Abstract…observations of skylfull pylotts is the onlye waye to bring it in rule; for it passeth the reach of naturall philosophy. – Michael Gabriel, 1576 (Collinson, 1867, p. 30)Abstract The tension between empirical data and formal theory pervades the entire history of geomagnetism, from the Middle Ages up to the present day. This paper explores its early-modern history (1500–1800), using a hybrid approach: it applies a methodological framework used in modern geophysics to interpret early-modern developments, exploring to what extent formal (...) conjectures shaped observation and vice versa. A range of pertinent case studies supports classification of this entire period as proto-scientific, characterised by the initial formation of theories being largely disconnected from observational constraints, and their subsequent evolution being advanced primarily by their empirical falsification, and not necessarily associated with the introduction of an alternative. The few exceptional instances of purely data-driven discovery were essentially due to an improved signal-to-noise ratio. (shrink)

This book is an important contribution to the philosophy of art that bridges the disciplines of philosophy and art. It engages with a long-standing debate about what it is that bestows the designation 'art' on an artwork. Tiffany Sutton shows how the history of art should influence the classification of visual art. She considers the various theories that have been put forward to define the nature of the artwork and then offers her own set of classificatory norms. Amongst the (...) critical questions that are addressed in the process are: how important is patronage in the contemporary visual arts, and what lends conceptual art its specific aura? (shrink)

The notion of naivety is a form of classification and explanation of the social world. By applying Erving Goffman’s expression games model, it is observed that the notion of naivety corresponds to a situation in which an observer assumes that the observed subject does not accommodate his behavior to the presence of the observer, in the assumption that the latter might take advantage from what he learns from it. This article explores this model’s explanatory power in reference to the (...) diverse forms in which the notion of naivety is used in contexts where transinteractive structures of the art world have to be taken into account. La noción de ingenuidad es una forma cotidiana de clasificación y explicación del mundo social. Usando el modelo de juegos de expresión de Erving Goffman, se observa que ella corresponde a la situación en que un actor asume que otro no modifica su comportamiento teniendo en cuenta lo que el primero aprende de él para alcanzar sus propios objetivos. En este artículo se explora la utilidad de este modelo para explicar el uso de la noción de ingenuidad en referencia a estructuras transinteractivas de mundos del arte. (shrink)

Classification of functions of money is given in article, the main functions and derivative of them are allocated. The author allocates the following major functions of money: stimulating and goal-implementing. It is shown that the main functions of money are: stimulating, goal-implementing, regulatory, informational. In article the dialectics of goal-implementing and stimulating functions of money is considered. The conclusion that it is inexpedient to reduce functions of money only to especially economic aspects is drawn. The author considers that than (...) more functions carry out money, that more they are the tool providing social and economic functioning and development of the state, as well as the people living in this state. (shrink)

A review is undertaken of the contributions of 38 classical authors, from Pythagoras in the 6th century BCE to Isidore in the 6th century CE, to the classification of the sciences. Such classifications include some that are more theoretical in function, some that are more practical. The emergence of the quadrivium and trivium is charted; the Greek concept of “enkýklios paideía” and the Latin term “artēs liberales” are defined; and the ways in which the form, content, and function of (...) science classifications change during this period are assessed. (shrink)

The gradual appearance and relative stabilisation of the names of different kinds of martial activities in different cultures and contexts has led to confusion and to an unhelpful and unjustifiable elision of meanings, which merges different modes of combat and other martial activities. To gain a clearer perspective on this area, we must enquire into the criteria according to which the various kinds of martial activities are classified. Our assessment of the literature suggests that there is no satisfactory and well-justified (...) overall cross-cultural account of the classification of martial activities. This paper provides a revisionary classification and offers an explanation and a justification of the five main categories identified: close combat, warrior arts, martial paths, martial arts and martial sports; as well as some minor ones, such as martial training, martial therapy, martial display, martial games and martial dance. (shrink)

WHAT is art? Classificatory disputes.. Classificatory disputes about what is art Art historians and philosophers of art have long had classificatory disputes about art regarding whether a particular cultural form or piece of work should be classified as art. Disputes about what does and does not count as art continue to occur today -/- Defining art is difficult if not impossible. Aestheticians and art philosophers often engage in disputes about how to define art. By its original and broadest definition, art (...) (from the Latin ars, meaning “skill” or “craft”) is the product or process of the effective application of a body of knowledge, most often using a set of skills; this meaning is preserved in such phrases as “liberal arts” and “martial arts”. However, in the modern use of the word, which rose to prominence after 1750, “art” is commonly understood to be skill used to produce an aesthetic result (Hatcher, 1999). (shrink)

Computer vision research involving street and road detection methods usually focuses on driving assistance and autonomous vehicle systems. In this context, street segmentation occurs in real-time, based on images centered on the street. This work, on the other hand, uses street segmentation for urban planning research to classify pavement types of a city or region, which is particularly important for developing countries. For this application, it is needed a dataset with images from various locations for each street. These images are (...) not necessarily centered on the street and include challenges that are not common in street segmentation datasets, such as mixed pavement types and the presence of faults and holes on the street. We implemented a multi-class version of a state-of-the-art segmentation algorithm and adapted it to perform street pavement classification, handling navigation along streets and angle variation to increase the accuracy of the classification. A data augmentation approach is also proposed to use preliminary results from the test instances as new ground truth and increase the amount of training data. A dataset with more than 300,000 images from 773 streets from a Brazilian city was built. Our approach achieved a precision of 0.93, showing the feasibility of the proposed application. (shrink)

The author presents a varied menu of ideas and experiences in many areas - in research, in diagnosis, and in psychotherapy, each using art media with patients of all ages. She integrates art, phenomenology and gestalt psychology, describing specific techniques and findings. Part I of the book lays out the theoretical foundations and the techniques; Part II addresses the formal components used in art therapy - line, shape and colour in their interrelated dynamics and discusses other aspects and modes of (...) symbolic expression found in clients' work. Part III looks at symbolic expression through the scribble, offering a system of classification, diagnostic possibilities and case studies of work with eating disorders. Part IV focuses on art expression for art therapy diagnostics, including a method for qualitative diagnostics, and a first full diagnostic battery for adolescents. Part V is devoted to Holocaust children's art expressions, highlighting the power of art expression in children under ultimate stress, the intensity of their inner experience, and its visualization in the structure of the pictures. The book is for art therapists and advanced students. It can be used as a textbook on phenomenological art therapy; for therapeutically-oriented art teachers, educators and social workers; and for practicing psychotherapists, to see that art is a source of expression demonstrating how a person is. (shrink)

The cluster account, one of the best attempts at art classification, is guilty of ahistoricism. While cluster theorists may be happy to limit themselves to accounting for what art is now rather than how the term was understood in the past, they cannot ignore the fact that people seem to apply different clusters when judging art from different times. This paper shows that while allowing for this kind of historical relativity may be necessary to save the account, doing so (...) could result in incorporating an essentially institutional component or making the theory extremely complex and virtually impossible to use. (shrink)

: This paper discusses the American scientist and philosopher Charles S. Peirce's (1839–1914) classification of the sciences from the contemporary perspective of interdisciplinary studies. Three theses are defended: (1) Studies on interdisciplinarity pertain to the intermediate class of Peirce's classification of all science, the sciences of review (retrospective science), ranking below the sciences of discovery (heuretic sciences) and above practical science (the arts). (2) Scientific research methods adopted by interdisciplinary inquiries are cross-categorial. Making them converge to an increasing (...) extent with the sciences of discovery, especially the methodeutic of normative logic, is one of the future challenges for studies on interdisciplinarity. (3) The overall structure of Peirce's classification, were it to be applied in today's situation, would not, in any major respect, be radically different from what it was designed to reflect a hundred years ago, in spite of the virtually exponential creation and production of new domains and the massive increase in investment in research and scientific publication. Accordingly, charges that the sciences of discovery are becoming ever more fragmented are not new. (shrink)

It is the aim of this work to examine the pivotal role of Johann Joachim Winckelmann (1717-1768) as a judge of classical sculpture and as a major contributor to German art criticism. John Harry North seeks to identify the key features of his treatment of classical beauty, particularly in his famous descriptions of large-scale classical sculpture. Five case studies are offered to demonstrate the academic classicism that formed the core of his philosophy of art. North aims to establish Winckelmann's place (...) in the development of the German language. His prose contributed to a literary style that was suitable for the expression of an emotional response to visual experiences. His use of rhetoric in the assessment of classical art, however, make his judgements propagandist rather than analytical. The published works of Winckelmann, his draft essays and his collected private correspondence are advanced as criteria in the evaluation of his impact on the development of German classicism that culminated in the Weimar group of poets and writers. His Grecophile enthusiasm, however, led him to introduce stylistic categories in the development of classical marble sculpture that are no longer regarded as truly reflecting the evolution of Greco-Roman art. Thus his historicity and his classification of styles remain in doubt. Winckelmann proposed that the training of modern artists should concentrate on the observation and imitation of classical models instead of looking to nature as the source of inspiration. This plan succeeded to some extent in the generation that followed his untimely death. Throughout the succeeding century, artists and their sponsors did favour classical models and developed stylistic classicism in European freestanding sculpture, in painting and in architecture. (shrink)

Recent advances in paleoarchaeology show why nothing in the Tate Modern, where a conference on "Agency & Automatism" took place, challenges the roots of 'the idea of the fine arts' (Kristeller) as high levels of craft, aesthetics, mimesis and mental expression, as exemplifying cultures: it is by them that we define our species. This paper identifies and deals with resistances, early and late, to photographic fine art as based on concerns about automatism reducing human agency--that is, mental expression--then offers the (...) fuller account of agency lacking in such discussions. But fine art is not the only value classification we use. (shrink)

Processing data streams arriving at high speed requires the development of models that can provide fast and accurate predictions. Although deep neural networks are the state-of-the-art for many machine learning tasks, their performance in real-time data streaming scenarios is a research area that has not yet been fully addressed. Nevertheless, much effort has been put into the adaption of complex deep learning (DL) models to streaming tasks by reducing the processing time. The design of the asynchronous dual-pipeline DL framework allows (...) making predictions of incoming instances and updating the model simultaneously, using two separate layers. The aim of this work is to assess the performance of different types of DL architectures for data streaming classification using this framework. We evaluate models such as multi-layer perceptrons, recurrent, convolutional and temporal convolutional neural networks over several time series datasets that are simulated as streams at different speeds. In addition, we evaluate how the different architectures react to concept drifts typically found in evolving data streams. The obtained results indicate that convolutional architectures achieve a higher performance in terms of accuracy and efficiency, but are also the most sensitive to concept drifts. (shrink)

The work Irene, overo della bellezza, written by the Renaissance philosopher and poet Michele Monaldi from Dubrovnik, is considered to be the first aesthetic treatise that originates from Croatia. In that dialogue, Monaldi devoted a whole chapter to music and presented his version of the general theory of it. Monaldi’s thoughts on beauty and music originate primarily from the philosophy of Plato and Aristotle. He was mainly theoretically oriented, thus his ideas on music are primarily based on Plato’s philosophical thoughts, (...) and only partially on Aristotle’s. In the greater part of this chapter, Monaldi does not consider the changes that occurred in the field of music in the second half of the 16th century and on the turn of the 17th century. Thus, his ideas on music and art, in general, can be interpreted almost as a purely theoretical model, without any indications of its possible use in practice. Monaldi’s Platonic orientation is also evident in the form of his work, which is the dialogue form modelled after similar dialogues written by Plato. In some aspects of his discussion on music, though not numerous, Monaldi still relies on Aristotle, especially when it comes to functions of music. In his chapter devoted to music Monaldi rather thoroughly discusses several aspects of music: the divisions of music into different branches, the intervals, the meaning in music, the functions of music, the modes and the instruments, the relationship between music and politics, the relationship between music and other "objects of hearing", as well as criteria necessary to achieve "proper music". Given the fact that Monaldi treated quite a large number of music issues, his work Irene, overo della bellezza is considered to be the most valuable contribution to the reflection on music from Croatia in the Renaissance period. This paper presents Monaldi’s understanding of music, based on the example of his classifications of it into different categories. (shrink)

This article examines the potential of art and archaeological remains for the study of women's social history in early Christianity. Part I considers important sources for art and archaeological data; the received method and classification criteria for the discipline of early Christian art and archaeology; and the types of problems both earlier and contemporary approaches to the material remains present for scholars. Part II proposes an approach to understanding early Christian art and material culture as part of a larger (...) ongoing social discourse in the ancient Mediterranean world where cultural representations take part in the lively social and aural culture of life lived in close proximity to others. This approach places art and archaeological evidence in the foreground and documentary sources in the background as corroborative evidence. (shrink)

During the colonial contact and especially after the 2nd World War in the Solomon Islands local communities various traditions of woodcarving and other handicrafts have transformed from religious and ritual objects to commercial 'tourist arts' that have become economically important for local communities. In the course of culture change Western concepts such as art and culture have been adopted to local languages and they have replaced local terminologies and classifications in various ways. These processes may be described as 'conceptual colonialism'. (...) The meaning shifts and emerging new conceptual categories produce homogenising effects that transform the local ways of cultural thinking towards the direction of hegemonic Western interpretations of socio-cultural phenomena. The concept of art should be treated as one major element in this linguistic power play between the local and the global. (shrink)

With the development of computer hardware and software, digital art is a new discipline. It uses computers and digital technology as tools to perform artistic expression. It can be expanded to various binary numerical codes with computers as the center and can also be refined to various categories of creation with computers. The research scope is set in the field of digital art, and all kinds of accidental factors of digital art creation based on the machine learning algorithm are mined (...) and analyzed for feature correlation. Based on the hidden association relationship of massive data, the study focuses on the implicit association mining of digital art features of data for the recommendation algorithm. The classification and continuous data feature attributes are introduced and discretized, and the binary representation of data features is extended to ensure the diversity of data feature attributes. In order to mine some correlation features in data, a heuristic feature mining method based on minimum support was studied to discover the frequency of correlation features and construct the optimal feature subset. Based on the frequent items of data features, this study observes the heuristic algorithm of digital art feature association mining based on minimum confidence and carries out feature matching based on digital art feature association mining under different situation modes. The validity of the proposed algorithm is verified by using the experimental data of health and medical situations in the machine learning library. (shrink)

Alain Badiou embarks on a close reading of Hegel’s Aesthetics to consider how his own recently-developed concept of the “index”—designating the crucial point of mediation between finite works and the absolute (or the means by which “works of art obtain their seal of absoluteness”)—might figure therein, as well as to explore what Hegel would have made of cinema, had he lived to experience it. After first examining the various ways that this “index of absoluteness” functions in the Hegelian conception of (...) art—both according to its canonical forms (sculpture, architecture, painting, music, and poetry including theatre) and its historical classifications (classical, symbolic and romantic)—Badiou proceeds to investigate whether Hegel’s aesthetic system could and should have foreseen the eventual birth of cinema, together with its general characteristics; and whether this new development would ultimately refute or confirm his famous thesis on the end of art. (shrink)

This book is an essay on the epistemology of classifications. Its main purpose is not to provide an exposition of an actual mathematical theory of classifications, that is, a general theory which would be available to any kind of them: hierarchical or non-hierarchical, ordinary or fuzzy, overlapping or non-overlapping, finite or infinite, and so on, establishing a basis for all possible divisions of the real world. For the moment, such a theory remains nothing but a dream. Instead, the authors essentially (...) put forward a number of key questions. Their aim is rather to reveal the “state of art” of this dynamic field and the philosophy one may eventually adopt to go further. To this end they present some advances made in the course of the last century, discuss a few tricky problems that remain to be solved, and show the avenues open to those who no longer wish to stay on the wrong track. Researchers and professionals interested in the epistemology and philosophy of science, library science, logic and set theory, order theory or cluster analysis will find this book a comprehensive, original and progressive introduction to the main questions in this field. (shrink)

Emotion-based sentimental analysis has recently received a lot of interest, with an emphasis on automated identification of user behavior, such as emotional expressions, based on online social media texts. However, the majority of the prior attempts are based on traditional procedures that are insufficient to provide promising outcomes. In this study, we categorize emotional sentiments by recognizing them in the text. For that purpose, we present a deep learning model, bidirectional long-term short-term memory, for emotion recognition that takes into account (...) five main emotions. We use our experimental assessments on the emotion dataset to accomplish the emotion categorization job. The datasets were evaluated and the findings revealed that, when compared to state-of-the-art methodologies, the proposed model can successfully categorize user emotions into several classifications. Finally, we assess the efficacy of our strategy using statistical analysis. This research’s findings help firms to apply best practices in the selection, management, and optimization of policies, services, and product information. (shrink)

This chapter contains sections titled: Are Videogames Art? A Cluster Theory of Art The Art in Videogames New Art from Old Bottles.

There are excellent research papers in the field of visual studies that examine the relationship between war and images. This paper has other and additional aims. The first is to examine not so much how war is transferred from the ground to image production, but how war, as intrusion of the real, forces a general reflection on image techniques. The second is to examine whether there is an instance of art that is somehow different from the instance of the mere (...) image, which is always related to something that manifests itself in war, and which, especially on the occasion of a war, invites a broader reflection on existence, judgement and the world. The paths taken for these investigations are rooted in the idea that a (political) theory of art cannot be reduced to an internal classification of image theory, since it investigates aspects that go beyond the definition of the image itself. (shrink)

Recueil d'études qui, à partir d'une approche anthropologique et esthétique, tente de répondre à un ensemble de questions du domaine de l'art et de l'esthétique : l'art et le non-art, les mécanismes de la création, les critères de classification de l'art, l'appréciation de l'oeuvre, l'oeuvre et son auteur, etc.--[Memento].

Artificial intelligent (AI) systems that perform image classification tasks are being used to great success in many application contexts. However, many of these systems are opaque, even to experts. This lack of understanding can be problematic for ethical, legal, or practical reasons. The research field Explainable AI (XAI) has therefore developed several approaches to explain image classifiers. The hope is to bring about understanding, e.g., regarding why certain images are classified as belonging to a particular target class. Most of (...) these approaches use visual explanations. Drawing on Elgin’s work (True enough. MIT Press, Cambridge, 2017), I argue that analyzing what those explanations exemplify can help to assess their suitability for producing understanding. More specifically, I suggest to distinguish between two forms of examples according to their suitability for producing understanding. I call these forms samples and exemplars, respectively. Samples are prone to misinterpretation and thus carry the risk of leading to misunderstanding. Exemplars, by contrast, are intentionally designed or chosen to meet contextual requirements and to mitigate the risk of misinterpretation. They are thus preferable for bringing about understanding. By reviewing several XAI approaches directed at image classifiers, I show that most of them explain with samples. If my analysis is correct, it will be beneficial if such explainability methods use explanations that qualify as exemplars. (shrink)

Selected response items and constructed response items are often found in the same test. Conventional psychometric models for these two types of items typically focus on using the scores for correctness of the responses. Recent research suggests, however, that more information may be available from the CR items than just scores for correctness. In this study, we describe an approach in which a statistical topic model along with a diagnostic classification model was applied to a mixed item format formative (...) test of English and Language Arts. The DCM was used to estimate students’ mastery status of reading skills. These mastery statuses were then included in a topic model as covariates to predict students’ use of each of the latent topics in their written answers to a CR item. This approach enabled investigation of the effects of mastery status of reading skills on writing patterns. Results indicated that one of the skills, Integration of Knowledge and Ideas, helped detect and explain students’ writing patterns with respect to students’ use of individual topics. (shrink)

In recent years, many school librarians have been scrambling to build and expand their graphic novel collections to meet the large and growing demand for these materials. For the purposes of this study, the term graphic novels refers to volumes in which the content is provided through sequential art, including fiction, nonfiction, and biographical material. As the library field has not yet arrived at a set of best practices or guidelines for institutions working to classify and catalog graphic novels, this (...) study seeks to record the ways in which school librarians are handling these materials as well as issues and questions at the forefront of their minds. A survey of school librarians in the United States revealed that almost all of them collect fiction and nonfiction graphic novels, while 67% collect manga. Most respondents indicated that they are partly or solely responsible for the cataloging and classification decisions made in their media centers. For classification purposes, most have elected to create separate graphic novel collections to house their fictional graphic novels. Some include nonfiction graphic novels in this section, while others create a nonfiction graphic novel collection nearby or shelve nonfiction graphic novels with other items that deal with similar subject matter. Many school librarians express uncertainty about how best to catalog and classify longer series, adapted classics, superhero stories, and the increasing number and variety of inventive titles that defy categorization. They also struggle with inconsistent vendor records and past practices and suffer from a lack of full confidence in their knowledge of how to best classify and catalog graphic novels so that they are both searchable in the library catalog and easily accessible on the shelves. (shrink)

Nowadays, online product reviews have been at the heart of the product assessment process for a company and its customers. They give feedback to a company on improving product quality, planning, and monitoring its business schemes in order to increase sale and gain more profit. They are also helpful for customers to select the right products in less effort and time. Most companies make spam reviews of products in order to increase the products sales and gain more profit. Detecting spam (...) product reviews is a challenging issue in NLP. Numerous machine learning approaches have attempted to detect and classify the product reviews as spam or nonspam. However, in order to improve the classification accuracy, this study has introduced an ensemble machine learning model that combines predictions from multilayer perceptron, K-Nearest Neighbour, and Random Forest and predicts the outcome of the review as spam or real, based on the majority vote of the contributing models. In order to accomplish the task of spam review classification, the proposed ensemble and other benchmark boosting approaches are tested with 25 statistical features extracted from mobile application reviews of Yelp Dataset. Then, three different selection techniques are exploited to diminish the feature space and filter out the top 10 optimal features. The effectiveness of the proposed ensemble, the individual models, and other benchmark boosting approaches is again evaluated with 10 optimal features in terms of classification accuracy. Experimental outcomes illustrate that the proposed ensemble model outperformed the individual classifiers and state-of-the-art boosting approaches like Generalized Boost Regression Model, Extreme Gradient Boost, and AdaBoost Regression Model in terms of classification accuracy. (shrink)