex social organization and political institutions. These traits may all be (...) said to be components of human culture, a distinctively human mode of adaptation to the environment that is far more versatile and successful than the biological mode. Cultural adaptation is more effective than biological adaptation because its innovations are directed, rather than random mutations; because it can be transmitted "horizontally", rather than only "vertically", to descendants; and because cultural heredity is Lamarckian, rather than Mendelian, so that acquired characteristics can be inherited. I explore ethics as a distinctive human trait. The question whether ethical behavior is biologically determined may refer either to the capacity for ethics (i.e., the proclivity to judge human actions as either right or wrong), or to the moral norms accepted by human beings for guiding their actions. I will propose: (1) that the capacity for ethics is a necessary attribute of human nature; and (2) that moral norms are products of cultural evolution, not of biological evolution. (shrink)

Preface by Daniel C. Dennett Beginning with a general theory of function applied to body organs, behaviors, customs, and both inner and outer representations, ...

Living systems employ several mechanisms and behaviors to achieve robustness and maintain themselves under changing internal and external conditions. Regulation stands out from them as a specific form of higher-order control, exerted over the basic regime responsible for the production and maintenance of the organism, and provides the system with the capacity to act on its own constitutive dynamics. It consists in the capability to selectively shift between different available regimes of self-production and self-maintenance in response to specific signals and (...) perturbations, due to the action of a dedicated subsystem which is operationally distinct from the regulated ones. The role of regulation, however, is not exhausted by its contribution to maintain a living system’s viability. While enhancing robustness, regulatory mechanisms play a fundamental role in the realization of an autonomous biological organization. Specifically, they are at the basis of the remarkable integration of biological systems, insofar as they coordinate and modulate the activity of distinct functional subsystems. Moreover, by implementing complex and hierarchically organized control architectures, they allow for an increase in structural and organizational complexity while minimizing fragility. Finally, they endow living systems, from their most basic unicellular instances, with the capability to control their own internal dynamics to adaptively respond to specific features of their interaction with the environment, thus providing the basis for the emergence of minimal forms of cognition. (shrink)

The question whether ethical behavior is biologically determined may refer either to the capacity for ethics (i.e., the proclivity to judge human actions as either right or wrong), or to the moral norms accepted by human beings for guiding their actions. I herein propose: (1) that the capacity for ethics is a necessary attribute of human nature; and (2) that moral norms are products of cultural evolution, not of biological evolution. Humans exhibit ethical behavior by nature because their biological makeup (...) determines the presence of three necessary conditions for ethical behavior: (i) the ability to anticipate the consequences of one’s own actions; (ii) the ability to make value judgments; and (iii) the ability to choose between alternative courses of action. Ethical behavior came about in evolution not because it is adaptive in itself, but as a necessary consequence of man’s eminent intellectual abilities, which are an attribute directly promoted by natural selection. That is, morally evolved as an exaptation, not as an adaptation. Since Darwin’s time there have been evolutionists proposing that the norms of morality are derived from biological evolution. Sociobiologists represent the most recent and most subtle version of that proposal. The sociobiologists' argument is that human ethical norms are sociocultural correlates of behaviors fostered by biological evolution. I argue that such proposals are misguided and do not escape the naturalistic fallacy. The isomorphism between the behaviors promoted by natural selection and those sanctioned by moral norms exist only with respect to the consequences of the behaviors; the underlying causations are completely disparate. (shrink)

No single theory so far proposed gives a wholly satisfactory account of the origin and maintenance of bird-song dialects. This failure is the consequence of a weak comparative literature that precludes careful comparisons among species or studies, and of the complexity of the issues involved. Complexity arises because dialects seem to bear upon a wide range of features in the life history of bird species. We give an account of the principal issues in bird-song dialects: evolution of vocal learning, experimental (...) findings on song ontogeny, dialect descriptions, female and male reactions to differences in dialect, and population genetics and dispersal.We present a synthetic theory of the origin and maintenance of song dialects, one that accommodates most of the different systems reported in the literature. The few data available suggest that large, regional dialect populations are genetically differentiated; this pattern is correlated with reduced dispersal between dialects, assortative mating by females, and male-male exclusion. At the same time, “subdialects” may be formed within regional dialects. Subdialect clusters are usually small and may represent vocal mimicry among a few adjacent territorial males. The relative importance of genetic and social adaptation may contribute to the emergence of subdialects; their distinctiveness may be correlated with the degree of polygyny, for example. Thus, subdialect formation is linked to one theory of the evolution of repertoire size, but data are too fragmentary to examine this idea critically. (shrink)

In contrast to the “normativist” view, “naturalist” theorists claim that the concept of health refers to natural or normal states and propose different characterizations of healthy and diseased conditions that are meant to be objectivist and biologically grounded. In this article, we examine the core concept of these naturalist accounts of disease, i.e., the concept of biological malfunction, and develop a new formulation of the notion of malfunction following the recent organizational approach to functions in the philosophy of biology. (...) We focus on the notions of adaptive regulation and functional presupposition to develop a new conceptual framework that justifies the ascription of malfunctional behaviors to biological systems according to the embodied normativity of biological organizations. (shrink)

This volume reviews examples and notions of robustness at several levels of biological organization. It tackles many philosophical and conceptual issues and casts an outlook on the future challenges of robustness studies in the context of a practice-oriented philosophy of science. The focus of discussion is on concrete case studies. These highlight the necessity of a level-dependent description of robust biological behaviors.Experts from the neurosciences, biochemistry, ecology, biology, and the history and the philosophy of life sciences provide a multiplex (...) perspective on the topic. Contributions span from protein folding, to cell-level robustness, to organismal and developmental robustness, to sensorimotor systems, up to the robustness of ecological systems.Several chapters detail neurobiological case-studies. The brain, the poster child of plasticity in biology, offers multiple examples of robustness. Neurobiology explores the importance of temporal organization and multiscalarity in making this robustness-with-plasticity possible. The discussion also includes structures well beyond the brain, such as muscles and the complex feedback loops involved in the peculiar robustness of music perception. Overall, the volume grounds general reflections upon concrete case studies, opening to all the life sciences but also to non-biological and bio-inspired fields such as post-modern engineering. It will appeal to researchers, students, as well as non-expert readers. (shrink)

A common reductionist assumption is that macro-scale behaviors can be described "bottom-up" if only sufficient details about lower-scale processes are available. The view that an "ideal" or "fundamental" physics would be sufficient to explain all macro-scale phenomena has been met with criticism from philosophers of biology. Specifically, scholars have pointed to the impossibility of deducing biological explanations from physical ones, and to the irreducible nature of distinctively biological processes such as gene regulation and evolution. This paper takes a step (...) back in asking whether bottom-up modeling is feasible even when modeling simple physical systems across scales. By comparing examples of multi-scale modeling in physics and biology, we argue that the “tyranny of scales” problem presents a challenge to reductive explanations in both physics and biology. The problem refers to the scale-dependency of physical and biological behaviors that forces researchers to combine different models relying on different scale-specific mathematical strategies and boundary conditions. Analyzing the ways in which different models are combined in multi-scale modeling also has implications for the relation between physics and biology. Contrary to the assumption that physical science approaches provide reductive explanations in biology, we exemplify how inputs from physics often reveal the importance of macro-scale models and explanations. We illustrate this through an examination of the role of biomechanics modeling in developmental biology. In such contexts, the relation between models at different scales and from different disciplines is neither reductive nor completely autonomous, but interdependent. (shrink)

A biological neuroscientific theory must acknowledge that the function of a neurological system is to produce behaviors that promote survival. Thus, unlike what Gold & Stoljar claim, function and behavior are the province of neurobiology and cannot be relegated to the field of psychological phenomena, which would then trivialize the radical doctrine if accepted. One possible advantage of adopting such a (correctly revised) radical doctrine is that it might ultimately produce a successful, evolutionarily based, theory of mind.

As soon as ethology's status diminished in the early 1970s, it was confronted with two successor disciplines, sociobiology and behavioral ecology. They were able to challenge ethology because it no longer provided markers of strong disciplinarity such as theoretical coherence, leading figures and a clear identity. While behavioral ecology developed organically out of the UK ethological research community into its own disciplinary standing, sociobiology presented itself as a US competitor to the ethological tradition. I will show how (...) class='Hi'>behavioral ecology took the role of legitimate heir to ethology by rebuilding a theoretical core and an intellectual sense of community, while sociobiology failed to use its public appeal to reach disciplinary status. Meanwhile, ethology changed its disciplinary identity to encompass all biological studies of animal behavior. (shrink)

It’s recently been argued that biological fitness can’t change over the course of an organism’s life as a result of organisms’ behaviors. However, some characterizations of biological function and biological altruism tacitly or explicitly assume that an effect of a trait can change an organism’s fitness. In the first part of the paper, I explain that the core idea of changing fitness can be understood in terms of conditional probabilities defined over sequences of events in an organism’s life. The result (...) is a notion of “conditional fitness” which is static but which captures intuitions about apparent behavioral effects on fitness. The second part of the paper investigates the possibility of providing a systematic foundation for conditional fitness in terms of spaces of sequences of states of an organism and its environment. I argue that the resulting “organism–environment history conception” helps unify diverse biological perspectives, and may provide part of a metaphysics of natural selection. (shrink)

Philosophers have traditionally assumed that the difference between active and passive movement could be explained by the presence or absence of an intention in the mind of the agent. This assumption has led to the neglect of many interesting active behaviors that do not depend on intentions, including the "mindless" actions of humans and the activities of non-human animals. In this book Jones offers a broad account of agency that unifies these cases. The book addresses a range of questions, including: (...) When are movements properly attributed to whole agents, rather than to their parts? What does it mean for an agent to guide its action? What distinguishes agents from other complex systems? What is the relationship between action and adaptive behavior? And why might the study of living systems be the key to understanding agency? This book makes an important contribution to current philosophical debate on the nature and origins of agency. It defines action as a uniquely biological process and recasts human intentional action as a specialized case of a broader and more common phenomenon than has been previously assumed. Uniting findings from philosophy, cognitive science, psychology, biology, computer science, complexity theory and ethology, this book will be of interest to students and scholars working in these areas. (shrink)

Values have a profound influence on the behaviour of all people, scientists included. Biodiversity is studied by ecologists, like myself, most of whom align with the “mission-driven” field of conservation biology. The mission involves the protection of biodiversity, and a set of contextual values including the beliefs that biological diversity and ecological complexity are good and have intrinsic value. This raises concerns that the scientific process might be influenced by biases toward outcomes that are aligned with these values. Retrospectively, (...) I have identified such biases in my own work, resulting from an implicit assumption that organisms that are not dependent on natural habitats effectively do not count in biodiversity surveys. Finding that anthropogenic forest disturbance reduces the diversity of plant species dependent on shady forests can thus be falsely equated with more general biodiversity loss. Disturbance might actually increase overall plant diversity. In this paper I ask whether ecologists share values that are unrepresentative of broader society, I discuss examples of potential value-driven biases in biodiversity science, and I present some hypotheses from behavioral economics on possible psychological underpinnings of shared values and preferences among ecologists. (shrink)

ABSTRACT:Biological, brain, and behavioral sciences offer strong and growing support for the virtue ethics account of moral judgment and ethical behavior in business organizations. The acquisition of moral agency in business involves the recognition, refinement, and habituation through the processes of reflexion and reflection of a moral sense encapsulated in innate modules for compassion, hierarchy, reciprocity, purity, and affiliation adaptive for communal life both in ancestral and modern environments. The genetic and neural bases of morality exist independently of institutional (...) frameworks and social structures. The latter not only shape moral behaviors within circumscribed limits, they also imply a plurality and compartmentalization of roles which may enable or impede the habituation of virtue. Becoming a virtuous agent entails the practical refinement of predispositionsin situas a member of a community of practitioners rather than entailing a normative ethical educational project seeking an intellectual resolution of abstract moral questions. (shrink)

The distinction between phenomenal (P) and access (A) consciousness arises from the battle between biological and computational approaches to the mind. If P = A, the computationalists are right; but if not, the biological nature of P yields its scientific nature.

At a time when both scholars and the public demand explanations and answers to key economic problems that conventional approaches have failed to resolve, this groundbreaking handbook of original works by leading behavioral economists offers the first comprehensive articulation of behavioral economics theory. Borrowing from the findings of psychologists, sociologists, political scientists, legal scholars, and biologists, among others, behavioral economists find that intelligent individuals often tend not to behave as effectively or efficiently in their economic decisions as (...) long held by conventional wisdom. The manner in which individuals actually do behave critically depends on psychological, institutional, cultural, and even biological considerations. "Handbook of Contemporary Behavioral Economics" includes coverage of such critical areas as the Economic Agent, Context and Modeling, Decision Making, Experiments and Implications, Labor Issues, Household and Family Issues, Life and Death, Taxation, Ethical Investment and Tipping, and Behavioral Law and Macroeconomics. Each contribution includes an extensive bibliography. (shrink)

Although there is no in-principle impediment to an EvoDevo of behavior, such an endeavor is not as straightforward as one might think; many of the key terms and concepts used in EvoDevo are tailored to suit its traditional focus on morphology, and are consequently difficult to apply to behavior. In this light, the application of the EvoDevo conceptual toolkit to the behavioral domain requires the establishment of a set of tractable concepts that are readily applicable to behavioral characters. (...) Here, I begin the type of theoretical work that needs to be undertaken in order to achieve this, focusing in particular on the key concept of “novelty.” Building on existing criteria used for the identification of behavioral homology from behavioral ecology, I develop a set of operational criteria for identifying novelty in the behavioral domain. These criteria provide a conceptual foundation for the study of novelty in behavioral traits. (shrink)

The role of experience in the process of behavioral refinement has been undertheorized by philosophers of neuroscience and neuroscientists. By examining sleep studies in behavioral neurobiology, I show that scientists frequently invoke a variety of lived experiences—what I call experientially derived notions—to refine the behavior under investigation. Of note, these behaviors must remain sufficiently fuzzy throughout experimentation to permit refinement. The aim of this article is to recognize that neuroscientists’ use of lived experience necessarily helps refine behaviors and (...) render those behavioral terms relevant to human life. (shrink)