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

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)

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)

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, 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)

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.

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)

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)

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)

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)

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 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.

One way to express the most persistent part of the mind-body problem is to say that there is an “explanatory gap” between the physical and the mental. The gap is not usually taken to apply to all of the mental, but to subjective experience, the mind’s “qualitative” features, or what is now referred to as “phenomenal consciousness.” The “gap” formulation is due to Joseph Levine. He acknowledged the appeal of intuitions of separability between physical facts, of any kind we can (...) envisage, and this aspect of our mental lives. Subjective experience seems not to be the sort of thing that is just the physical under another guise. The immediate focus of Levine’s discussion was a family of arguments due to Saul Kripke. Kripke argued that some influential claims of mind-body identity could not be, as materialists claimed, contingent. If these identities are real then they are necessary. But we can clearly conceive that the mental and physical could come apart—an intuition that “identity theorists” conceded. Given that the identity is necessarily present if present at all, from the fact it is not necessary we can see it is absent. Kripke concluded that physicalism is false. Levine wanted to resist this. (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)

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)

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)

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)

We explicate representational content by addressing how representations that ex- plain intelligent behavior might be acquired through processes of Darwinian evo- lution. We present the results of computer simulations of evolved neural network controllers and discuss the similarity of the simulations to real-world examples of neural network control of animal behavior. We argue that focusing on the simplest cases of evolved intelligent behavior, in both simulated and real organisms, reveals that evolved representations must carry information about the creature’s environ- ments (...) and further can do so only if their neural states are appropriately isomor- phic to environmental states. Further, these informational and isomorphism rela- tions are what are tracked by content attributions in folk-psychological and cognitive scientific explanations of these intelligent behaviors. (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)

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)

Cooperation is common across nonhuman animal taxa, from the hunting of large game in lions to the harvesting of building materials in ants. Theorists have proposed a number of models to explain the evolution of cooperative behavior. These ultimate explanations, however, rarely consider the proximate constraints on the implementation of cooperative behavior. Here we review several types of cooperation and propose a suite of cognitive abilities required for each type to evolve. We propose that several types of cooperation, though theoretically (...) possible and functionally adaptive, have not evolved in some animal species because of cognitive constraints. We argue, therefore, that future modeling efforts and experimental investigations into the adaptive function of cooperation in animals must be grounded in a realistic assessment of the psychological ingredients required for cooperation. Such an approach can account for the puzzling distribution of cooperative behaviors across taxa, especially the seemingly unique occurrence of cooperation observed in our own species. (shrink)

The notion of “hierarchy” is one of the most commonly posited organizational principles in systems neuroscience. To this date, however, it has received little philosophical analysis. This is unfortunate, because the general concept of hierarchy ranges over two approaches with distinct empirical commitments, and whose conceptual relations remain unclear. We call the first approach the “representational hierarchy” view, which posits that an anatomical hierarchy of feed-forward, feed-back, and lateral connections underlies a signal processing hierarchy of input-output relations. Because the representational (...) hierarchy view holds that unimodal sensory representations are subsequently elaborated into more categorical and rule-based ones, it is committed to an increasing degree of abstraction along the hierarchy. The second view, which we call “topological hierarchy", is not committed to different representational functions or degrees of abstraction at different levels. Topological approaches instead posit that the hierarchical level of a part of the brain depends on how central it is to the pattern of connections in the system. Based on the current evidence, we argue that three conceptual relations between the two approaches are possible: topological hierarchies could substantiate the traditional representational hierarchy, conflict with it, or contribute to a plurality of approaches needed to understand the organization of the brain. By articulating each of these possibilities, our analysis attempts to open a conceptual space in which further neuroscientific and philosophical reasoning about neural hierarchy can proceed. (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)

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)

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)

I examine the extent to which Dennett’s account in Freedom Evolves might be construed as revisionist about free will or should instead be understood as a more traditional kind of compatibilism. I also consider Dennett’s views about philosophical work on free agency and its relationship to scientific inquiry, and I argue that extant philosophical work is more relevant to scientific inquiry than Dennett’s remarks may suggest.

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)

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)

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)

Social animals need to share space and resources, whether sexual partners, parents, or food. Humans, however, are unique in the way they share as they evolved to become Homo negotiatus; a species that is prone to bargain and to dispute the value of things until some agreement is reached. This evolution had far-reaching consequences on the specific makeup of human psychology – a psychology that has for trademark a compulsive preoccupation with the self in relation to others. I propose that (...) the understanding and sharing of intentions are probably the consequences of such evolution, and not its origins. (shrink)

Hierarchies occur widely in evolving self‐organizing ecological, biological, technological, and social networks, but detecting and comparing hierarchies is difficult. Here we present a metric and technique to quantitatively assess the extent to which self‐organizing directed networks exhibit a flow hierarchy. Flow hierarchy is a commonly observed but theoretically overlooked form of hierarchy in networks. We show that the ecological, neurobiological, economic, and information processing networks are generally more hierarchical than their comparable random networks. We further discovered that hierarchy degree has (...) increased over the course of the evolution of Linux kernels. Taken together, our results suggest that hierarchy is a central organizing feature of real‐world evolving networks, and the measurement of hierarchy opens the way to understand the structural regimes and evolutionary patterns of self‐organizing networks. Our measurement technique makes it possible to objectively compare hierarchies of different networks and of different evolutionary stages of a single network, and compare evolving patterns of different networks. It can be applied to various complex systems, which can be represented as directed networks. (shrink)

Commentary on "What Justifies the Allocation of Health Care Resources to Patients with Disorders of Consciousness?", Peterson, Aas and Wasserman.

The evolutionary circuit design is an approach allowing engineers to realize computational devices. The evolved computational devices represent a distinctive class of devices that exhibits a specific combination of properties, not visible and studied in the scope of all computational devices up till now. Devices that belong to this class show the required behavior; however, in general, we do not understand how and why they perform the required computation. The reason is that the evolution can utilize, in addition to the (...) “understandable composition of elementary components”, material-dependent constructions and properties of environment (such as temperature, electromagnetic field etc.) and, furthermore, unknown physical behaviors to establish the required functionality. Therefore, nothing is known about the mapping between an abstract computational model and its physical implementation. The standard notion of computation and implementation developed in computer science as well as in cognitive science has become very problematic with the existence of evolved computational devices. According to the common understanding, the evolved devices cannot be classified as computing mechanisms. (shrink)

Alexander Bird puts forward a modest version of anti-Humeanism about the non-fundamental, by providing an argument for the existence of a certain select class of non-fundamental but sparse dispositions: those that have an evolutionary function. I argue that his argument over-generates, so much so that the sparse–abundant distinction, and with it the tenet of his anti-Humean view, becomes obsolete. I suggest an alternative way of understanding anti-Humeanism in the non-fundamental realm, one which is not concerned with the existence of sparse (...) properties but with explanatory relations. (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)

This book explores the evolving nature of objectivity in the history of science and its implications for science education. It is generally considered that objectivity, certainty, truth, universality, the scientific method and the accumulation of experimental data characterize both science and science education. Such universal values associated with science may be challenged while studying controversies in their original historical context. The scientific enterprise is not characterized by objectivity or the scientific method, but rather controversies, alternative interpretations of data, ambiguity, and (...) uncertainty. Although objectivity is not synonymous with truth or certainty, it has eclipsed other epistemic virtues and to be objective is often used as a synonym for scientific. Recent scholarship in history and philosophy of science has shown that it is not the experimental data but rather the diversity / plurality in a scientific discipline that contributes toward understanding objectivity. History of science shows that objectivity and subjectivity can be considered as the two poles of a continuum and this dualism leads to a conflict in understanding the evolving nature of objectivity. The history of objectivity is nothing less than the history of science itself and the evolving and varying forms of objectivity does not mean that one replaced the other in a sequence but rather each form supplements the others. This book is remarkable for its insistence that the philosophy of science, and in particular that discipline’s analysis of objectivity as the supposed hallmark of the scientific method, is of direct value to teachers of science. Meticulously, yet in a most readable way, Mansoor Niaz looks at the way objectivity has been dealt with over the years in influential educational journals and in textbooks; it’s fascinating how certain perspectives fade, while basic questions show no sign of going away. There are few books that take both philosophy and education seriously – this one does! Roald Hoffmann, Cornell University, chemist, writer and Nobel Laureate in Chemistry. (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)

Functional localization is a central aim of cognitive neuroscience. But the nature and extent of functional localization in the human brain have been subjects of fierce theoretical debate since the 19th Century. In this essay, I first examine how concepts of functional localization have changed over time. I then analyze contemporary challenges to functional localization drawing from research on neural reuse, neural degeneracy, and the context-dependence of neural functions. I explore the consequences of these challenges for topics in philosophy of (...) science and philosophy of mind including localizationist versus anti-localizationist approaches to cognitive neuroscience, multiple realizability, reverse inference in functional neuroimaging, and the modularity of mind. (shrink)

Evolving Dharma is a next-generation book about meditation, Buddhism, and the contemplative path. It explores how the dharma (the path, the way, the teachings of the Buddha) has evolved in astonishing ways and how dharma practice evolves in one's own life. Instead of approaching the dharma as spirituality, therapy, or self-help, scholar and practicing Buddhist Jay Michaelson presents it as a set of technologies for upgrading the brain, for physically enhancing its capacity for wisdom and compassion. In the last twenty (...) years, Buddhism has exploded well beyond its former boundaries. Meditation is being taught to prisoners, cancer patients, and children. It is being practiced online--by geeks, hipsters, and punks; by atheists, Christians, and Jews; by people who are not "spiritual." It's not even "Buddhism" anymore, having evolved out of its original religious context and into dozens of new ones. Evolving Dharma is the first book to take stock of these trends, and to speak in real-life terms about how they affect the practice of meditation and the path to upgrading the mind. Michaelson is fearless, unorthodox, and irreverent, yet his book is also based on his decade of meditation practice and teaching as well as his ten years of work as an LGBT activist. Including forays into neuroscience and cultural criticism and Michaelson's personal stories of his five months spent in silent retreat, life-changing realizations, pain, joy, and insight, this is not an ironic, wading-into-spirituality memoir but a thoughtful, important work that takes its subject seriously, both as discipline and as individual narrative. Chapter titles include "The Dharma Evolves By Disappearing," "The Evolution of Enlightenment," and "When Every Mystical State You've Ever Wanted Isn't Enough.". (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)