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)

Background: This study tested the core tenets of how facial scars are perceived by characterizing layperson response to faces with scars. The authors predicted that scars closer to highly viewed structures of the face (i.e., upper lip and lower lid), scars aligned against resting facial tension lines, and scars in the middle of anatomical subunits of the face would be rated less favorably. Methods: -/- Volunteers aged 18 years and older from the United States were recruited through Amazon’s Mechanical Turk (...) to complete a face rating survey. Scars were digitally added in different locations and orientations for a total of 14 unique scars added to each face. Each participant rated 50 different faces on confidence, friendliness, and attractiveness. Data were analyzed using linear mixed effects models. Results: -/- A total of 88,850 ratings [82,990 scarred (93.4 percent)] for attractiveness, friendliness, and confidence were analyzed. In univariate linear mixed effects models, the presence of a facial scar did not significantly impact attractiveness (β = 0.016, SE = 0.014, z = 1.089, p = 0.276). A second set of linear mixed effects models identified interactions between location, subunit placement, and orientation to facial tension lines. Scars located on the lower lid mid subunit perpendicular to facial tension lines were rated less attractive (β = −0.065, SE = 0.028, z = −2.293, p = 0.022). Conclusions: -/- On average, a single well-healed facial scar does not negatively affect first impressions of attractiveness, confidence, or friendliness. Specific scar location and orientation combinations, however, such as a perpendicular scar at the mid-lower eyelid, may result in lower perceived attractiveness, confidence, and friendliness. (shrink)

Most recent work on the nature of experiment in physics has focused on "big science"--the large-scale research addressed in Andrew Pickering's Constructing Quarks and Peter Galison's How Experiments End. This book examines small-scale experiment in physics, in particular the relation between theory and practice. The contributors focus on interactions among the people, materials, and ideas involved in experiments--factors that have been relatively neglected in science studies. The first half of the book is primarily philosophical, with contributions from Andrew Pickering, Peter (...) Galison, Hans Radder, Brian Baigrie, and Yves Gingras. Among the issues they address are the resources deployed by theoreticians and experimenters, the boundaries that constrain theory and practice, the limits of objectivity, the reproducibility of results, and the intentions of researchers. The second half is devoted to historical case studies in the practice of physics from the early nineteenth to the early twentieth century. These chapters address failed as well as successful experimental work ranging from Victorian astronomy through Hertz's investigation of cathode rays to Trouton's attempt to harness the ether. Contributors to this section are Jed Z. Buchwald, Giora Hon, Margaret Morrison, Simon Schaffer, and Andrew Warwick. With a lucid introduction by Ian Hacking, and original articles by noted scholars in the history and philosophy of science, this book is poised to become a significant source on the nature of small-scale experiment in physics. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Painting in Tongues:Faith-Based Languages of Formalist ArtKevin Z. Moore (bio)A philosophical problem is created by the incoherence between the earlier state and the later one.—Ian Hacking, Historical OntologyWhatever is happening to evidence-based treatment? When the facts contravene conventional wisdom, go with the anecdotes?—New York Times, "Science Times," February 14, 2006Cephalopods have a visual language that may be considered artful; humans have written and vocalized languages that are sometimes artful; (...) but it is doubtful that there is such a thing as a "language of art," particularly in the sense that twentieth-century formalists and their critics carelessly speak of one or many. Cephalopods flash color-forms on their hides to communicate intents and emotions, maybe even to project plans. They speak in tattooed tongues through neurologically embossed patterns and color field designs displayed on the skin. The large-eyed sea creatures communicate voicelessly in a visual language of pure color-forms, each species perhaps having its own dialect. Though not a full or official language by any means, their color-forms display the ideal that twentieth-century formalist artists sought to graphically realize (referential and conceptual immediacy, emotional coloring, communication via pure, that is, nonpictorial, form). Formalist inspired artists and their critic-expositors describe abstract pattern-painting as though it were a visual language equal to that of the cephalopod. Yet [End Page 40] although we can reasonably imagine cephalopods getting the correct message by observation, we cannot reasonably imagine observers getting any message at all, let alone the intended message, from abstractionist painting. This casts suspicion on the formalists' claims about visual language. Observers cannot and famously do not get anything "out" of formalist pattern paintings, though they do project quite a lot "into" them. The telling difference between octopus and artist? Cephalopods communicate visually—their survival depends on it. Formalists do not, though the survival and flourishing of their art depends upon the belief that they do.Notably, explanations of what exactly a formalist language of art is goes missing from accounts of sense and reference in the relevant literature, where we learn that this or that painting exhibits this or that language of art but never how this or that painting functions as a language of any sort. The "language of art" phrase, it seems, has the same force as mentioning truth or existence: it explains nothing. Talk of a language of art suggests merely that a painting exhibits a communicative intent; it does not explain how that intent is linguistically mediated. The phrase is ostensive and nominal, not descriptive and expository.Prior to the twentieth century there may have been some justification for this language since art was shaped by objective reference, identifiable codes (sign and symbol systems), and recognizable scenes (compositions) that made painting a language-like public media. Observers could see immediately or "read" paintings by observation as though they were reading a language. Images were shaped by observation; reference was fixed by convention. The formalist revolution in the late nineteenth and early twentieth centuries dismantled the public character of representation in painting. After the revolution, the new art that appeared was a sort of visual humpty-dumptyism, to invoke a language metaphor. Formalist imagery functioned the way words did for Mr. Carroll's Mr. Dumpty: they meant what the artist intended them to mean and not what observation or convention constrained them to mean. Reference and meaning were as arbitrary as the visual forms chosen to bear them. Once a communicative medium, painting became an expressive medium, the values of the latter superseding those of the former wholly or in part. Even when a formalist painting alluded to a conventional arrangement (a landscape or portrait, for example), the composition was as visually parodic of genre as Mr. Carroll's Jabberwocky was verbally parodic of narrative poetry, preserving syntax (form) but not the integrity of the formal agents of communication. Both are forms of nonsense, yet only one intentionally so.Styles of formalism do not facilitate the observation of intended reference; they are not effective forms of communication because they are not languages. If the basic function of a visual art is to communicate a specific... (shrink)

The purpose of this study is to develop a religion-science relationship attitude scale prepared to determine the approaches of the students studying at the faculties of theology/Islamic sciences towards the religion-science relationship. The relationship between religion and science constitutes one of the most important intersection points of religion, science and philosophy. In the modern period, the debates on the questioning of this relationship have reached quite advanced dimensions with the influence of different elements. In recent years, one of the environments (...) in which this situation has intensified in our country is theology/Islamic sciences faculties. Especially for the students of these faculties, it is important to deal with the issue from different dimensions. However, the studies are mainly carried out in the theoretical dimension and it can be said that the quantitative dimensions are inadequate. In this respect, the article is the first example in the field. Ian G. Barbour's quartet typology, which is one of the most comprehensive studies on the religion-science relationship was used as a basis in the formation of the scale questions. Especially conflict, separation and reconciliation approaches in this typology have been decisive. Three different study groups were formed and a total of 594 students studying at Atatürk University Faculty of Theology were studied. In the development of the scale, exploratory sequential pattern model from mixed method research was used and there are four steps. In the first step, the items were written by the researchers and corrections were made by taking the opinions of the field experts. In the second step, an application was made for item analysis; in the third step, an application was made for exploratory factor analysis (EFA), and in the fourth and final step, confirmatory factor analysis (CFA) was performed. According to the findings obtained from the study, a scale consisting of two sub-dimensions called conflict/separation and dialogue/consensus was developed. The reliability of the scale was analyzed with the internal consistency (cronbach alpha) method, and the cronbach alpha values for each sub-dimension were calculated as.90 for the conflict sub-dimension and.77 for the dialogue consensus sub-dimension. These results indicate that each sub-dimension of the scale is reliable. (shrink)

The twentieth century is drawing to a close, and the twenty-first century is about to begin. Please tell us how you see the past, and look forward to the future.

[Ḥeleḳ rishon] Or Torah, ʻavodat ha-tefilah, darkhe ha-Ḥasidut, ḥinukh ha-banim, maśa u-matan be-emunah, midot ṭovot -- Ḥeleḳ sheni. Miḳṿeh meṭaher, ʻavodat ha-tefilah, hanhagat ha-shulḥan, or Torah.

The first few years of driving is a critical period when driving skills develop and the driving style is established. While the actual driving skills improve during the first few years of driving, a novice driver’s view of himself/herself as a safe and/or skilful driver also develops rapidly. The aim of this study was to investigate self-evaluated driver safety and perceptual-motor skills among different age groups of young drivers, along with the relationships between self-evaluated skills and driving behaviour. The sample (...) consisted of a stratified random sample of 18–25-year-old drivers from the Finnish driving licence register. The questionnaires, which included the Driver Skill Inventory, Driver Behaviour Questionnaire and background information, were completed and returned by a total of 1,058 participants. While female drivers assessed their safety skills to be higher than their perceptual-motor skills, the opposite was true for males. In both sexes, perceptual-motor skills increased, and safety skills decreased with experience. Perceptual-motor skills correlated negatively with safety skills, lapses and errors, but positively with aggressive and ordinary violations. Safety skills correlated negatively with all DBQ variables. Safety orientation seems to be most clearly reflected in deliberate aberrant driving behaviours. Sex differences were observed in the development of behaviours and skills, perceptual-motor skills only increased with age among males, while safety skills decreased through experience among both men and women. Results showed that driving experience was strongly related to both driving style and the drivers’ view of their skills, highlighting the importance of the first few years of driving. (shrink)

In the present study, we examine the interactive effect of vowels on Mandarin fricative sibilants using a passive oddball paradigm to determine whether theHEIGHTfeatures of vowels can spread on the surface and influence preceding consonants with unspecified features. The stimuli are two pairs of Mandarin words ([sa] ∼ [ʂa] and [su] ∼ [ʂu]) contrasting in vowelHEIGHT([LOW] vs. [HIGH]). Each word in the same pair was presented both as standard and deviant, resulting in four conditions (/standard/[deviant]: /sa/[ʂa]∼ /ʂa/[sa]and /su/[ʂu]∼ /ʂu/[su]). In (...) line with the Featurally Underspecified Lexicon (FUL) model, asymmetric patterns of processing were found in the [su] ∼ [ʂu] word pair where both the MMN (mismatch negativity) and LDN (late discriminative negativity) components were more negative in /su/[ʂu](mismatch) than in /ʂu/[su](no mismatch), suggesting the spreading of the feature [HIGH] from the vowel [u] to [ʂ] on the surface. In the [sa] ∼ [ʂa] pair, however, symmetric negativities (for both MMN and LDN) were observed as there is no conflict between the surface feature [LOW] from [a] to [ʂ] and the underlying specified feature [LOW] of [s]. These results confirm that not all features are fully specified in the mental lexicon: features of vowels can spread on the surface and influence surrounding unspecified segments. (shrink)

Here the distinguished philosopher Ian Hacking uses the MPD epidemic and its links with the contemporary concept of child abuse to scrutinize today's moral...

One of Ian Hacking's earliest publications, this book showcases his early ideas on the central concepts and questions surrounding statistical reasoning. He explores the basic principles of statistical reasoning and tests them, both at a philosophical level and in terms of their practical consequences for statisticians. Presented in a fresh twenty-first-century series livery, and including a specially commissioned preface written by Jan-Willem Romeijn, illuminating its enduring importance and relevance to philosophical enquiry, Hacking's influential and original work has been revived for (...) a new generation of readers. (shrink)

I propose to explain Kant’s novel claim, in the Critique of Pure Reason, that all judgments have a formal modality. I begin by distinguishing the modality of a judgment’s form from the modality of its content, and I suggest that the former is peculiar in merely affecting the subject’s understanding of his own act of judging. I then contrast the modal account of such an understanding (in terms of the possibility and actuality of a judgment) with the traditional, non-modal understanding (...) of it (in terms of the giving and withholding of assent). I conclude by suggesting that Kant prefers the former because he conceives of knowledge on Aristotle’s model: as a progress in the mind from capacity to act. (shrink)

Kant conceived of 'critique' as a kind of winnowing exercise, with the aim of separating the wheat of good metaphysics from the chaff of bad. He used a less familiar metaphor to make this point, namely, that of 'the fiery test of critique'-not a medieval ordeal of trial by fire, but rather a metallurgical assay, or cupellation, a procedure in which ore samples are tested for their precious-metal content. When seen in this light, critique has a positive, investigatory side: it (...) seeks not merely to eliminate bad, 'dogmatic' metaphysics but also to uncover what of philosophical value might be contained in traditional speculative metaphysics. In this comprehensive study of the Transcendental Dialectic in Kant's Critique of Pure Reason, Proops argues that Kant uncovered two nuggets of value: the indirect proof of Transcendental Idealism afforded by the resolution of the Antinomies, and a defence of theoretically grounded 'doctrinal beliefs' in a wise and great originator, on the one hand, and in an afterlife, on the other. This examination of critique engages with Kant's views on a number of central problems in philosophy and meta-philosophy: the explanation of the enduring human impulse towards metaphysics, the correct philosophical method, the limits of self-knowledge, the possibility of human freedom, the resolution of metaphysical paradox, the justification of faith, the nature of scepticism, and the role of 'as if' reasoning in natural science. (shrink)

This article analyses the phenomenon of epistemic injustice within contemporary healthcare. We begin by detailing the persistent complaints patients make about their testimonial frustration and hermeneutical marginalization, and the negative impact this has on their care. We offer an epistemic analysis of this problem using Miranda Fricker's account of epistemic injustice. We detail two types of epistemic injustice, testimonial and hermeneutical, and identify the negative stereotypes and structural features of modern healthcare practices that generate them. We claim that these stereotypes (...) and structural features render ill persons especially vulnerable to these two types of epistemic injustice. We end by proposing five avenues for further work on epistemic injustice in healthcare. (shrink)

Žižek as comedian: jokes in the service of philosophy.

Humanity has sat at the center of philosophical thinking for too long. The recent advent of environmental philosophy and posthuman studies has widened our scope of inquiry to include ecosystems, animals, and artificial intelligence. Yet the vast majority of the stuff in our universe, and even in our lives, remains beyond serious philosophical concern. In _Alien Phenomenology, or What It’s Like to Be a Thing_, Ian Bogost develops an object-oriented ontology that puts things at the center of being—a philosophy in (...) which nothing exists any more or less than anything else, in which humans are elements but not the sole or even primary elements of philosophical interest. And unlike experimental phenomenology or the philosophy of technology, Bogost’s alien phenomenology takes for granted that _all_ beings interact with and perceive one another. This experience, however, withdraws from human comprehension and becomes accessible only through a speculative philosophy based on metaphor. Providing a new approach for understanding the experience of things _as_ things, Bogost also calls on philosophers to rethink their craft. Drawing on his own background as a videogame designer, Bogost encourages professional thinkers to become makers as well, engineers who construct things as much as they think and write about them. (shrink)

The 'Why ain'cha rich?' argument for one-boxing in Newcomb's problem allegedly vindicates evidential decision theory and undermines causal decision theory. But there is a good response to the argument on behalf of causal decision theory. I develop this response. Then I pose a new problem and use it to give a new 'Why ain'cha rich?' argument. Unlike the old argument, the new argument targets evidential decision theory. And unlike the old argument, the new argument is sound.

A survey of Euclid's Elements, this text provides an understanding of the classical Greek conception of mathematics and its similarities to modern views as well as its differences. It focuses on philosophical, foundational, and logical questions — rather than strictly historical and mathematical issues — and features several helpful appendixes.

Block () highlights two experimental studies of neglect patients which, he contends, provide ‘dramatic evidence’ for unconscious seeing. In Block's hands this is the highly non-trivial thesis that seeing of the same fundamental kind as ordinary conscious seeing can occur outside of phenomenal consciousness. Block's case for it provides an excellent opportunity to consider a large body of research on clinical syndromes widely held to evidence unconscious perception. I begin by considering in detail the two studies of neglect to which (...) Block appeals. I show why their interpretation as evidence of unconscious seeing faces a series of local difficulties. I then explain how, even bracketing these issues, a long-standing but overlooked problem concerning our criterion for consciousness problematizes the appeal to both studies. I explain why this problem is especially pressing for Block given his view that phenomenal consciousness overflows access consciousness. I further show that it is epidemic—not only affecting all report-based studies of unconscious seeing in neglect, but also analogous studies of the condition most often alleged to show unconscious seeing, namely blindsight. (shrink)

Democracy and justice are often mutually antagonistic ideas, but in this innovative book Ian Shapiro shows how and why they should be pursued together. Justice must be sought democratically if it is to garner legitimacy in the modern world, he claims, and democracy must be justice-promoting if it is to sustain allegiance over time. _Democratic Justice_ meets these criteria, offering an attractive vision of a practical path to a better future. Wherever power is exercised in human affairs, Shapiro argues, the (...) lack of democracy will be experienced as injustice. The challenge is to democratize social relations so as to diminish injustice, but to do this in ways that are compatible with people’s values and goals. Shapiro shows how this can be done in different phases of the human life cycle, from childhood through the adult worlds of work and domestic life, retirement, old age, and approaching death. He spells out the implications for pressing debates about authority over children, the law of marriage and divorce, population control, governing the firm, basic income guarantees, health insurance, retirement policies, and decisions made by and for the infirm elderly. This refreshing encounter between political philosophy and practical politics will interest all those who aspire to bequeath a more just world to our children than the one we have inherited. (shrink)

The _Mozi_ is a key philosophical work written by a major social and political thinker of the fifth century B.C.E. It is one of the few texts to survive the Warring States period and is crucial to understanding the origins of Chinese philosophy and two other foundational works, the _Mengzi_ and the _Xunzi_. Ian Johnston provides an English translation of the entire _Mozi_, as well as the first bilingual edition in any European language to be published in the West. His (...) careful translation reasserts the significance of the text's central doctrines, and his annotations and contextual explanations add vivid historical and interpretive dimensions. Part 1 of the _Mozi_ is called the "Epitomes" and contains seven short essays on the elements of Mohist doctrine. Part 2, the "Core Doctrines," establishes the ten central tenets of Mo Zi's ethical, social, and political philosophy, while articulating his opposition to Confucianism. Part 3, the "Canons and Explanations," comprises observations on logic, language, disputation, ethics, science, and other matters, written particularly in defense of Mohism. Part 4, the "Dialogues," presents lively conversations between Master Mo and various disciples, philosophical opponents, and potential patrons. Part 5, the "Defense Chapters," details the principles and practices of defensive warfare, a subject on which Master Mo was an acknowledged authority. Now available to English-speaking readers of all backgrounds, the Mozi is a rich and varied text, and this bilingual edition provides an excellent tool for learning classical Chinese. (shrink)

Discovering Spinoza's early modern psychology some 35 years into his own clinical practice, Ian Miller now gives shape to this connection through a close reading of Spinoza's key philosophical ideas. With a rigorous and expansive analysis of Spinoza's Ethics in particular, Miller explores how Spinozan thought simultaneously empowered the original conceptual direction of psychoanalytic thinking, and anticipated the field's contemporary theoretical dimensions. Miller offers a detailed overview of the philosopher's psychoanalytic reception from the early work of German-language psychoanalytic thinkers, such (...) as Freud and Andreas Lou-Salome, forward into its Anglophone reception, influencing both mid-century humanistic American psychoanalysis as well as anticipating thinkers such as Bion and Winnicott. Covering key concepts in psychoanalytic theory and clinical practice, this book demonstrates how knowledge of Spinoza's philosophical work can help to both illuminate and improve modern psychoanalytic therapies. (shrink)

This is an introductory 2001 textbook on probability and induction written by one of the world's foremost philosophers of science. The book has been designed to offer maximal accessibility to the widest range of students and assumes no formal training in elementary symbolic logic. It offers a comprehensive course covering all basic definitions of induction and probability, and considers such topics as decision theory, Bayesianism, frequency ideas, and the philosophical problem of induction. The key features of this book are a (...) lively and vigorous prose style; lucid and systematic organization and presentation of ideas; many practical applications; a rich supply of exercises drawing on examples from such fields as psychology, ecology, economics, bioethics, engineering, and political science; numerous brief historical accounts of how fundamental ideas of probability and induction developed; and a full bibliography of further reading. (shrink)

What is the purpose of perception? And how might the answer to this question help distinguish perception from other mental processes? Block’s landmark book, The.

Arab countries; intellectual life; congresses.

Do Morals Matter? is an accessible and informed guide to contemporary ethical issues that reflects upon the intersection of religion and morality. An informal yet informed guide through the key ethical issues we are facing today, from moral decision making in business and medicine, to the uncertainty of war and terrorism, and the condition of our environment. Reflects on religion’s intersection with morality, exploring the challenge of pluralism in major world religions, and the question of Humanism and God’s role in (...) ethics. Considers the forecast of future situations that will be affected by today’s ethical decisions. Questions what accounts for the variances in ethical beliefs in different cultures, and how we properly reassess our conceptions of ethical standards as new issues arise. Written by the internationally regarded Ian Markham, Dean of Hartford Seminary and author of numerous books on world religions and ethics. (shrink)