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)

Culturally the Indians were always “one”. The Titular Mughal Emperor was there to serve as a thread of unity among the Indians. The British showed disrespect to the Emperor which offended the Indians in General and the Muslims in special. India possesses its own economic system mainly based on agriculture and small industry. The foreign rulers were sending Indian raw-materials to Britain for feeding their new born industries and thus were exploiting Indian resources. The “Doctrine of Lapse” or “Escheat” policy (...) destroyed the Indian Industries. Indian Artisans, craftsman etc. became jobless and the burden of farmland increased. Poverty grabbed seriously the people. The Indian soldiers were paid low-salaries (starting from Rs. 7 to the end of Rs. 9). Indian soldiers were ill-treated in Army by the English causing rise of discrimination in their mind. The number of Indians in Army was far larger than the British sepoys (ratio 6:1). Most of the Indian soldiers were belong to Brahmin and Thakurs of East-India. A general discontent existed among all the Indian soldiers. Such dis-satisfaction were intensified by the Lord Canning introduction of “General Service Act” which required by the sepoys to march anywhere of British Empire. It is obvious that Indian sepoys had natural love and respect their motherland and faith of their own religion. The introduction of Enfield rifle with the cartridges greased with the fat of cow and pig, obnoxious to both the Hindus and Muslims set the spark that enkindled the embers of discontent of the Indian sepoy stored in them for a long time. (shrink)

The philosophy of ‘karma’ is a doctrine to consider being the foundation stone of the entire Indian Philosophical outlook. The Bhagavad Gita is most beloved scripture of Indian thought and one of the prime chapters of this scripture is the ‘law of karma’. According to it, every man profit from what he does and suffers from what he does. Karmayoga is mainly based on niskam-karma but not the mere renunciation of Karma. We have to give up the attachment and the (...) fruit regarding the action. So, the action is our Svadharma, fruit or result is not our concern. The Gita said that the nature of Karma was natural, inherent in man’s existence and everybody has to work. Hence an attempt is made here to discuss the law of karma as considered by the Bhagavad Gita. (shrink)

The present paper is an attempt to discuss issues and challenges of Cyber Crime in India from an ethical perspective. Ethics is a branch of philosophy which deals with what is considered to be right or wrong. The ethics centers and program devoted to busin age for several re crime’. The advancement ess ethics, legal ethics, bioethics, medical ethics, engineering ethics, and computer ethics have sprung up. Cyber crime is emerging as a serious threat. Computer Technology is one of the (...) important general purpose Technologies in today’s asons. Today it is used in almost all the organizations, institutions, and people. Computer technology makes the life so speedy and fast, but hurled under the eclipse of threat from the deadliest type of criminality termed as 'Cyber of IT brings so many facilities to us; but also brings so many problems and challenges too and out of which Cyber Crime is a kind of offence which deals with the cyber world which includes computer security, information security, and mobile security too. The increasing number of crimes in the field of Information Technology brings a big attraction to Cyber Crime to everyone. (shrink)

In this paper, I propose to discuss the theory of error or Khyativāda with special reference to Nyāya philosophy. The error is an epistemological concept. As such it is contrasted with the truth. Philosophers, while dealing with the concept of error, have analyzed it from logical, metaphysical and psychological perspective. The problem of error in Indian philosophy is discussed in the different theories known as the Khyativāda. According to Nyāya School error is known as anyathākhyativāda. Here 'anyathā' literally means 'otherwise' (...) or 'else-wise'. When shell is perceived as silver, the erroneous cognition consists in the fact that the shell is perceived otherwise i.e. as other than what it really is. Error is an instance of erroneous judgement resulting from mischaracterization. Naiyāyikas bring in jñānalaksana pratyaksa to account for perceptual error. And the later Naiyāyikas are trying to explain the perceptual character of illusory experience, undoubtedly, an illusion, there is the attribution of false character to a perceived fact. (shrink)

The human-nature relationship has been a focus of research for the environment has seen a dramatic increase. To subdue nature, to bend its forces to our will, has been the acknowledged purpose of mankind since human life began, but the time has come for a revision of our conception of the benefits and responsibilities of holding domination over all other created things. A new spirit is abroad as scientists and layman realize that man and the rest of nature are united (...) and indivisible. The study of anthropocentrism and biocentrism as approach to study the human-nature relationship has not yet received enough attention. Although both express environmental concerns and have an interest in protecting nature and also have recognize that we have a responsibility to the environment, but they have different motives. This paper is an attempt to expound and clarify these two concepts and try to give answer to the question “Does it matter which of these two views we adopt?”. (shrink)

In this paper, we analyze and discuss Schopenhauer’s n-term diagrams for eristic dialectics from a graph-theoretical perspective. Unlike logic, eristic dialectics does not examine the validity of an isolated argument, but the progression and persuasiveness of an argument in the context of a dialogue or even controversy. To represent these dialogue situations, Schopenhauer created large maps with concepts and Euler-type diagrams, which from today’s perspective are a specific form of graphs. We first present the original method with Euler-type diagrams, then (...) give the most important graph-theoretical definitions, then discuss Schopenhauer’s diagrams graph-theoretically and finally give an example of how the graphs or diagrams can be used to analyze dialogues. (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)

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)

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)

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)

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)

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)

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)

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)

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)

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.

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)

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)

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)

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)

Seabed mining, the extraction of minerals from the deep-sea floor, is hotly contested. Policymakers have agreed on the need for a regulatory framework. However, traditional ethical theories and principles are not well equipped for the ethics of the alien deep sea. Engaging with the sea means engaging with something abstract that we can only access indirectly. We argue that this invisibility and alienness of the sea and its inhabitants can give new insights into how ethics are done. Rather (...) than getting even more grip on what is already directly known, considering what is outside our usual moral view may be just as valuable. To do so, art can help us think with these unknown and invisible parts of the ecosystem. For that, we describe three cases. The scientist and artist Eugen Ransonnet engaged with the underwater world in the late 19th century. The Victorian flower painter Marianne North's unruly approach greatly influenced the botanic discourse until today. And finally, Christina Stadlbauer's Institute for the Relocation of Biodiversity and her work with the mollusk Pinna Nobilis in Mar Menor, Spain. We describe the Pinna Nobilis video project and the ethical and political opportunities it opens. We propose that engaging with the arts can pave the way towards including the unknown in ethical reflection and, at the same time, how it can rephrase questions that can help us reconsider what is outside of our moral view. (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)

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)

The book [Meandering Sobriety] dives into the importance of deep thinking amidst the chaos of modern life, which is a topic I find really intriguing. What I loved most is how Vuong blends humor with serious insights. His reflections on silence and mindfulness hit home, reminding us of the power of taking a step back and reflecting on our lives. I especially enjoyed his clever stories, like the sage outsmarting a king, which showed how quick thinking can really save (...) the day. I don’t think this book is for everyone, though. It often veers into overly intellectual territory, which doesn’t really make for casual reading. But it’s always interesting and always stimulating. So if you’re up for a stimulating read about a fascinating topic, this book is a great find. It will help you navigate the complexities of everyday living and make you really appreciate the value of calm, reasoned thought in a chaotic world. (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)

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)

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)

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)

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)

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)

Sripada has recently advanced a new account for asymmetries that have been uncovered in folk judgments of intentionality: the ?Deep Self model,? according to which an action is more likely to be judged as intentional if it matches the agent's central and stable attitudes and values (i.e., the agent's Deep Self). In this paper, we present new experiments that challenge this model in two ways: first, we show that the Deep Self model makes predictions that are falsified, (...) then we present cases that it cannot account for. Finally, we discuss how the Deep Self model could be modified to accommodate these new data. (shrink)

Abstract: Forests are areas with a high density of trees, and they play a vital role in the health of the planet. They provide a habitat for a wide variety of plant and animal species, and they help to regulate the climate by absorbing carbon dioxide from the atmosphere. While in 2010, the world had 3.92Gha of forest cover, covering 30% of its land area, in 2019, there was a loss of forest cover of 24.2Mha according to the Global Forest (...) Watch institute. Discovery and classification depend on human experience and effort, so the error in the results of this process can lead to forest fires and disasters. Therefore, deep learning algorithms from artificial intelligence and machine learning sciences have been applied to help specialists avoid false or inaccurate diagnoses when detecting Forest fires in images using a pre-trained convolutional neural network called VGG16. The model was customized to fit the Forest fires classification and then applied to a dataset consisting of (14,000) of the Forests collected from the Kaggle depository. We trained, validated, and tested the modified VGG16 model. The proposed VGG16 model obtained Precision (99.96%), Recall (99.96%), and F1-Score (99.96%). (shrink)

Deep decarbonization – slashing global greenhouse gas emissions to net-zero – now dominates global climate policy. Two recent books assess feasible routes to achieve deep decarbonization. Bill Gates’ How to Avoid a Climate Disaster explains in depth why deep decarbonization requires significant innovations in tech, and Danny Cullenward and David Victor’s Making Climate Policy Work emphasizes the importance of policy innovation (beyond carbon pricing) for driving clean tech breakthroughs. In this critical review essay, I summarize and assess (...) both books. In the final section, I raise several normative questions, which the pair of books might lead us to. (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)

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)

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)

I intend to bring recent work applying virtue theory to the study of argument to bear on a much older problem, that of disagreements that resist rational resolution, sometimes termed "deep disagreements". Just as some virtue epistemologists have lately shifted focus onto epistemic vices, I shall argue that a renewed focus on the vices of argument can help to illuminate deep disagreements. In particular, I address the role of arrogance, both as a factor in the diagnosis of (...) class='Hi'>deep disagreements and as an obstacle to their mutually acceptable resolution. Arrogant arguers are likely to make any disagreements to which they are party seem deeper than they really are and arrogance impedes the strategies that we might adopt to resolve deep disagreements. As a case in point, since arrogant or otherwise vicious arguers cannot be trusted not to exploit such strategies for untoward ends, any policy for deep disagreement amelioration must require particularly close attention to the vices of argument, lest they be exploited by the unscrupulous. (shrink)

In this paper I begin by examining Fogelin’s account of deep disagreement. My contention is that this account is so deeply flawed as to cast doubt on the possibility that such deep disagreements actually happen. Nevertheless, I contend that the notion of deep disagreement itself is a useful theoretical foil for thinking about argumentation. The second part of this paper makes this case by showing how thinking about deep disagreements from the perspective of rhetoric, Walton-style argumentation (...) theory, computation, and normative pragmatics can all yield insights that are useful no matter what one’s orientation within the study of argument. Thus, I conclude that deep disagreement –even if it were to turn out that there are no real-world occurrences of it to which we can point–is useful for theorists of argumentation. In this wise, deep disagreement poses a theoretical challenge for argumentation theory not unlike that posed by radical skepticism for traditional epistemology. (shrink)

Abstract: Dates are the fruit of date palm trees, and it is one of the fruits famous for its high nutritional value. It is a summer fruit spread in the Arab world. In the past, the Arabs relied on it in their daily lives. Dates take an oval shape and vary in size from 20 to 60 mm in length and 8 to 30 mm in diameter. The ripe fruit consists of a hard core surrounded by a papery cover called (...) the tartar that separates the core from the fleshy part that is eaten. Historians disagreed about the place of its origin, so some historians expressed their belief that it had originated around the Arabian Gulf, and some of them say that the oldest known information about palm trees was in Babylon 4 thousand years ago BC. It is known about the ancient Egyptians using dates in wine. Dates contain a high nutritional value and are considered a basic food for man since ancient times. The fruits of dates are considered the highest fruits in containing sugars. These components vary according to the nature of the fruit, whether it is wet, semi-dry or dry, as well as according to the environmental conditions surrounding the trees. The components of the fruits also differ in different varieties and increase the percentage of sugars in dates is 70-78% of the fruit’s components. These sugars are characterized by their rapid absorption and transfer into the blood directly, digestion and burning. 10 dates (about 100 grams) per day provide a person with all his daily needs of magnesium, manganese, copper, sulfur and half of his needs of calcium and potassium. In this paper we presented a system that recognize the nine types of dates based on deep learning using python on Colab, and classifying using a dataset contain 1350 images. Our trained model achieved an accuracy of 99.44% on a proven test set. (shrink)

Abstract: Potatoes are edible tubers, available worldwide and all year long. They are relatively cheap to grow, rich in nutrients, and they can make a delicious treat. The humble potato has fallen in popularity in recent years, due to the interest in low-carb foods. However, the fiber, vitamins, minerals, and phytochemicals it provides can help ward off disease and benefit human health. They are an important staple food in many countries around the world. There are an estimated 200 varieties of (...) potatoes, which can be classified into a number of categories based on the cooked texture and ingredient functionality. Using a public dataset of 2400 images of potatoes, we trained a deep convolutional neural network to identify 4 types (Red, Red Washed, Sweet, and White).The trained model achieved an accuracy of 99.5% of test set, demonstrating the feasibility of this approach. (shrink)

The precautionary principle is invoked in a number of important personal and policy decision contexts. Peterson shows that certain ways of making the principle precise are inconsistent with other criteria of decision-making. Some object that the results do not apply to cases of deep uncertainty or value incommensurability which are alleged to be in the principle’s wheelhouse. First, I show that Peterson’s impossibility results can be generalized considerably to cover cases of both deep uncertainty and incommensurability. Second, I (...) contrast an alternative way of giving voice to the precautionary impulse. (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)

Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines or software that work and react like humans. Some of the activities computers with artificial intelligence are designed for include, Speech, recognition, Learning, Planning and Problem solving. Deep learning is a collection of algorithms used in machine learning, It is part of a broad family of methods used for machine learning that are based on learning representations of data. Deep learning is a (...) technique used to produce Pneumonia detection and classification models using x-ray imaging for rapid and easy detection and identification of pneumonia. In this thesis, we review ways and mechanisms to use deep learning techniques to produce a model for Pneumonia detection. The goal is find a good and effective way to detect pneumonia based on X-rays to help the chest doctor in decision-making easily and accuracy and speed. The model will be designed and implemented, including both Dataset of image and Pneumonia detection through the use of Deep learning algorithms based on neural networks. The test and evaluation will be applied to a range of chest x-ray images and the results will be presented in detail and discussed. This thesis uses deep learning to detect pneumonia and its classification. (shrink)

‘Shallow’ and ‘deep’ versions of scientific realism may be distinguished as follows: the shallow realist is satisfied with belief in the existence of the posits of our best scientific theories; by contrast, deep realists claim that realism can be legitimate only if such entities are described in metaphysical terms. We argue that this methodological discussion can be fruitfully applied in Everettian quantum mechanics, specifically on the debate concerning the existence of worlds and the recent dispute between Everettian actualism (...) and quantum modal realism. After presenting what is involved in such dispute, we point to a dilemma for realists: either we don’t have the available metaphysical tools to answer the deep realist’s demands, and realism is not justified in this case, or such demands of metaphysical dressing are not mandatory for scientific realism, and deep versions of realism are not really required. (shrink)

In this paper, I will argue for a complex of three theses. First, that the problem of deep disagreement is an instance of the regress problem of justification. Second, that the problem of deep disagreement, as a regress problem, depends on a dialecticality requirement for arguments. Third, that the dialecticality requirement is plausible and defensible.