As an outcome of scientific thinking, evolutionary theories change in accordance with progress made. Here, we trace the evolution of evolutionary thought through seven different research schools that have arisen since the introduction of Darwin’s Origin of Species. These schools include Darwinism, the Modern Synthesis, Micro-, Meso-, and Macroevolution, Ecology, and Reticulate Evolution. The schools of Darwinism and the Modern Synthesis together lie at the foundation of the Neo-Darwinian paradigm. This paradigm has now expanded into the schools of Microevolution, Mesoevolution, (...) and Macroevolution that respectively study how genes, organisms, and species evolve over time. The school of Ecology instead investigates how genes, organisms, and species interact with one another and with the physical environment in space. The Eco-Evo-Devo paradigm attempts to integrate the tenets of Ecology with those of Micro-, Meso-, and Macroevolutionary research. The Reticulate Evolution school studies non-selectionist mechanisms such as symbiosis, symbiogenesis, lateral gene transfer, infective heredity, and hybridization. This paper outlines the major research directions and points of controversies that arise between these distinct schools. It furthermore situates the Extended Evolutionary Synthesis and Third Way of Evolution along these schools. The call for an Extended Evolutionary Synthesis originated in the Mesoevolution school, while scholars active in the Third Way of Evolution movement are developing ways to recognize the important contributions made by all evolution schools. (shrink)

The so-called Baldwin Effect generally says how learning, as a form of ontogenetic adaptation, can influence the process of phylogenetic adaptation, or evolution. This idea has also been taken into computation in which evolution and learning are used as computational metaphors, including evolving neural networks. This paper presents a technique called evolving self-taught neural networks – neural networks that can teach themselves without external supervision or reward. The self-taught neural network is intrinsically motivated. Moreover, the self-taught neural network is the (...) product of the interplay between evolution and learning. We simulate a multi-agent system in which neural networks are used to control autonomous agents. These agents have to forage for resources and compete for their own survival. Experimental results show that the interaction between evolution and the ability to teach oneself in self-taught neural networks outperform evolution and self-teaching alone. More specifically, the emergence of an intelligent foraging strategy is also demonstrated through that interaction. Indications for future work on evolving neural networks are also presented. (shrink)

Daniel C. Dennett is a brilliant polemicist, famous for challenging unexamined orthodoxies. Over the last thirty years, he has played a major role in expanding our understanding of consciousness, developmental psychology, and evolutionary theory. And with such groundbreaking, critically acclaimed books as Consciousness Explained and Darwin's Dangerous Idea (a National Book Award and Pulitzer Prize finalist), he has reached a huge general and professional audience. In this new book, Dennett shows that evolution is the key to resolving the ancient problems (...) of moral and political freedom. Like the planet's atmosphere on which life depends, the conditions on which our freedom depends had to evolve, and like the atmosphere, they continue to evolve-and could be extinguished. According to Dennett, biology provides the perspective from which we can distinguish the varieties of freedom that matter. Throughout the history of life on this planet, an interacting web and internal and external conditions have provided the frameworks for the design of agents that are more free than their parts-from the unwitting gropings of the simplest life forms to the more informed activities of animals to the moral dilemmas that confront human beings living in societies. As in his previous books, Dennett weaves a richly detailed narrative enlivened by analogies as entertaining as they are challenging. Here is the story of how we came to be different from all other creatures, how our early ancestors mindlessly created human culture, and then, how culture gave us our minds, our visions, our moral problems-in a nutshell, our freedom. (shrink)

An extended argument that cognitive phenomena—perceiving, imagining, remembering—can be best explained in terms of an interface between contentless and content-involving forms of cognition. -/- Evolving Enactivism argues that cognitive phenomena—perceiving, imagining, remembering—can be best explained in terms of an interface between contentless and content-involving forms of cognition. Building on their earlier book Radicalizing Enactivism, which proposes that there can be forms of cognition without content, Daniel Hutto and Erik Myin demonstrate the unique explanatory advantages of recognizing that only some forms (...) of cognition have content while others—the most elementary ones—do not. They offer an account of the mind in duplex terms, proposing a complex vision of mentality in which these basic contentless forms of cognition interact with content-involving ones. -/- Hutto and Myin argue that the most basic forms of cognition do not, contrary to a currently popular account of cognition, involve picking up and processing information that is then used, reused, stored, and represented in the brain. Rather, basic cognition is contentless—fundamentally interactive, dynamic, and relational. In advancing the case for a radically enactive account of cognition, Hutto and Myin propose crucial adjustments to our concept of cognition and offer theoretical support for their revolutionary rethinking, emphasizing its capacity to explain basic minds in naturalistic terms. They demonstrate the explanatory power of the duplex vision of cognition, showing how it offers powerful means for understanding quintessential cognitive phenomena without introducing scientifically intractable mysteries into the mix. (shrink)

In recent years, biologists have increasingly been asking whether the ability to evolve — the evolvability — of biological systems, itself evolves, and whether this phenomenon is the result of natural selection or a by-product of other evolutionary processes. The concept of evolvability, and the increasing theoretical and empirical literature that refers to it, may constitute one of several pillars on which an extended evolutionary synthesis will take shape during the next few years, although much work remains to (...) be done on how evolvability comes about. (shrink)

In recent years, the concept of evolvability has been gaining in prominence both within evolutionary developmental biology (evo-devo) and the broader field of evolutionary biology. Despite this, there remains considerable disagreement about what evolvability is. This article offers a solution to this problem. I argue that, in focusing too closely on the role played by evolvability as an explanandum in evo-devo, existing philosophical attempts to clarify the evolvability concept have been overly narrow. Within evolutionary biology more (...) broadly, evolvability offers a robust explanation for the evolutionary trajectories of populations. Evolvability is an abstract, robust, dispositional property of populations, which captures the joint causal influence of their internal features on the outcomes of evolution (as opposed to the causal influence of selection, which is often characterized as external). When considering the nature of the physical basis of this disposition, it becomes clear that the many existing definitions of evolvability at play within evo-devo should be understood as capturing only aspects of a much broader phenomenon. 1 Introduction2 The Problem of Evolvability3 The Theoretical Role of Evolvability in Evolutionary Biology3.1 The explanatory targets of evolutionary biology3.2 Selection-based explanations3.3 Lineage explanations3.4 Evolvability-based explanations3.5 What properties must evolvability have?4 What Evolvability Really Is4.1 Making sense of ft4.2 Making sense of x and b5 What of the Limbs? The Power of E6 Conclusion. (shrink)

Scholarly opinions vary on what language is, how it evolved, and from where or what it evolved. Long considered uniquely human, today scholars argue for evolutionary continuity between human language and animal communication systems. But while it is generally recognized that language is an evolving communication system, scholars continue to debate from which species language evolved, and what behavioral and cognitive features are the precursors to human language. To understand the nature of protolanguage, some look for homologs in gene functionality, (...) brain areas, or anatomical structures such as the supralaryngeal vocal tract; others point toward primates, their gestural, vocal, multimodal, and in later evolving hominins also their pantomimic communication systems; and still others draw parallels between the musicality that characterizes language and the pitch found in the numerous sounds produced by animals. Accordingly, protolanguage theories today are multiple and diverse, and protolanguages might have also been diverse. This special issue on Evolving (Proto)Language/s for Lingua bundles several of the protolanguage theories that were put forward at the sixth edition of the Ways to Protolanguage conference series, held at the Calouste Gulbenkian Foundation in Lisbon, in 2019. Not aimed at surveying all the different ways there are to conceptualize, study, and model protolanguage/s, this issue provides interested readers with good overviews on the role played in current theorizing on protolanguage/s by (paleo)anthropology, genetics, physiology, developmental, evolutionary, ecological, and pragmatic research lines. (shrink)

In recent years, the concept of evolvability has been gaining in prominence both within evolutionary developmental biology (evo-devo) and the broader field of evolutionary biology. Despite this, there remains considerable disagreement about what evolvability is. This article offers a solution to this problem. I argue that, in focusing too closely on the role played by evolvability as an explanandum in evo-devo, existing philosophical attempts to clarify the evolvability concept have been overly narrow. Within evolutionary biology more (...) broadly, evolvability offers a robust explanation for the evolutionary trajectories of populations. Evolvability is an abstract, robust, dispositional property of populations, which captures the joint causal influence of their internal features on the outcomes of evolution (as opposed to the causal influence of selection, which is often characterized as external). When considering the nature of the physical basis of this disposition, it becomes clear that the many existing definitions of evolvability at play within evo-devo should be understood as capturing only aspects of a much broader phenomenon. 1 Introduction2 The Problem of Evolvability3 The Theoretical Role of Evolvability in Evolutionary Biology 3.1 The explanatory targets of evolutionary biology 3.2 Selection-based explanations 3.3 Lineage explanations 3.4 Evolvability-based explanations 3.5 What properties must evolvability have?4 What Evolvability Really Is 4.1 Making sense of ft 4.2 Making sense of x and b5 What of the Limbs? The Power of E6 Conclusion. (shrink)

Evolving the Mind has two main themes: how ideas about the mind evolved in science; and how the mind itself evolved in nature. The mind came into physical science when it was realised, first, that it is the activity of a physical object, a brain, which makes a mind; and secondly, that our theories of nature are largely mental constructions, artificial extensions of an inner model of the world which we inherited from our distant ancestors. From both of these perspectives, (...) consciousness is the great enigma. If consciousness evolved, however, it is in some sense a material thing whatever else may be said of it. Physics, chemistry, molecular biology, brain function and evolutionary biology - almost the whole of science - is involved, and there can be no expert in all these fields. So the style of the book is simple, almost conversational. The excitement is that we seem to be close to a scientific theory of consciousness. (shrink)

“Buddhism Evolving” December 2021, Buddhism and Culture (a Korean-language Buddhist magazine sponsored by the Foundation for the Promotion of Korean Buddhism), Korea.

Our ability for scientific reasoning is a byproduct of cognitive faculties that evolved in response to problems related to survival and reproduction. Does this observation increase the epistemic standing of science, or should we treat scientific knowledge with suspicion? The conclusions one draws from applying evolutionary theory to scientific beliefs depend to an important extent on the validity of evolutionary arguments (EAs) or evolutionary debunking arguments (EDAs). In this paper we show through an analytical model that cultural transmission of scientific (...) knowledge can lead toward representations that are more truth-approximating or more efficient at solving science-related problems under a broad range of circumstances, even under conditions where human cognitive faculties would be further off the mark than they actually are. (shrink)

In the face of the increasing substitution of free speech for academic freedom, I argue for the distinctiveness and irreplaceability of the latter. Academic freedom has evolved alongside universities in order to support the important social purpose universities serve. Having limned this evolution, I compare academic freedom and free speech. This comparison reveals freedom of expression to be an individual freedom, and academic freedom to be a group-differentiated freedom with a social purpose. I argue that the social purpose of academic (...) freedom behooves an inclusive approach to group differentiation. (shrink)

We need to clarify at least four aspects of selfhood if we are to reach a better understanding of consciousness in general, and of its alternate states. First, how did we develop our self-centred psychophysiology? Second, can the four familiar lobes of the brain alone serve, if only as preliminary landmarks of convenience, to help understand the functions of our many self-referent networks? Third, what could cause one's former sense of self to vanish from the mental field during an extraordinary (...) state of consciousness? Fourth, when a person's physical and psychic self do drop off briefly, how has conscious experience then been transformed? In particular, what happens to that subject's personal sense of time? Our many-sided self arose in widely distributed brain networks. Since infancy, these self-oriented circuits have been over-conditioned by limbic biases. Selfhood then seems to have evolved along lines suggesting at least in shorthand the operations of a kind of ‘I-Me-Mine’ complex. But what happens when this egocentric triad briefly dissolves? Novel states of consciousness emerge. Two personally-observed states are discussed: insight-wisdom ; internal absorption. How do these two states differ phenomenologically? The physiological processes briefly suggested here emphasize shifts in deeper systems, and pivotal roles for thalamo-cortical interactions in the front and back of the brain. (shrink)

This article uses sim-max games to model perceptual categorization with the goal of answering the following question: To what degree should we expect the perceptual categories of biological actors to track properties of the world around them? I argue that an analysis of these games suggests that the relationship between real-world structure and evolved perceptual categories is mediated by successful action in the sense that organisms evolve to categorize together states of nature for which similar actions lead to similar results. (...) This conclusion indicates that both strongly realist and strongly antirealist views about perceptual categories are too simple. (shrink)

Traditional accounts of the role of learning in evolution have concentrated upon its capacity as a source of fitness to individuals. In this paper I use a case study from invasive species biology—the role of conditioned taste aversion in mitigating the impact of cane toads on the native species of Northern Australia—to highlight a role for learning beyond this—as a source of evolvability to populations. This has two benefits. First, it highlights an otherwise under-appreciated role for learning in evolution (...) that does not rely on social learning as an inheritance channel nor “special” evolutionary processes such as genetic accommodation (both of which many are skeptical about). Second, and more significantly, it makes clear important and interesting parallels between learning and exploratory behaviour in development. These parallels motivate the applicability of results from existing research into learning and learning evolution to our understanding of the evolution of evolvability more generally. (shrink)

The broad spectrum revolution brought greater dependence on skill and knowledge, and more demanding, often social, choices. We adopt Sterelny's account of how cooperative foraging paid the costs associated with longer dependency, and transformed the problem of skill learning. Scaffolded learning can facilitate cognitive control including suppression, whereas scaffolded exchange and trade, including inter-temporal exchange, can help develop resolve.

This review takes a historical perspective on concepts in the psychology of motivation and emotion, and surveys recent developments, debates and applications. Old debates over emotion have recently risen again. For example, are emotions necessarily subjective feelings? Do animals have emotions? I review evidence that emotions exist also as core psychological processes, which have objectively detectable features, and which can occur either with subjective feelings or without them. Evidence is offered also that studies of emotion in animals can give new (...) insights into human emotions. Beyond emotion, motivation concepts also have changed over decades, and debates still continue. Motivation was once thought in terms of aversive drives, and reward was thought of in terms of drive reduction. Motivation-as-drive concepts were largely replaced by motivation-as-incentive concepts, yet aversive drive concepts still occasionally surface in motivation neuroscience today. Among incentive motivation concepts, incentive salience is a core process, mediated by brain mesocorticolimbic systems (dopamine-related systems) and sometimes called ‘wanting’ (in quotation marks), to distinguish it from cognitive forms of desire (wanting without quotation marks). Incentive salience as ‘wanting’ is separable also from pleasure ‘liking’ for the same reward, which has important implications for several human clinical disorders. Ordinarily, incentive salience adds motivational urgency to cognitive desires, but ‘wanting’ and cognitive desires can dissociate in some conditions. Excessive incentive salience can cause addictions, in which excessive ‘wanting’ can diverge from cognitive desires. Conversely, lack of incentive salience may cause motivational forms of anhedonia in depression or schizophrenia, whereas a negatively-valenced form of ‘fearful salience’ may contribute to paranoia. Finally, negative ‘fear’ and ‘disgust’ have both partial overlap but also important neural differences. (shrink)

The field of eSports is undergoing a process of developing and evolving with irresistible forces. The process witnesses the ever-refreshing and hybrid meanings and definitions of Sports and eSports in the digital era of technology empowerment and advancing artificial intelligence. This paper calls us to re-construct the meanings and sporting values of eSports, re-evaluate the eSports landscape, going beyond the debate ‘Are eSports Sports?’ and move to re-examine the contextual nature and values of Sports and eSports, as well as their (...) interweaving relationships in contemporary society. It is of significance to explore the way in which the intelligent embodiment of eSports and the virtualisation of traditional sports integrate with each other, offering the potential for fitness and physical exercises and practices in real and virtual spaces. Meanwhile, crucial digital ethics issues are emerging in the field of eSports, potentially challenging and alerting the eSports industry to take timely measurements to maintain the Sport’s integrity. (shrink)

This paper uses sim-max games to model perceptual categorization with the goal of answering the following question: to what degree should we expect the perceptual categories of biological actors to track properties of the world around them? I will argue that an analysis of these games suggests that the relationship between real-world structure and evolved perceptual categories is mediated by successful action in the sense that organisms evolve to categorize together states of nature for which similar actions lead to similar (...) results. This conclusion indicates that both strongly realist and strongly anti-realist views about perceptual categories are too simple. (shrink)

Our ability for scientific reasoning is a byproduct of cognitive faculties that evolved in response to problems related to survival and reproduction. Does this observation increase the epistemic standing of science, or should we treat scientific knowledge with suspicion? The conclusions one draws from applying evolutionary theory to scientific beliefs depend to an important extent on the validity of evolutionary arguments (EAs) or evolutionary debunking arguments (EDAs). In this paper we show through an analytical model that cultural transmission of scientific (...) knowledge can lead toward representations that are more truth-approximating or more efficient at solving science-related problems under a broad range of circumstances, even under conditions where human cognitive faculties would be further off the mark than they actually are. (shrink)

In this paper I examine a dispositional property that has been receiving increased attention in biology, evolvability. First, I identify three compatible but distinct investigative approaches, distinguish two interpretations of evolvability, and treat the difference between dispositions of individuals versus populations. Second, I explore the relevance of philosophical distinctions about dispositions for evolvability, isolating the assumption that dispositions are intrinsically located. I conclude that some instances of evolvability cannot be understood as purely intrinsic to populations and (...) suggest alternative strategies for resolving this difficulty. (shrink)

A disposition or dispositional property is a capacity, ability, or potential to display or exhibit some outcome. Evolvability refers to a disposition to evolve. This chapter discusses why the dispositional nature of evolvability matters—why philosophical distinctions about dispositions can have scientific implications. To that end, we build a conceptual toolkit with vocabulary from prior philosophical analyses using a different disposition: protein foldability. We then apply this toolkit to address several methodological questions related to evolvability. What entities are (...) the bearers of evolvability? What features causally contribute to the disposition of evolvability? How does evolvability manifest? The various possible answers to these questions available from philosophical distinctions suggest key implications for why the concept of evolvability as a disposition is useful in evolutionary research. These include (1) securing scientific virtues (e.g., explanatory depth and generalization, prediction or retrodiction, and control or manipulation) and (2) fostering interdisciplinary collaboration through the coordination of definitional diversity and different types of inquiry. Together these facilitate concentration on a variety of research questions at different levels of organization and on distinct time scales, all of which should be expected for a complex dispositional property such as evolvability. (shrink)

Advances in the empirical sectors of biology are beginning to reveal evolvability as a major evolutionary process. Yet evolvability’s theoretical role is still intensely debated. Since its inception nearly thirty years ago, the evolvability research front has put a strong emphasis on the non-genetic mechanisms that influence the short-term evolvability of individuals within populations by causing phenotypic heterogeneity, such as developmental trait plasticity, phenotypic plasticity, modularity, the G-P map, robustness, and/or epigenetic variation. However, genetic evolvability (...) mechanisms such as mutation or recombination have a deeper history in evolutionary thought that is often overlooked by those in the evolvability research front, with recent evidence suggesting that species switch to genetic evolvability mechanisms when short-term evolvability strategies fail to relieve selective pressures. For this reason, a causal distinction must be made between genetic evolvability and the more recently emphasized non-genetic (or evo-devo) evolvability to allow for its maturation as a central explanatory concept. I conclude by arguing that the anachronisms of the scientific process are the main culprit behind recent divisions in biology and likely beyond. To streamline theoretical progress, we need to build a new science with new underlying philosophies like restricted pluralism. (shrink)

The concept of developmental constraint was at the heart of developmental approaches to evolution of the 1980s. While this idea was widely used to criticize neo-Darwinian evolutionary theory, critique does not yield an alternative framework that offers evolutionary explanations. In current Evo-devo the concept of constraint is of minor importance, whereas notions as evolvability are at the center of attention. The latter clearly defines an explanatory agenda for evolutionary research, so that one could view the historical shift from ‘developmental (...) constraint’ towards ‘evolvability’ as the move from a concept that is a mere tool of criticism to a concept that establishes a positive explanatory project. However, by taking a look at how the concept of constraint was employed in the 1980s, I argue that developmental constraint was not just seen as restricting possibilities (‘constraining’), but also as facilitating morphological change in several ways. Accounting for macroevolutionary transformation and the origin of novel form was an aim of these developmental approaches to evolution. Thus, the concept of developmental constraint was part of a positive explanatory agenda long before the advent of Evo-devo as a genuine scientific discipline. In the 1980s, despite the lack of a clear disciplinary identity, this concept coordinated research among paleontologists, morphologists, and developmentally inclined evolutionary biologists. I discuss the different functions that scientific concepts can have, highlighting that instead of classifying or explaining natural phenomena, concepts such as ‘developmental constraint’ and ‘evolvability’ are more important in setting explanatory agendas so as to provide intellectual coherence to scientific approaches. The essay concludes with a puzzle about how to conceptually distinguish evolvability and selection. (shrink)

Comparing engineering to evolution typically involves adaptationist thinking, where well-designed artifacts are likened to well-adapted organisms, and the process of evolution is likened to the process of design. A quite different comparison is made when biologists focus on evolvability instead of adaptationism. Here, the idea is that complex integrated systems, whether evolved or engineered, share universal principles that affect the way they change over time. This shift from adaptationism to evolvability is a significant move for, as I argue, (...) we can make sense of these universal principles without making any adaptationism claims. Furthermore, evolvability highlights important aspects of engineering that are ignored in the adaptationist debates. I introduce some novel engineering examples that incorporate these key neglected aspects, and use these examples to challenge some commonly cited contrasts between engineering and evolution, and to highlight some novel resemblances that have gone unnoticed. (shrink)

Humans possess great capacity for behavioral and cultural change, but our ability to manage change is still limited. This article has two major objectives: first, to sketch a basic science of intentional change centered on evolution; second, to provide examples of intentional behavioral and cultural change from the applied behavioral sciences, which are largely unknown to the basic sciences community.All species have evolved mechanisms of phenotypic plasticity that enable them to respond adaptively to their environments. Some mechanisms of phenotypic plasticity (...) count as evolutionary processes in their own right. The human capacity for symbolic thought provides an inheritance system having the same kind of combinatorial diversity as does genetic recombination and antibody formation. Taking these propositions seriously allows an integration of major traditions within the basic behavioral sciences, such as behaviorism, social constructivism, social psychology, cognitive psychology, and evolutionary psychology, which are often isolated and even conceptualized as opposed to one another.The applied behavioral sciences include well-validated examples of successfully managing behavioral and cultural change at scales ranging from individuals to small groups to large populations. However, these examples are largely unknown beyond their disciplinary boundaries, for lack of a unifying theoretical framework. Viewed from an evolutionary perspective, they are examples of managing evolved mechanisms of phenotypic plasticity, including open-ended processes of variation and selection.Once the many branches of the basic and applied behavioral sciences become conceptually unified, we are closer to a science of intentional change than one might think. (shrink)

Biologists and philosophers of biology have argued that learning rules that do not lead organisms to play evolutionarily stable strategies (ESSes) in games will not be stable and thus not evolutionarily successful. This claim, however, stands at odds with the fact that learning generalization---a behavior that cannot lead to ESSes when modeled in games---is observed throughout the animal kingdom. In this paper, I use learning generalization to illustrate how previous analyses of the evolution of learning have gone wrong. It has (...) been widely argued that the function of learning generalization is to allow for swift learning about novel stimuli. I show that in evolutionary game theoretic models learning generalization, despite leading to suboptimal behavior, can indeed speed learning. I further observe that previous analyses of the evolution of learning ignored the short term success of learning rules. If one drops this assumption, I argue, it can be shown that learning generalization will be expected to evolve in these models. I also use this analysis to show how ESS methodology can be misleading, and to reject previous justifications about ESS play derived from analyses of learning. (shrink)

Morality is often defined in opposition to the natural "instincts," or as a tool to keep those instincts in check. New findings in neuroscience, social psychology, animal behaviour, and anthropology have brought us back to the original Darwinian position that moral behaviour is continuous with the social behavior of animals, and most likely evolved to enhance the cooperativeness of society. In this view, morality is part of human nature rather than its opposite. This interdisciplinary volume debates the origin and working (...) of human morality within the context of science as well as religion and philosophy. Experts from widely different backgrounds speculate how morality may have evolved, how it develops in the child, and what science can tell us about its working and origin. They also discuss how to deal with the age-old facts-versus-values debate, also known as the naturalistic fallacy. The implications of this exchange are enormous, as they may transform cherished views on if and why we are the only moral species. (shrink)

'Insight' is not a very popular word in psychology or biology. Popular terms-like "intelligence", "planning", "complexity" or "cognitive"- have a habit of sprawling out to include everyone's favourite interpretation, and end up with such vague meanings that each new writer has to redefine them for use. Insight remains in everyday usage: as a down-to-earth, lay term for a deep, shrewd or discerning kind of understanding. Insight is a good thing to have, so it's important to find out how it evolved, (...) and that's what this book is about. Coming 20 years after publication of Richard Byrne's seminal book The Thinking Ape, Evolving Insight develops a new theory of the evolutionary origins of human abilities to understand the world of objects and other people. Defining mental representation and computation as 'insight', it reviews the evidence for insight in the cognition of animals. (shrink)

The social contracts theory claims that, in social exchange circumstances, human reasoning is not necessarily led by logic, but by certain evolved mental mechanisms that are useful for catching offenders. An emblematic experiment carried out with the intention to prove this thesis is the first experiment described by Fiddick, Cosmides, and Tooby in their paper of 2000. Lopez Astorga has questioned that experiment claiming that its results depend on an underlying conditional logical form not taken into account by Fiddick, Cosmides, (...) and Tooby. In this paper, I propose an explanation alternative to that of Lopez Astorga, which does not depend on logical forms and is based on the mental models theory. Thus, I conclude that this other alternative explanation is one more proof that the experiment in question does not demonstrate the fundamental thesis of the social contracts theory. (shrink)

This paper explores the connections between inheritance systems, evolvability and modularity. I argue that the transmission of symbiotic micro-organisms is an inheritance system, and one that is evolutionarily significant because symbionts generate biologically crucial aspects of their hosts’ organisation through modular developmental pathways. More specifically, I develop and defend five theses.

Despite accusations of irresponsibility and negativity, Jacques Derrida's deconstruction has had an immense influence on contemporary social, political and cultural critique. 'Evolving negativity' offers a preliminary explanation of this influence by tracing the philosophical 'family tree' that links deconstruction to German Critical Theory via the Frankfurt School. The paper explores the origins of a certain dynamic and productive notion of negativity in Hegel's dialectic and describes its 'evolution' in the works of Max Horkheimer and Theodor Adorno as a process of (...) de-determination that finds its culmination in Derrida's notion of 'différance'. Set free of its totalizing, teleological force, Derrida's negativity as 'différance' is compared with Hegel's more general and generative notion of Negativität. The paper concludes that for this branch of 'critical' thinking, to flourish in the shadow of Hegel means also to be continually reinventing his respect for difference and negativity, and transforming it to respond to the questions of the present. Key Words: Adorno • Critical Theory • deconstruction • Derrida • dialectic • différance • difference • Hegel • Horkheimer • negativity. (shrink)

Fieldworkers (FWs) are community members employed by research teams to support access to participants, address language barriers, and advise on culturally appropriate research conduct. The critical role that FWs play in studies, and the range of practical and ethical dilemmas associated with their involvement, is increasingly recognised. In this paper, we draw on qualitative observation and interview data collected alongside a six month basic science study which involved a team of FWs regularly visiting 47 participating households in their homes. The (...) qualitative study documented how relationships between field workers and research participants were initiated, developed and evolved over the course of the study, the shifting dilemmas FWs faced and how they handled them. Even in this one case study, we see how the complex and evolving relationships between fieldworkers and study participants had important implications for consent processes, access to benefits and mutual understanding and trust. While the precise issues that FWs face are likely to depend on the type of research and the context in which that research is being conducted, we argue that appropriate support for field workers is a key requirement to strengthen ethical research practice and for the long term sustainability of research programmes. (shrink)

This book describes the application of Artificial Life simulation to evolutionary scenarios of wide ethical interest, including the evolution of altruism, rape and abortion, providing a new meaning to “experimental philosophy”. The authors also apply evolutionary ALife techniques to explore contentious issues within evolutionary theory itself, such as the evolution of aging. They justify these uses of simulation in science and philosophy, both in general and in their specific applications here.Evolving Ethics will be of interest to researchers, enthusiasts, students and (...) interested lay readers in the fields of Artificial Life, philosophy of science, ethics, agent- and individual-based modeling in ecology and the social sciences, computer simulation, evolutionary biology, evolutionary psychology and the social sciences.Dr Steven Mascaro is a researcher in computer simulation and Artificial Life.Dr Kevin Korb is a Reader in the Clayton School of Information Technology, Monash University.Dr Ann Nicholson is an Associate Professor in the Clayton School of Information Technology, Monash University.Owen Woodberry is a researcher in the Clayton School of Information Technology, Monash University. (shrink)

The theme of this essay is rather simple, though its demonstration is not. It is that humans think reflexively or metamentally because -- and often in the forms in which -- they interpret each other. In this essay ‘metamental’ means ‘about mental’ and ‘reflexive mind’ means ‘a mind thinking about its own thoughts.’ To think reflexively or metamentally is to think about thoughts deliberately and explicitly, as in thinking that my current thoughts about metamentation are right. Thinking about thoughts requires (...) understanding thoughts as thoughts, as mental structures that represent; it also requires an ability to relate thoughts to other thoughts and to recognize such inter-thought relations. Since metamentation is essential to and uniquely distinctive of human minds, the idea that it originates in interpreting other minds can be encapsulated in the slogan that minds are minded because minds mind minds. This word play translates as: minds evolve into reflexive minds because they mind other minds -- where ‘minding other minds’ means interacting and bonding with other minds, being concerned or curious about them, representing their relations to the world, manipulating and using these relations for some purpose, and the like. All of this amounts (in my terminology) to interpreting other minds in social contexts of cooperation, communication, education, politics, and so on. It follows that intermental relations among individuals, handled by a distinct competence for interpretation, are essential to the evolution of abilities to represent intramental relations among thoughts, typical of a reflexive mind. I take ‘interpretation’ to be a convenient, short, and grammatically flexible label for what is known in philosophy as commonsense or folk psychology and in psychology as theory of mind, mindreading, or naive psychology. Interpretation is a cognitive rapport between an interpreter (she, in this book) and a subject (he), whereby she represents his mind-world relations, from the simplest, such as seeing.... (shrink)

Mesoudi et al. argue that the current inability to identify the means by which cultural traits are acquired does not debilitate their project to draw clear parallels between cultural and biological evolution. However, I suggest that cultural phenomena may be accounted for by biological processes, unless we can identify a cultural “genotype” that carries information from person to person independently of genes. (Published Online November 9 2006).

In a 1993 paper, I argued that empirical treatments of the epistemologyused by scientists in experimental work are too abstract in practice tocounter relativist efforts to explain the outcome of scientificcontroversies by reference to sociological forces. This was because, atthe rarefied level at which the methodology of scientists is treated byphilosophers, multiple mutually inconsistent instantiations of theprinciples described by philosophers are employed by contestingscientists. These multiple construals change within a scientificcommunity over short time frames, and these different versions ofscientific methodology (...) can determine the outcome of a controversy. Iillustrated with a comparatively detailed analysis of the methodologyused by biologists debating the existence of an entity called thebacterial mesosome between the mid-1950s and the mid-1970s. This 1993piece has drawn several critiques in the philosophical literature. Inthis present piece I respond to these critiques and argue that they failto address the core argument of the original paper, and I reflectfurther on the methodologies of philosophers of science pursuingempirical or `naturalistic' epistemology. (shrink)

This chapter connects the major transitions to evolvability and its evolution. It reviews a three-pulse model of the conditions that make the evolution of complexity possible. It specifically outlines the life up to the evolution of fully equipped prokaryote cells, the phase of microbial evolution, and the third phase that sees the evolution of complex development. It compares the prokaryote and multicellular evolvability. The deeply obscure problem of precellular evolution is also evaluated. This chapter shows that individual properties (...) of developmental mechanisms are significant to evolvability, but they are not all that is important. (shrink)