In this paper I draw attention to the grammatical “deep joke”. Wittgenstein refers to this type of joke in PI §111, comparing its depth to the depth of philosophy. I start with a brief review of Wittgenstein’s notions of “grammar” and “depth”. Building on these ideas, I first offer some general considerations regarding jokes and then present descriptive remarks about deep jokes. I evaluate possible examples of deep jokes, including primary examples provided by Wittgenstein, (...) which appear in preliminary versions (1936-46) of the Philosophical Investigations but were cut later. I attempt to capture the distinctive qualities of deep jokes and seek to elucidate their philosophical potential. The results of the investigation of deep jokes provide an original reflection on our (mis-)understanding of linguistic practices. (shrink)

contents -/- ONT vol 1 i. short review: Beyond the Black Rainbow ii. as you die, hold one thought iii. short review: LA JETÉE -/- ONT vol 2 i. maya means ii. short review: SANS SOLEIL iii. vocab iv. eros has an underside v. short review: In the Mood for Love -/- ONT vol 3 i. weed weakens / compels me ii. an Ender's Game after-party iii. playroom is a realm of the dead iv. a precise german History v. short (...) review: STATUES ALSO DIE vi. Kenneth Clark, curator for Fascism vii. a protest poem, in industry lit viii. Lawrence and the English Romance -/- ONT vol 4 i. short review: The Eyes of Tammy Faye ii. vR is efficient R iii. all thru Asia, robes for monks iv. same of God, and of the one God sent v. i thought of the Messiah / muse would be vi. conscience is strong vii. a monk's exalted end -/- ONT vol 5 -/- i. for Shakespeare's Richard the Third ii. the truth is i pass over so many words iii. the boori nazar / nadhar iv. i've awe for jihaad v. short review: Hail, Caesar! vi. a minute of Nothing, gone from YouTube vii. we were rivalrous friends, again viii. my bardo pdf ix. within i'm a weak old mandarin -/- ONT vol 6 i. short review: The Intern ii. the confusion of Chinatown iii. we'll remember water, in Theology iv. Respironics versus ResMed v. i'd bet my life for what vi. the Mad Max deity vii. they'd kill my rat, not heal him -/- ONT vol 7 i. Austen would eroticize all life ii. Merchant/Ivory, a name oddly right iii. Ellie Arroway / Agent Starling iv. abattoir / l’abattoir / laboratoire v. von Neumann's brain an anomaly vi. was terrified of death, delighted in the a-bomb vii. the Greatest Brain is variously named -/- ONT vol 8 i. the day they shot the sacrifice ii. Yay or Nay, on Animal Testing iii. an ought is an is / an is is an ought iv. Behaviorism is for zombies v. a finding from the neuro-lab, on empathy vi. i’ve never had discernible abs vii. a cowardice i'm assenting to perpetually -/- ONT vol 9 i. Day of the Locust / Triffids ii. we're wide on a Paramount soundstage iii. HOLLYWOOD, an ecologic history iv. yet one more site of end-time art v. he's "a bookworm with bulging lobes" vi. apartment is my state of being apart vii. enlightenment means a weight's release -/- ONT lates and xtras i. re Gödel's ontological argument ii. deep in pi's numeric noise iii. from Nothing, something iv. endless in the wrong direction, tragic v. they give you all Eternity to answer vi. what of God's mercy? vii. informed consent and prayer viii. i won't live on. a deed i've done may ix. my selective memory x. Janus means: in close-up foam, two faces xi. a liveable world is a readable world xii. what Supervenes from this? xiii. at each extreme our naming is anachronism xiv. Cat is a collapsing of the wave-function xv. diminishing returns in the history of Experiment xvi. all those undershared Nobels xvii. ice preserves the Cold from heat xviii. a desert spreads xix. Pinker's wit, on jokes xx. Rome surrounds St. Paul / Paul is now the center xxi. each is a gathering Ministry xxii. white boy shot execution-style xxiii. the McDonald's Statement of Claim xxiv. first & last: Don Quixote / Ulysses xxv. The Summer of Rave xxvi. this electro is intrinsically anonymous xxvii. all thru Asia, Drake-Rihanna xxviii. WHO IS BETTER: PLATON OR KANT? (shrink)

-/- The Best Natural Stimuli for Beneficial Brain Chemistry -/- The human brain relies on a delicate balance of neurotransmitters to regulate mood, motivation, and overall well-being. While artificial stimulants such as caffeine, nicotine, and drugs can temporarily boost brain chemicals like dopamine and serotonin, they often lead to long-term negative effects, including addiction and imbalances. Fortunately, there are numerous natural ways to stimulate the brain’s reward system without harmful consequences. By engaging in physical activity, social interaction, mental engagement, (...) class='Hi'>deep faith, and spiritual practices, individuals can optimize their brain chemistry for long-term health and happiness. -/- Exercise: A Natural Mood Booster -/- One of the most effective ways to enhance brain function is through regular physical activity. Exercise has been shown to increase dopamine, which plays a key role in motivation and pleasure, while also releasing endorphins, the body’s natural painkillers. Activities such as running, swimming, dancing, and strength training improve both physical and mental well-being by reducing stress and enhancing cognitive function. Engaging in exercise for at least 30–60 minutes daily provides lasting benefits, including improved focus, resilience to stress, and an overall sense of happiness. -/- Sunlight and Nature: Elevating Mood and Energy -/- Sunlight exposure is another crucial factor in maintaining healthy brain chemistry. Natural sunlight stimulates serotonin production, which is essential for mood regulation and sleep quality. Additionally, spending time in nature, whether through walking, hiking, or gardening, can enhance dopamine release and reduce stress. Just 15–30 minutes of daily sunlight exposure, preferably in the morning, helps regulate the body’s internal clock and promotes a sense of well-being. -/- The Role of Nutrition In Brain Health -/- The brain relies on proper nutrition to produce essential neurotransmitters. A balanced diet rich in protein, healthy fats, and probiotics supports optimal brain function. Foods high in tyrosine, such as eggs, fish, and nuts, help increase dopamine levels. Meanwhile, fermented foods like yogurt and kimchi boost serotonin production through the gut-brain connection. Dark chocolate, especially varieties with 85% cocoa or higher, can also naturally enhance dopamine without the negative effects of processed sugar. By consuming nutrient-dense foods, individuals can maintain stable energy levels and mental clarity. -/- The Power of Deep Faith, Prayer, and Spiritual Practices -/- In addition to physical and social activities, deep faith in God, prayer, and genuine spirituality play a significant role in maintaining a balanced and healthy brain. Faith provides a sense of purpose, hope, and emotional stability, which has been linked to increased serotonin and dopamine levels. Prayer and meditation on spiritual beliefs reduce anxiety, strengthen resilience, and promote inner peace. Studies show that individuals who engage in regular prayer or spiritual reflection experience lower stress levels, enhanced emotional regulation, and a greater sense of gratitude. -/- Attending Mass, Prayers in Mosques or Temples, and Spiritual Gatherings -/- Participating in religious ceremonies, such as attending Mass in a church, praying in a mosque, or meditating in a temple, further enhances mental well-being. Being in a place of worship fosters a sense of belonging, increases oxytocin levels, and reinforces social and spiritual bonds. Engaging in community prayers or religious gatherings provides emotional support, peace of mind, and spiritual fulfillment. -/- Additionally, other spiritual practices, such as reading sacred texts, chanting, lighting candles, or practicing mindfulness rituals, can have profound effects on brain chemistry. These practices help align the mind with positive thoughts, reducing stress and increasing happiness. Spiritual music, hymns, or reciting mantras can also boost dopamine and serotonin, creating a calming and uplifting effect. -/- A person who practices faith, gratitude, and meditation on divine wisdom cultivates a more balanced mind, making them less susceptible to depression and anxiety. Just as physical exercise strengthens the body, spiritual devotion strengthens the mind and soul, leading to a more fulfilling and meaningful life. -/- The Power of Social Connection and Kindness -/- Humans are inherently social beings, and positive interactions play a crucial role in brain chemistry. Spending time with loved ones, engaging in deep conversations, and acts of kindness all trigger the release of oxytocin, the “bonding hormone.” Simple actions such as giving compliments, hugging, or helping others contribute to increased dopamine and serotonin levels. Developing strong social relationships and practicing kindness regularly can create a lasting sense of fulfillment and emotional balance. -/- Meditation and Mindfulness: Rewiring the Brain for Positivity -/- Another powerful way to naturally stimulate beneficial brain chemicals is through meditation and mindfulness practices. Studies have shown that regular meditation enhances dopamine and serotonin levels, reducing stress and increasing focus. Simple techniques such as deep breathing, gratitude journaling, and positive affirmations help rewire the brain to adopt a more positive outlook on life. Practicing just 10–20 minutes of meditation daily can lead to long-term improvements in emotional stability and cognitive performance. -/- Music and Creativity: Fueling the Brain’s Reward System -/- Music has a profound effect on brain chemistry. Listening to uplifting music or playing an instrument increases dopamine production, creating a sense of pleasure and motivation. Similarly, engaging in creative activities such as painting, writing, or crafting provides a natural dopamine boost, enhancing problem-solving skills and reducing anxiety. Incorporating creative pursuits into daily life fosters mental agility and a deeper sense of satisfaction. -/- The Importance of Sleep and Relaxation -/- Sleep plays a vital role in restoring brain function and maintaining healthy neurotransmitter levels. During deep sleep, the brain replenishes dopamine and serotonin, regulating emotions and cognitive abilities. Poor sleep patterns, especially those disrupted by screen exposure before bedtime, can negatively impact mood and concentration. A consistent sleep schedule of 7–9 hours per night, combined with relaxing bedtime rituals, ensures optimal brain health and emotional resilience. -/- Laughter and Play: A Natural Antidepressant -/- Laughter is often called “the best medicine” for a reason—it triggers the release of dopamine, endorphins, and oxytocin, creating a powerful sense of happiness and connection. Watching comedies, sharing jokes with friends, or engaging in playful activities such as games and sports can significantly boost mental well-being. Cultivating a sense of humor and embracing playfulness in daily life is a simple yet effective way to maintain emotional balance. -/- Conclusion -/- By incorporating exercise, sunlight, proper nutrition, deep faith in God, prayers, attending religious gatherings, social interaction, mindfulness, music, sleep, and laughter into daily routines, individuals can optimize their brain chemistry without the risks associated with artificial stimulants. These natural dopamine, serotonin, oxytocin, and endorphin boosters not only improve mental health but also contribute to long-term cognitive function and life satisfaction. -/- In a world increasingly dominated by quick fixes and instant gratification, returning to natural, sustainable habits is the key to a healthier and happier mind. Faith in God, prayer, and attending spiritual gatherings provide deeper emotional resilience, purpose, and inner peace, making them essential elements of a well-balanced life. By embracing both the physical and spiritual aspects of well-being, individuals can experience true harmony of the mind, body, and soul. -/- . (shrink)

How to Naturally Increase Pleasure-Boosting Brain Chemicals & Their Impact on Mental Health -/- To enhance well-being, it’s important to balance the brain’s pleasure chemicals. Below is a guide on how to naturally increase each neurotransmitter and what happens when there’s an imbalance. -/- 1. Dopamine (Motivation & Reward) -/- How to Boost Naturally: -/- ✔ Set and achieve small goals → Triggers a dopamine “reward” response. ✔ Engage in enjoyable activities (e.g., hobbies, learning new skills). ✔ Eat dopamine-boosting foods: (...) Bananas, dark chocolate, almonds, green tea. ✔ Exercise regularly (boosts dopamine and endorphins). ✔ Listen to music (stimulates the reward system). -/- Effects of Dopamine Imbalance: -/- ???? Too Low: Leads to lack of motivation, depression, fatigue, and anhedonia (inability to feel pleasure). Often seen in Parkinson’s disease and ADHD. ???? Too High: Can lead to addictive behaviors, impulsivity, and even psychosis (as seen in schizophrenia). -/- 2. Serotonin (Happiness & Mood Stabilization) -/- How to Boost Naturally: -/- ✔ Get sunlight exposure (stimulates serotonin production). ✔ Eat serotonin-boosting foods: Salmon, eggs, nuts, seeds, and complex carbs. ✔ Engage in social activities (boosts serotonin and oxytocin). ✔ Meditation, deep breathing, and prayer increase serotonin. -/- Effects of Serotonin Imbalance: -/- ???? Too Low: Depression, anxiety, irritability, sleep issues. Linked to seasonal affective disorder (SAD). ???? Too High: Can cause excessive calmness, serotonin syndrome (dangerous condition with confusion, high blood pressure). -/- 3. Oxytocin (Love, Trust & Bonding) -/- How to Boost Naturally: -/- ✔ Physical touch (hugs, cuddling, holding hands). ✔ Social bonding (spending time with loved ones, group prayer, communal worship). ✔ Petting animals (boosts oxytocin and lowers stress). ✔ Acts of kindness (helping others raises oxytocin). -/- Effects of Oxytocin Imbalance: -/- ???? Too Low: Can lead to loneliness, difficulty forming relationships, and higher stress levels. ???? Too High: May cause overattachment or excessive trust in untrustworthy people. -/- 4. Endorphins (Euphoria & Pain Relief) -/- How to Boost Naturally: -/- ✔ Exercise (runner’s high from intense workouts). ✔ Laughter (watching comedy, sharing jokes). ✔ Eating spicy foods and dark chocolate. ✔ Listening to music, dancing, or singing. -/- Effects of Endorphin Imbalance: -/- ???? Too Low: Increased pain sensitivity, depression, chronic stress. ???? Too High: Rare in natural conditions but can create dependence on activities that trigger endorphins (e.g., thrill-seeking behavior). -/- 5. Endocannabinoids (Bliss & Relaxation) -/- How to Boost Naturally: -/- ✔ Meditation, yoga, and deep breathing. ✔ Aerobic exercise (long runs or cycling). ✔ Eating omega-3 rich foods (fish, flaxseeds, walnuts). -/- Effects of Endocannabinoid Imbalance: -/- ???? Too Low: Increased stress, anxiety, poor pain regulation. ???? Too High: Can cause brain fog or lack of motivation. -/- 6. GABA (Calm & Relaxation) -/- How to Boost Naturally: -/- ✔ Meditation and mindfulness. ✔ Herbal teas (chamomile, green tea). ✔ Foods rich in magnesium (almonds, spinach, avocados). ✔ Deep breathing exercises. -/- Effects of GABA Imbalance: -/- ???? Too Low: Anxiety, insomnia, panic attacks. ???? Too High: Excessive drowsiness, lack of motivation. -/- 7. Adrenaline & Norepinephrine (Excitement & Alertness) -/- How to Boost Naturally: -/- ✔ Engaging in thrilling activities (sports, dancing, adventure). ✔ Cold showers (boosts norepinephrine). ✔ Challenging yourself with new experiences. -/- Effects of Imbalance: -/- ???? Too Low: Fatigue, lack of focus, low motivation. ???? Too High: Stress, anxiety, high blood pressure. -/- Summary Table: Boosting Pleasure Chemicals Naturally -/- Final Thoughts -/- A balanced lifestyle that includes physical activity, healthy eating, social bonding, meditation, and achieving small goals can optimize pleasure-related brain chemistry. -/- Imbalances in these chemicals can lead to mental health issues like depression, anxiety, addiction, or excessive stress. -/- Religious and spiritual activities like prayer, meditation, communal worship, and gratitude practices naturally boost serotonin, dopamine, oxytocin, and GABA. -/- . (shrink)

This study aimed to discover the need for and approaches to repositioning Home Economics for a functional entrepreneurship education programme in Colleges of Education in the North-Central Zone of Nigeria. Four (4) specific objectives and Four (4) research questions guided the study. A descriptive survey design was used for the study. The population for the study comprised 73 Home Economics lecturers and 178 NCE III Students in Colleges of Education in North-Central, Nigeria. Sampling techniques were not carried out, all the (...) populations were chosen for sample size because the population is small, manageable, and individual views were considered important for the study. A 48-item questionnaire developed by researchers and validated by experts was employed as an instrument for data collection. The reliability coefficient of the instrument is 0.745 using Cronbach Alpha. The researchers along with the research assistants administered the instrument to the respondents. Seventy-three (73) Lecturers' questionnaires were administered, seventy-three (73) were returned and one hundred and seventy-eight (178) student questionnaires were administered but one hundred and sixty-two (162) were returned successfully thereby giving 100% and 91% return rate. Mean was used to analyze the data. The study's findings revealed the need to reposition the Home Economics curriculum for functional Entrepreneurship Education in Colleges of Education in the North-Central Zone, Nigeria (Average Mean 3.44). Based on the findings, recommendations were made to include that Colleges of Education should adopt innovative curriculum design, teaching methods, assessment tools, and robust feedback mechanisms. (shrink)

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)

Short introduction to the V2 publication of "The War of Appearances: Transparency, Opacity, Radiance" (2016). An anthology with Matteo Pasquinelli, Luciana Parisi, Graham Harman, Tomas Saraceno, René ten Bos, Tim Morton, and many others.

The integration of Artificial Intelligence (AI) with Virtual Reality (VR) and Augmented Reality (AR) is revolutionizing interactive technology, making it more immersive, adaptive, and personalized. This paper explores the potential of AI in generating virtual and augmented experiences, discussing its applications in various industries such as gaming, education, healthcare, and retail. AI algorithms enhance user experiences through intelligent interactions, procedural content generation, and real-time environmental adaptation. The study also examines the challenges and ethical considerations in AI-driven AR and VR environments, (...) alongside the future prospects of these technologies. (shrink)

Artificial Intelligence (AI) is increasingly influencing the evolution of financial institutions, altering the traditional landscape of money, transactions, and customer experiences. From automated systems to predictive analytics and machine learning-driven financial advice, AI is reshaping every aspect of the financial industry. This paper explores the profound impact of AI on financial institutions, examining how it is transforming financial services, enhancing efficiency, and enabling new business models. Additionally, it investigates the associated challenges, such as data security, regulatory issues, and ethical concerns. (...) The future of money in the context of AI adoption presents both opportunities and risks, and this study aims to offer a nuanced understanding of the role AI will play in the financial sector. By analyzing current trends, technological advancements, and case studies, the paper provides a roadmap for financial institutions to navigate the rapidly evolving digital landscape. (shrink)

The increasing demand for portable, cost-effective, and energy-efficient computing solutions has led to the development of compact mini computers. In this paper, we’ve designed and built a compact mini computer using the BusyBirds chip. The system includes a built-in power bank for better portability, an HDMI port for connecting to high-definition displays, and Bluetooth 5.0 for reliable wireless communication. It’s developed as a simple, affordable computing option for students, developers, and professionals who need a small, efficient system for different tasks. (...) The BusyBirds Chip is used as the main processing unit, offering better performance while keeping power usage low. One of the standout features of this mini computer is that, unlike regular desktops or laptops that rely on being plugged in all the time, this one can run on battery power. That makes it a handy option for working in places where there’s no easy access to electricity. The in-built power bank helps keep the system running smoothly without interruptions, which makes it especially useful for learning activities and IoT projects. Modern systems need strong connectivity options, and this setup includes both HDMI and Bluetooth 5.0 to improve usability. The HDMI output lets you connect to highquality displays, while Bluetooth 5.0 makes it simple to pair devices like a mouse, keyboard, or speakers. After testing its performance, results showed that the mini computer works as expected offering a good mix of portability, efficiency, and low cost. (shrink)

Existing studies of the multi-group dynamics of prejudiced societies focus on the social- psychological knowledge behind the relevant processes. We instead create a multi-agent framework that simulates the propagation of prejudice and measures its tangible impact on prosperity. Levels of prosperity are tracked for individuals as well as larger social structures including groups and factions. We model social interactions using the Continuous Prisoner's Dilemma (CPD) and a new agent type called a prejudiced agent. Our simulations show that even modeling prejudice (...) as an exclusively out-group phenomenon nonetheless generates implicit in-group promotion, leading to higher relative prosperity of a prejudiced population. This skew in prosperity is seen to be correlated to factors such as size difference between groups, and the fraction of prejudiced agents in a group. Our model is a step towards a deeper understanding of the origins, propagation, and ramifications of prejudice through simulative studies grounded in apt theoretical backgrounds. (shrink)

If this can be seen as a long way from the beginning of the ancient history, where humans have envisioned different new things and then invented them to make their life’s working smoother and easier, then it can be found that they have attributed their discoveries to various aspects and names of Gods and tried to signify their belief in the form of portraying the God’s powers through the nature of their discovery. Rather, in much modern times, when humans have (...) developed the natural insights and prorated those in the form of a much more logically biased discovery, then, the atheists have started to dominate the scientific arena for their foreplay in the work of their discoveries. However, as time passes by, five special types of research communities have gathered to allocate their discovered data’s in the respective norms as such, i) Atheists to whom, there is in essence no God and nothing in this universe can be attributed to them. ii) Believer of only one God as a whole, where the principle of religious biasing is effluent and supreme in their regards of the physical laws associated with the life and stimuli, iii) Believer of multiple God’s as a whole which poses no such scientific evaluation but can be thought of as a conjugate mechanism for the creator of the universe, iv) A divine supreme, where there is exactly no God, but the whole universe is a manifestation of the nature, where nature indirectly focuses the presence of God’s or the supreme creator that maintains symmetry and working of the universe, v) The not-so-sure about mechanism of the God’s presence, where the researcher sometimes tends to belief in God when something magical happens and attribute all to their divine grace, or in times of failures where they accused them for not being philosophically intrinsic as to their own needs, and in times with the believe that, ‘we won’t believe what we can’t see!’, either in the middle of the good or bad moments or in general in a casual and carefree mode. But, this should be kept in mind, that, the Eastern mysticism has always signifies God’s action in terms of every scientific actions with a proper mythological essence which when accompanied by knowledge produces something so scientific in the ancient of the days, that modern day researchers also have had no options left than to attribute affirmation to the fantastic achievements in the ‘so’ ancient times discovery with a strict modern effluence. Therefore, to model this paper, I have gathered data’s and ideas from researchers of various fields mostly (PhDs) in their respective discipline, so as to emulate their minds in the norms of God and its associated beliefs. (shrink)

This article describes various ways actors in Kashmiri carpet weaving practice deploy a range of artifacts, from symbolic, to material, to hybrid, in order to achieve diverse cognitive accomplishments in their particular task domains: information representation, inter and intra-domain communication, distribution of cognitive labor across people and time, coordination of team activities, and carrying of cultural heritage. In this repertoire, some artifacts position themselves as naïve tools in the actors’ environment to the point of being ignored; however, their usage-in-context unfolds (...) their cognitive involvement in the tasks. These usages-in-context are shown through artifact analysis of their routine, improvised, and opportunistic uses, where cognitive artifacts like talim—the central artifact of this practice—are shown to play not only multifunctional roles beyond representation, but are also complemented by trade-specific skills bearing strong cognitive implications in a task. (shrink)

The design process in Kashmiri carpet weaving is a distributed process encompassing a number of actors and artifacts. These include a designer called naqash who creates the design on graphs, and a coder called talim-guru who encodes that design in a specific notation called talim which is deciphered and interpreted by the weavers to weave the design. The technological interventions over the years have influenced these artifacts considerably and triggered major changes in the practice, from heralding profound cognitive accomplishments in (...) manually driven design process causing major alterations in the overall structure of the practice. The recent intervention is by the digital technology: on the one hand, it has brought precision and speedy processing in the design process, and on the other, it has eliminated some of the crucial actors from the practice. This paper, which forms part of a larger study on the situated and distributed cognitive process in Kashmiri carpet-weaving practice, describes the technological makeover of the design artifacts involved in this practice over the years and their resultant cognitive impact on the design process as well as on the practice. (shrink)

Deep brain stimulation has been of considerable interest to bioethicists, in large part because of the effects that the intervention can occasionally have on central features of the recipient’s personality. These effects raise questions regarding the philosophical concept of authenticity. In this article, we expand on our earlier work on the concept of authenticity in the context of deep brain stimulation by developing a diachronic, value-based account of authenticity. Our account draws on both existentialist and essentialist approaches to (...) authenticity, and Laura Waddell Ekstrom’s coherentist approach to personal autonomy. In developing our account, we respond to Sven Nyholm and Elizabeth O’Neill’s synchronic approach to authenticity, and explain how the diachronic approach we defend can have practical utility, contrary to Alexandre Erler and Tony Hope’s criticism of autonomy-based approaches to authenticity. Having drawn a distinction between the authenticity of an individual’s traits and the authenticity of that person’s values, we consider how our conception of authenticity applies to the context of anorexia nervosa in comparison to other prominent accounts of authenticity. We conclude with some reflections on the prudential value of authenticity, and by highlighting how the language of authenticity can be invoked to justify covert forms of paternalism that run contrary to the value of individuality that seems to be at the heart of authenticity. (shrink)

Deep learning algorithms are rapidly changing the way in which audiovisual media can be produced. Synthetic audiovisual media generated with deep learning—often subsumed colloquially under the label “deepfakes”—have a number of impressive characteristics; they are increasingly trivial to produce, and can be indistinguishable from real sounds and images recorded with a sensor. Much attention has been dedicated to ethical concerns raised by this technological development. Here, I focus instead on a set of issues related to the notion of (...) synthetic audiovisual media, its place within a broader taxonomy of audiovisual media, and how deep learning techniques differ from more traditional approaches to media synthesis. After reviewing important etiological features of deep learning pipelines for media manipulation and generation, I argue that “deepfakes” and related synthetic media produced with such pipelines do not merely offer incremental improvements over previous methods, but challenge traditional taxonomical distinctions, and pave the way for genuinely novel kinds of audiovisual media. (shrink)

Abstract: Vegetables that are popular and versatile over the world are peppers. Precise categorisation of pepper cultivars is vital for multiple uses, such as assessing market trends, regulating quality, and conducting genetic research. Classifying peppers using traditional methods can be subjective and time-consuming. This research proposes an automated pepper variety classification method based on deep learning. A deep convolutional neural network (CNN) model was trained on a dataset of 2,368 photos of peppers. With the purpose of accurately classifying (...) the pepper photos, the CNN was built to extract essential features from them. The trained model demonstrated its efficacy in differentiating between pepper varieties with an astounding accuracy of 100% on a held-out test set. Deep learning has the capacity to classify peppers accurately and efficiently, as this study shows. The suggested strategy can help the food processing, quality control, and agriculture sectors advance. (shrink)

Disagreements that resist rational resolution, often termed “deep disagreements”, have been the focus of much work in epistemology and informal logic. In this paper, I argue that they also deserve the attention of philosophers of mathematics. I link the question of whether there can be deep disagreements in mathematics to a more familiar debate over whether there can be revolutions in mathematics. I propose an affirmative answer to both questions, using the controversy over Shinichi Mochizuki’s work on the (...) abc conjecture as a potential example of both phenomena. I conclude by investigating the prospects for the resolution of mathematical deep disagreements in virtue-theoretic approaches to informal logic and mathematical practice. (shrink)

This paper constructs a model of metaphysical indeterminacy that can accommodate a kind of ‘deep’ worldly indeterminacy that arguably arises in quantum mechanics via the Kochen-Specker theorem, and that is incompatible with prominent theories of metaphysical indeterminacy such as that in Barnes and Williams (2011). We construct a variant of Barnes and Williams's theory that avoids this problem. Our version builds on situation semantics and uses incomplete, local situations rather than possible worlds to build a model. We evaluate the (...) resulting theory and contrast it with similar alternatives, concluding that our model successfully captures deep indeterminacy. (shrink)

Bad jokes are not simply non-humorous texts. They are texts that are humorous for someone––their author at least––but not for their audience. Bad jokes thus involve a contextual––pragmatic––dimension that is neglected in the semantic theories of humor. In this paper, we propose an approach to humor based on the Aristotelian notion of surprising enthymemes. Jokes are analyzed as kinds of arguments, whose tacit dimension can be retrieved and justified by considering the “logic” on which it is based. (...) However, jokes are based on specific pragmatic conditions: they are regarded as arguments grounded on a generalization that is at the same time uncommon, retrievable, and acceptable or plausible for the audience. This perspective integrates the “local logic” of jokes within a broader rhetorical theory that ultimately rests on the communicative notion of common ground. (shrink)

Default logic has been a very active research topic in artificial intelligence since the early 1980s, but has not received as much attention in the philosophical literature thus far. This paper shows one way in which the technical tools of artificial intelligence can be applied in contemporary epistemology by modeling a paradigmatic case of deep disagreement using default logic. In §1 model-building viewed as a kind of philosophical progress is briefly motivated, while §2 introduces the case of deep (...) disagreement we aim to model. On the heels of this, §3 defines our formal framework, viz., a refined Horty-style default logic. §4 then uses the framework to model deep disagreement, and finally §5 provides a critical discussion of the result. (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)

Abstract: A corn crop typically refers to a large-scale cultivation of corn (also known as maize) for commercial purposes such as food production, animal feed, and industrial uses. Corn is one of the most widely grown crops in the world, and it is a major staple food for many cultures. Corn crops are grown in various regions of the world with different climates, soil types, and farming practices. In the United States, for example, the Midwest is known as the "Corn (...) Belt" due to its extensive corn production. Corn crops can be grown using a variety of methods, including conventional tillage, no-till farming, and the use of genetically modified crops. Due to its importance, there is a need for discovering the corn diseases and treating them. The aim of this study is to propose a deep learning model for the classification of corn leaf diseases based on Convolutional Neural Network. A model for classifying maize diseases was developed using a dataset for classifying Corn diseases that contains 4 classes of disease. The dataset was collected from Keggel website. The proposed model was trained, validated, and tested. The F1-score (99.83%), Recall (99.83%), precision (99.83%), Accuracy (99.83%). (shrink)

In his 2014 article “Motivations for Relativism as a Solution to Disagreements”, Steven Hales argues that relativism is a plausible disagreement resolution strategy for epistemically irresolvable disagreements. I argue that his relativistic strategy is not adequate for disagreements of this kind, because it demands an impossible doxastic state for disputants to resolve the disagreement. Contrarily, Fogelin’s :1–8, 1985) theory of deep disagreement does not run into the same problems. Deep disagreements, according to Fogelin, cannot be resolved through argumentation (...) because the conditions for argumentation are lacking in such contexts. I advance the view that deep disagreements arise due to differences in disputants’ mutually supporting interrelated beliefs. This view avoids the hurdles caused by the tiered structure of support found at the heart of Hales’s view on disagreement: the assumption that belief and perspective can be separated, and that disagreement is located. (shrink)

The ever-evolving ways attacker continues to improve their phishing techniques to bypass existing state-of-the-art phishing detection methods pose a mountain of challenges to researchers in both industry and academia research due to the inability of current approaches to detect complex phishing attack. Thus, current anti-phishing methods remain vulnerable to complex phishing because of the increasingly sophistication tactics adopted by attacker coupled with the rate at which new tactics are being developed to evade detection. In this research, we proposed an adaptable (...) framework that combines Deep learning and Randon Forest to read images, synthesize speech from deep-fake videos, and natural language processing at various predictions layered to significantly increase the performance of machine learning models for phishing attack detection. (shrink)

Deep disagreements are characteristically resistant to rational resolution. This paper explores the contribution a virtue theoretic approach to argumentation can make towards settling the practical matter of what to do when confronted with apparent deep disagreement, with particular attention to the virtue of courage.

The COVID-19 outbreak has had a significant influence on the health of people all across the world, and preventing its further spread requires an early and correct diagnosis. Imaging using X-rays is often used to identify respiratory disorders like COVID-19, and approaches based on machine learning may be used to automate the diagnostic process. In this research, we present a deep learning approach for COVID-19 identification in X-ray pictures utilizing global thresholding. Our framework consists of two main components: (1) (...) global thresholding to preprocess X-ray images and extract features, and (2) a Convolutional Neural Network (CNN) for classifying the images as positive (indicating COVID-19) or negative (indicating no COVID-19). Global thresholding is used to convert X-ray images into binary images, which can highlight the features of interest, such as lung opacity. The Network is instructed to use a dataset consisting of X-ray pictures that have been labeled with the COVID-19 status of each image. The usefulness of our approach was shown by experimental findings obtained using a dataset of X-ray pictures that were made accessible to the public. We achieve high accuracy in COVID-19 detection, outperforming traditional machine learning techniques. Our framework is also able to correctly identify COVID-19 in images that were misclassified by human experts. (shrink)

Training deep neural networks (DNNs) has become a cornerstone of modern artificial intelligence, powering advancements in computer vision, natural language processing, and autonomous systems. However, the computational demands of DNN training are immense, necessitating the use of high-performance hardware like Graphics Processing Units (GPUs). Cloud computing has revolutionized this domain by offering scalable, on-demand GPU resources that dramatically accelerate model development and deployment. This paper explores the methodology, benefits, and challenges of training DNNs at scale using cloud-based GPUs. We (...) examine the technical underpinnings that make cloud GPUs suitable for deep learning, including parallel computation, memory optimization, and integration with popular machine learning frameworks such as TensorFlow and PyTorch. A critical review of cloud platforms—such as AWS EC2 P-series, Google Cloud TPUs, and Azure NVseries—highlights the unique capabilities and pricing structures that influence deployment strategies. We also discuss training optimization techniques including mixed-precision training, data parallelism, and container orchestration with Kubernetes. Key findings emphasize significant improvements in training time, model accuracy, and development agility when leveraging cloud GPU infrastructure. Nonetheless, challenges such as cost management, data transfer bottlenecks, and dependency on proprietary ecosystems persist. This study also presents use cases in domains like autonomous driving and large language model (LLM) development, demonstrating the transformative impact of cloud GPUs. The paper concludes with a proposed workflow for cloud-based DNN training and outlines future research directions, including green AI, federated learning with GPUs, and intelligent resource allocation. By following best practices and leveraging cloud-native tools, organization. (shrink)

A paper of Roger Crisp’s four years ago contained arguments that seemed to imply that having deep personal relationships does not constitute an element of well‐being. The lesson to draw from that paper of Crisp’s, according to a recent journal article of mine, is that one’s having a deep personal relationship does constitute an element of one’s well‐being on condition that one’s affection for the other person is merited. Crisp’s paper earlier in this issue of Ratio responds to (...) my arguments. Here I reply to new questions that Crisp poses or provokes. (shrink)

Deep Brain Stimulation (DBS) is a relatively new, experimental treatment for patients suffering from treatment-refractory Obsessive Compulsive Disorder (OCD). The effects of treatment are typically assessed with psychopathological scales that measure the amount of symptoms. However, clinical experience indicates that the effects of DBS are not limited to symptoms only: patients for instance report changes in perception, feeling stronger and more confident, and doing things unreflectively. Our aim is to get a better overview of the whole variety of changes (...) that OCD patients experience during DBS treatment. For that purpose we conducted in-depth, semi-structured interviews with 18 OCD patients. In this paper, we present the results from this qualitative study.We list the changes grouped in four domains: with regard to (a) person, (b) (social) world, (c)characteristics of person-world interactions, and (d) existential stance. We subsequently provide an interpretation of these results. In particular, we suggest that many of these changes can be seen as different expressions of the same process; namely that the experience of anxiety and tension gives way to an increased basic trust and increased reliance on one’s abilities. We then discuss the clinical implications of our findings, especially with regard to properly informing patients of what they can expect from treatment, the usefulness of including CBT in treatment, and the limitations of current measures of treatment success. We end by making several concrete suggestions for further research. (shrink)

Abstract: People all over the world have been drinking tea for thousands of centuries, and for good reason. Many types of teas can help you stay healthy by boosting your immune system, reducing inflammation, and even preventing cancer and heart disease. There is sufficient material to show that regularly consuming tea can improve your health over the long term. A deep learning model that categorizes tea disorders has been completed. When focusing on the tea, we must also focus on (...) and take into account the diseases that harm it. The aim of this paper is to diagnose tea diseases based on a dataset containing 8000 picture and 8 classes .The model gave the final accuracy test with an F1-score of 99.41% in an estimated time 3 second, as with these results it proved its effectiveness and good ability in the classification test. (shrink)

Speech Emotion Recognition (SER) is an essential component in human-computer interaction, enabling systems to understand and respond to human emotions. Traditional emotion recognition methods often rely on handcrafted features, which can be limited in capturing the full complexity of emotional cues. In contrast, deep learning approaches, particularly convolutional neural networks (CNNs), recurrent neural networks (RNNs), and long short-term memory (LSTM) networks, offer more robust solutions by automatically learning hierarchical features from raw audio data. This paper reviews recent advancements in (...) deep learning-based speech emotion recognition, discusses the various architectures used, and evaluates the challenges in real-world applications. We focus on the application of deep learning models to enhance the accuracy and robustness of SER, particularly in noisy environments. The study also discusses future directions for research, including multimodal emotion recognition and transfer learning to address challenges such as small datasets and cross-domain applications. (shrink)

Abstract: Lemons are an important fruit that have a wide range of uses and benefits, from culinary to health to household and beauty applications. Deep learning techniques have shown promising results in image classification tasks, including fruit quality detection. In this paper, we propose a convolutional neural network (CNN)-based approach for detecting the quality of lemons by analysing visual features such as colour and texture. The study aims to develop and train a deep learning model to classify lemons (...) based on their quality, evaluate the model's performance, compare it to traditional machine learning approaches, and identify key factors that affect the model's performance. The dataset used in the study consists of approximately 2533 images of lemons and an empty surface, divided into training, test, and validation data, and includes images of both good and bad quality lemons under different lighting conditions. The deep learning model achieved an accuracy of 99.74% on the test dataset and outperformed traditional machine learning approaches. The developed model has the potential to improve efficiency and accuracy in lemon quality control in the agriculture and food industry. (shrink)

Deep Self views of moral responsibility have been criticized for positing mysterious concepts, making nearly paradoxical claims about the ownership of one’s mental states, and promoting self-deceptive moral evasion. I defend Deep Self views from these pervasive forms of skepticism by arguing that some criticism is hasty and stems from epistemic injustice regarding testimonies of experiences of alienation, while other criticism targets contingent features of Deep Self views that ought to be abandoned. To aid in this project, (...) I provide original naturalistic analyses of “Self” and “internality” that replace the view’s metaphorical language with common-sensical concepts that make clear their usefulness. (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)

We claim that scientists working with deep learning (DL) models exhibit a form of pragmatic understanding that is not reducible to or dependent on explanation. This pragmatic understanding comprises a set of learned methodological principles that underlie DL model design-choices and secure their reliability. We illustrate this action-oriented pragmatic understanding with a case study of AlphaFold2, highlighting the interplay between background knowledge of a problem and methodological choices involving techniques for constraining how a model learns from data. Building successful (...) models requires pragmatic understanding to apply modelling strategies that encourage the model to learn data patterns that will facilitate reliable generalisation. (shrink)

Although the discipline of vice epistemology is only a decade old, the broader project of studying epistemic vices and failings is much older. This paper argues that contemporary vice epistemologists ought to engage more closely with these earlier projects. After sketching some general arguments in section one, I then turn to deep epistemic vices: ones whose identity and intelligibility depends on some underlying conception of human nature or the nature of reality. The final section then offers a case study (...) from a vice epistemic tradition that emerged in early modern English natural philosophy. (shrink)

Given the growing dependence on digital systems and the escalation of financial fraud occurrences, it is imperative to implement efficient cyber security protocols and fraud detection methodologies. The threat's dynamic nature often challenges conventional methods, necessitating the adoption of more sophisticated strategies. Individuals depend on pre-established regulations or problem-solving processes, which possess constraints in identifying novel and intricate fraudulent trends. Conventional techniques need help handling noise data and the substantial expenses incurred by false positives and true positives. To tackle these (...) obstacles, the present study introduces Deep Fraud Net, a framework that utilizes deep learning to detect and classify instances of financial fraud and cyber security threats. The Deep Fraud Net system model entails the utilization of a deep neural network to acquire intricate patterns and characteristics from extensive datasets through training. The framework integrates noise reduction methods to enhance the precision of fraud detection and improve the quality of input data. The Deep Fraud Net method attains a precision of 98.85%, accuracy of 93.35%, sensitivity of 99.05%, specificity of 93.16%, false positive rate of 7.34%, and true positive rate of 89.58%. The findings suggest that Deep Fraud Net can effectively detect and categorize instances of fraudulent behavior with a reduced occurrence of misclassifications. The method exhibits potential implications for diverse domains that prioritize robust security and fraud detection, including but not limited to banking, e-commerce, and online transactions. (shrink)

Why is it that some instances of disagreement appear to be so intractable? And what is the appropriate way to handle such disagreements, especially concerning matters about which there are important practical and political needs for us to come to a consensus? In this paper, I consider an explanation of the apparent intractability of deep disagreement offered by hinge epistemology. According to this explanation, at least some deep disagreements are rationally unresolvable because they concern ‘hinge’ commitments that are (...) unresponsive to rational considerations. This explanation, if correct, seems to have troubling implications for how we should respond to deep disagreement. If my position on a topic is not responsive to rational considerations, then what choice have I but to dogmatically hold to that position, and simply dismiss the views of those with whom I disagree? I address this problem by identifying an attitude of intellectual humility that is appropriate to have towards one's hinge commitments, and suggest that this attitude provides the basis for a non-rational, constructive way to resolve deep disagreement. (shrink)

‘Deep adaptation’ refers to the personal and collective changes that might help us to prepare for – and live with – a climate-influenced breakdown or collapse of our societies. It is a framework for responding to the terrifying realization of increasing disruption by committing ourselves to reducing suffering while saving more of society and the natural world. This is the first book to show how professionals across different sectors are beginning to incorporate the acceptance of likely or unfolding societal (...) breakdown into their work and lives. They do not assume that our current economic, social and political systems can be made resilient in the face of climate change but, instead, they demonstrate the caring and creative ways that people are responding to the most difficult realization with which humanity may ever have to come to terms. Edited by the originator of the concept of deep adaptation, Jem Bendell, and a leading climate activist and strategist, Rupert Read, this book is the essential introduction to the concept, practice and emerging global movement of Deep Adaptation to climate chaos. (shrink)

This paper provides a reinterpretation of some of the most influential skeptical arguments, Agrippa’s trilemma, meta-regress arguments, and Cartesian external world skepticism. These skeptical arguments are reasonably regarded as unsound arguments about the extent of our knowledge. However, reinterpretations of these arguments tell us something significant about the preconditions and limits of persuasive argumentation. These results contribute to the ongoing debates about the nature and resolvability of deep disagreement. The variety of skeptical arguments shows that we must distinguish different (...) types of deep disagreement. Moreover, the reinterpretation of skeptical arguments elucidates that deep disagreement cannot be resolved via argumentation. (shrink)

Traffic sign detection and recognition (TSDR) is a critical aspect of autonomous driving and intelligent transportation systems. Traditional methods of traffic sign detection rely on handcrafted features and classical machine learning algorithms, which often struggle to achieve high accuracy in complex real-world environments. In contrast, deep learning techniques, particularly Convolutional Neural Networks (CNNs), have shown remarkable performance in both detecting and recognizing traffic signs in diverse conditions. This paper reviews the application of deep learning methods for TSDR, focusing (...) on recent advancements in the use of CNNs, Region-based CNNs (R-CNNs), and YOLO (You Only Look Once) for real-time detection and recognition of traffic signs. We discuss the challenges, including the variability of traffic signs, environmental factors, and computational requirements, and present solutions proposed in the literature. The paper also highlights future directions for improving the robustness, accuracy, and speed of traffic sign detection and recognition systems, with an emphasis on real-time applications. (shrink)

Under the current Mental Health Act of England and Wales, it is lawful to perform deep brain stimulation in the absence of consent and independent approval. We argue against the Care Quality Commission's preferred strategy of addressing this problematic issue, and offer recommendations for deep brain stimulation-specific provisions in a revised Mental Health Act.

People suffering from Obsessive-Compulsive Disorder (OCD) do things they do not want to do, and/or they think things they do not want to think. In about 10 percent of OCD patients, none of the available treatment options is effective. A small group of these patients is currently being treated with deep brain stimulation (DBS). Deep brain stimulation involves the implantation of electrodes in the brain. These electrodes give a continuous electrical pulse to the brain area in which they (...) are implanted. It turns out that patients may experience profound changes as a result of DBS treatment. It is not just the symptoms that change; patients rather seem to experience a different way of being in the world. These global effects are insufficiently captured by traditional psychiatric scales, which mainly consist of behavioural measures of the severity of the symptoms. In this article we aim to capture the changes in the patients’ phenomenology and make sense of the broad range of changes they report. For that we introduce an enactive, affordance-based model that fleshes out the dynamic interactions between person and world in four aspects. The first aspect is the patients’ experience of the world. We propose to specify the patients’ world in terms of a field of affordances, with the three dimensions of broadness of scope (‘width’ of the field), temporal horizon (‘depth’), and relevance of the perceived affordances (‘height’). The second aspect is the person-side of the interaction, that is, the patients’ self-experience, notably their moods and feelings. Thirdly, we point to the different characteristics of the way in which patients relate to the world. And lastly, the existential stance refers to the stance that patients take towards the changes they experience: the second-order evaluative relation to their interactions and themselves. With our model we intend to specify the notion of being in the world in order to do justice to the phenomenological effects of DBS treatment. (shrink)

This article starts off with a historical section showing that deep disagreements among notions of social and political justice are a characteristic feature of the history of political thought. Since no agreement or consensus on distributive justice is possible, the article argues that political philosophers should – instead of continuously proposing new normative theories of justice – focus on analyzing the reasons, significance, and consequences of such kinds of disagreements. The next two sections are analytical. The first sketches five (...) possible reasons for deep disagreements among notions of social and political justice. The second discusses the meta-ethical relevance of the lack of consensus on justice and rejects ethical realism and cognitivism based on the argument from deep disagreements. (shrink)

Abstract : Background: Vegetable agriculture is very important to human continued existence and remains a key driver of many economies worldwide, especially in underdeveloped and developing economies. Objectives: There is an increasing demand for food and cash crops, due to the increasing in world population and the challenges enforced by climate modifications, there is an urgent need to increase plant production while reducing costs. Methods: In this paper, Lemon classification approach is presented with a dataset that contains approximately 2,000 images (...) belong to 3 species at a few developing phases. Convolutional Neural Network (CNN) algorithms, a deep learning technique extensively applied to image recognition was used, for this task. The results: found that CNN-driven lemon classification applications when used in farming automation have the latent to enhance crop harvest and improve output and productivity when designed properly. The trained model achieved an accuracy of 99.48% on a held-out test set, demonstrating the feasibility of this approach. (shrink)

The existence of deep moral disagreement is used in support of views ranging from moral relativism to the impossibility of moral expertise. This is done despite the fact that it is not at all clear whether deep moral disagreements actually occur, as the usually given examples are never of real life situations, but of some generalized debates on controversial issues. The paper will try to remedy this, as any strength of arguments appealing to deep moral disagreement is (...) partly depended on the fact the disagreement exists. This will be done by showing that some real life conflicts that are intractable, i.e. notoriously difficult to resolve, share some important features with deep moral disagreement. The article also deals with the objection that the mere conceptual possibility renders illustrations of actually happening deep moral disagreements unnecessary. The problem with such objection is that it depends on theoretical assumptions (i.e. denial of moral realism) that are not uncontroversial. Instead, the article claims we need not only suppose deep moral disagreements exist because they actually occur when some intractable conflicts occur. Thus, in so far as to the deep moral disagreement’s existence, the arguments appealing to it are safe. But as intractable conflicts can be resolved, by seeing deep moral disagreements as constitutive part of them, we might have to consider whether deep moral disagreements are resolvable too. A brief suggestion of how that might look like is given in the end of the paper. (shrink)

With the early success of the deep ecology movement in attracting adherents and with the increasing threat of a global ecological catastrophe, one would have expected this movement to have triumphed. We should be in the process of radically transforming society to create a harmonious relationship between humans and the rest of nature. Instead, deep ecology has been marginalized. What has triumphed instead is an alliance of managerialism, transnational corporations and neo-liberalism committed to replacing communities with markets and (...) transforming every facet of nature and society into means for increasing the profitability of corporations and expanding GDP. This outcome is here explained by the failure of deep ecologists to understand the ideological, political and economic forces driving ecological destruction, and thereby what is required to overcome these. To regain the initiative, it is argued, it will be necessary to recover the whole project of the Radical Enlightenment upholding the Renaissance quest for liberty that was subverted by the scientific materialism and possessive individualism of the Moderate Enlightenment. Not only will it be necessary to transform science to develop a comprehensive alternative conception of nature and humanity and its destiny, it will be necessary to revive and develop the institutions of the Radical Enlightenment to subordinate markets to democratically organized communities at multiple levels, as communities of communities committed to augmenting the life of these communities, including the life of ecological communities. Doing so will involve reformulating the grand narrative of emancipation as a dialogic, polyphonic grand narrative to orient individuals, organizations and nations to create a global ecological civilization. -/- . (shrink)

In 2015, Fainos Mangena published an essay entitled “How Applicable is the Idea of Deep Ecology in the African Context?” where he presented a number of arguments to support his thesis that deep ecology as discussed in the West has no place in the African context. Mangena later presented a counter-version of deep ecology that he claims is based on African philosophy. In this paper, I interrogated Mangena’s arguments for rejecting deep ecology and found that they (...) were based on certain erroneous presuppositions. Further, I developed a critique of Mangena’s Shona version of deep ecology which shows it to be impractical, unappealing, and based on a misunderstanding of the true nature of the modern African environment. I employ the method of conversationalism in this work. Keywords: Deep Ecology, African Environmental Ethics, Fainos Mangena. (shrink)

“What is appreciation?” is a basic question in the philosophy of art, and the analogy between appreciating a work of art and getting a joke can help us answer it. We first propose a subjective account of aesthetic appreciation (I). Then we consider jokes (II). The difference between getting a joke and not, or what it is to get it right, can often be objectively articulated. Such explanations cannot substitute for the joke itself, and indeed may undermine the very (...) power of the joke to evoke an appropriate response. Sometimes the discourse of art critics can have a similar effect. We therefore explore the analogy between getting jokes and appreciating works of art (III), and find it unexpectedly strong. Finally (IV), we consider Wittgensteinian grounds for thinking as we do, considering the language game of joke-telling, the relevance of seeing aspects, and giving reasons. (shrink)