While modern theories of emotion emphasize the role of higher-order cognitive processes such as semantics in human emotion, much research into emotional learning has ignored the potential contribut...

Previous research has found that people choose to reappraise low intensity images more often than high intensity images. However, this research does not account for image ambivalence, which is presence of both positive and negative cues in a stimulus. The purpose of this research was to determine differences in ambivalence in high intensity and low intensity images used in previous research (experiments 1–2), and if ambivalence played a role in emotion regulation choice in addition to intensity (experiments 3–4). Experiments 1 (...) and 2 found that the low intensity images were more ambivalent than the high intensity images. Experiment 2 further found a positive relationship between ambivalence of an image and reappraisal affordances. Experiments 3 and 4 found that people chose to reappraise ambivalent images more often than non-ambivalent images, and they also chose to reappraise low intensity images more often than high intensity images. These experiments support the idea that ambivalence is a factor in emotion regulation choice. Future research should consider the impact ambivalent stimuli have on emotion regulation, including the potential for leveraging ambivalent stimuli to improve one’s emotion regulation ability. (shrink)

This essay examines the logic of greatness attributions in general and the implications of aesthetic positions taken by Hume, Shelley, and T. M. Greene in order to show how the attitude of faith, i.e. a disposition for unbounded personal growth, can constitute greatness in experiences or in objects or occasions of experience. On this basis the role of great experiences in education is elucidated. It is argued that faith takes a distinctively free aesthetic form in the educational frame of reference (...) so that great experiences may abound. (shrink)

For perspicuous comparison and evaluation of moral positions on life-and-death issues, it is necessary to take into account the different meanings that killing and getting killed can bear in the two dimensions of dealing with persons (intention meeting intention) and handling them. A homicidal scenario in Sir Gawain and the Green Knight shows the possibility of courteous dealing coinciding with lethal handling. The extreme possibility of lovingly affirming persons while killing them, suggested by the Augustinian “kindly severity” ideal for (...) state-sponsored punitive killing, requires the killers’ affirmation of a fleshliness and fallibility shared with their victims; but love can accept killing only provisionally, since it postulates freedom from the constraints that are felt to require killing. (shrink)

We describe the educational character and leadership development processes used by the United States Air Force Academy that other educational institutions may find useful. Our processes include an integrated educational curriculum designed to complement and integrate the experiential learning that results in achieving specific organizational outcomes, co-curricular activities in cadet living, and a specific focus on the ethical development of leaders’ respect for human dignity and cultural competency as well as the mechanisms to assess and refine our processes.

ABSTRACT I argue that this examination and appreciation for the shift to abductive reasoning should be extended to the intersection of neuroscience and novel brain-computer interfaces too. This paper highlights the implications of applying abductive reasoning to personalized implantable neurotechnologies. Then, it explores whether abductive reasoning is sufficient to justify insurance coverage for devices absent widespread clinical trials, which are better applied to one-size-fits-all treatments. INTRODUCTION In contrast to the classic model of randomized-control trials, often with a large number of (...) subjects enrolled, precision medicine attempts to optimize therapeutic outcomes by focusing on the individual.[i] A recent publication highlights the strengths and weakness of both traditional evidence-based medicine and precision medicine.[ii] Plus, it outlines a tension in the shift from evidence-based medicine’s inductive reasoning style (the collection of data to postulate general theories) to precision medicine’s abductive reasoning style (the generation of an idea from the limited data available).[iii] The paper’s main example is the application of precision medicine for the treatment of cancer.[iv] I argue that this examination and appreciation for the shift to abductive reasoning should be extended to the intersection of neuroscience and novel brain-computer interfaces too. As the name suggests, brain-computer interfaces are a significant advancement in neurotechnology that directly connects someone’s brain to external or implanted devices.[v] Among the various kinds of brain-computer interfaces, adaptive deep brain stimulation devices require numerous personalized adjustments to their settings during the implantation and computation stages in order to provide adequate relief to patients with treatment-resistant disorders. What makes these devices unique is how adaptive deep brain stimulation integrates a sensory component to initiate the stimulation. While not commonly at the level of sophistication as self-supervising or generative large language models,[vi] they currently allow for a semi-autonomous form of neuromodulation. This paper highlights the implications of applying abductive reasoning to personalized implantable neurotechnologies. Then, it explores whether abductive reasoning is sufficient to justify insurance coverage for devices absent widespread clinical trials, which are better applied to one-size-fits-all treatments.[vii] ANALYSIS I. The State of Precision Medicine in Oncology and the Epistemological Shift While a thorough overview of precision medicine for the treatment of cancer is beyond the scope of this article, its practice can be roughly summarized as identifying clinically significant characteristics a patient possesses (e.g., genetic traits) to land on a specialized treatment option that, theoretically, should benefit the patient the most.[viii] However, in such a practice of stratification patients fall into smaller and smaller populations and the quality of evidence that can be applied to anyone outside these decreases in turn.[ix] As inductive logic helps to articulate, the greater the number of patients that respond to a particular therapy the higher the probability of its efficacy. By straying from this logical framework, precision medicine opens the treatment of cancer to more uncertainty about the validity of these approaches to the resulting disease subcategories.[x] Thus, while contemporary medical practices explicitly describe some treatments as “personalized”, they ought not be viewed as inherently better founded than other therapies.[xi] A relevant contemporary case of precision medicine out of Norway focuses on the care of a patient with cancer between the ventricles of the heart and esophagus, which had failed to respond to the standard regimen of therapies over four years.[xii] In a last-ditch effort, the patient elected to pay out-of-pocket for an experimental immunotherapy (nivolumab) at a private hospital. He experienced marked improvements and a reduction in the size of the tumor. Understandably, the patient tried to pursue further rounds of nivolumab at a public hospital. However, the hospital initially declined to pay for it given the “lack of evidence from randomised clinical trials for this drug relating to this [patient’s] condition.”[xiii] In rebuttal to this claim, the patient countered that he was actually similar to a subpopulation of patients who responded in “open‐label, single arm, phase 2 studies on another immune therapy drug” (pembrolizumab).[xiv] Given this interpretation of the prior studies and the patient’s response, further rounds of nivolumab were approved. Had the patient not had improvements in the tumor’s size following a round of nivolumab, then pembrolizumab’s prior empirical evidence in isolation would have been insufficient, inductively speaking, to justify his continued use of nivolumab.[xv] The case demonstrates a shift in reasoning from the traditional induction to abduction. The phenomenon of ‘cancer improvement’ is considered causally linked to nivolumab and its underlying physiological mechanisms.[xvi] However, “the weakness of abductions is that there may always be some other better, unknown explanation for an effect. The patient may for example belong to a special subgroup that spontaneously improves, or the change may be a placebo effect. This does not mean, however, that abductive inferences cannot be strong or reasonable, in the sense that they can make a conclusion probable.”[xvii] To demonstrate the limitations of relying on the abductive standard in isolation, commentators have pointed out that side effects in precision medicine are hard to rule out as being related to the initial intervention itself unless trends from a group of patients are taken into consideration.[xviii] As artificial intelligence (AI) assists the development of precision medicine for oncology, this uncertainty ought to be taken into consideration. The implementation of AI has been crucial to the development of precision medicine by providing a way to combine large patient datasets or a single patient with a large number of unique variables with machine learning to recommend matches based on statistics and probability of success upon which practitioners can base medical recommendations.[xix] The AI is usually not establishing a causal relationship[xx] – it is predicting. So, as AI bleeds into medical devices, like brain-computer interfaces, the same cautions about using abductive reasoning alone should be carried over. II. Responsive Neurostimulation, AI, and Personalized Medicine Like precision medicine in cancer treatment, computer-brain interface technology similarly focuses on the individual patient through personalized settings. In order to properly expose the intersection of AI, precision medicine, abductive reasoning, and implantable neurotechnologies, the descriptions of adaptive deep brain stimulation systems need to deepen.[xxi] As a broad summary of adaptive deep brain stimulation, to provide a patient with the therapeutic stimulation, a neural signal, typically referred to as a local field potential,[xxii] must first be detected and then interpreted by the device. The main adaptive deep brain stimulation device with premarket approval, the NeuroPace Responsive Neurostimulation system, is used to treat epilepsy by detecting and storing “programmer-defined phenomena.”[xxiii] Providers can optimize the detection settings of the device to align with the patient’s unique electrographic seizures as well as personalize the reacting stimulation’s parameters.[xxiv] The provider adjusts the technology based on trial and error. One day machine learning algorithms will be able to regularly aid this process in myriad ways, such as by identifying the specific stimulation settings a patient may respond to ahead of time based on their electrophysiological signatures.[xxv] Either way, with AI or programmers, adaptive neurostimulation technologies are individualized and therefore operate in line with precision medicine rather than standard treatments based on large clinical trials. Contemporary neurostimulation devices are not usually sophisticated enough to be prominent in AI discussions where the topics of neural networks, deep learning, generative models, and self-attention dominate the conversation. However, implantable high-density electrocorticography arrays (a much more sensitive version than adaptive deep brain stimulation systems use) have been used in combination with neural networks to help patients with neurologic deficits from a prior stroke “speak” through a virtual avatar.[xxvi] In some experimental situations, algorithms are optimizing stimulation parameters with increasing levels of independence.[xxvii] An example of neurostimulation that is analogous to the use of nivolumab in Norway surrounds a patient in the United States who was experiencing both treatment-resistant OCD and temporal lobe epilepsy.[xxviii]Given the refractory nature of her epilepsy, implantation of an adaptive deep brain stimulation system was indicated. As a form of experimental therapy, her treatment-resistant OCD was also indicated for the off-label use of an adaptive deep brain stimulation set-up. Another deep brain stimulation lead, other than the one implanted for epilepsy, was placed in the patient’s right nucleus accumbens and ventral pallidum region given the correlation these nuclei had with OCD symptoms in prior research. Following this, the patient underwent “1) ambulatory, patient-initiated magnet-swipe storage of data during moments of obsessive thoughts; (2) lab-based, naturalistic provocation of OCD-related distress (naturalistic provocation task); and (3) lab-based, VR [virtual reality] provocation of OCD-related distress (VR provocation task).”[xxix] Such signals were used to identify when to deliver the therapeutic stimulation in order to counter the OCD symptoms. Thankfully, following the procedure and calibration the patient exhibited marked improvements in their OCD symptoms and recently shared her results publicly.[xxx] In both cases, there is a similar level of abductive justification for the efficacy of the delivered therapy. In the case study in which the patient was treated with adaptive deep brain stimulation, they at least had their neural activity tested in various settings to determine the optimum parameters for treatment to avoid them being based on guesswork. Additionally, the adaptive deep brain stimulation lead was already placed before the calibration trials were conducted, meaning that the patient had already taken on the bulk of the procedural risk before the efficacy could be determined. Such an efficacy test could have been replicated in the first patient’s cancer treatment, had it been biopsied and tested against the remaining immunotherapies in vitro. Yet, in the case of cancer with few options, one previous dose of a drug that appeared to work on the patient may justify further doses. However, as the Norwegian case presents, corroboration with known responses to a similar drug (from a clinical trial) could be helpful to validate the treatment strategy. (It should be noted that both patients were resigned to these last resort options regardless of the efficacy of treatment.) There are some elements of inductive logic seen with adaptive deep brain stimulation research in general. For example, abductively the focus could be that patient X’s stimulation parameters are different from patient Y’s and patient Z’s. In contrast, when grouped as subjects who obtained personalized stimulation, patients X, Y, and Z demonstrate an inductive aspect to this approach’s safety and/or efficacy. The OCD case holds plenty of abductive characteristics in line with precision medicine’s approach to treating cancer and as more individuals try the method, there will be additional data. With the gradual integration of AI into brain-computer interfaces in the name of efficacy, this reliance on abduction will continue, if not grow, over time. Moving forward, if a responsive deep brain stimulation treatment is novel and individualized (like the dose of nivolumab) and there is some other suggestion of efficacy (like clinical similarities to other patients in the literature), then it may justify insurance coverage for the investigative intervention, absent other unrelated reasons to deny it. III. Ethical Implications and Next Steps While AI’s use in oncology and neurology is not yet as prominent as its use in other fields (e.g., radiology), it appears to be on the horizon for both.[xxxi] AI can be found in both the functioning of the neurotechnologies as well as the implementation of precision medicine. The increasing use of AI may serve to further individualize both oncologic and neurological therapies. Given these implications and the handful of publications cited in this article, it is important to have a nuanced evaluation of how these treatments, which heavily rely on abductive justification, ought to be managed. The just use an abductive approach may be difficult as AI infused precision medicine is further pursued. At baseline, such technology relies on a level of advanced technology literacy among the general public and could exclude populations who lack access to basic technological infrastructure or know-how from participation.[xxxii] Even among nations with adequate infrastructure, as more patients seek out implantable neurotechnologies, which require robust healthcare resources, the market will favor patient populations that can afford this complex care.[xxxiii] If patients already have the means to pay for an initial dose/use of a precision medicine product out of pocket, should insurance providers be required to cover subsequent treatments?[xxxiv] That is, if a first dose of a cancer drug or a deep brain stimulator over its initial battery life is successful, patients may feel justified in having the costs of further treatments covered. The Norwegian patient’s experience implies there is a precedent for the idea that some public insurance companies ought to cover successful cancer therapies, however, insurance companies may not all see themselves as obligated to cover neurotechnologies that rely on personalized settings or that are based on precision/abductive research more than on clinical trials. CONCLUSION The fact that the cases outlined above rely on abductive style of reasoning implies that there may not be as strong a justification for coverage by insurance, as they are both experimental and individualized, when compared to the more traditional large clinical trials in which groups have the same or a standardized protocol (settings/doses). If a study is examining the efficacy of a treatment with a large cohort of patients or with different experimental groups/phases, insurance companies may conclude that the resulting symptom improvements are more likely to be coming from the devices themselves. A preference for inductive justification may take priority when ruling in favor of funding someone’s continued use of an implantable neurostimulator. There are further nuances to this discussion surrounding the classifications of these interventions as research versus clinical care that warrant future exploration, since such a distinction is more of a scale[xxxv] than binary and could have significant impacts on the “right-to-try” approach to experimental therapies in the United States.[xxxvi] Namely, given the inherent limitations of conducting large cohort trials for deep brain stimulation interventions on patients with neuropsychiatric disorders, surgically innovative frameworks that blend abductive and inductive methodologies, like with sham stimulation phases, have traditionally been used.[xxxvii] Similarly, for adaptive brain-computer interface systems, if there are no large clinical trials and instead only publications that demonstrate that something similar worked for someone else, then, in addition to the evidence that the first treatment/dose worked for the patient in question, the balance of reasoning would be valid and arguably justify insurance coverage. As precision approaches to neurotechnology become more common, frameworks for evaluating efficacy will be crucial both for insurance coverage and for clinical decision making. ACKNOWLEDGEMENT This article was originally written as an assignment for Dr. Francis Shen’s “Bioethics & AI” course at Harvard’s Center for Bioethics. I would like to thank Dr. Shen for his comments as well as my colleagues in the Lázaro-Muñoz Lab for their feedback. - [i] Jonathan Kimmelman and Ian Tannock, “The Paradox of Precision Medicine,” Nature Reviews. Clinical Oncology 15, no. 6 (June 2018): 341–42, https://doi.org/10.1038/s41571-018-0016-0. [ii] Henrik Vogt and Bjørn Hofmann, “How Precision Medicine Changes Medical Epistemology: A Formative Case from Norway,” Journal of Evaluation in Clinical Practice 28, no. 6 (December 2022): 1205–12, https://doi.org/10.1111/jep.13649. [iii] David Barrett and Ahtisham Younas, “Induction, Deduction and Abduction,” Evidence-Based Nursing 27, no. 1 (January 1, 2024): 6–7, https://doi.org/10.1136/ebnurs-2023-103873. [iv] Vogt and Hofmann, “How Precision Medicine Changes Medical Epistemology,” 1208. [v] Wireko Andrew Awuah et al., “Bridging Minds and Machines: The Recent Advances of Brain-Computer Interfaces in Neurological and Neurosurgical Applications,” World Neurosurgery, May 22, 2024, S1878-8750(24)00867-2, https://doi.org/10.1016/j.wneu.2024.05.104. [vi] Mark Riedl, “A Very Gentle Introduction to Large Language Models without the Hype,” Medium (blog), May 25, 2023, https://mark-riedl.medium.com/a-very-gentle-introduction-to-large-language-models-without-the-hype-5 f67941fa59e. [vii] David E. Burdette and Barbara E. Swartz, “Chapter 4 - Responsive Neurostimulation,” in Neurostimulation for Epilepsy, ed. Vikram R. Rao (Academic Press, 2023), 97–132, https://doi.org/10.1016/B978-0-323-91702-5.00002-5. [viii] Kimmelman and Tannock, 2018. [ix] Kimmelman and Tannock, 2018. [x] Simon Lohse, “Mapping Uncertainty in Precision Medicine: A Systematic Scoping Review,” Journal of Evaluation in Clinical Practice 29, no. 3 (April 2023): 554–64, https://doi.org/10.1111/jep.13789. [xi] Kimmelman and Tannock, “The Paradox of Precision Medicine.” [xii] Vogt and Hofmann, 1206. [xiii] Vogt and Hofmann, 1206. [xiv] Vogt and Hofmann, 1206. [xv] Vogt and Hofmann, 1207. [xvi] Vogt and Hofmann, 1207. [xvii] Vogt and Hofmann, 1207. [xviii] Vogt and Hofmann, 1210. [xix] Mehar Sahu et al., “Chapter Three - Artificial Intelligence and Machine Learning in Precision Medicine: A Paradigm Shift in Big Data Analysis,” in Progress in Molecular Biology and Translational Science, ed. David B. Teplow, vol. 190, 1 vols., Precision Medicine (Academic Press, 2022), 57–100, https://doi.org/10.1016/bs.pmbts.2022.03.002. [xx] Stefan Feuerriegel et al., “Causal Machine Learning for Predicting Treatment Outcomes,” Nature Medicine 30, no. 4 (April 2024): 958–68, https://doi.org/10.1038/s41591-024-02902-1. [xxi] Sunderland Baker et al., “Ethical Considerations in Closed Loop Deep Brain Stimulation,” Deep Brain Stimulation 3 (October 1, 2023): 8–15, https://doi.org/10.1016/j.jdbs.2023.11.001. [xxii] David Haslacher et al., “AI for Brain-Computer Interfaces,” 2024, 7, https://doi.org/10.1016/bs.dnb.2024.02.003. [xxiii] Burdette and Swartz, “Chapter 4 - Responsive Neurostimulation,” 103–4; “Premarket Approval (PMA),” https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P100026. [xxiv] Burdette and Swartz, “Chapter 4 - Responsive Neurostimulation,” 104. [xxv] Burdette and Swartz, 126. [xxvi] Sean L. Metzger et al., “A High-Performance Neuroprosthesis for Speech Decoding and Avatar Control,” Nature 620, no. 7976 (August 2023): 1037–46, https://doi.org/10.1038/s41586-023-06443-4. [xxvii] Hao Fang and Yuxiao Yang, “Predictive Neuromodulation of Cingulo-Frontal Neural Dynamics in Major Depressive Disorder Using a Brain-Computer Interface System: A Simulation Study,” Frontiers in Computational Neuroscience 17 (March 6, 2023), https://doi.org/10.3389/fncom.2023.1119685; Mahsa Malekmohammadi et al., “Kinematic Adaptive Deep Brain Stimulation for Resting Tremor in Parkinson’s Disease,” Movement Disorders 31, no. 3 (2016): 426–28, https://doi.org/10.1002/mds.26482. [xxviii] Young-Hoon Nho et al., “Responsive Deep Brain Stimulation Guided by Ventral Striatal Electrophysiology of Obsession Durably Ameliorates Compulsion,” Neuron 0, no. 0 (October 20, 2023), https://doi.org/10.1016/j.neuron.2023.09.034. [xxix] Nho et al. [xxx] Nho et al.; Erik Robinson, “Brain Implant at OHSU Successfully Controls Both Seizures and OCD,” OHSU News, accessed March 3, 2024, https://news.ohsu.edu/2023/10/25/brain-implant-at-ohsu-successfully-controls-both-seizures-and-ocd. [xxxi] Awuah et al., “Bridging Minds and Machines”; Haslacher et al., “AI for Brain-Computer Interfaces.” [xxxii] Awuah et al., “Bridging Minds and Machines.” [xxxiii] Sara Green, Barbara Prainsack, and Maya Sabatello, “The Roots of (in)Equity in Precision Medicine: Gaps in the Discourse,” Personalized Medicine 21, no. 1 (January 2024): 5–9, https://doi.org/10.2217/pme-2023-0097. [xxxiv] Green, Prainsack, and Sabatello, 7. [xxxv] Robyn Bluhm and Kirstin Borgerson, “An Epistemic Argument for Research-Practice Integration in Medicine,” The Journal of Medicine and Philosophy: A Forum for Bioethics and Philosophy of Medicine 43, no. 4 (July 9, 2018): 469–84, https://doi.org/10.1093/jmp/jhy009. [xxxvi] Vijay Mahant, “‘Right-to-Try’ Experimental Drugs: An Overview,” Journal of Translational Medicine 18 (June 23, 2020): 253, https://doi.org/10.1186/s12967-020-02427-4. [xxxvii] Michael S. Okun et al., “Deep Brain Stimulation in the Internal Capsule and Nucleus Accumbens Region: Responses Observed during Active and Sham Programming,” Journal of Neurology, Neurosurgery & Psychiatry 78, no. 3 (March 1, 2007): 310–14, https://doi.org/10.1136/jnnp.2006.095315. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Open Letter to the Enemy:Jean Genet's Holy WarSteven Miller (bio)J.G. seeks, or is searching for, or would like to discover, never to uncover him, the delicious enemy, quite disarmed, whose equilibrium is unstable, profile uncertain, face inadmissible, the enemy broken by a breath of air, the already humiliated slave, ready to throw himself out the window at the least sign, the defeated enemy: blind, deaf, mute. With no arms, (...) no legs, no stomach, no heart, no sex, no head, all told a complete enemy, already bearing all the marks of my bestiality that now need never be used (too lazy anyway). I want the total enemy, with immeasurable and spontaneous hatred for me, but also the subjugated enemy, defeated by me before he even knows me. Not to be reconciled with me, in any case. No friends. Above all, no friends: a declared enemy, but not a tortured one. Clean, faultless. What are his colors? From a green as tender as a cherry to an effervescent violet. His size? Between the two of us, he presents himself to me man to man. No friends. I seek an inadequate enemy, one who comes to capitulate. I will come at him with all that I can muster: whacks, slaps, kicks, I will feed him to starving foxes, make him eat English food, attend the House of Lords, be received at Buckingham Palace, fuck Prince Phillip, and be fucked by him, live for a month in London, dress like me, sleep in place of me, live in place of me: I seek the declared enemy.This brief text was not published until 1991. It was almost published in 1975 in a book of homages to William Burroughs and Brion Gysin, and was to have been preceded with the following explanation of its origins, written by Gysin:In Tangiers in 1970, Jean Genet asked me what ever happened to the English underground newspaper The International Times. When I responded that the editors were having trouble with the law in England because of the newspaper's ads for "special friendships" [amitiés particulières], he exclaimed: "Why friends? Personally, I am looking for a suitable enemy [un ennemi à ma taille]." He then wrote the following text...[qtd. in Genet, ED 9]Hence the anecdotal reason for the form of the personal advertisement. In 1991 the text was published—according to Genet's wishes—as the first page of the posthumous collection of his political writings and interviews, L'ennemi déclaré.1 Such a placement demands more than an anecdotal explanation. What is a personal ad doing as the preface to a collection of political writings? Albert Dichy, the editor of the collection, notes that this text has the status of an exception: "the text that opens the collection does not belong to the group of writings that make up the book as a whole" [ED 331]. Each of the other texts emerges from Genet's involvement in specific political events (the [End Page 85] 1968 Chicago Democratic National Convention, the Chatila massacre) or with named political figures and groups (the Palestinians, the Black Panthers, the Baader-Meinhof group, George Jackson, Angela Davis), whereas the form of the ad that he wrote for Gysin seems to number it among his literary works. Nonetheless, this eccentric text remains the first in the collection—"en tête de l'ouvrage," is Dichy's phrase—and gives the book its title. Rather than serving as an introduction to the other texts, this text, by virtue of its exceptional form, is a challenge addressed directly to the public. Dichy himself is the first to accept this challenge. His editorial notice passes quickly from anecdote to interpretation:The fact that Genet wished to see the publication of his political articles preceded by this precise text has an unavoidable impact, not only on the identity of the author, now partially assimilable to a fictional character ("J.G. cherche, ou recherche..."), but also on the way in which we read the different texts in the collection, now that we have been given the general tone and the note of secrecy.[ED 331]These suggestions are apt enough... (shrink)

Based on an unfinished manuscript by the late philosopher Dallas Willard, this book makes the case that the 20th century saw a massive shift in Western beliefs and attitudes concerning the possibility of moral knowledge, such that knowledge of the moral life and of its conduct is no longer routinely available from the social institutions long thought to be responsible for it. In this sense, moral knowledge--as a publicly available resource for living--has disappeared. Via a detailed survey of main developments (...) in ethical theory from the late 19th through the late 20th centuries, Willard explains philosophy's role in this shift. In pointing out the shortcomings of these developments, he shows that the shift was not the result of rational argument or discovery, but largely of arational social forces--in other words, there was no good reason for moral knowledge to have disappeared. The Disappearance of Moral Knowledge is a unique contribution to the literature on the history of ethics and social morality. Its review of historical work on moral knowledge covers a wide range of thinkers including T.H Green, G.E Moore, Charles L. Stevenson, John Rawls, and Alasdair MacIntyre. But, most importantly, it concludes with a novel proposal for how we might reclaim moral knowledge that is inspired by the phenomenological approach of Knud Logstrup and Emmanuel Levinas. Edited and eventually completed by three of Willard's former graduate students, this book marks the culmination of Willard's project to find a secure basis in knowledge for the moral life. (shrink)

The sublime evokes our awe, our terror, and our wonder. Applied first in ancient Greece to the heights of literary expression, in the 18th-century the sublime was extended to nature and to the sciences, enterprises that viewed the natural world as a manifestation of God's goodness, power, and wisdom. In The Scientific Sublime, Alan Gross reveals the modern-day sublime in popular science. He shows how the great popular scientists of our time--Richard Feynman, Stephen Hawking, Steven Weinberg, Brian Greene, Lisa (...) Randall, Rachel Carson, Stephen Jay Gould, Steven Pinker, Richard Dawkins, and E. O. Wilson--evoke the sublime in response to fundamental questions: How did the universe begin? How did life? How did language? These authors maintain a tradition initiated by Joseph Addison, Edmund Burke, Immanuel Kant, and Adam Smith, towering 18th-century figures who adapted the literary sublime first to nature, then to science--though with one crucial difference: religion has been replaced wholly by science. In a final chapter, Gross explores science's attack on religion, an assault that attempts to sweep permanently under the rug two questions science cannot answer: What is the meaning of life? What is the meaning of the good life? (shrink)

In ancient times, when persuasion played the role of public force, eloquence was necessary. Of what use would it be today, when public force has replaced persuasion. One needs neither art nor metaphor to say such is my pleasure. Jean Jacques Rousseau.

Mark Blaug's contributions to economics were many and significant. This essay provides a review of Mark Blaug: Rebel with Many Causes, edited by Marcel Boumans and Matthias Klaes, which collects papers from a set of conferences organized in Blaug's memory.

This paper presents three theses on the kind of human kinds represented by masculinity and femininity: (1) Genders are taken to be generic realities, (2) complementary kinds of a kind, and (3) normative and valid organizations of intention in community. Analogies are considered between gender and temperament, culture, race, age, and sexual orientation.

Hooks are the particular elements in works of art that are in fact specially compelling for individual subjects. Hooks have their own kind of aesthetic meaningfulness that is obscured by the calculations of cultural manipulators, on the one hand, and by leading aesthetic theories’ insistence upon subordinating parts of a work to the whole, on the other. Hook appreciation inspires desirable adjustments in those theories.

Why should past occurrences matter to us as such? Are they in fact meaningful in a specifically historical way, or do they only become meaningful in being connected to other sorts of meaning—political or speculative, for example—as many notable theorists imply? Ranke and Oakeshott affirmed a purely historical meaningfulness but left its nature unclear. The purpose of this essay is to confirm historical meaningfulness by arguing that our commanding practical interest in how we share action with other actors is distinctively (...) engaged by presumed information about past occurrences. We recognize that past occurrences have determined the conditions of action sharing, constraining our practice with regard to which actors we share practical reality with and which compounding actions we may or must join in progress. (shrink)

“Intrinsic value” is a perplexing notion in that it purports to establish a relationship with a thing that cannot in fact be established by the valuing subject butcan only be welcomed. An important sense of “good” expresses the non-axiological side of shared flourishing. We do need the concept of intrinsic value to put our different kinds of value in order, but we can also recognize that the positing of intrinsic value is grounded on events of appeal wherein perceived beings promise (...) distinctive forms of benign partnership with their perceivers. The ideal of appeal maximalism can displace the problematic ideal of unrestricted intrinsic value as a basis for expanding the circle of moral consideration. (shrink)

A historically responsible agent is willing to be somehow in practical solidarity with all other actors with whom action is shared over time. The responsible idea of a most-inclusive history encompasses future occurrence together with all that has happened already. Despite our lack of control over future developments, we assess possible future ages as bright or dark and position ourselves as contributors to multigenerational endeavors that we hope will be long-term successes in themselves and part of a larger historical optimality. (...) Informed by the evolutionary sciences, a plausible modern envisioning of the future must include evolutionary innovations and surprises on a very long time scale. The historically responsible agent will therefore take seriously efforts like Olaf Stapledon’s Last and First Men to imagine the new powers and goals of our distantly posthuman future sharers in history. (shrink)

Once upon a time, I attempted to create a web-based one-stop-shop for global poverty relief called the Maximin Project. Drawing on aspects of that experience, I show that although some existing ways of rating and recommending charities are significantly better than others, there remain certain challenges that need to be overcome. Specifically, I argue that the emerging Effective Altruism movement, with its emphasis on measurable effectiveness, runs the risk of neglecting a whole range of projects that are necessary for a (...) well-rounded approach to human development. I briefly model an alternative virtue-based approach that calls on the personal insight of individual researchers and practitioners in addition to the more directly experimental approach of organizations like GiveWell. (shrink)

The history of economic thought has always attracted some of the brightest minds in the discipline. These chroniclers of development have helped form our current views, and it is no surprise that many among them have been at the forefront of new movements in the history of ideas. This notable collection summarizes the work of these key historians of economics and attempts to quantify their impact. Some of the writers covered, such as Friedrich Hayek and Joan Robinson, are already assured (...) of their place among the greatest economists of the twentieth century, but the collection also stresses the influence of those still active in shaping our perceptions - including Mark Blaug, Samuel Hollander and Donald Winch. Written by an impressive roster of contributors, many of whom are themselves well-known in the history of economic thought, this key book features writings from John Creedy, Roger Blackhouse and Neil De Marchi, as well as the editors of the collection as a whole, Warren J. Samuels and Steven Medema. (shrink)

If the mental is subject to indeterminacy, does this rule out the possibility of psychophysical laws? One might think so. However, Jaegwon Kim has argued for the existence of a kind of psychophysical law that is not obviously susceptible to problems posed by indeterminacy. I begin by introducing a weak and relatively uncontroversial indeterminacy thesis. Then, by appealing to constraints on theories of strong supervenience and to general considerations about the nature of indeterminacy, I argue that even Kim’s laws cannot (...) accommodate indeterminacy. The result is an argument against the possibility of Kim‐Style psychophysical laws. (shrink)

The transactivation response‐DNA binding protein of 43 kDa (TDP‐43) is an aggregation‐prone nucleic acid‐binding protein linked to the etiology of Amyotrophic Lateral Sclerosis (ALS) and Frontotemporal Lobar Degeneration (FTLD). These conditions feature the accumulation of insoluble TDP‐43 aggregates in the neuronal cytoplasm that lead to cell death. The dynamics between cytoplasmic and nuclear TDP‐43 are altered in the disease state where TDP‐43 mislocalizes to the cytoplasm, disrupting Nuclear Pore Complexes (NPCs), and ultimately forming large fibrils stabilized by the C‐terminal prion‐like (...) domain. Here, we review three emerging and poorly understood aspects of TDP‐43 biology linked to its aggregation. First, how post‐translational modifications in the proximity of TDP‐43 N‐terminal domain (NTD) promote aggregation. Second, how TDP‐43 engages FG‐nucleoporins in the NPC, disrupting the pore permeability and function. Third, how the importin α/β heterodimer prevents TDP‐43 aggregation, serving both as a nuclear import transporter and a cytoplasmic chaperone. (shrink)

"To my knowledge, there has never [before] been a volume that analyzes, in one place, the actual language of science--those elements of thinking that are acknowledged to be the basis of scientific thought. . . . [Thus] this is a very important book, contributing to several fields: science, education, rhetoric, medicine, and perhaps even philosophy. . . . Darian's erudition is truly astonishing." --Celest A. Martin, Associate Professor, College Writing Program, University of Rhode Island From astronomy to zoology, the practice (...) of science proceeds from scientific ways of thinking. These patterns of thought, such as defining and classifying, hypothesizing and experimenting, form the building blocks of all scientific endeavor. Understanding how they work is therefore an essential foundation for everyone involved in scientific study or teaching, from elementary school students to classroom teachers and professional scientists. In this book, Steven Darian examines the language of science in order to analyze the patterns of thinking that underlie scientific endeavor. He draws examples from university science textbooks in a variety of disciplines, since these offer a common, even canonical, language for scientific expression. Darian identifies and focuses in depth on nine patterns--defining, classifying, using figurative language, determining cause and effect, hypothesizing, experimenting, visualizing, quantifying, and comparing--and shows how they interact in practice. He also traces how these thought modes developed historically from Pythagoras through Newton. (shrink)

To the French critics who originally labelled certain films noir it seemed that a class of Hollywood products had gone darker during the war years – as though a dark filter had been placed over the lens. Films were not designed or marketed as noir, and retrospectively noir's status as a genre is still unsettled. Yet there is widespread interest today in experiencing diverse films as noir, and even in using a Noir Filter in Instagram and video games. Pursuing the (...) filter clue, the noir experience can be thought of as subjection to a dark filtering of narrative. Image filtering styles can help to resolve not only the puzzle of noir's quasi-genre status but also an issue of general interest in aesthetic experience. The use of image filters makes a distinctively powerful contribution to the experience of a work or genre, or to the cultural dominance of an aesthetic regime, due to the unobtrusive formative role it plays in the economy of experience. (shrink)

An original metaphysical proposal building on classical and contemporary sources. In Centering and Extending, Steven G. Smith retrieves and refashions some of the best ideas of classical and early modern metaphysics to support insight into the natures of mental and material beings and their relations. Avoiding what he critiques as distortive paths of idealism, materialism, repressive monism, and overly permissive pluralism, Smith builds his framework on centering and extending as universal principles of formation. Identifying the basic consistency of being (...) with these principles in symmetrical partnership enables a naturalist process view that, unlike Whitehead’s, does not overbalance toward the subjective and teleological and, unlike Deleuze and Guattari’s, does not overbalance toward the material and chaotic. This view supports useful conceptions of mind and matter, form and energy, reason and cause, and a layered world order without relying on a blind concept of supervenience or emergence. It also respects and reinforces a division of roles between metaphysical sense-making and spiritual determinations of meaningfulness. Steven G. Smith is Jennie Carlisle Golding Professor of Philosophy at Millsaps College. He is the author of several books, including Worth Doing, also published by SUNY Press. (shrink)

I argue that Gold & Stoljar's “trivial neuron doctrine” is not in fact trivial. Many familiar positions in the philosophy of mind run afoul of it, and it is unclear that even those whom Gold & Stoljar identify as adherents of the trivial neuron doctrine can be comfortably described as such.

In this book, Steven G. Smith focuses on the guidance function in language and scripture and evaluates the assumptions and ideals of scriptural religion in global perspective. He brings to language studies a new pragmatic emphasis on the shared modeling of life-in-the-world by communicators constantly depending on each other's guidance. Using concepts of axiality and axialization derived from Jaspers' description of the 'Axial Age', he shows the essential role of scripture in the historical progress of communicative action. This volume (...) clarifies the formative power of scriptures in religions of the 'world religion' type and brings scripture into philosophy of religion as a major cross-cultural category of study, thereby helping philosophy of religion find a needed cross-cultural footing. (shrink)