The design process in Kashmiri carpet weaving is distributed over a number of actors and artifacts and is mediated by a weaving notation called talim. The script encodes entire design in practice-specific symbols. This encoded script is decoded and interpreted via design-specific conventions by weavers to weave the design embedded in it. The cognitive properties of this notational system are described in the paper employing cognitive dimensions (CDs) framework of Green (People and computers, Cambridge University Press, Cambridge, 1989) and Blackwell (...) et al. (Cognitive technology: instruments of mind—CT 2001, LNAI 2117, Springer, Berlin, 2001). After introduction to the practice, the design process is described in ‘The design process’ section which includes coding and decoding of talim. In ‘Cognitive dimensions of talim’ section, after briefly discussing CDs framework, the specific cognitive dimensions possessed by talim are described in detail. (shrink)

Cognition is predominantly seen as information processing in multidisciplinary landscape of cognition studies, despite having had a formidable opposition from embodied and embedded perspectives in the last few decades. This paper analyses cognitive processes involved in different task domains of Kashmiri carpet weaving practice from the theoretical frameworks of cognitivism and situated-distributed cognition. After introducing the practice and its task domains (Section −1), paradigmatic cognitive activities involved in them are discussed and how these are explained by the two theoretical paradigms (...) and why the latter framework explains these processes better (Section-2). During this discussion (Section – 3), a way via culture impacts the practice and resultant cognitive operations turns out to be workspace of the actors. (shrink)

There is more than one way to think. Most people are familiar with the systematic, rule-based thinking that one finds in a mathematical proof or a computer program. But such thinking does not produce breakthroughs in mathematics and science nor is it the kind of thinking that results in significant learning. Deep thinking is a different and more basic way of using the mind. It results in the discontinuous "aha!" experience, which is the essence of creativity. It is (...) at the heart of every paradigm shift or reframing of a problematic situation. The identification of deep thinking as the default state of the mind has the potential to reframe our current approach to technological change, education, and the nature of mathematics and science. For example, there is an unbridgeable gap between deep thinking and computer simulations of thinking. Many people suspect that such a gap exists, but find it difficult to make this intuition precise. This book identifies the way in which the authentic intelligence of deep thinking differs from the artificial intelligence of "big data" and "analytics." Deep thinking is the essential ingredient in every significant learning experience, which leads to a new way to think about education. It is also essential to the construction of conceptual systems that are at the heart of mathematics and science, and of the technologies that shape the modern world. Deep thinking can be found whenever one conceptual system morphs into another. The sources of this study include the cognitive development of numbers in children, neuropsychology, the study of creativity, and the historical development of mathematics and science. The approach is unusual and original. It comes out of the author's lengthy experience as a mathematician, teacher, and writer of books about mathematics and science, such as How Mathematicians Think: Using Ambiguity, Contradiction, and Paradox to Create Mathematics and The Blind Spot: Science and the Crisis of Uncertainty. (shrink)

Brain implants, such as Deep Brain Stimulation (DBS), which are designed to improve motor, mood and behavioural pathology, present unique challenges to our understanding of identity, agency and free will. This is because these devices can have visible effects on persons' physical and psychological properties yet are essentially undetectable when operating correctly. They can supplement and compensate for one's inherent abilities and faculties when they are compromised by neuropsychiatric disorders. Further, unlike talk therapy or pharmacological treatments, patients need not (...) ‘do’ anything for the treatment to take effect. If one accepts, as we argue here, that brain implants are unique among implantable types of devices, then this can have significant implications for what it means to persist as the same person and be the source of one's thoughts and actions. By examining two of the most common indications for DBS in current use, namely in the motor (Parkinson's Disease) and psychiatric (Major Depression) domains, we further argue that although DBS, as it is currently applied, does not necessarily represent a unique threat to personal identity and agency per se, it introduces an unprecedented ‘third party’ into the debate on these concepts. In this way, DBS can be used as a tool to begin probing, both conceptually and empirically, some of philosophy's most perennial metaphysical questions. (shrink)

We are living through a new phase in human development where much of everyday life – at least in the most technologically developed parts of the world – has come to depend upon our interaction with “smart” artefacts. Alongside this increasing adoption and ever-deepening reliance on intelligent machines, important changes have been taking place, often in the background, as to how we think of ourselves and how we conceptualize our relationship with technology. As we design, create and learn to live (...) with a new order of artefacts which exhibit behavior that, were it to be carried out by human beings would be seen as intelligent, the ways in which we conceptualize intelligence, minds, reasoning and related notions such as self and agency are undergoing profound shifts. We argue that the basic background assumptions informing our concepts of mind, and the underlying conceptual scheme structuring our reasoning about minds has recently been transformed in the process. This shift has changed the nature and quality of both our folk understanding of mind, our scientific psychology, and the philosophical problems that the interaction of these realms produce. Many of the traditional problems in the philosophy of mind have become reconfigured in the process. This introduction sets the scene for our book that treats this reconfiguration of our concepts of mind and of technology, and the new casting of philosophical problems this reconfiguration engenders. (shrink)

We are sympathic with LeDoux’s primary goal here ─ to get a solid scientific grip on what has been dubbed one of the most elusive, important questions in scientific discourse, to identify the underlying biomolecular processes that give rise to consciousness. However, we have issues with the way he goes about it and have tried to present them in a constructive manner. Our commentary is built around our theory of the origins of minds, dubbed the Cellular Basis of Consciousness (CBC), (...) and the empirical research that supports it. The CBC is based on the proposition that life and sentience are co-terminous, that life without subjectivity, feeling, without valenced perception, without the capacity to learn and lay down memories would have been an evolutionary dead-end. It could not have survived in the hostile, chaotic world in flux that dominated our planet four billion years ago. The biological sciences operate on the principle that all species, extant and extinct, evolved from the first prokaryotes. The CBC theory is founded on the principle that all expressions of emotion, perception, and cognition did as well. (shrink)

This is a little book of profound questions--unknowns that address the secrets of our world, our civilization, the meaning of life. Here are the deepest riddles that have fascinated, obsessed, and haunted the greatest thinkers of our time, including Nobel laureates, cosmologists, philosophers, economists, prize-winning novelists, religious scholars, and more than 250 leading scientists, artists, and theorists. In The Last Unknowns, John Brockman, publisher of Edge.org, asks "a mind-blowing gathering of innovative thinkers" (Booklist): "What is 'The Last Question,' your (...) last question, the question for which you will be remembered?"--Page [4] of cover. (shrink)

Focusing, in part, on the influence of Jurassic-era seas on the philosophical beliefs of the Hopi and Zuni cultures of the American Southwest, the article investigates the fluid cognitive processes of the human mind and methodically investigates the presence of historical content in works from oracy-based peoples. Formal analyses of the embedded data encoded in historical oral narratives are provided and are based on Barber and Barber’s mytho-linguistic framework. The application of Roger C. Echo-Hawk’s methodology for the assessment of (...) narrative works that can contribute to cultural affiliation in consultations relating to the Native American Graves Protection Repatriation Act is considered as a possible model for similar change in the areas of assessing the relevance of material culture. The necessity of creating a similar critical framework for evaluations of the visual arts of ancient pre-historic era in the United States in keeping with the trend in narrative studies is discussed in support of the development of ‘period eye’ perspectives on which future objective studies may be based. The valid contexts an approximated period eye perspective can provide for more authentic replications of complex metaphorical relationships and cosmographies on the visual plane is demonstrated in the article’s final drawings. (shrink)

“Deep Thoughts” and “Fuzzy Memories” were fan favorites as transitional pieces between larger set pieces on Saturday Night Live in the 1990s. Delivered over soothing music and serene images, Jack Handey's bits never showed his face on screen, calling to mind his observation that “the face of a child can say it all, especially the mouth part of the face.” Some dark and offbeat takes on the human condition often have an existentialist feel. Existentialism is a philosophy concerned (...) with “the individual, the experience of choice, and the absence of rational understanding of the universe with a consequent dread or sense of absurdity in human life.” In other words, human beings find themselves trying to live meaningful lives without truly comprehending the nature of what that meaning may be, or whether or not true meaning could even exist. (shrink)

A pre-test/post-test, intervention-versus-control experimental design was used to examine the effects, mechanisms and moderators of deep breathing on state anxiety and test performance in 122 Primary 5 students. Taking deep breaths before a timed math test significantly reduced self-reported feelings of anxiety and improved test performance. There was a statistical trend towards greater effectiveness in reducing state anxiety for boys compared to girls, and in enhancing test performance for students with higher autonomic reactivity in test-like situations. The latter (...) moderation was significant when comparing high-versus-low autonomic reactivity groups. Mediation analyses suggest that deep breathing reduces state anxiety in test-like situations, creating a better state-of-mind by enhancing the regulation of adaptive-maladaptive thoughts during the test, allowing for better performance. The quick and simple technique can be easily learnt and effectively applied by most children to immediately alleviate some of the adverse effects of test anxiety on psychological well-being and academic performance. (shrink)

Combining philosophical reflections with deep self-exploration to delve into the ancient mystery of death and rebirth, this book emphasizes collective rather than individual transformation. Drawing upon twenty years of experience working with nonordinary states, the author argues that when the deep psyche is hyper-simulated using Stanislaw Grof's powerful therapeutic methods, the healing that results sometimes extends beyond the individual to the collective unconscious of humanity itself.

Deep learning is currently the most prominent and widely successful method in artificial intelligence. Despite having played an active role in earlier artificial intelligence and neural network research, philosophers have been largely silent on this technology so far. This is remarkable, given that deep learning neural networks have blown past predicted upper limits on artificial intelligence performance—recognizing complex objects in natural photographs and defeating world champions in strategy games as complex as Go and chess—yet there remains no universally (...) accepted explanation as to why they work so well. This article provides an introduction to these networks as well as an opinionated guidebook on the philosophical significance of their structure and achievements. It argues that deep learning neural networks differ importantly in their structure and mathematical properties from the shallower neural networks that were the subject of so much philosophical reflection in the 1980s and 1990s. The article then explores several different explanations for their success and ends by proposing three areas of inquiry that would benefit from future engagement by philosophers of mind and science. (shrink)

This book provides a framework for thinking about foundational philosophical questions surrounding machine learning as an approach to artificial intelligence. Specifically, it links recent breakthroughs in deep learning to classical empiricist philosophy of mind. In recent assessments of deep learning's current capabilities and future potential, prominent scientists have cited historical figures from the perennial philosophical debate between nativism and empiricism, which primarily concerns the origins of abstract knowledge. These empiricists were generally faculty psychologists; that is, they argued (...) that the active engagement of general psychological faculties-such as perception, memory, imagination, attention, and empathy-enables rational agents to extract abstract knowledge from sensory experience. This book explains a number of recent attempts to model roles attributed to these faculties in deep neural network based artificial agents by appeal to the faculty psychology of philosophers such as Aristotle, Ibn Sina (Avicenna), John Locke David Hume, William James, and Sophie de Grouchy. It illustrates the utility of this interdisciplinary connection by showing how it can provide benefits to both philosophy and computer science: computer scientists can continue to mine the history of philosophy for ideas and aspirational targets to hit on the way to more robustly rational artificial agents, and philosophers can see how some of the historical empiricists' most ambitious speculations can be realized in specific computational systems. (shrink)

Mind Ecologies: Body, Brain, and World: Book Abstract from Columbian University Press -/- Matthew Crippen and Jay Schulkin -/- Pragmatism, a pluralistic philosophy with kinships to phenomenology, Gestalt psychology and embodied cognitive science, is resurging across disciplines. It has growing relevance to literary studies, the arts, and religious scholarship, along with branches of political theory, not to mention our understanding of science. But philosophies and sciences of mind have lagged behind this pragmatic turn, for the most part retaining (...) a central-nervous-system orientation, which pragmatists rejected as far too narrow. -/- Matthew Crippen, a biologically orientated philosopher of mind, and Jay Schulkin, a pioneer in neuroscience, offer an innovative interdisciplinary theory of mind. They argue that pragmatism in combination with phenomenology is not only able to give an unusually persuasive rendering of how we think, feel, experience, and act in the world but also the account most consistent with evidence from cognitive science and neurobiology. Crippen and Schulkin contend that cognition, emotion, and perception are incomplete without action, and in action they fuse together. Not only are we embodied subjects whose thoughts, emotions, and capacities comprise one integrated system; we are living ecologies inseparable from our surroundings, our cultures, and our world. Ranging from social coordination to the role of gut bacteria and visceral organs in mental activity, and touching upon fields such as robotics, artificial intelligence, and plant cognition, Crippen and Schulkin stress the role of aesthetics, emotions, interests, and moods in the ongoing enactment of experience. Synthesizing philosophy, neurobiology, psychology, and the history of science, Mind Ecologies offers a broad and deep exploration of evidence for the embodied, embedded, enacted, and extended nature of mind. (shrink)

In their recent book Radicalizing Enactivism. Basic minds without content, Dan Hutto and Erik Myin make two important criticisms of what they call autopoietic enactivism. These two criticisms are that AE harbours tacit representationalists commitments and that it has too liberal a conception of cognition. Taking the latter claim as its main focus, this paper explores the theoretical underpinnings of AE in order to tease out how it might respond to H&M. In so doing it uncovers some reasons which not (...) only appear to warrant H&M’s initial claims but also seem to point to further uneasy tensions within the AE framework. The paper goes beyond H&M by tracing the roots of these criticisms and apparent tensions to phenomenology and the role it plays in AE’s distinctive conception of strong life-mind continuity. It is highlighted that this phenomenological dimension of AE contains certain unexamined anthropomorphic and anthropogenic leanings which do not sit comfortably within its wider commitment to life-mind continuity. In light of this analysis it is suggested that AE will do well to rethink this role or ultimately run the risk of remaining theoretically unstable. The paper aims to contribute to the ongoing theoretical development of AE by highlighting potential internal tensions within its framework which need to be addressed in order for it to continue to evolve as a coherent paradigm. (shrink)

__Deep in Thought_ provides an introduction to intellectual virtues—the personal qualities and character strengths of good thinkers and learners—and outlines a pragmatic approach for teachers to reinforce them in the classroom._ With a combination of theoretical expertise and practical experience, philosopher Jason Baehr endorses intellectual virtues as a rich, meaningful way to think about and understand the purpose of education. He makes a persuasive case for prioritizing intellectual virtues in the classroom to facilitate deeper learning, encourage lifelong learning, and enrich (...) teacher practice. Baehr profiles nine key virtues that enable learners to initiate the process of learning, maintain forward momentum, and overcome common obstacles. With engaging anecdotes and concrete examples, he presents a wealth of principles, postures, and practices that educators can employ in promoting essential habits of mind such as curiosity, open-mindedness, and intellectual courage. Baehr illustrates how opportunities to practice these intellectual habits can be integrated into the classroom in ways that align with current teaching practices. In addition, he shows how educators can adapt these practices to accommodate students’ identities, developmental abilities, and interests. This thought-provoking book supports all educators, especially middle and high school teachers, in teaching for intellectual virtues. _Deep in Thought_ is a philosophical and yet practical guide to one of the most important aims of education: helping students become skilled thinkers and learners. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Deep Listening and Virtuous Friendship:Spiritual Care in the Context of Religious MultiplicityDuane R. BidwellA monk asked Zen master Yunmen: “What is the teaching of the Buddha’s entire lifetime?” Yunmen answered:“An appropriate response.”1In a pivotal scene from the 1988 film A Fish Called Wanda, con artist Wanda Gershwitz is fed up—finally—with her partner, Otto West. When his jealousy and ersatz intellectualism repeatedly jeopardize their attempts to steal $20 million (...) in diamonds, Wanda yells: “Now let me correct you on a few things, okay? Aristotle was not Belgian. The central message of Buddhism is not ‘Every Man for Himself.’ And the London Underground is not a political movement. Those are all mistakes, Otto, I looked them up.”2 It’s a funny moment, of course. But Otto’s (mis)understanding of Gautama’s teaching demonstrates a challenge in translating a spiritual-religious tradition from one cultural setting to another. Too often, and usually without intention, we are like Otto; we colonize and domesticate unfamiliar ideas, assimilating them into our existing worldview instead of experiencing and accommodating their challenging differences. Otto’s facile appropriation of Buddhism confirms rather than confronts his pre-critical, individualistic, and perhaps Darwinist worldview. A Buddhist caregiver might say that Otto was not “listening deeply” to the myriad voices that shaped his perspective.Similar hazards face someone writing about deep listening in relation to religious multiplicity.3 Deep listening, as a caring practice, “belongs” to the emerging field of Buddhist contemplative care,4 in which it has a technical (although perhaps undertheorized) usage richly informed by Buddhist thought and practice. But when I reflect as a pastoral theologian and spiritual caregiver trained in the Christian traditions of cura animarum, the cure or care of souls, deep listening can become unmoored from its origins. Someone marinated in the discourses and practices of Christian care can easily and perhaps unintentionally conflate deep listening with classic Christian [End Page 3] concepts of care such as the ministry of presence, the practice of unconditional positive regard,5 and the giving of oneself to God for the sake of the care seeker. Although I identify as a Buddhist Christian, habitual Christian views shape my thinking the way a canyon or streambed shapes the flow of water; unless I am attentive to the ways that Buddhist thought and practice seek fissures and carve new channels through the sediment of Christian spiritual care, I risk appropriating or erasing the practices that Buddhist caregivers call deep listening.Mindful of these waters, I want to immerse myself and readers in a particular question: In the context of spiritual care, what happens at the confluence of deep listening and a practitioner’s multiple religious voices? In responding to this question I have three aims: to describe deep listening, to provide a theoretical and experiential account of deep listening in the context of religious multiplicity, and to suggest an image from the Pāli canon that can help practitioners engage religious multiplicity in ways that minimize harm, increase compassion, and realize wisdom. A particular moment in spiritually integrative psychotherapy serves as a touchstone for my reflection; thus, I begin where the canyon creates a slender and fast-moving channel for deep listening: psychotherapy with Julie.6violence, karma, and compassionAt twenty-seven years of age, Julie was a soft-spoken, biracial graduate student who radiated mindful presence. She identifies as Asian American, and with her shaved head and tendency to wear dark colors and dramatic scarves, she might seem a typical LA hipster to other passengers on the commuter train she rode to and from our appointments. One year before our psychotherapeutic work, Julie had been beaten and raped by a boyfriend; subsequent thoughts of suicide led to a brief hospitalization. At that time she was assigned diagnoses of bipolar II and post-traumatic stress disorders. Daily, she swallowed a powerful mood stabilizer; monthly, she visited a psychiatrist. The symptoms of bipolar disorder, substance abuse, addiction, schizophrenia, depression, and suicide were present in her extended family. Julie sought counseling because of tension between what she called her “Buddhist identity” and the mental health diagnoses assigned to her. She said she... (shrink)

(To appear in Philosophy and the Mind Sciences’ Book Symposium for Neuroethics: Agency in the Age of Brain Science (OUP 2023) by Joshua May). In Neuroethics: Agency in the Age of Brain Science (2023), Joshua May arrives at a cautiously optimistic appraisal of deep brain stimulation (DBS) for brain-based disorders. May does not, however, distinguish between disorders that are properly considered neurological and those that are properly considered psychiatric (or psychopathological). After motivating this distinction, I argue that May’s (...) discussion of DBS fails to account for the added complexities and potential ethical harms of DBS for psychiatric conditions. (shrink)

In this paper, we engage in dialogue with Jonathan Pugh, Hannah Maslen, and Julian Savulescu about how to best interpret the potential impacts of deep brain stimulation on the self. We consider whether ordinary people’s convictions about the true self should be interpreted in essentialist or existentialist ways. Like Pugh et al., we argue that it is useful to understand the notion of the true self as having both essentialist and existentialist components. We also consider two ideas from existentialist (...) philosophy – Jean-Paul Sartre and Simone de Beauvoir’s ideas about “bad faith” and “ambiguity” – to argue that there can be value to patients in regarding themselves as having a certain amount of freedom to choose what aspects of themselves should be considered representative of their true selves. Lastly, we consider the case of an anorexia nervosa-patient who shifts between conflicting mind-sets. We argue that mind-sets in which it is easier for the patient and his or her family to share values can plausibly be considered to be more representative of the patient’s true self, if this promotes a well-functioning relationship between the patient and the family. However, we also argue that families are well-advised to give patients room to figure out what such shared values mean to them, since it can be alienating for patients if they feel that others try to impose values on them from the outside. (shrink)

In recent years, the family of algorithms collected under the term ``deep learning'' has revolutionized artificial intelligence, enabling machines to reach human-like performances in many complex cognitive tasks. Although deep learning models are grounded in the connectionist paradigm, their recent advances were basically developed with engineering goals in mind. Despite of their applied focus, deep learning models eventually seem fruitful for cognitive purposes. This can be thought as a kind of biological exaptation, where a physiological structure (...) becomes applicable for a function different from that for which it was selected. In this paper, it will be argued that it is time for cognitive science to seriously come to terms with deep learning, and we try to spell out the reasons why this is the case. First, the path of the evolution of deep learning from the connectionist project is traced, demonstrating the remarkable continuity, and the differences as well. Then, it will be considered how deep learning models can be useful for many cognitive topics, especially those where it has achieved performance comparable to humans, from perception to language. It will be maintained that deep learning poses questions that cognitive sciences should try to answer. One of such questions is the reasons why deep convolutional models that are disembodied, inactive, unaware of context, and static, are by far the closest to the patterns of activation in the brain visual system. (shrink)

Deep neural networks (DNNs) have been playing a significant role in acoustic modeling. Convolutional neural networks (CNNs) are the advanced version of DNNs that achieve 4–12% relative gain in the word error rate (WER) over DNNs. Existence of spectral variations and local correlations in speech signal makes CNNs more capable of speech recognition. Recently, it has been demonstrated that bidirectional long short-term memory (BLSTM) produces higher recognition rate in acoustic modeling because they are adequate to reinforce higher-level representations of (...) acoustic data. Spatial and temporal properties of the speech signal are essential for high recognition rate, so the concept of combining two different networks came into mind. In this paper, a hybrid architecture of CNN-BLSTM is proposed to appropriately use these properties and to improve the continuous speech recognition task. Further, we explore different methods like weight sharing, the appropriate number of hidden units, and ideal pooling strategy for CNN to achieve a high recognition rate. Specifically, the focus is also on how many BLSTM layers are effective. This paper also attempts to overcome another shortcoming of CNN, i.e. speaker-adapted features, which are not possible to be directly modeled in CNN. Next, various non-linearities with or without dropout are analyzed for speech tasks. Experiments indicate that proposed hybrid architecture with speaker-adapted features and maxout non-linearity with dropout idea shows 5.8% and 10% relative decrease in WER over the CNN and DNN systems, respectively. (shrink)

The representations of deep convolutional neural networks (CNNs) are formed from generalizing similarities and abstracting from differences in the manner of the empiricist theory of abstraction (Buckner, Synthese 195:5339–5372, 2018). The empiricist theory of abstraction is well understood to entail infinite regress and circularity in content constitution (Husserl, Logical Investigations. Routledge, 2001). This paper argues these entailments hold a fortiori for deep CNNs. Two theses result: deep CNNs require supplementation by Quine’s “apparatus of identity and quantification” in (...) order to (1) achieve concepts, and (2) represent objects, as opposed to “half-entities” corresponding to similarity amalgams (Quine, Quintessence, Cambridge, 2004, p. 107). Similarity amalgams are also called “approximate meaning[s]” (Marcus & Davis, Rebooting AI, Pantheon, 2019, p. 132). Although Husserl inferred the “complete abandonment of the empiricist theory of abstraction” (a fortiori deep CNNs) due to the infinite regress and circularity arguments examined in this paper, I argue that the statistical learning of deep CNNs may be incorporated into a Fodorian hybrid account that supports Quine’s “sortal predicates, negation, plurals, identity, pronouns, and quantifiers” which are representationally necessary to overcome the regress/circularity in content constitution and achieve objective (as opposed to similarity-subjective) representation (Burge, Origins of Objectivity. Oxford, 2010, p. 238). I base myself initially on Yoshimi’s (New Frontiers in Psychology, 2011) attempt to explain Husserlian phenomenology with neural networks but depart from him due to the arguments and consequently propose a two-system view which converges with Weiskopf’s proposal (“Observational Concepts.” The Conceptual Mind. MIT, 2015. 223–248). (shrink)

A pocket-sized collection of mindfulness practices anyone can do anytime--from the author of Mindful Eating. Mindfulness can reduce stress, improve physical health and quality of life, and give you deep insight. Meditation practice is one way to do it, but not the only way. In fact, there are easy ways to fit it into your everyday life. Jan Chozen Bays provides here 25 practices that can be used on the go to cultivate mindfulness. The three-breath practice, the mindfulness of (...) entering rooms, offering compliments, tasting your food one careful bite at a time--these deceptively simple practices can have a cumulative effect for the better. The book is an abridgment of Bays's longer collection How to Train a Wild Elephant: And Other Adventures in Mindfulness. (shrink)

The present article looks at mind and consciousness from the perspective of the eminent Indian philosopher, Jiddu Krishnamurti. He believed in total awareness as being essential for a free mind. Human beings always learned from their past, and it was important that they looked inwards and freed themselves from self-perpetuated torment. It was also necessary that they avoided repression. The society in which we live should be organic, where, although individuals had no choice but to dwell in that (...) society, it was one where the interests of the individual and society were the same. He also maintained that religion was always the result of past conditioning. A mind should be investigative and scientific. One could not get pleasure without difficulty, for which living in totality, not in segments, was a must. We often dwell on one part of the consciousness and miss its holistic aspect. One must uncover the mind layer by layer to achieve complete growth. Deeper delving into it and a study of J. Krishnamurti's philosophy is a must for the understanding of human consciousness, in a manner that is simple, yet abstract and deep. (shrink)

The proliferation of late of disciplines beginning in “neuro”—neuroeconomics, neuroaesthetics, neuro–literary criticism, and so on—while welcomed in some quarters, has drawn a great deal of critical commentary as well. It is perhaps natural that scholars in the humanities, especially, tend to find these “neuro”-prefixes irritating. But by no means all of them: there are those humanists who discern in this trend a healthy development that has the potential of “revitalizing” the notoriously bookish humanities. Neurohistory is a case in point, typically (...) being dismissed by historians while finding more sympathetic consideration elsewhere. While it sides with the former position, this essay attempts to develop a more complex picture. It will suggest that defiant humanists may underestimate the extent to which they are already participating in a culture profoundly tuned toward a quasi-naturalistic construction of the mind/brain as an embodied, situated, and distributed thing. The roots of this construction will be traced into the popular, academic, and technological discourses that began to surround the “user” in the 1980s, with special emphasis on the concomitant assault on “cognitivism.” What is more, the very same story—insofar as it demonstrates the complicity of the “postclassical” mind with our own man-made and “digital” age—will serve to complicate the neuro-optimists’ vision of human nature exposed by a new kind of science. (shrink)

In this critical assessment of postmodernism, philosopher Jerry H. Gill points out that, however insightful the critiques of the postmodernists, they did little or nothing to offer constructive approaches to overcoming the impasse that their criticism of modernism created. Gill turns to an earlier generation of twentieth-century philosophers who anticipated later postmodern trends but offered alternative approaches to the dilemmas of modernism regarding the nature of reality, knowledge, and language. In four major chapters, Gill shows how Alfred North Whitehead, Ludwig (...) Wittgenstein, Maurice Merleau-Ponty, and Michael Polanyi reinterpreted reality, meaning, the mind-body problem, and knowledge in refreshingly new ways. Essentially, these four thinkers provide us with a deeper understanding of postmodernism by viewing the nature of reality as interactive and open-ended, meaning as contextual and functional, the role of the body as integral and axial, and knowledge as dynamic and tacit. To tie together the main themes of his study, Gill concludes with a brief analysis of the key insights offered by J. L. Austin, especially his "linguistic phenomenology.". (shrink)

This article addresses computational procedures that are no longer constrained by human modes of representation and considers how these procedures could be philosophically understood in terms of ‘algorithmic thought’. Research in deep learning is its case study. This artificial intelligence (AI) technique operates in computational ways that are often opaque. Such a black-box character demands rethinking the abstractive operations of deep learning. The article does so by entering debates about explainability in AI and assessing how technoscience and technoculture (...) tackle the possibility to ‘re-present’ the algorithmic procedures of feature extraction and feature learning to the human mind. The article thus mobilises the notion of incommensurability (originally developed in the philosophy of science) to address explainability as a communicational and representational issue, which challenges phenomenological and existential modes of comparison between human and algorithmic ‘thinking’ operations. (shrink)

During a year when there is much tumult around the world and in the United States in particular, it might be surprising to encounter a paper about patience and argumentation. In this paper, I explore the notion of deep disagreement, with an eye to moral and political contexts in particular, in order to motivate the idea that patience is an argumentative virtue that we ought to cultivate. This is particularly so because of the extended nature of argumentation and the (...) slow rate at which we change our minds. I raise a concern about how calls for patience have been misused in the past and argue that if we accept patience as an argumentative virtue, we should hold people in positions of power, in particular, to account. (shrink)

We view a human being as a mental and spiritual entity and also as having a physical nature. The essence of a person is revealed in our thinking about personal identity, quality of life, and personal responsibility. These conceptions do not fare well in a Cartesian or dualist picture of the person as there are deep problems with the idea that the mind is an inner realm. I argue that it is only as we see the thoughts, actions, (...) and interactions of persons as necessarily involving physical entities in the world whose nature is not completely captured in scientific descriptions that we can understand our existence as mental and spiritual beings. (shrink)

Teleological variations of non-deterministic processes are defined. The immediate past of a system defines the state from which the ordinary (non-teleological) dynamical law governing the system derives different possible present states. For every possible present state, again a number of possible states for the next time step can be defined, and so on. After k time steps, a selection criterion is applied. The present state leading to the selected state after k time steps is taken to be the effective present (...) state. Hence, the present state of a system is defined by its past in the sense that the past determines the possible states that are to be considered, and by its future in the sense that the selection of a possible future state determines the effective present state. A system that obeys this type of teleological dynamics may have significantly better performance than its non-teleological counterpart. The basic reason is that evolutions that are less optimal for the present time step, but which lead to a higher optimality after k time steps, may be preferred. This abstract concept of teleology is implemented for two concrete systems. First, it is applied to a general method for function approximation and classification problems. The method at issue treats all problems handled by conventional connectionism, and is suited for information with inner structure also. Second, it is applied to a dynamics in which forms of maximal homogeneity have to be produced. The relevance of the latter dynamics for generative art is illustrated. The teleology is `deep' in the sense that it is situated at the cellular level, in contradistinction with the teleology that is usually met in cognitive contexts, and which refers to macroscopic processes such as making plans. It is conjectured that deep level teleology is useful for machines, even though the issue if natural systems use this teleology is left open. (shrink)

. I emphasize the importance of broadening behavioral, ecological, and conservation science into a more integrative, interdisciplinary, socially responsible, compassionate, spiritual, and holistic endeavor. I stress the significance of studies of animal behavior, especially ethological research concerned with animal emotions in which individuals are named and recognized for their own personalities, for helping us to learn not only about the nonhuman animal beings with whom we share Earth but also about who we are and our place in nature. We are (...) best understood in relationship with others. To this end I develop the notions of “minding animals” and “deep ethology.” Animals are sources of wisdom, a way of knowing. We are all citizens of Earth, members of a global community in which intimate reciprocal and beneficent peaceful relationships are mandatory. A world without cruelty and with boundless compassion, respect, grace, humility, spirituality, and love would be a better world in which to live. We have compelling responsibilities for making Earth a better and more peaceful habitat for all beings. It is essential that we do better than our ancestors. We must reflect and step lightly as we “redecorate” nature. Time is not on our side. I plead for the development of heartfelt and holistic science that allows for joy and play. Science need not be suspicious of things it cannot fully understand. We must not avert our eyes or other senses from the eyes and voices of other beings who urgently need our uncompromising and unconditional aid and love. We can do much more than we have done for animals and the Earth. (shrink)

It has often been argued that we face a trade-off between accuracy and opacity in deep learning models. The idea is that we can only harness the accuracy of deep learning models by simultaneously accepting that the grounds for the models’ decision-making are epistemically opaque to us. In this paper, we ask the following question: what are the prospects of making deep learning models transparent without compromising on their accuracy? We argue that the answer to this question (...) depends on which kind of opacity we have in mind. If we focus on the standard notion of opacity, which tracks the internal complexities of deep learning models, we argue that existing explainable AI (XAI) techniques show us that the prospects look relatively good. But, as it has recently been argued in the literature, there is another notion of opacity that concerns factors external to the model. We argue that there are at least two types of external opacity—link opacity and structure opacity—and that existing XAI techniques can to some extent help us reduce the former but not the latter. (shrink)

The present article looks at mind and consciousness from the perspective of the eminent Indian philosopher, Jiddu Krishnamurti. He believed in total awareness as being essential for a free mind. Human beings always learned from their past, and it was important that they looked inwards and freed themselves from self-perpetuated torment. It was also necessary that they avoided repression. The society in which we live should be organic, where, although individuals had no choice but to dwell in that (...) society, it was one where the interests of the individual and society were the same. He also maintained that religion was always the result of past conditioning. A mind should be investigative and scientific. One could not get pleasure without difficulty, for which living in totality, not in segments, was a must. We often dwell on one part of the consciousness and miss its holistic aspect. One must uncover the mind layer by layer to achieve complete growth. Deeper delving into it and a study of J. Krishnamurti's philosophy is a must for the understanding of human consciousness, in a manner that is simple, yet abstract and deep. (shrink)

In meditation, mind-wandering has to be noticed and stopped in order to attain and sustain a state of mindfulness. Mindwandering has been linked to increased activity in the default mode network (DMN). We found that hemodynamic activity in the DMN was inversely related to frontal midline theta (FMT) EEG activity. In addition, a recent study reported that FMT power was reduced during mind-wandering and increased during deep meditation. In our experiment, six subjects were introduced to two forms (...) of meditation to be used during neurofeedback training in eight daily sessions during two weeks. FMT power was chosen for neurofeedback, while subjects applied these meditation techniques and individual strategies to increase FMT power. Each session was followed by a detailed interview. Four subjects were able to raise average FMT power over the course of the training, two of them significantly. We report and discuss the results of the neurophenomenological analysis of the relationship between meditation strategies, subjective experiences, and success of neurofeedback training. (shrink)

"The Contact Between Minds: A Metaphysical Hypothesis" by Cecil Delisle Burns is a thought-provoking book that explores the fascinating concept of mind-to-mind communication. Burns, a respected philosopher, delves into the realms of metaphysics to propose a hypothesis that challenges conventional notions of communication and the boundaries of human consciousness. With meticulous reasoning and deep philosophical inquiry, Burns presents his ideas on how minds may connect and exchange information beyond the limitations of traditional communication channels. This book invites (...) readers to contemplate the mysteries of the human mind and opens up new possibilities for understanding the interconnectedness of consciousness. (shrink)

I contrast two notions of cognition offered in Joseph LeDoux’s (2019) The Deep History of Ourselves toward arguing for the functional role of affect and consciousness in the evolution of matter. I argue that an emphasis on the cultural construction of emotions misrepresents the relationship between culture and biology. A more parsimonious story about the evolution of mind requires leaving behind some aspects of a cognitivist epistemology.

Despite technological innovations, clinical expertise remains the cornerstone of psychiatry. A clinical expert does not only have general textbook knowledge, but is sensitive to what is demanded for the individual patient in a particular situation. A method that can do justice to the subjective and situation-specific nature of clinical expertise is ethnography. Effective deep brain stimulation (DBS) for obsessive-compulsive disorder (OCD) involves an interpretive, evaluative process of optimizing stimulation parameters, which makes it an interesting case to study clinical expertise. (...) The aim of this study is to explore the role of clinical expertise through an ethnography of the particular case of DBS optimization in OCD. In line with the topic of the special issue this article is a part of, we will also use our findings to reflect on ethnography as a method to study complex phenomena like clinical expertise. This ethnography of DBS optimization is based on 18 months of participant observation and nine in-depth interviews with a team of expert clinicians who have been treating over 80 OCD patients since 2005. By repeatedly observing particular situations for an extended period of time, we found that there are recurrent patterns in the ways clinicians interact with patients. These patterns of clinical practice shape the possibilities clinicians have for making sense of DBS-induced changes in patients’ lived experience and behavior. Collective established patterns of clinical practice are dynamic and change under the influence of individual learning experiences in particular situations, opening up new possibilities and challenges. We conclude that patterns of clinical practice and particular situations are mutually constitutive. Ethnography is ideally suited to bring this relation into view thanks to its broad temporal scope and focus on the life-world. Based on our findings, we argue that clinical expertise not only implies skillful engagement with a concrete situation but also with the patterns of clinical practice that shape what is possible in this specific situation. Given this constraining and enabling role of practices, it is important to investigate them in order to find ways to improve diagnostic and therapeutic possibilities. (shrink)

Morality is so steeped in the quotidian details of praise and blame, of do’s and don’t’s, and of questions about the justifiability of certain practices it is no wonder that philosophers and psychologists have devoted relatively little effort to investigating what makes moral life possible in the first place. In making this claim, I neither ignore Kant and his intellectual descendants, nor the large literature in developmental moral psychology from Piaget on. My charge has to do with this fact: morality (...) is an ineliminable feature of human life and human beings are biological creatures. Hence, what wants explaining is how a biological creature – a creature with an evolved mind/brain – can be a normative creature of a particular kind – a creature that cannot help but engage in moral appraisal and evaluation. It does no good to try to wring such an explanation from the ‘very concept’ of agency, as some philosophers attempt to do. Such a strategy merely delays the inevitable: how is it that biological creatures are agents? And while we can understand the practical value of charting the trajectory of babbling infants to toddlers to adolescents to adults, absent an account of the foundations of the capacities whose emergence constitutes this trajectory, we will still not have addressed the central question. Sociobiology and evolutionary ethics fare no better. The apparent puzzle of cooperation amidst competition can and has been addressed via the notions of kin selection and reciprocal altruism. But these accounts are motivated by and hence pitched at the level of overt behavior. However, being a moral creature, in the sense that makes such entities apt subjects for deep intellectual investigation, has very little to do with whether they behave well and everything to do with being capable of a certain kind of cognition. (shrink)

Contingent transcranialists claim that the physical mechanisms of mind are not exclusively intracranial and that genuine cognitive systems can extend into cognizers' physical and socio-cultural environments. They further claim that extended cognitive systems must include the deep functional integration of external environmental resources with internal neural resources. They have found it difficult, however, to explicate the precise nature of such deep functional integration and provide compelling examples of it. Contingent intracranialists deny that extracranial resources can be components (...) of genuine extended cognitive systems. They claim that transcranialists fallaciously conflate coupling with constitution and construe cognition as extending always from brains into world rather than world into brains. By using insights from recent research in developmental psychology and by explicating the nature of one form that deep functional integration can take, I argue that (i) transcranialists do not fallaciously conflate coupling wth constitution, and (ii) human emotional ontogenesis is a world-to-brain transcranial achievement. Jennifer Greenwood is a PhD Candidate in Philosophy at the School of History, Philosophy, Religion, and Classics, University of Queensland. (shrink)

Recent breakthroughs in artificial intelligence have primarily resulted from training deep neural networks (DNNs) with vast numbers of adjustable parameters on enormous datasets. Due to their complex internal structure, DNNs are frequently characterized as inscrutable ``black boxes,'' making it challenging to interpret the mechanisms underlying their impressive performance. This opacity creates difficulties for explanation, safety assurance, trustworthiness, and comparisons to human cognition, leading to divergent perspectives on these systems. This chapter examines recent developments in interpretability methods for DNNs, with (...) a focus on interventionist approaches inspired by causal explanation in philosophy of science. We argue that these methods offer a promising avenue for understanding how DNNs process information compared to merely behavioral benchmarking and correlational probing. We review key interventionist methods and illustrate their application through practical case studies. These methods allow researchers to identify and manipulate specific computational components within DNNs, providing insights into their causal structure and internal representations. We situate these approaches within the broader framework of causal abstraction, which aims to align low-level neural computations with high-level interpretable models. While acknowledging current limitations, we contend that interventionist methods offer a path towards more rigorous and theoretically grounded interpretability research, potentially informing both AI development and computational cognitive neuroscience. (shrink)