Results for 'image recognition'

978 found
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  1. (1 other version)Machine Learning and Irresponsible Inference: Morally Assessing the Training Data for Image Recognition Systems.Owen C. King - 2019 - In Matteo Vincenzo D'Alfonso & Don Berkich (eds.), On the Cognitive, Ethical, and Scientific Dimensions of Artificial Intelligence. Springer Verlag. pp. 265-282.
    Just as humans can draw conclusions responsibly or irresponsibly, so too can computers. Machine learning systems that have been trained on data sets that include irresponsible judgments are likely to yield irresponsible predictions as outputs. In this paper I focus on a particular kind of inference a computer system might make: identification of the intentions with which a person acted on the basis of photographic evidence. Such inferences are liable to be morally objectionable, because of a way in which they (...)
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  2. 12. Feuerbach and the Image of Thought.Henry Somers-Hall - 2015 - In Craig Lundy & Daniela Voss (eds.), At the Edges of Thought: Deleuze and Post-Kantian Philosophy. Edinburgh: Edinburgh University Press. pp. 253-271.
    ‘The Image of Thought’ could be considered to be the most important piece of writing in the entire Deleuzian corpus. This is the chapter of Difference and Repetition that several decades later, Deleuze claims is the ‘most necessary and the most concrete’ (Deleuze 1994: xvii) section of the book, and the one that provides a basis for his later work with Guattari. Here, Deleuze engages with two basic issues. First, he separates out his conception of thinking, and with it, (...)
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  3.  23
    Deep Learning for Terrain Recognition.Sruthi Donthri - 2024 - International Journal of Engineering Innovations and Management Strategies 1 (7):1-15.
    .Terrain recognition is critical in various applications, including autonomous navigation, disaster response, and remote sensing. Traditional methods rely heavily on convolutional neural networks (CNNs), which require significant computational resources for high accuracy. Vision transformers (ViTs) have recently emerged as a novel approach to image processing, offering superior capability in processing long-range dependencies in visual data. This paper proposes a terrain recognition model based on Vision Transformers, aiming to improve classification accuracy and processing efficiency on complex terrain datasets. (...)
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  4.  78
    Against Imprinting: The Photographic Image as a Source of Evidence.Dawn M. Wilson - 2022 - Social Research: An International Quarterly 89 (4):947-969.
    A photographic image is said to provide evidence of a photographed scene because it is a causal imprint of reflected light, an indexical trace of real objects and events. Though widely established in the history, theory, and philosophy of photography, this traditional imprinting model must be rejected because it relies on a “single-stage” misconception of the photographic process: the idea that a photographic image comes into existence at the time of exposure. In its place, a “multistage” account properly (...)
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  5.  2
    Deep Learning for Terrain Recognition.Sruthi Donthri - 2024 - International Journal of Engineering Innovations and Management Strategies 1 (7):1-15.
    .Terrain recognition is critical in various applications, including autonomous navigation, disaster response, and remote sensing. Traditional methods rely heavily on convolutional neural networks (CNNs), which require significant computational resources for high accuracy. Vision transformers (ViTs) have recently emerged as a novel approach to image processing, offering superior capability in processing long-range dependencies in visual data. This paper proposes a terrain recognition model based on Vision Transformers, aiming to improve classification accuracy and processing efficiency on complex terrain datasets. (...)
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  6. Seeing-in an Image: Husserl and Wollheim on Pictorial Representation Revisited.Rodrigo Yllaric Sandoval - 2020 - Kunstiteaduslikke Uurimusi 29 (3-4):31-55.
    This paper proposes a parallel between the theories of pictorial representation put forward by Edmund Husserl and Richard Wollheim. By doing so, it aims to facilitate a dialogue that can provide some new elements for an appropriate understanding of threefold seeing-in. The first section offers a comprehensive interpretation of Husserl’s theory of image-consciousness. This experience is considered a threefold perceptual phantasy, different from perception and sign-consciousness. The second section presents a review of Wollheim’s theory of twofold seeing-in and addresses (...)
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  7. The Face Image Meta-Database (fIMDb) & ChatLab Facial Anomaly Database (CFAD): Tools for research on face perception and social stigma.Clifford Ian Workman & Anjan Chatterjee - 2021 - Methods in Psychology 5 (100063):1-9.
    Investigators increasingly need high quality face photographs that they can use in service of their scholarly pursuits—whether serving as experimental stimuli or to benchmark face recognition algorithms. Up to now, an index of known face databases, their features, and how to access them has not been available. This absence has had at least two negative repercussions: First, without alternatives, some researchers may have used face databases that are widely known but not optimal for their research. Second, a reliance on (...)
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  8. Mechanisms and Model-Based Functional Magnetic Resonance Imaging.Mark Povich - 2015 - Philosophy of Science 82 (5):1035-1046.
    Mechanistic explanations satisfy widely held norms of explanation: the ability to manipulate and answer counterfactual questions about the explanandum phenomenon. A currently debated issue is whether any nonmechanistic explanations can satisfy these explanatory norms. Weiskopf argues that the models of object recognition and categorization, JIM, SUSTAIN, and ALCOVE, are not mechanistic yet satisfy these norms of explanation. In this article I argue that these models are mechanism sketches. My argument applies recent research using model-based functional magnetic resonance imaging, a (...)
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  9.  20
    Domestic Waste Management.S. Boopathi - 2024 - International Journal of Engineering Innovations and Management Strategies 1 (8):1-14.
    This project aims to address the challenges of domestic waste management through a comprehensive web-based solution. With inefficient waste handling posing significant environmental and public health issues, our solution offers a multifaceted approach to improve waste management practices. The system provides a range of features, including educational resources on waste reduction, reuse, and recycling, to enhance public awareness. It also includes a community engagement section for reporting local waste issues and requesting bin collections. Additionally, advanced image recognition technology (...)
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  10. (1 other version)Controlling (mental) images and the aesthetic perception of racialized bodies.Adriana Clavel-Vazquez - forthcoming - Ergo.
    Aesthetic evaluations of human bodies have important implications for moral recognition and for individuals’ access to social and material goods. Unfortunately, there is a widespread aesthetic disregard for non-white bodies. Aesthetic evaluations depend on the aesthetic properties we regard objects as having. And it is widely agreed that aesthetic properties are directly accessed in our experience of aesthetic objects. How, then, might we explain aesthetic evaluations that systematically favour features associated with white identity? Critical race philosophers, like Alia Al-Saji, (...)
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  11. Real-Time Emotion Recognition System using Facial Expressions and Soft Computing methodologies.S. Arun Inigo, Rajesh Kumar V. & Ashok Ram P. - 2022 - Journal of Science Technology and Research (JSTAR) 3 (1):1-14.
    Facial Expression conveys non-verbal cues, which plays an important role in interpersonal relations. The Cognitive Emotion AI system is the process of identifying the emotional state of a person. The main aim of our study is to develop a robust system which can detect as well as recognize human emotion from live feed. There are some emotions which are universal to all human beings like angry, sad, happy, surprise, fear, disgust and neutral. The methodology of this system is based on (...)
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  12.  18
    Neural Networks in the Wild: Advancing Bird Species Recognition with Deep Learning.M. Elavarasan - 2023 - Journal of Science Technology and Research (JSTAR) 4 (1):1-10.
    The system utilizes a convolutional neural network (CNN), renowned for its proficiency in image classification tasks. A dataset comprising diverse bird species images is preprocessed and augmented to enhance model robustness and generalization. The model architecture is designed to extract intricate features, enabling accurate identification even in challenging scenarios such as varying lighting conditions, occlusions, or similar species appearances. The model's performance is evaluated using metrics such as accuracy, precision, recall, and F1-score, ensuring comprehensive validation. Results indicate significant accuracy (...)
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  13. arnessing Neural Networks for Precise Eagle-Fish Recognition in Natural Habitats.A. Manoj Prabharan - 2023 - Journal of Science Technology and Research (JSTAR) 4 (1):1-12.
    This project, titled Bird Species Identification Using Deep Learning, aims to develop a robust system that can identify bird species from images with high precision. The core of this project involves training a CNN model on a diverse dataset of bird images. This dataset includes species from various geographical locations and environments, capturing a wide range of appearances, postures, and behaviors. By preprocessing and augmenting the dataset, the model is designed to handle challenges such as variations in lighting, background noise, (...)
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  14. Deep Learning for Wildlife: Eagle-Fish Recognition at Scale.Akram Muhammad - 2023 - Journal of Science Technology and Research (JSTAR) 4 (1):2023.
    Advancements in technology, particularly in the field of artificial intelligence (AI), have opened new avenues for solving complex biological and ecological challenges. Among these, deep learning has emerged as a powerful tool for image-based classification tasks. Convolutional Neural Networks (CNNs), a subset of deep learning algorithms, are especially effective in recognizing patterns and extracting features from images. This capability makes CNNs highly suitable for applications in bird species identification. By leveraging deep learning techniques, researchers and conservationists can automate the (...)
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  15. Lemon Classification Using Deep Learning.Jawad Yousif AlZamily & Samy Salim Abu Naser - 2020 - International Journal of Academic Pedagogical Research (IJAPR) 3 (12):16-20.
    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 (...)
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  16. Classification of A few Fruits Using Deep Learning.Mohammed Alkahlout, Samy S. Abu-Naser, Azmi H. Alsaqqa & Tanseem N. Abu-Jamie - 2022 - International Journal of Academic Engineering Research (IJAER) 5 (12):56-63.
    Abstract: Fruits are a rich source of energy, minerals and vitamins. They also contain fiber. There are many fruits types such as: Apple and pears, Citrus, Stone fruit, Tropical and exotic, Berries, Melons, Tomatoes and avocado. Classification of fruits can be used in many applications, whether industrial or in agriculture or services, for example, it can help the cashier in the hyper mall to determine the price and type of fruit and also may help some people to determining whether a (...)
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  17. Type of Tomato Classification Using Deep Learning.Mahmoud A. Alajrami & Samy S. Abu-Naser - 2020 - International Journal of Academic Pedagogical Research (IJAPR) 3 (12):21-25.
    Abstract: Tomatoes are part of the major crops in food security. Tomatoes are plants grown in temperate and hot regions of South American origin from Peru, and then spread to most countries of the world. Tomatoes contain a lot of vitamin C and mineral salts, and are recommended for people with constipation, diabetes and patients with heart and body diseases. Studies and scientific studies have proven the importance of eating tomato juice in reducing the activity of platelets in diabetics, which (...)
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  18. Papaya Maturity Classifications using Deep Convolutional Neural Networks.Marah M. Al-Masawabe, Lamis F. Samhan, Amjad H. AlFarra, Yasmeen E. Aslem & Samy S. Abu-Naser - 2021 - International Journal of Engineering and Information Systems (IJEAIS) 5 (12):60-67.
    Papaya is a tropical fruit with a green cover, yellow pulp, and a taste between mango and cantaloupe, having commercial importance because of its high nutritive and medicinal value. The process of sorting papaya fruit based on maturely is one of the processes that greatly determine the mature of papaya fruit that will be sold to consumers. The manual grading of papaya fruit based on human visual perception is time-consuming and destructive. The objective of this paper is to the status (...)
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  19. Cantaloupe Classifications using Deep Learning.Basel El-Habil & Samy S. Abu-Naser - 2021 - International Journal of Academic Engineering Research (IJAER) 5 (12):7-17.
    Abstract cantaloupe and honeydew melons are part of the muskmelon family, which originated in the Middle East. When picking either cantaloupe or honeydew melons to eat, you should choose a firm fruit that is heavy for its size, with no obvious signs of bruising. They can be stored at room temperature until you cut them, after which they should be kept in the refrigerator in an airtight container for up to five days. You should always wash and scrub the rind (...)
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  20. Classifications of Pineapple using Deep Learning.Amjad H. Alfarra, Lamis F. Samhan, Yasmin E. Aslem, Marah M. Almasawabe & Samy S. Abu-Naser - 2021 - International Journal of Academic Information Systems Research (IJAISR) 5 (12):37-41.
    A pineapple is a tropical plant with eatable leafy foods most monetarily critical plant in the family Bromeliaceous. The pineapple is native to South America, where it has been developed for a long time. The acquaintance of the pineapple with Europe in the seventeenth century made it a critical social symbol of extravagance. Since the 1820s, pineapple has been industrially filled in nurseries and numerous tropical manors. Further, it is the third most significant tropical natural product in world creation. In (...)
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  21. Calorie Estimation of Food and Beverages using Deep Learning.R. Senthilkumar - 2025 - Journal of Science Technology and Research (JSTAR) 6 (1):1-19.
    This project aims to provide an automated system for accurately estimating the calorie content of food and beverages using advanced deep learning algorithms. With the increasing demand for health-conscious individuals, there is a need for a reliable, efficient, and easy-to-use tool that can help users make informed dietary choices. The project utilizes image processing techniques and deep learning models, such as Convolutional Neural Networks (CNN), to analyze food images and predict the corresponding calorie content. The system works by first (...)
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  22. Medicinal Herbs Identification.A. Jameer Basha - 2025 - Journal of Science Technology and Research (JSTAR) 6 (1):1-20.
    This project aims to develop an intelligent system that can accurately identify and classify medicinal herbs using advanced machine learning techniques and image processing. Medicinal herbs have been a cornerstone of traditional medicine for centuries, and the ability to identify them with precision can play a significant role in modern healthcare, research, and conservation efforts. This system utilizes deep learning models to analyze images of plants and herbs, enabling the identification of species based on their physical features such as (...)
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  23.  62
    AI-Based Tool for Preliminary Diagnosis of Dermatological Manifestations.Veda Reddy T. - 2024 - International Journal of Engineering Innovations and Management Strategies 1 (2):1-12.
    Dermatological conditions affect a significant portion of the global population, with delayed diagnoses often leading to worsening conditions. This project introduces an AI-based web application that uses deep learning algorithms and artificial neural networks to analyse skin images and provide rapid preliminary diagnoses. The system can identify various dermatological conditions, assess severity, and offer accuracy metrics, thereby facilitating early detection and improving healthcare outcomes. This tool addresses the growing gap between patients and dermatological care, especially in areas with limited specialist (...)
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  24.  23
    Real Time Object Detection for Autonomous Driving.Manasa Madireddy Sai - 2024 - International Journal of Engineering Innovations and Management Strategies 1 (8):1-15.
    One key aspect in the design of autonomous vehicles is the implementation of real-time object detection which includes identifying and classifying obstacles present in the environment of the vehicle . The system will also be able to capture live or recorded videos and accurately identify and classify the objects within the video streams in very active situations requiring low turnaround times so that the vehicle is able to make the necessary safe driving critical choices . more recent state of the (...)
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  25. Challenges of AI for Promoting Sikhism in the 21st Century (Guest Editorial).Devinder Pal Singh - 2023 - The Sikh Review, Kolkata, WB, India 71 (09):6-8.
    Artificial Intelligence (AI) is a technology that enables machines or computer systems to perform tasks that usually require human intelligence. AI systems can understand and interpret information, make decisions, and solve problems based on patterns and data. They can also improve their performance over time by learning from their experiences. AI is used in various applications, such as enhancing knowledge and understanding, helping as voice assistants, aiding in image recognition, facilitating self-driving cars, and helping diagnose diseases. The appropriate (...)
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  26. Classification of Real and Fake Human Faces Using Deep Learning.Fatima Maher Salman & Samy S. Abu-Naser - 2022 - International Journal of Academic Engineering Research (IJAER) 6 (3):1-14.
    Artificial intelligence (AI), deep learning, machine learning and neural networks represent extremely exciting and powerful machine learning-based techniques used to solve many real-world problems. Artificial intelligence is the branch of computer sciences that emphasizes the development of intelligent machines, thinking and working like humans. For example, recognition, problem-solving, learning, visual perception, decision-making and planning. Deep learning is a subset of machine learning in artificial intelligence that has networks capable of learning unsupervised from data that is unstructured or unlabeled. Deep (...)
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  27.  66
    Face: An Insufficient Technology of the Subject.Srajana Kaikini - 2024 - Sambhāṣaṇ 4 (3):19-33.
    In this paper, I explore the philosophical apprehension of the face through art history in order to signal a moment of rupture in the contemporary times of the face and its signifying relationship to the subject. Drawing from Francis Galton’s nineteenth century photographic experiments on analytical portraiture, one sees how the face when conceived as an atlas, functions very differently for the subject and its recognition than when understood as a mere image. With the advent of futuristic technology (...)
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  28. Perception in the mirror: the influence of self-beliefs.Antonella Tramacere & Angelica Kaufmann - 2025 - Phenomenology and the Cognitive Sciences 1.
    Mirrors are more than reflective surfaces; they are portals to self-perception influenced by a tapestry of developmental, psychological, and cultural factors. In this paper, we explore the interplay between these factors by investigating the effect of beliefs on mirror images and clarifying how negative self-perception develops. We analyse the phenomenon of mirror self-recognition and the development of beliefs about oneself, attempting to clarify how emotionally charged beliefs could influence our experience with the mirror. Our proposal offers insights into body (...)
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  29.  51
    Automated Plant Disease Detection through Deep Learning for Enhanced Agricultural Productivity.M. Sheik Dawood - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):640-650.
    he health of plants plays a crucial role in ensuring agricultural productivity and food security. Early detection of plant diseases can significantly reduce crop losses, leading to improved yields. This paper presents a novel approach for plant disease recognition using deep learning techniques. The proposed system automates the process of disease detection by analyzing leaf images, which are widely recognized as reliable indicators of plant health. By leveraging convolutional neural networks (CNNs), the model identifies various plant diseases with high (...)
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  30.  47
    Agricultural Innovation: Automated Detection of Plant Diseases through Deep Learning.S. Yoheswari - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):630-640.
    The health of plants plays a crucial role in ensuring agricultural productivity and food security. Early detection of plant diseases can significantly reduce crop losses, leading to improved yields. This paper presents a novel approach for plant disease recognition using deep learning techniques. The proposed system automates the process of disease detection by analyzing leaf images, which are widely recognized as reliable indicators of plant health. By leveraging convolutional neural networks (CNNs), the model identifies various plant diseases with high (...)
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  31.  56
    Deep Neural Networks for Real-Time Plant Disease Diagnosis and Productivity Optimization.K. Usharani - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):645-652.
    The health of plants plays a crucial role in ensuring agricultural productivity and food security. Early detection of plant diseases can significantly reduce crop losses, leading to improved yields. This paper presents a novel approach for plant disease recognition using deep learning techniques. The proposed system automates the process of disease detection by analyzing leaf images, which are widely recognized as reliable indicators of plant health. By leveraging convolutional neural networks (CNNs), the model identifies various plant diseases with high (...)
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  32. Classification of Sign-Language Using MobileNet - Deep Learning.Tanseem N. Abu-Jamie & Samy S. Abu-Naser - 2022 - International Journal of Academic Information Systems Research (IJAISR) 6 (7):29-40.
    Abstract: Sign language recognition is one of the most rapidly expanding fields of study today. Many new technologies have been developed in recent years in the fields of artificial intelligence the sign language-based communication is valuable to not only deaf and dumb community, but also beneficial for individuals suffering from Autism, downs Syndrome, Apraxia of Speech for correspondence. The biggest problem faced by people with hearing disabilities is the people's lack of understanding of their requirements. In this paper we (...)
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  33. Classification of Sign-language Using VGG16.Tanseem N. Abu-Jamie & Samy S. Abu-Naser - 2022 - International Journal of Academic Engineering Research (IJAER) 6 (6):36-46.
    Sign Language Recognition (SLR) aims to translate sign language into text or speech in order to improve communication between deaf-mute people and the general public. This task has a large social impact, but it is still difficult due to the complexity and wide range of hand actions. We present a novel 3D convolutional neural network (CNN) that extracts discriminative spatial-temporal features from photo datasets. This article is about classification of sign languages are not universal and are usually not mutually (...)
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  34. Color Constancy.David H. Foster - 2011 - Vision Research 51:674-700.
    A quarter of a century ago, the first systematic behavioral experiments were performed to clarify the nature of color constancy—the effect whereby the perceived color of a surface remains constant despite changes in the spectrum of the illumination. At about the same time, new models of color constancy appeared, along with physiological data on cortical mechanisms and photographic colorimetric measurements of natural scenes. Since then, as this review shows, there have been many advances. The theoretical requirements for constancy have been (...)
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  35. Diagnosis of Pneumonia Using Deep Learning.Alaa M. A. Barhoom & Samy S. Abu-Naser - 2022 - International Journal of Academic Engineering Research (IJAER) 6 (2):48-68.
    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 (...)
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  36. Towards a syncretistic theory of depiction.Alberto Voltolini - 2012 - In C. Calabi & K. Mulligan (eds.), The Crooked Oar, The Moon’s Size and The Necker Cube. Essays on the Illusions of Outer and Inner Perception.
    In this paper I argue for a syncretistic theory of depiction, which combines the merits of the main paradigms which have hitherto faced themselves on this issue, namely the perceptualist and semioticist approaches. The syncretistic theory indeed takes from the former its stress on experiential factors and from the latter its stress on conventional factors. But the theory is even more syncretistic than this, for the way it accounts for the experiential factor vindicates several claims defended by different perceptualist theories. (...)
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  37. The SignalGlyph Project and Prime Numbers.Michael Joseph Winkler - 2021 - In Michael Winkler (ed.), The Image of Language. Northeast, NY: Artists Books Editions. pp. 158-163.
    An excerpt of "The SignalGlyph Project and Prime Numbers" (a chapter of the book THE IMAGE OF LANGUAGE) that attempts to illustrate how dimensional limitations of mathematical language have obscured recognition of the system of patterning in the distribution of prime numbers.
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  38. Detection of Brain Tumor Using Deep Learning.Hamza Rafiq Almadhoun & Samy S. Abu-Naser - 2022 - International Journal of Academic Engineering Research (IJAER) 6 (3):29-47.
    Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines or software that work and reacts like humans, some of the computer activities with artificial intelligence are designed to 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 used as (...)
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  39. Anti-pornography.Bence Nanay - 2012 - In Hans Maes & Jerrold Levinson (eds.), Art and Pornography: Philosophical Essays. Oxford, GB: Oxford University Press UK.
    One striking feature of pornographic images is that they emphasize what is depicted and underplay the way it is depicted: the experience of pornography rarely involves awareness of the picture’s composition or of visual rhyme. There are various ways of making this distinction between what is depicted in a picture and the way the depicted object is depicted in it. Following Richard Wollheim, I call these two aspects, the ‘what’ and ‘how’ of pictorial representation ‘recognitional’ and ‘configurational’, respectively. Some pictures (...)
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  40. Benedict, Thomas, or Augustine?: The Character of MacIntyre’s Narrative.Christopher J. Thompson - 1995 - The Thomist 59 (3):379-407.
    In lieu of an abstract, here is a brief excerpt of the content:BENEDICT, THOMAS, OR AUGUSTINE? THE CHARACTER OF MACINTYRE'S NARRATIVE CHRISTOPHER J. THOMPSON University of St. Thomas St. Paul, Minnesota Introduction I N HIS Three Rival Versions of Moral Enquiry1 Alasdair Macintyre continues (with certain modifications) in a similar trajectory established in two earlier works, After Virtue and Whose Justice? Which Rationality? Against postEnlightenment portraits of moral reasoning, he consistently defends a conception of practical rationality which entails the (...) of tradition, authority, and narrative as constitutive components of any rationally determined moral enquiry. Despite the consistent appeal to tradition, there is a significant development within Macintyre's reflections regarding the pre-eminent resources we are to draw upon. At the end of After Virtue we are asked to await a "doubtless very different" St. Benedict. In Whose Justice? Which Rationality? the Thomistic tradition emerges as the superior form of moral enquiry. While Thomism maintains a pre-eminence in Three Rival Versions of Moral Enquiry, I suggest that there is an increasingly Augustinian element emerging within his analysis and that this dimension underlies Macintyre's efforts in ways not previously specified. There is a warrant, then, for seeing within Augustine's efforts the paradigmatic "narrative form of moral enquiry." 1Alasdair Macintyre, Three Rival Versions of Moral Enquiry (Notre Dame: University of Notre Dame Press, 1990). Hereafter RV. 379 380 CHRISTOPHER J. THOMPSON That Augustine figures in Macintyre's reception of the Thomistic tradition is not necessarily striking, for part of what fuels Macintyre's increasing enthusiasm for St. Thomas is precisely the latter's capacity to draw upon the best of the Augustinian tradition of enquiry. Beyond what Macintyre himself has overtly recognized as Augustine's contribution to the thought of St. Thomas, however, I suggest that elements of Augustine's thought directly influence much of Macintyre 's own attempts at restoring a kind of tradition-guided enquiry. This Augustinian strain, moreover, not only serves to highlight features of Macintyre's analysis of Thomism, but also brings to light certain theological presuppositions essential to the kind of moral enquiry Macintyre hopes to retrieve. The character of Macintyre's narrative, then, leads us to St. Augustine. In After Virtue it is largely the Aristotelian tradition of enquiry which he defends against rival post-Enlightenment theories of morality. He argues that the analytic, linguistic, and phenomenological tools brought to bear upon the task of formulating a coherent conception of the moral life and moral enquiry have failed miserably, principally for two reasons. The first is that such contemporary efforts have neglected to realize that moral enquiry is embedded in a broader context of social practices, practices which are inevitably historically conditioned; thus a failure to recognize the historically situated character of moral enquiry distorts that account. The second reason is related to the first in that failure to acknowledge the historical character of such enquiry has resulted in a failure to recognize that much of our contemporary terms and tools of moral analysis are remnants from previous contexts of enquiry which are no longer mutually agreed upon nor recognized as relevant.' What has been lost, among other things, is the teleological metaphysics which serves as the context for nearly two millennia in the West. Uproot the stock of ethical norms from this tradition 2 For this notion of "moral remnants" surviving beyond the historical contexts in which they emerge, see Alasdair Macintyre, "Ought," Chapter 15 in Against the Self Images ofthe Age (New York: Schocken Books, 1971), 136-156, though in a different context and with very different effect. THE CHARACTER OF MACINTYRE 'S NARRATIVE 381 of enquiry and what remains is simply an amalgam of unrelated moral demands-some divinely sanctioned, some rooted in the passions, some the outburst of emotive whimsy-yet all lacking any coherent exposition.' The only hope is to retrieve something of the Aristotelian tradition of moral enquiry in which the notion of the virtues and the virtuous human person entails a conception of the moral life as bearing a narrative unity, a teleologically ordered whole in which one's actions bear an intrinsic unity and significance to the extent they complement one's telos. The narrative unity ascribed to the living of the good life is... (shrink)
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  41. Organization of the corporate style of the medical institution: functions and components.Oleksandr P. Krupskyi & Yuliya Stasiuk - 2023 - Time Description of Economic Reforms 1:87-95.
    Today's realities require medical institutions to take more careful account of intangible factors that make up an irreplaceable component of cultural characteristics. Changes in the socio-economic conditions of economic activity have led to increased attention of the management of medical institutions to the need to form a corporate style that will provide additional competitive advantages. The purpose of the study is to identify the functions and elements of the corporate style of a medical institution and its subdivisions, to find out (...)
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  42. Non-conceptual Content or Singular Thought?de Sá Pereira Roberto Horácio - 2014 - Kant Studies Online:210-239.
    This paper is a new non-descriptivist defense of non- conceptualism, based on a new interpretation of Kant’s metaphysics of concepts. We advance the following claim: What distinguishes non-conceptual from conceptual singular representations is the way partial representations of the object’s features are integrated into the whole representation of the object: while at the non-conceptual level this integration takes the form of images of the object’s features that are stored and projected, at the conceptual level this integration takes the form of (...)
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  43. Non-conceptual content or Singular Concept?Roberto De Sá Pereira - 2014 - Kaant Studien Online 1:210-239.
    This paper is a new non-descriptivist defense of nonconceptualism based on a new interpretation of Kant’s metaphysics of concepts. We advance the following claim: What distinguishes non-conceptual from conceptual singular representations is the way partial representations of the object’s features are integrated into the whole representation of the object, while at the non-conceptual level, this integration takes the form of images of the object’s features that are stored and projected, at the conceptual level this integration takes the form of the (...)
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  44. Is there an inherent secularising tendency in Christianity (Gauchet)? Yes, but beware (Voegelin and Taylor).Patrick Giddy - 2022 - Studia Historicae Ecclesiasticae:1-15.
    The secularisation idea is that modernity leaves religion behind. But for Gauchet, modernity just is religion transformed, without remainder. The Axial Age discovery of the inner world of the psyche and its symbolic expressions, was at the same time a growth in understanding of God as creator, transcendent and incommensurable with all of creation. Henceforth, religion would be in the key of personal struggle and symbolic transformation, putting aside heteronomy. Taylor adds a caveat: the self-image of the self-sufficient, autonomous (...)
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  45. Languages of “National Socialism”: From Reactionary Apocalypse to Social Media Clickbait.George Leaman - 2023 - In Tullia Catalan (ed.), Languages of National Socialism: Sources, Perspectives, Methods. EUT Edizioni Università di Trieste. pp. 11-26.
    In this article I examine language used to define, express, and exploit “National Socialism”. These different uses vary in time and purpose, and need to be understood in context. The Nazis did not create much of the language most closely associated with National Socialism, but their use of certain language, symbols, and images has been so firmly established that we immediately recognize them even when partially spoken or indirectly referenced. This easy recognition, combined with the emotional charge of anger (...)
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  46. Nietzschean Wholeness.Gabriel Zamosc - 2018 - In Paul Katsafanas (ed.), Routledge Philosophical Minds: The Nietzschean Mind. Routledge. pp. 169-185.
    In this paper I investigate affinities between Nietzsche’s early philosophy and some aspects of Kant’s moral theory. In so doing, I develop further my reading of Nietzschean wholeness as an ideal that consists in the achievement of cultural—not psychic—integration by pursuing the ennoblement of humanity in oneself and in all. This cultural achievement is equivalent to the procreation of the genius or the perfection of nature. For Nietzsche, the process by means of which we come to realize the genius in (...)
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  47. Advances and Applications of DSmT for Information Fusion. Collected Works, Volume 5.Florentin Smarandache - 2023 - Edited by Smarandache Florentin, Dezert Jean & Tchamova Albena.
    This fifth volume on Advances and Applications of DSmT for Information Fusion collects theoretical and applied contributions of researchers working in different fields of applications and in mathematics, and is available in open-access. The collected contributions of this volume have either been published or presented after disseminating the fourth volume in 2015 in international conferences, seminars, workshops and journals, or they are new. The contributions of each part of this volume are chronologically ordered. First Part of this book presents some (...)
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  48. Causality in the McDowellian World.Alan Charles McKay - 2014 - Dissertation, Queen's University Belfast
    The thesis explores and suggests a solution to a problem that I identify in John McDowell’s and Lynne Rudder Baker’s approaches to mental and intention-dependent (ID) causation in the physical world. I begin (chapter 1) with a brief discussion of McDowell’s non-reductive and anti-scientistic account of mind and world, which I believe offers, through its vision of the unbounded conceptual and the world as within the space of reasons, to liberate and renew philosophy. However, I find an inconsistency in McDowell’s (...)
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  49. Human Symmetry Uncertainty Detected by a Self-Organizing Neural Network Map.Birgitta Dresp-Langley - 2021 - Symmetry 13:299.
    Symmetry in biological and physical systems is a product of self-organization driven by evolutionary processes, or mechanical systems under constraints. Symmetry-based feature extraction or representation by neural networks may unravel the most informative contents in large image databases. Despite significant achievements of artificial intelligence in recognition and classification of regular patterns, the problem of uncertainty remains a major challenge in ambiguous data. In this study, we present an artificial neural network that detects symmetry uncertainty states in human observers. (...)
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  50. A Revolutionary New Metaphysics, Based on Consciousness, and a Call to All Philosophers.Lorna Green - manuscript
    June 2022 A Revolutionary New Metaphysics, Based on Consciousness, and a Call to All Philosophers We are in a unique moment of our history unlike any previous moment ever. Virtually all human economies are based on the destruction of the Earth, and we are now at a place in our history where we can foresee if we continue on as we are, our own extinction. As I write, the planet is in deep trouble, heat, fires, great storms, and record flooding, (...)
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