Researchers in the areas of prehistoric art, anthropology of art, psychology, philosophy, feminist art theory, histories of visual arts education, and the emerging field of neuroaesthetics have created new interest within education in the writings of John Dewey related to art and experiential learning as found in Art as Experience and Experience and Nature. Thus, another look at Dewey’s life experience and his philosophy of experiential art may bring renewed support for visual arts education in the twenty-first century. Dewey has (...) influenced the public education system through his philosophy of experience and his less well-known theory of aesthetics. The definition that Dewey provided for education centers on the.. (shrink)

When searching for concepts in memory—as in the verbal fluency task of naming all the animals one can think of—people appear to explore internal mental representations in much the same way that animals forage in physical space: searching locally within patches of information before transitioning globally between patches. However, the definition of the patches being searched in mental space is not well specified. Do we search by activating explicit predefined categories and recall items from within that category, or do we (...) activate and recall a connected sequence of individual items without using categorical information, with each item recalled leading to the retrieval of an associated item in a stream, or both? Using semantic representations in a search of associative memory framework and data from the animal fluency task, we tested competing hypotheses based on associative and categorical search models. Associative, but not categorical, patch transitions took longer to make than position-matched productions, suggesting that categorical transitions were not true transitions. There was also clear evidence of associative search even within categorical patch boundaries. Furthermore, most individuals' behavior was best explained by an associative search model without the addition of categorical information. Thus, our results support a search process that does not use categorical information, but for which patch boundaries shift with each recall and local search is well described by a random walk in semantic space, with switches to new regions of the semantic space when the current region is depleted. (shrink)

Distributional models of semantics learn word meanings from contextual co‐occurrence patterns across a large sample of natural language. Early models, such as LSA and HAL (Landauer & Dumais, 1997; Lund & Burgess, 1996), counted co‐occurrence events; later models, such as BEAGLE (Jones & Mewhort, 2007), replaced counting co‐occurrences with vector accumulation. All of these models learned from positive information only: Words that occur together within a context become related to each other. A recent class of distributional models, referred to (...) as neural embedding models, are based on a prediction process embedded in the functioning of a neural network: Such models predict words that should surround a target word in a given context (e.g., word2vec; Mikolov, Sutskever, Chen, Corrado, & Dean, 2013). An error signal derived from the prediction is used to update each word's representation via backpropagation. However, another key difference in predictive models is their use of negative information in addition to positive information to develop a semantic representation. The models use negative examples to predict words that should not surround a word in a given context. As before, an error signal derived from the prediction prompts an update of the word's representation, a procedure referred to as negative sampling. Standard uses of word2vec recommend a greater or equal ratio of negative to positive sampling. The use of negative information in developing a representation of semantic information is often thought to be intimately associated with word2vec's prediction process. We assess the role of negative information in developing a semantic representation and show that its power does not reflect the use of a prediction mechanism. Finally, we show how negative information can be efficiently integrated into classic count‐based semantic models using parameter‐free analytical transformations. (shrink)

Frequency effects are pervasive in studies of language, with higher frequency words being recognized faster than lower frequency words. However, the exact nature of frequency effects has recently been questioned, with some studies finding that contextual information provides a better fit to lexical decision and naming data than word frequency ( Adelman et al., 2006 ). Recent work has cemented the importance of these results by demonstrating that a measure of the semantic diversity of the contexts that a word occurs (...) in provides a powerful measure to account for variability in word recognition latency ( Johns et al., 2012, 2015 ; Jones et al., 2012 ). The goal of the current study is to extend this measure to examine bilingualism and aging, where multiple theories use frequency of occurrence of linguistic constructs as central to accounting for empirical results ( Gollan et al., 2008 ; Ramscar et al., 2014 ). A lexical decision experiment was conducted with four groups of subjects: younger and older monolinguals and bilinguals. Consistent with past results, a semantic diversity variable accounted for the greatest amount of variance in the latency data. In addition, the pattern of fits of semantic diversity across multiple corpora suggests that bilinguals and older adults are more sensitive to semantic diversity information than younger monolinguals. (shrink)

The literature contains a disconnect between accounts of how humans learn lexical semantic representations for words. Theories generally propose that lexical semantics are learned either through perceptual experience or through exposure to regularities in language. We propose here a model to integrate these two information sources. Specifically, the model uses the global structure of memory to exploit the redundancy between language and perception in order to generate inferred perceptual representations for words with which the model has no perceptual experience. We (...) test the model on a variety of different datasets from grounded cognition experiments and demonstrate that this diverse set of results can be explained as perceptual simulation (cf. Barsalou, Simmons, Barbey, & Wilson, 2003) within a global memory model. (shrink)

Book reviewed in this article:Bauman, Robert P., Jackson, Peter and Lawrence, Joanne T. From Promise to Performance: A Journey of Transformation at SmithKline Beecham.

It's not uncommon for scientists to give different explanations of the same phenomenon, but we currently lack clear guidelines for deciding whether to treat such accounts as competitors. This article discusses how science studies can help create tools and guidelines for thinking about whether explanations compete. It also specifies how one family of discourse rules enables there to be differing accounts that appear to compete but don't. One hopes that being more aware of the linguistic mechanisms making compatible accounts appear (...) to compete will prevent people from wasting resources trying to show which account is right. (shrink)

Book reviewed in this article: Bauman, Robert P., Jackson, Peter and Lawrence, Joanne T. From Promise to Performance: A Journey of Transformation at SmithKline Beecham.

Preface 9 PART I: RELIGIOUS, SCIENTIFIC, AND PHILOSOPHICAL BACKGROUND Introduction to Part I 19 1. The Bible 27 2. Natural Theology 33 William Paley 3. On the Origin of Species 38 Charles Darwin 4. Objections to Mr. Darwin’s Theory of the Origin of Species 65 Adam Sedgwick 5. The Origin of Species 73 Thomas H. Huxley 6. What Is Darwinism? 82 Charles Hodge 7. Darwinism as a Metaphysical Research Program 105 Karl Popper 8. Karl Popper’s Philosophy of Biology 116 (...) class='Hi'>Michael Ruse 9. Human Nature: One Evolutionist’s View 136 Francisco Ayala 10. Universal Darwinism 158 Richard Dawkins PART II: CREATION SCIENCE AND THE McLEAN CASE Introduction to Part II 187 11. The Creationists 192 Ronald L. Numbers 12. Creation, Evolution, and the Historical Evidence 231 Duane T. Gish 13. Witness Testimony Sheet: McLean v. Arkansas Board of Education 253 Michael Ruse 14. United States District Court Opinion: McLean v. Arkansas Board of Education 279 Judge William R. Overton 15. The Demise of the Demarcation Problem 312 Larry Laudan 16. Science at the BarùCauses for Concern 331 Larry Laudan 17. Pro Judice 337 Michael Ruse 18. More on Creationism 345 Larry Laudan 19. Commentary: Philosophers at the BarùSome Reasons for Restraint 350 Barry R. Gross PART III: INTELLIGENT DESIGN CREATIONISM AND THE KITZMILLER CASE Introduction to Part III 369 20. But Isn’t It Creationism? The Beginnings of "Intelligent Design" in the Midst of the Arkansas and Louisiana Litigation 377 Nick Matzke 21. What Is Darwinism? 414 Phillip E. Johnson 22. Is It Science Yet? Intelligent Design, Creationism, and the Constitution 426 Matthew Brauer, Barbara Forrest, and Steven G. Gey 23. Kitzmiller v. Dover Area School District Expert Witness Testimony 434 Michael Behe 24. Kitzmiller v. Dover Area School District Expert Report 456 Robert T. Pennock 25. A Step toward the Legalization of Science Studies 485 Steve Fuller 26. What Is Wrong with Intelligent Design? 495 Elliott Sober 27. United States District Court Memorandum Opinion: Kitzmiller, et al. v. Dover Area School District, et al. 506 Judge John E. Jones II 28. Can’t Philosophers Tell the Difference between Science and Religion? Demarcation Revisited 536 Robert T. Pennock. (shrink)

Ecclesia and Ethics considers the subject of Ecclesial Ethics within its theological, theoretical and exegetical contexts. Part one presents the biblical-theological foundations of an ecclesial ethic – examining issues such as creation, and Paul's theology of the Cross. Part two moves on to examine issues of character formation and community. Finally, part three presents a range of exegetical applications, which examine scripture and ethics in praxis. These essays look at hot-button issues such as the 'virtual self' in the digital age, (...) economics, and attitudes to war. The collection includes luminaries such as N.T. Wright, Michael J. Gorman, Stanley Hauerwas and Dennis Hollinger, as well as giving space to new theological and exegetical voices. As such Ecclesia and Ethics provides a challenging and contemporary examination of modern ethical debates in the light of up-to-date theology and exegesis. (shrink)

Over the last few decades, virtue has become increasingly important in philosophy, psychology, cognitive science, and education. However, as each of these disciplines approaches virtue from a decidedly different perspective, it has proven difficult to come up with an understanding of virtue that satisfies the standards of all four disciplines. In their book, Jennifer Wright, Michael Warren, and Nancy Snow attempt to put forward such an understanding.

I claim that one way thought experiments contribute to scientific progress is by increasing scientific understanding. Understanding does not have a currently accepted characterization in the philosophical literature, but I argue that we already have ways to test for it. For instance, current pedagogical practice often requires that students demonstrate being in either or both of the following two states: 1) Having grasped the meaning of some relevant theory, concept, law or model, 2) Being able to apply that theory, concept, (...) law or model fruitfully to new instances. Three thought experiments are presented which have been important historically in helping us pass these tests, and two others that cause us to fail. Then I use this operationalization of understanding to clarify the relationships between scientific thought experiments, the understanding they produce, and the progress they enable. I conclude that while no specific instance of understanding (thus conceived) is necessary for scientific progress, understanding in general is. (shrink)

Scientists imagine for epistemic reasons, and these imaginings can be better or worse. But what does it mean for an imagining to be epistemically better or worse? There are at least three metaepistemological frameworks that present different answers to this question: epistemological consequentialism, deontic epistemology, and virtue epistemology. This paper presents empirical evidence that scientists adopt each of these different epistemic frameworks with respect to imagination, but argues that the way they do this is best explained if scientists are fundamentally (...) epistemic consequentialists about imagination. (shrink)

John D. Norton defends an empiricist epistemology of thought experiments, the central thesis of which is that thought experiments are nothing more than arguments. Philosophers have attempted to provide counterexamples to this claim, but they haven’t convinced Norton. I will point out a more fundamental reason for reformulation that criticizes Norton’s claim that a thought experiment is a good one when its underlying logical form possesses certain desirable properties. I argue that by Norton’s empiricist standards, no thought experiment is ever (...) justified in any deep sense due to the properties of its logical form. Instead, empiricists should consider again the merits of evaluating thought experiments more like laboratory experiments, and less like arguments. (shrink)

Joshua Greene has argued that the empirical findings of cognitive science have implications for ethics. In particular, he has argued (1) that people’s deontological judgments in response to trolley problems are strongly influenced by at least one morally irrelevant factor, personal force, and are therefore at least somewhat unreliable, and (2) that we ought to trust our consequentialist judgments more than our deontological judgments when making decisions about unfamiliar moral problems. While many cognitive scientists have rejected Greene’s dual-process theory of (...) moral judgment on empirical grounds, philosophers have mostly taken issue with his normative assertions. For the most part, these two discussions have occurred separately. The current analysis aims to remedy this situation by philosophically analyzing the implications of moral dilemma research using the CNI model of moral decision-making – a formalized, mathematical model that decomposes three distinct aspects of moral-dilemma judgments. In particular, we show how research guided by the CNI model reveals significant conceptual, empirical, and theoretical problems with Greene’s dual-process theory, thereby questioning the foundations of his normative conclusions. (shrink)

The causal premise of the evolutionary debunking argument contends that human moral beliefs are explained by the process of natural selection. While it is universally acknowledged that such a premise is fundamental to the debunker’s case, the vast majority of philosophers focus instead on the epistemic premise that natural selection does not track moral truth and the resulting skeptical conclusion. Recently, however, some have begun to concentrate on the causal premise. So far, the upshot of this small but growing literature (...) has been that the causal premise is likely false due to the seemingly persuasive evidence that our moral beliefs are in fact not the result of natural selection. In this paper, I argue that this view is mistaken. Specifically, I advocate the Innate Biases Model, which contends that there is not only compelling evidence for an evolved cognitive capacity for acquiring norms but also for the existence of an evolutionarily instilled set of cognitive biases that make it either more or less likely that we adopt certain moral beliefs. (shrink)

Thought experiments, models, diagrams, computer simulations, and metaphors can all be understood as tools of the imagination. While these devices are usually treated separately in philosophy of science, this paper provides a unified account according to which tools of the imagination are epistemically good insofar as they improve scientific imaginings. Improving scientific imagining is characterized in terms of epistemological consequences: more improvement means better consequences. A distinction is then drawn between tools being good in retrospect, at the time, and in (...) general. In retrospect, tools are evaluated straightforwardly in terms of the quality of their consequences. At the cutting edge, tools are evaluated positively insofar as there is reason to believe that using them will have good consequences. Lastly, tools can be generally good, insofar as their use encourages the development of epistemic virtues, which are good because they have good epistemic consequences. (shrink)

While philosophers hold that it is patently absurd to blame robots or hold them morally responsible [1], a series of recent empirical studies suggest that people do ascribe blame to AI systems and robots in certain contexts [2]. This is disconcerting: Blame might be shifted from the owners, users or designers of AI systems to the systems themselves, leading to the diminished accountability of the responsible human agents [3]. In this paper, we explore one of the potential underlying reasons for (...) robot blame, namely the folk's willingness to ascribe inculpating mental states or "mens rea" to robots. In a vignette-based experiment (N=513), we presented participants with a situation in which an agent knowingly runs the risk of bringing about substantial harm. We manipulated agent type (human v. group agent v. AI-driven robot) and outcome (neutral v. bad), and measured both moral judgment (wrongness of the action and blameworthiness of the agent) and mental states attributed to the agent (recklessness and the desire to inflict harm). We found that (i) judgments of wrongness and blame were relatively similar across agent types, possibly because (ii) attributions of mental states were, as suspected, similar across agent types. This raised the question - also explored in the experiment - whether people attribute knowledge and desire to robots in a merely metaphorical way (e.g., the robot "knew" rather than really knew). However, (iii), according to our data people were unwilling to downgrade to mens rea in a merely metaphorical sense when given the chance. Finally, (iv), we report a surprising and novel finding, which we call the inverse outcome effect on robot blame: People were less willing to blame artificial agents for bad outcomes than for neutral outcomes. This suggests that they are implicitly aware of the dangers of overattributing blame to robots when harm comes to pass, such as inappropriately letting the responsible human agent off the moral hook. (shrink)

This is the introduction to the Routledge Companion to Thought Experiments.

Can an ugly experiment be a good experiment? Philosophers have identified many beautiful experiments and explored ways in which their beauty might be connected to their epistemic value. In contrast, the present chapter seeks out (and celebrates) ugly experiments. Among the ugliest are those being designed by AI algorithms. Interestingly, in the contexts where such experiments tend to be deployed, low aesthetic value correlates with high epistemic value. In other words, ugly experiments can be good. Given this, we should conclude (...) that beauty is not generally necessary or sufficient for epistemic value, and increasing beauty will not generally tend to increase epistemic value. (shrink)

Neuropsychiatrist Michael T. H. Wong argues that the notions of soul, mind, brain, self and consciousness are no longer adequate on their own to explain humanity. He formulates a “third discourse” that brings philosophy neuroscience theology and psychiatry together as an innovative multilayered narrative for the person in the twenty-first century.

Thought experiments are a means of imaginative reasoning that lie at the heart of philosophy, from the pre-Socratics to the modern era, and they also play central roles in a range of fields, from physics to politics. The Routledge Companion to Thought Experiments is an invaluable guide and reference source to this multifaceted subject. Comprising over 30 chapters by a team of international contributors, the Companion covers the following important areas: -/- · the history of thought experiments, from antiquity to (...) the trolley problem and quantum non-locality; -/- · thought experiments in the humanities, arts, and sciences, including ethics, physics, theology, biology, mathematics, economics, and politics; -/- · theories about the nature of thought experiments; -/- · new discussions concerning the impact of experimental philosophy, cross-cultural comparison studies, metaphilosophy, computer simulations, idealization, dialectics, cognitive science, the artistic nature of thought experiments, and metaphysical issues. -/- This broad ranging Companion goes backwards through history and sideways across disciplines. It also engages with philosophical perspectives from empiricism, rationalism, naturalism, skepticism, pluralism, contextualism, and neo-Kantianism to phenomenology. This volume will be valuable for anyone studying the methods of philosophy or any discipline that employs thought experiments, as well as anyone interested in the power and limits of the mind. (shrink)

Most philosophical explorations of responsibility discuss the topic solely in terms of metaphysics and the "free will" problem. By contrast, these essays by leading philosophers view responsibility from a variety of perspectives -- metaphysics, ethics, action theory, and the philosophy of law. After a broad, framing introduction by the volume's editors, the contributors consider such subjects as responsibility as it relates to the "free will" problem; the relation between responsibility and knowledge or ignorance; the relation between causal and moral responsibility; (...) the difference, if any, between responsibility for actions and responsibility for omissions; the metaphysical requirements for making sense of "collective" responsibility; and the relation between moral and legal responsibility. The contributors include such distinguished authors as Alfred R. Mele, John Martin Fischer, George Sher, and Frances Kamm, as well as important rising scholars. Taken together, the essays in _Action, Ethics, and Responsibility_ offer a breadth of perspectives that is unmatched by other treatments of the topic. Contributors: Joseph Keim Campbell, David Chan, Randolph Clarke, E.J. Coffman, John Martin Fischer, Helen Frowe, Todd Jones, Frances Kamm, Antti Kauppinen, Alfred R. Mele, Michael O'Rourke, Paul Russell, Robert F. Schopp, George Sher, Harry S. Silverstein, Saul Smilansky, Donald Smith, Charles T. Wolfe The hardcover edition does not include a dust jacket. (shrink)

Scientists imagine constantly. They do this when generating research problems, designing experiments, interpreting data, troubleshooting, drafting papers and presentations, and giving feedback. But when and how do scientists learn how to use imagination? Across 6 years of ethnographic research, it has been found that advanced career scientists feel comfortable using and discussing imagination, while graduate and undergraduate students of science often do not. In addition, members of marginalized and vulnerable groups tend to express negative views about the strength of their (...) imaginations and the general usefulness of imagination in science. After introducing these findings and discussing the typical relationship between a scientist and their imagination across a career, we argue that reducing the number or power of active imaginations in science is epistemically counterproductive. We suggest several ways to bring imagination back into science in a more inclusive way, especially through courses on imagination for scientists, good role models, and exemplar-based learning. (shrink)

Despite its profound influence on modern thought, psychoanalysis remains peripheral to the concerns of most analytic philosophers. I suggest that one of the main reasons for this is intellectual reservation, and explore some philosophical arguments against psychoanalysis that may be contributing to such reservation. Specifically, I address the objections that psychoanalytic theories are unfalsifiable, that the purported findings of psychoanalysis are readily explained as due to suggestion, that there is a troubling lack of consensus in psychoanalytic interpretation, and that there (...) is a lack of support for psychoanalysis within mainstream science. I also consider a major obstacle to the acceptance of contemporary defenses of psychoanalysis: the “bad lot” argument against Inference to the Best Explanation. My conclusion is that, though these objections have some merit, they are not sufficient reasons for not taking psychoanalytic ideas seriously. (shrink)

Imagination is extremely important for science, yet very little is known about how scientists actually use it. Are scientists taught to imagine? What do they value imagination for? How do social and disciplinary factors shape it? How is the labor of imagining distributed? These questions should be high priority for anyone who studies or practices science, and this paper argues that the best methods for addressing them are qualitative. I summarize a few preliminary findings derived from recent interview-based and observational (...) qualitative studies that I have performed. These finding include: (i) imagination is only valued for use in addressing maximally specific problems, and only when all else fails; (ii) younger scientists and scientists who are members of underrepresented groups express less positive views about imagination in general, and have less confidence in their own imaginations; (iii) while scientists seem to employ various epistemological frameworks to evaluate imaginings, overall they appear to be epistemic consequentialists about imagination, and this holds also for their evaluations of the tools they use to extend the power of their imaginations. I close by discussing the epistemic and ethical consequences of these findings, and then suggesting a few research avenues that could be explored next as we move forward in the study of scientific imagination. (shrink)

As Nelson Goodman highlighted, there are two main senses of “abstract” that can be found in discussions about abstract art. On the one hand, a representation is abstract if it leaves out certain features of its target. On the other hand, something can be abstract to the extent that it does not represent a concrete subject. The first sense of “abstract” is well-known in philosophy of science. For example, philosophers discuss mathematical models of physical, biological, and economic systems as being (...) abstract in this sense. However, it is the second sense that dominates discussions of abstract art in aesthetics. For example, abstract art was (and is) considered revolutionary precisely for being non-figurative. Through an analysis of artists including Kandinsky, Malevich, and Mondrian, we develop a reading of this second sense, which we call “generative abstraction,” as opposed to “subtractive” abstraction. Generative abstraction is a process in which a new artifact is created which does not represent the initial concrete target system that inspired it (if there was one), where the artifact’s features are explored for their own sake, and where the “language” of the new artifact is in some way more “universal.” Focusing on this sense of abstraction is helpful in revealing the complexity of the process of crafting an abstract artifact, in problematizing the notion that abstraction can always be un-done (or concretized), as well as revealing new ways for abstractions to be epistemically (un)successful. (shrink)

Sometimes we learn through the use of imagination. The epistemology of imagination asks how this is possible. One barrier to progress on this question has been a lack of agreement on how to characterize imagination; for example, is imagination a mental state, ability, character trait, or cognitive process? This paper argues that we should characterize imagination as a cognitive ability, exercises of which are cognitive processes. Following dual process theories of cognition developed in cognitive science, the set of imaginative processes (...) is then divided into two kinds: one that is unconscious, uncontrolled, and effortless, and another that is conscious, controlled, and effortful. This paper outlines the different epistemological strengths and weaknesses of the two kinds of imaginative process, and argues that a dual process model of imagination helpfully resolves or clarifies issues in the epistemology of imagination and the closely related epistemology of thought experiments. (shrink)

Metaphors are found all throughout science: in published papers, working hypotheses, policy documents, lecture slides, grant proposals, and press releases. They serve different functions, but perhaps most striking is the way they enable understanding, of a theory, phenomenon, or idea. In this paper, we leverage recent advances on the nature of metaphor and the nature of understanding to explore how they accomplish this feat. We attempt to shift the focus away from the epistemic value of the content of metaphors, to (...) the epistemic value of the metaphor’s consequences. Many famous scientific metaphors are epistemically good, not primarily because of what they say about the world, but because of how they cause us to think. Specifically, metaphors increase understanding either by improving our sets of representations, or by making it easier for us to encode and process data about complex subjects by changing how we are disposed to conceptualize those subjects. This view hints towards new positions concerning testimonial understanding, factivity, abilities, discovery via metaphor, and the relation between metaphors and models. (shrink)

Scientists recognize the necessity of imagination for solving tough problems. But how does the cognitive faculty responsible for daydreaming help in solving scientific problems? Philosophers claim that imagination is informative only when it is constrained to be maximally realistic. However, using a case study from space science, we show that scientists use imagination intentionally to break reality-oriented constraints. To do this well, they first target low-confidence constraints, and then higher-confidence constraints, until a plausible solution is found. This paper exemplifies a (...) new approach to epistemology of imagination that focuses on sets of imaginings (rather than individual imaginings), and responsible (rather than reliable) imaginings. (shrink)

이 연구에서 본인은 construal 이라는 상식적인 심리학적 개념에 대한 철학적 활용에 관하여 예시하고자 한다. Construal 이라는 것은 하나가 다른면에서 경험되어지는 심리적 상태이다. 가장 영향력 있는 철학적 활용으로는 이해관계에 근거한 construal로써 정서에 관한 Robert C. Roberts의 이론이여왔다. 하지만 본인은 이 개념은 아카라시아나 자기통찰 그리고 도교적 사고를 포함하는 몇 가지 다른 영역에서도 활용성을 가지고 있다고 주장하는 바이다. 전반적으로 이 연구가 이처럼 과소평가되는 개념에 대한 철학적 탐색이 더 이루어 질수 있는 자극이 되기를 바란다.

In lieu of an abstract, here is a brief excerpt of the content:Hermeneutics, Neuroscience and PsychiatryMichael T. H. Wong, MBBS, MD, MA, MDiv, PhD, FRCPsych, FRANZCP, FHKAM (bio)Hermeneutic practice in mental health has been a theme in Philosophy, Psychiatry, & Psychology (PPP) since its very beginnings. In this essay I argue that hermeneutics, the theory and practice of interpretation, promotes therapeutic interaction between mental health professionals, patients and their family.Why does this patient present in such a way at this particular (...) point in time? The distressing symptoms are there. The changes in behavior are obvious. Impairments of functions are hurting. A mental illness clearly runs in the family. There were early losses of loved ones, physical abuse at home, bullying by peers and self-medication with drugs and alcohol. Three in four adults with a mental illness first experienced that before they turned 24. The brain goes through major reorganization during adolescence and early adulthood. If synaptic pruning went wrong, psychoses emerged. When stresses activated the hypothalamic–pituitary–adrenal axis the elevated cortisol level impacted the size and function of the hippocampus and amygdala in the genetically vulnerable; anxiety, depression, bipolar, and personality disorders developed. The patient needs a voice/language to describe all these experiences and events and the psychiatrist needs a discourse to make sense of them.Eisenberg laments the swings between "brainlessness" and "mindlessness" in psychiatry. Engel argues for a "biopsychosocial" discourse. The major challenge for psychiatry is how to organize clinical information of different nature (categories, dimensions, narratives; i.e., objective vs. subjective, personal vs. interpersonal) into a coherent and comprehensible account for us all. Mental illnesses are not only neuropsychiatric spectrum disorders but also dysfunctions of social relationship and environmental/ecological adaptation. Psychiatry as a clinical neuroscience per se lacks the semantics to address the rich interactions between the physical, psychological, social, cultural, and spiritual in the illness experience of our patients. Explanation in the diagnostic formulation (objective scientific discourse on cause and effect) and understanding in the patient narrative (subjective ordinary everyday discourse on significance and meaning) are irreducible to each other (Wong, 2018). They instead interact with one another to achieve an integrative formulation, not through merging different discourses into a single assertion/monologue but via the dialectic/dialogue of "explaining more in order to understand better," as Ricoeur puts it, and between "the whole and the parts," as Schleiermacher highlights.This "therapeutic hermeneutic circle" of "explanation vs understanding" and "the whole vs the parts" includes symptoms behavior function and life events. It correlates between bio-psychosociocultural-spiritual dimensions/perspectives and does not reduce them to any particular/single [End Page 13] stance. The whole integrates the parts and the parts enrich the whole. It explains but does not explain away. It understands through an articulation of meaning and significance. This discourse is a multilayered (bio-psycho-social-cultural-spiritual) personal narrative that formulates diagnosis and care in a correlative (linking different voices/discourses) and non-reductive (no particular voice/discourse is prejudiced against) manner that is comprehensible to us all (Wong, 2021).PPP will be an excellent forum for discussing clinical hermeneutics in the future. In this digital era of social media and virtual reality, hermeneutics has the never-ending task to tackle the unprecedented challenges to meaning illness and health posed by polarizing discourses.Michael T. H. Wong Michael T.H. Wong, MBBS, MD, MA, MDiv, PhD, FRCPsych, FRANZCP, FHKAM, is Hon Clinical Professor, Department of Psychiatry, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, HKSAR, China. Michael is Chair, Section of Philosophy & Humanities in Psychiatry, World Psychiatric Association. He is an Organizational Partner & International Lead with The Collaborating Centre for Values-Based Practice in Health and Social Care, St Catherine's College Oxford. He is Advisor to the Chinese Health Foundation of Australia.ReferencesWong M. T. H. (2018). Ricoeur and the third discourse of the person: From philosophy and neuroscience to psychiatry and theology. London: Lexington Books. Google ScholarWong, M. T. H. (2021). Values, meanings, hermeneutics and mental health. In Stoyanov, D., Fulford, K. M. W. F., Stanghellini, G., Van Staden, W., & Wong, M. TH. (Eds.), International perspectives in values-based mental health practice: Case studies and commentaries (pp. 341–349... (shrink)

We might think that thought experiments are at their most powerful or most interesting when they produce new knowledge. This would be a mistake; thought experiments that seek understanding are just as powerful and interesting, and perhaps even more so. A growing number of epistemologists are emphasizing the importance of understanding for epistemology, arguing that it should supplant knowledge as the central notion. In this chapter, I bring the literature on understanding in epistemology to bear on explicating the different ways (...) that thought experiments increase three important kinds of understanding: explanatory, objectual and practical. (shrink)

In this article, we analyse the evidential value of the corpus of experimental philosophy. While experimental philosophers claim that their studies provide insight into philosophical problems, some philosophers and psychologists have expressed concerns that the findings from these studies lack evidential value. Barriers to evidential value include selection bias and p-hacking. To find out whether the significant findings in x-phi papers result from selection bias or p-hacking, we applied a p-curve analysis to a corpus of 365 x-phi chapters and articles. (...) Our results suggest that this corpus has evidential value, although there are hints of p-hacking in a few parts of the x-phi corpus. (shrink)

_This sweeping discussion of the philosophy of evolutionary biology is based on the revolutionary idea that species are not kinds of organisms but wholes composed of organisms._.

For a long time, we humans have excelled in mimicking nature with the goal of exploiting it. Now, with the existential threat of global climate change on the horizon, the ever-provocative Michael Taussig asks what it would take to change ourselves so as to save our world. Acknowledging the possibility of collapse and our all-too-human impotence in the face of accelerating disaster, this book is not solely a reflection on our tragic condition but also a theoretical effort to reckon (...) with those human faculties that have fed our ambition for dominance over nature. At stake is an ultimate undoing of our sense of control--a "mastery of non-mastery." Animated by the urgency of a planet approaching meltdown, Taussig captures our moment, and all its attendant mythologies, with luminescent clarity. (shrink)

What role does the imagination play in scientific progress? After examining several studies in cognitive science, I argue that one thing the imagination does is help to increase scientific understanding, which is itself indispensable for scientific progress. Then, I sketch a transcendental justification of the role of imagination in this process.

A coherent treatment of the flow of ideas throughout Darwin's works, this volume presents a unified theoretical system that explains Darwin's investigations, evaluating the literature from a historical, scientific, and philosophical perspective.