Drawing on recent advances in evolutionary biology, prominent scholars return to the question posed in a pathbreaking book: how evolution itself evolved.

This paper describes a pattern of explanation prevalent in the biological sciences that I call a ‘lineage explanation’. The aim of these explanations is to make plausible certain trajectories of change through phenotypic space. They do this by laying out a series of stages, where each stage shows how some mechanism worked, and the differences between each adjacent stage demonstrates how one mechanism, through minor modifications, could be changed into another. These explanations are important, for though it is widely accepted (...) that there is an ‘incremental constraint’ on evolutionary change, in an important class of cases it is difficult to see how to satisfy this constraint. I show that lineage explanations answer important questions about evolutionary change, but do so by demonstrating differences between individuals rather than invoking population processes, such as natural selection.1. Introduction2. Turning a ‘Scale’ into a ‘Plume’3. Lineage Explanations in Biology3.1. The evolution of eyes3.2. The evolution of feathers4. The Two Dimensions of a Lineage Explanation4.1. The production dimension4.2. The continuity dimension4.3. The dual role of the parts5. Constraining the Explanations6. Operational and Generative Lineages7. Explaining Change Without Populations8. Conclusion. (shrink)

I use some recent formal work on measuring causation to explore a suggestion by James Woodward: that the notion of causal specificity can clarify the distinction in biology between permissive and instructive causes. This distinction arises when a complex developmental process, such as the formation of an entire body part, can be triggered by a simple switch, such as the presence of particular protein. In such cases, the protein is said to merely induce or "permit" the developmental process, whilst the (...) causal "instructions" for guiding that process are already prefigured within the cells. I construct a novel model that expresses in a simple and tractable way the relevant causal structure of biological development and then use a measure of causal specificity to analyse the model. I show that the permissive-instructive distinction cannot be captured by simply contrasting the specificity of two causes as Woodward proposes, and instead introduce an alternative, hierarchical approach to analysing the interaction between two causes. The resulting analysis highlights the importance of focusing on gene regulation, rather than just the coding regions, when analysing the distinctive causal power of genes. (shrink)

Recent work by Brian Skyrms offers a very general way to think about how information flows and evolves in biological networks—from the way monkeys in a troop communicate to the way cells in a body coordinate their actions. A central feature of his account is a way to formally measure the quantity of information contained in the signals in these networks. In this article, we argue there is a tension between how Skyrms talks of signalling networks and his formal measure (...) of information. Although Skyrms refers to both how information flows through networks and that signals carry information, we show that his formal measure only captures the latter. We then suggest that to capture the notion of flow in signalling networks, we need to treat them as causal networks. This provides the formal tools to define a measure that does capture flow, and we do so by drawing on recent work defining causal specificity. Finally, we suggest that this new measure is crucial if we wish to explain how evolution creates information. For signals to play a role in explaining their own origins and stability, they can’t just carry information about acts; they must be difference-makers for acts. _1_ Signalling, Evolution, and Information _2_ Skyrms’s Measure of Information _3_ Carrying Information versus Information Flow _3.1_ Example 1 _3.2_ Example 2 _3.3_ Example 3 _4_ Signalling Networks Are Causal Networks _4.1_ Causal specificity _4.2_ Formalizing causal specificity _5_ Information Flow as Causal Control _5.1_ Example 1 _5.2_ Examples 2 and 3 _5.3_ Average control implicitly ‘holds fixed’ other pathways _6_ How Does Evolution Create Information? _7_ Conclusion Appendix >. (shrink)

Like Laland et al., I think Mayr’s distinction is problematic, but I identify a further problem with it. I argue that Mayr’s distinction is a false dichotomy, and obscures an important question about evolutionary change. I show how this question, once revealed, sheds light on some debates in evo-devo that Laland et al.’s analysis cannot, and suggest that it provides a different view about how future integration between biological disciplines might proceed.

Understanding how cooperation evolves is central to explaining some core features of our biological world. Many important evolutionary events, such as the arrival of multicellularity or the origins of eusociality, are cooperative ventures between formerly solitary individuals. Explanations of the evolution of cooperation have primarily involved showing how cooperation can be maintained in the face of free-riding individuals whose success gradually undermines cooperation. In this paper I argue that there is a second, distinct, and less well explored, problem of cooperation (...) that I call the generation of benefit. Focusing on how benefit is generated within a group poses a different problem: how is it that individuals in a group can (at least in principle) do better than those who remain solitary? I present several different ways that benefit may be generated, each with different implications for how cooperation might be initiated, how it might further evolve, and how it might interact with different ways of maintaining cooperation. I argue that in some cases of cooperation, the most important underlying “problem” of cooperation may be how to generate benefit, rather than how to reduce conflict or prevent free-riding. (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)

Recent work by Brian Skyrms offers a very general way to think about how information flows and evolves in biological networks — from the way monkeys in a troop communicate, to the way cells in a body coordinate their actions. A central feature of his account is a way to formally measure the quantity of information contained in the signals in these networks. In this paper, we argue there is a tension between how Skyrms talks of signalling networks and his (...) formal measure of information. Although Skyrms refers to both how information flows through networks and that signals carry information, we show that his formal measure only captures the latter. We then suggest that to capture the notion of flow in signalling networks, we need to treat them as causal networks. This provides the formal tools to define a measure that does capture flow, and we do so by drawing on recent work defining causal specificity. Finally, we suggest that this new measure is crucial if we wish to explain how evolution creates information. For signals to play a role in explaining their own origins and stability, they can’t just carry information about acts: they must be difference-makers for acts. (shrink)

Recent work on the evolution of signaling systems provides a novel way of thinking about genetic information, where information is passed between genes in a regulatory network. I use examples from evolutionary developmental biology to show how information can be created in these networks and how it can be reused to produce rapid phenotypic change.

Biologists frequently draw on ideas and terminology from engineering. Evolutionary systems biology—with its circuits, switches, and signal processing—is no exception. In parallel with the frequent links drawn between biology and engineering, there is ongoing criticism against this cross-fertilization, using the argument that over-simplistic metaphors from engineering are likely to mislead us as engineering is fundamentally different from biology. In this article, we clarify and reconfigure the link between biology and engineering, presenting it in a more favorable light. We do so (...) by, first, arguing that critics operate with a narrow and incorrect notion of how engineering actually works, and of what the reliance on ideas from engineering entails. Second, we diagnose and diffuse one significant source of concern about appeals to engineering, namely that they are inherently and problematically metaphorical. We suggest that there is plenty of fertile ground left for a continued, healthy relationship between engineering and biology. (shrink)

According to Pigliucci and Kaplan, there is a revolution underway in how we understand fitness landscapes. Recent models suggest that a perennial problem in these landscapes—how to get from one peak across a fitness valley to another peak—is, in fact, non-existent. In this paper I assess the structure and the extent of Pigliucci and Kaplan’s proposed revolution and argue for two points. First, I provide an alternative interpretation of what underwrites this revolution, motivated by some recent work on model-based science. (...) Second, I show that the implications of this revolution need to carefully assessed depending on question being asked, for peak-shifting is not central to all evolutionary questions that fitness landscapes have been used to explore. (shrink)

This collection reports on the latest research on an increasingly pivotal issue for evolutionary biology: cooperation. The chapters are written from a variety of disciplinary perspectives and utilize research tools that range from empirical survey to conceptual modeling, reflecting the rich diversity of work in the field. They explore a wide taxonomic range, concentrating on bacteria, social insects, and, especially, humans. -/- Part I (“Agents and Environments”) investigates the connections of social cooperation in social organizations to the conditions that make (...) cooperation profitable and stable, focusing on the interactions of agent, population, and environment. Part II (“Agents and Mechanisms”) focuses on how proximate mechanisms emerge and operate in the evolutionary process and how they shape evolutionary trajectories. Throughout the book, certain themes emerge that demonstrate the ubiquity of questions regarding cooperation in evolutionary biology: the generation and division of the profits of cooperation; transitions in individuality; levels of selection, from gene to organism; and the “human cooperation explosion” that makes our own social behavior particularly puzzling from an evolutionary perspective. (shrink)

The notion of a genetic program has been widely criticized by both biologists and philosophers. But the debate has revolved around a narrow conception of what programs are and how they work, and many criticisms are linked to this same conception. To remedy this, I outline a modern and more apt idea of a program that possesses many of the features critics thought missing from programs. Moving away from over-simplistic conceptions of programs opens the way to a more fruitful interplay (...) of ideas between the complexity of biology and our most complex engineering discipline. (shrink)

This paper is about mechanisms and models, and how they interact. In part, it is a response to recent discussion in philosophy of biology regarding whether natural selection is a mechanism. We suggest that this debate is indicative of a more general problem that occurs when scientists produce mechanistic models of populations and their behaviour. We can make sense of claims that there are mechanisms that drive population-level phenomena such as macroeconomics, natural selection, ecology, and epidemiology. But talk of mechanisms (...) and mechanistic explanation evokes objects with well-defined and localisable parts which interact in discrete ways, while models of populations include parts and interactions that are neither local nor discrete in any actual populations. This apparent tension can be resolved by carefully distinguishing between the properties of a model and those of the system it represents. To this end, we provide an analysis that recognises the flexible relationship between a mechanistic model and its target system. In turn, this reveals a surprising feature of mechanistic representation and explanation: it can occur even when there is a mismatch between the mechanism of the model and that of its target. Our analysis reframes the debate, providing an alternative way to interpret scientists’ mechanism-talk , which initially motivated the issue. We suggest that the relevant question is not whether any population-level phenomenon such as natural selection is a mechanism, but whether it can be usefully modelled as though it were a particular type of mechanism. (shrink)

I respond to recent criticism of my analysis of the permissive-instructive distinction and outline problems with the alternative analysis on offer. Amongst other problems, I argue that the use of formal measures is unclear and unmotivated, that the distinction is conflated with others that are not equivalent, and that no good reasons are provided for thinking the alternative model or formal measure tracks what biologists are interested in. I also clarify my own analysis where it has been misunderstood or ignored.

I respond to recent criticism of my analysis of the permissive-instructive distinction and outline problems with the alternative analysis on offer. Amongst other problems, I argue that the use of formal measures is unclear and unmotivated, that the distinction is conflated with others that are not equivalent, and that no good reasons are provided for thinking the alternative model or formal measure tracks what biologists are interested in. I also clarify my own analysis where it has been misunderstood or ignored.

This review of Wimsatt’s book Re-engineering Philosophy for Limited Beings focuses on analysing his use of robustness, a central theme in the book. I outline a family of three distinct conceptions of robustness that appear in the book, and look at the different roles they play. I briefly examine what underwrites robustness, and suggest that further work is needed to clarify both the structure of robustness and the relation between it various conceptions.

We provide an account of mechanistic representation and explanation that has several advantages over previous proposals. In our view, explaining mechanistically is not simply giving an explanation of a mechanism. Rather, an explanation is mechanistic because of particular relations that hold between a mechanical representation, or model, and the target of explanation. Under this interpretation, mechanistic explanation is possible even when the explanatory target is not a mechanism. We argue that taking this view is not only coherent and plausible, it (...) gives a more sophisticated view of the relationship between mechanical models and their targets. This allows us to address some ambiguities within the mechanist framework, and delivers a more intuitive way to interpret scientists' use of the term "mechanism". (shrink)

Several authors have argued that causes differ in the degree to which they are ‘specific’ to their effects. Woodward has used this idea to enrich his influential interventionist theory of causal explanation. Here we propose a way to measure causal specificity using tools from information theory. We show that the specificity of a causal variable is not well-defined without a probability distribution over the states of that variable. We demonstrate the tractability and interest of our proposed measure by measuring the (...) specificity of coding DNA and other factors in a simple model of the production of mRNA. (shrink)

The thesis that agents should calibrate their beliefs in the face of higher-order evidence—i.e., should adjust their first-order beliefs in response to evidence suggesting that the reasoning underlying those beliefs is faulty—is sometimes thought to be in tension with Bayesian approaches to belief update: in order to obey Bayesian norms, it’s claimed, agents must remain steadfast in the face of higher-order evidence. But I argue that this claim is incorrect. In particular, I motivate a minimal constraint on a reasonable treatment (...) of the evolution of self-locating beliefs over time and show that calibrationism is compatible with any generalized Bayesian approach that respects this constraint. I then use this result to argue that remaining steadfast isn’t the response to higher-order evidence that maximizes expected accuracy. (shrink)

New Approaches to Religion and the Enlightenment examines religious belief and practice during the age of Enlightenment from a range of disciplinary perspectives, including theology, the natural sciences, politics, the law, art, philosophy, and literature.

Jakob von Uexküll's theories of life -- Biography and historical background -- Nature's conformity with plan -- Umweltforschung -- Biosemiotics -- Concluding remarks -- Marking a path into the environments of animals -- The essential approach to the organism -- Heidegger and the biologists -- Paths to the world -- Disruptive behavior : Heidegger and the captivated animal -- The worldless stone -- The poor animal -- For example, three bees and a lark -- Animal morphology -- A shocking wealth (...) -- A fine line in the rupture of time -- An affected body -- The theme of the animal melody : Merleau-Ponty and the umwelt -- The structure of behavior -- A pure wake, a quiet force -- A leaf of being -- Interanimality -- The-animal-stalks-at-five-oclock : Deleuze's affection for Uexküll -- Problematic organisms -- Uexküll's ethology of affects -- The body without organs, the embryonic egg, and prebiotic soup -- Nature's refrain sung across milieus and territories -- The animal stalks. (shrink)

This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in (...) the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant. (shrink)

Every day, new warnings emerge about artificial intelligence rebelling against us. All the while, a more immediate dilemma flies under the radar. Have forces been unleashed that are thrusting humanity down an ill-advised path, one that's increasingly making us behave like simple machines? In this wide-reaching, interdisciplinary book, Brett Frischmann and Evan Selinger examine what's happening to our lives as society embraces big data, predictive analytics, and smart environments. They explain how the goal of designing programmable worlds goes hand (...) in hand with engineering predictable and programmable people. Detailing new frameworks, provocative case studies, and mind-blowing thought experiments, Frischmann and Selinger reveal hidden connections between fitness trackers, electronic contracts, social media platforms, robotic companions, fake news, autonomous cars, and more. This powerful analysis should be read by anyone interested in understanding exactly how technology threatens the future of our society, and what we can do now to build something better. (shrink)

'the whole work is remarkably fresh, vivid and attractively written psychologists will be grateful that a work of this kind has been done ... by one who has the scholarship, science, and philosophical training that are requisite for the task' - Mind This renowned three-volume collection records chronologically the steps by which psychology developed from the time of the early Greek thinkers and the first writings on the nature of the mind, through to the 1920s and such modern preoccupations as (...) criminal and animal psychology. It is only in relatively recent times that psychology has been considered an empirical science independent of philosophy. Brett's account is thus concerned with the broadest definition of psychology, taking in such philosophical aspects as the relation of mind and body, thought processes, etc. For each period he gives an account of the state of the sciences which influenced psychology, the state of psychology itself, the influence psychology had on other areas, and the applications of psychological theories. Examining a huge range of figures, he describes their attitudes on fundamental questions and their contribution to the progress of the subject, as well as the history of the different methods of inquiry. The thinkers he discusses range from Aristotle, Democritus, Socrates, Plato, and Xenocrates to Proclus, the Arabian teachers, Magnus, Duns Scotus, and Ockham from Galileo, Descartes, Gassendi, and Cudworth to Locke, Berkeley, Condillac, and Kant from Reid, Stewart, Herbart, and Schopenhauer to Bain, Spencer, Mill and Darwin. Surprisingly clear and easy to read, Brett's account succeeds in illuminating the nature of psychology as well as its history. It remains a classic overview of the subject from its broad roots in philosophy through to the independent empirical science of the modern era. --a scarce work, rarely found as a complete set --a classic work - all historians of psychology and philosophy should have A History of Psychology. (shrink)

This book explores and explains the reasons why the idea of universal history, a form of teleological history which holds that all peoples are travelling along the same path and destined to end at the same point, persists in political thought. Prominent in Western political thought since the middle of the eighteenth century, the idea of universal history holds that all peoples can be situated in the narrative of history on a continuum between a start and an end point, between (...) the savage state of nature and civilized modernity. Despite various critiques, the underlying teleological principle still prevails in much contemporary thinking and policy planning, including post-conflict peace-building and development theory and practice. Anathema to contemporary ideals of pluralism and multiculturalism, universal history means that not everyone gets to write their own story, only a privileged few. For the rest, history and future are taken out of their hands, subsumed and assimilated into other people's narrative. (shrink)

Better Call Saul and Philosophy is an anthology, a collection of essays exploring the philosophical themes present in the hit television show Better Call Saul. Premiering in the Spring of 2015, Better Call Saul serves as a prequel to the much beloved and critically acclaimed television show Breaking Bad in a which mild-mannered high school chemistry teacher, Walter White - through a series of poor, albeit strained decisions - slowly but steadily becomes a monstrous drug kingpin. In Better Call Saul, (...) a struggling but cocksure attorney, Jimmy McGill goes through a similar transformation to become a cunning, devious criminal lawyer for the underworld. Beyond this, Better Call Saul is populated with a number of additional characters going through their own evolution - from a brother burdened with a psychosomatic(?) ailment, to a former police officer delving deeper into the wrong side of the law to provide for his family. -/- Much like the beloved show, Better Call Saul and Philosophy is an anthology-- a collection of snippets and essays that slowly reveal a much more complex story. Premiering in the Spring of 2015, Better Call Saul serves as a prequel to the much beloved and critically acclaimed television show Breaking Bad. Critics of the series have noted that its storytelling is emblematic, or "The New Golden Age of Television": programming that not only rewards multiple watches, but also calls for a careful, reasoned analysis of characters, plots, and themes. Better Call Saul is the type of program that is so rich with these elements that it not only calls for a book like Better Call Saul and Philosophy, but might even feel incomplete without it! -/- Now, readers can join alongside struggling-but-cocksure attorney Jimmy McGill as he goes through a series of transformative experiences and scenarios. Featuring the work of contemporary philosophers, Better Call Saul and Philosophy offers its readers a chance to delve deeply into a wide range of philosophical issues the show presents, including the nature of good and evil, personal identity, free will and determinism, the law as it relates to morality, the ethical implications of the war on drugs, death and dying, and many, many more. Fans of the show will love a chance to appreciate the show on much deeper level--and, for those hoping to learn a bit about philosophy as well as the show, the book perfectly marries the two together in a unique and engaging way. -/- This book is the latest edition (#8) in the series Pop Culture and Philosophy. (shrink)

This chapter focuses on one of the common fallacies in Western philosophy, 'denying the antecedent'. Like affirming the consequent, denying the antecedent is also a fallacious form of reasoning in formal logic. This time the problem occurs when the minor premise of a propositional syllogism denies the antecedent of a conditional statement. Denying the antecedent makes the mistake of assuming that if the antecedent is denied, then the consequent must also be denied. Like modus ponens, modus tollens is a valid (...) argument form because the truth of the premises guarantees the truth of the conclusion; however, like affirming the consequent, denying the antecedent is an invalid argument form because the truth of the premises does not guarantee the truth of the conclusion. The invalidity of denying the antecedent is confirmed by a truth table presented in the chapter. (shrink)

In a new and accessible look at the philosophy of Sigmund Freud, learn how the great thinker's ideas are still relevant today.

A funny, sharp and smart picture book to help mommy and daddy through difficult moments.

This article proposes that Horace's Epodes and Ovid's Metamorphoses open with significant acrostics that comprise the first two letters, in some cases forming syllables, of successive lines: IB-AM/IAMB (Epod. 1.1–2) and IN-CO-(H)AS (Met. 1.1–3). Each acrostic, it will be argued, tees up programmatic concerns vital to the work it opens: generic identity and the interrelation of form and content (Epodes), etymology and monumentality (Metamorphoses). Moreover, as befits their placement at the head of collections, both acrostics negotiate the challenge of literary (...) commencement. The introduction reviews recent developments in acrostic studies and discusses important predecessors and parallels for Horace's and Ovid's ‘two-letter’ and syllabic acrostics. Two subsequent sections examine the acrostics singly, and a conclusion compares the dialogues that these acrostics open between author and reader, underscoring the welcome challenge which Ovid's acrostic offers to the prevailing scholarly view that this form of wordplay is a strictly visual affair. (shrink)

The field of emotion regulation has developed rapidly, and a number of emotion regulatory strategies have been identified. To date, empirical attention has focused on contrasting specific regulatio...

When epistemologists talk about knowledge, the discussions traditionally include only a small class of other epistemic notions: belief, justification, probability, truth. In this paper, we propose that epistemologists should include an additional epistemic notion into the mix, namely the notion of assuming or taking for granted.

This essay examines the interconnected nature of salvation and health, and it does so by engaging both recent qualitative research and three scriptural accounts from the life, death, and resurrection of Jesus. In doing so, the essay argues that salvation and health—and their conceptual pairings, sin and disease—are never individualistic. These realities are always cosmic, communal, and interpersonal, even as sin and disease are fundamentally disintegrating and isolating. The salvation and health of people suffering with substance use issues are bound (...) up with the transformations of governing principalities and powers, social realities, and relationships. Health care practitioners and clergy should be wise, communal guides offering care and accompaniment in the pursuit of salvation and health. (shrink)

Ordinarily, people take themselves to know a lot. I know where I was born, I know that I have two hands, I know that two plus two equals four, and I also think I know a lot of other stuff too. However, the project of trying to provide a philosophically satisfying account of knowledge, one that holds up against skeptical challenges, has proven surprisingly difficult. Either one aims for an account of justification (and knowledge) that is epistemologically demanding, in an (...) effort to offer an account that satisfactorily addresses skepticism, or one aims for an account of justification (and knowledge) that makes sense of our ordinary knowledge claims. However, the history of contemporary epistemology tells us that you cannot have both: the former results in skepticism, the latter in an unsatisfying response to skepticism. -/- What we find, in the array of contemporary attempts to give accounts of knowledge and justification, are numerous views spread across the internalism/externalism spectrum that deal with the dilemma of the previous paragraph in different ways. Most of them are guided by the goal of accommodating our ordinary knowledge claims. This is especially true of externalist accounts, but many internalist accounts are guided by this same goal, though perhaps to a lesser degree. One kind of internalist view stands out for its insistence on providing philosophically satisfying accounts of knowledge and justification, even if doing so has skeptical implications. This is the traditional, old-fashioned, Cartesian-style internalism that was so prominent in the early 20th century and is now a minority position. -/- Unlike competing versions of epistemic internalism, the guiding principle of traditional, Cartesian-style internalism (what I will henceforth call ‘traditional internalism’) is not to accommodate our commonsense views about the rationality of our ordinary beliefs. Instead, traditional internalism emphasizes rationality’s demand for philosophical assurance, on the basis of evidence that can withstand the strongest skeptical challenges, that our ordinary beliefs (perceptual and otherwise) are true. According to the traditional internalist, the philosopher, qua philosopher, ought to begin the epistemological project from the inside, placing a premium on satisfying our philosophical curiosity. -/- Despite the relative unpopularity of traditional internalism the view can be taken to be worthy of attention for a variety of reasons. First, traditional internalism has great historical importance. Significant portions of the history of contemporary epistemology, and to a lesser degree philosophy in the modern era (roughly, Descartes to Kant), are grounded in a number of the intuitions that drive traditional internalism. Second, and perhaps even more importantly, traditional internalism serves as the source of a wide variety of criticisms for other, more prominent, contemporary epistemological views. In a number of debates the views of the traditional internalist are used to play a kind of Devil’s advocate. Finally, some of the ideas that ground traditional internalism have had a bit of resurgence of late.1 To put it simply, traditional internalism refuses to go away. In this introduction, I will do three things. First, I will situate traditional internalism among other competing versions of internalism by highlighting the ways in which traditional internalism differs from them (in particular, evidentialism and conservatism). Second, I will explain more carefully some of the central tenets of traditional internalism and what motivates them. Third, I will highlight some of the difficulties that threaten traditional internalism, and I will explain how the contributions to this volume interact with those difficulties. -/- The goal of this volume is to test again the staying power of traditional internalism, to see if this once historically prominent view deserves another look, to see if traditional internalism is a legitimate contender providing useful criticisms of more prominent views, or, if instead it is time for traditional internalism to be left by the wayside. (shrink)

Emotion Review, Volume 14, Issue 3, Page 167-181, July 2022. A growing cadre of influential scholars has converged on a circumscribed definition of empathy as restricted only to feeling the same emotion that one perceives another is feeling. We argue that this restrictive isomorphic matching definition is deeply problematic because it deviates dramatically from traditional conceptualizations of empathy and unmoors the construct from generations of scientific research and clinical practice; insistence on an isomorphic form undercuts much of the functional value (...) of empathy from multiple perspectives of analysis; and combining the opposing concepts of isomorphic matching and self-other awareness implicitly requires motivational content, causing the RIM definition to implicitly require the kind of non-matching emotional content that it explicitly seeks to exclude. (shrink)

In The Anticipatory Corpse, Jeffrey Bishop claims that modern medicine has lost formal and final causality as the dead body has become epistemologically normative, and that a singular focus on efficient and material causality has thoroughly distorted modern medical practice. Bishop implies that the renewal of medicine will require its housing in alternate social spaces. This essay critiques both Bishop’s diagnosis and therapy by arguing, first, that alternate social imaginaries, though perhaps marginalized, are already present within the practice of medicine. (...) And second, the essay argues that alternate social imaginaries in medicine can be reclaimed not through separatist communities but in the re-narration of conceptually underdetermined practices. Given Bishop’s invitation for theology to engage medicine, this essay then draws from theologian Dietrich Bonhoeffer for the kind of diagnosis and therapy currently needed, concluding with a contemporary example of how an alternate social imaginary is being instantiated in modern medicine. (shrink)

Which rules should guide our reasoning? Human reasoners often use reasoning shortcuts, called heuristics, which function well in some contexts but lack the universality of reasoning rules like deductive implication or inference to the best explanation. Does it follow that human reasoning is hopelessly irrational? I argue: no. Heuristic reasoning often represents human reasoners reaching a local rational maximum, reasoning more accurately than if they try to implement more “ideal” rules of reasoning. I argue this is a genuine rational achievement. (...) Our ideal rational advisors would advise us to reason with heuristic rules, not more complicated ideal rules. I argue we do not need a radical new account of epistemic norms to make sense of the success of heuristic reasoning. (shrink)