The Intersections of Creativity, Technology, and the Mind

2020 ◽  
pp. 123-140
Author(s):  
Audri Phillips
Keyword(s):  
Artificial Intelligence ◽  
Computer Vision ◽  
Motion Capture ◽  
Human Mind ◽  
Media Technology ◽  
The Senses ◽  
Creativity Studies ◽  
The Mind ◽  
Immersive Technologies

This chapter examines the relationships between technology, the human mind, and creativity. The chapter cannot possibly cover the whole spectrum of the aforementioned; nonetheless, it covers highlights that especially apply to new immersive technologies. The nature of creativity, creativity studies, the tools, languages, and technology used to promote creativity are discussed. The part that the mind and the senses—particularly vision—play in immersive media technology, as well as robotics, artificial intelligence (AI), computer vision, and motion capture are also discussed. The immersive transmedia project Robot Prayers is offered as a case study of the application of creativity and technology working hand in hand.

scholarly journals Contribution of Cognitive Science and Artificial Intelligence in the Simulation of the Complex Human Mind

2020 ◽  
Vol 9 (2) ◽  
pp. 928-932
Keyword(s):  
Artificial Intelligence ◽  
Cognitive Science ◽  
Real Time ◽  
Human Mind ◽  
Scientific Study ◽  
Computational Procedures ◽  
The Mind ◽  
And Behavior ◽  
Interdisciplinary Theory ◽  
The Brain

The research incorporated encircles the interdisciplinary theory of cognitive science in the branch of artificial intelligence. It has always been the end goal that better understanding of the idea can be guaranteed. Besides, a portion of the real-time uses of cognitive science artificial intelligence have been taken into consideration as the establishment for more enhancements. Before going into the scopes of future, there are many complexities that occur in real-time which have been uncovered. Cognitive science is the interdisciplinary, scientific study of the brain and its procedures. It inspects the nature, the activities, and the elements of cognition. Cognitive researchers study intelligence and behavior, with an emphasis on how sensory systems speak to, process, and change data. Intellectual capacities of concern to cognitive researchers incorporate recognition, language, memory, alertness, thinking, and feeling; to comprehend these resources, cognitive researchers acquire from fields, for example, psychology, artificial intelligence, philosophy, neuroscience, semantics, and anthropology. The analytic study of cognitive science ranges numerous degrees of association, from learning and choice to logic and planning; from neural hardware to modular mind organization. The crucial idea of cognitive science is that "thinking can best be understood in terms of representational structures in the mind and computational procedures that operate on those structures."

ARTIFICIAL INTELLIGENCE IN THE CONTEXT OF CULTUROLOGICAL DIMENSION

2020 ◽  
Vol 1 (1) ◽  
pp. 33-40
Author(s):  
D. A. Funtova ◽  
Keyword(s):  
Artificial Intelligence ◽  
Philosophy Of Mind ◽  
Subjective Experience ◽  
Modern Science ◽  
Human Mind ◽  
Scientific Data ◽  
Knowledge Based ◽  
The Individual ◽  
The Brain

High technologies have stimulated a rapidly growing knowledge-based paradigm. Therewith particular sciences seem to have separated from each other. Respectively, it brought to a certain misunderstanding about knowledge being differently directed and unreliable. Take, for instance, artificial intelligence, which is often discussed today by science and mass media. This phenomenon serves as a good example of a knowledge-based paradigm in action: it combines chemistry, computer science, engineering, linguistics, medicine, physics, philosophy and psychology. Culturology, as the broadest of the sciences, allows to comprehend artificial intelligence and opportunities it grants. Theoretically, a complete decoding of the brain cognitive processes will allow to predict the actions of the individual, to imitate and prototype him, as well as to create a model of artificial intelligence based on human intelligence. However, the modern science has not yet produced the method of such a decoding. The article considers the key differences between artificial intelligence and the human mind in accordance with relevant scientific data. The philosophy of mind and sensual subjective experience (qualia) are discussed, with the latter’s impact on culture and on individual’s life (a case study of the author’s experience of smell loss and its transformation) being analyzed. The article specifies how artificial intelligence shapes the axiological dimension of culture.

WHAT ARE THE BASIC ELEMENTS AND PRINCIPLES OF ART

2021 ◽  
Vol 2 (1SE) ◽  
pp. 17-18
Author(s):  
Shalini Dhiman
Keyword(s):  
Human Mind ◽  
Real Object ◽  
The Real ◽  
Natural Beauty ◽  
Ancient Times ◽  
The Senses ◽  
The Mind ◽  
Natural Expression

Art is natural expression of human. It is through art that a human looks at his personality. Art is such a valuable asset that everyone would have had, but not everyone is aware of it. Art enables the human mind to show direction to the senses, instill the tendencies and twist the mind. Art received by nature as a gift to human consciousnes ,divine gift. The entire creation of any artist is based on his autobiographical approach. Impressed by the material objector natural beauty, the artist through his imagination transforms the feelings produced in the mind into a work. These creations are completely different from the members of the real object. All these mediums of the artist’s expression would be line colors, stones, objects or words. Since ancient times cavities have been painted individuals through human lines. In his struggle whenever he got a break in the primitive life, he devoted every moment of his portrayal. The effects of which we still find in the prehistoric caves , painting, Ajanta, Bagh,Ellora, etc are easily available.

scholarly journals Artificial “Intelligence” and the Human Mind: Futuristic Synecdoche and Reality (Linguistic and Linguomental Aspects)

2020 ◽  
Vol 11 (4) ◽  
pp. 745-759
Author(s):  
Valery V. Volkov
Keyword(s):  
Artificial Intelligence ◽  
Cognitive Abilities ◽  
Native Speakers ◽  
Fundamental Problem ◽  
Human Mind ◽  
Cultural Aspects ◽  
Word Combination ◽  
Special Knowledge ◽  
Electrical Impulses ◽  
The Mind

The study aims to make a model of the semantic processes taking place during hermeneutic interpretation of the Russian terminological word-combination искусственный интеллект ( artificial intelligence ) in comparison with the noun ум ( mind ). The relevance of the work is due to the fact that nave (i.e., who does not have special knowledge) native speakers tend to identify (1) mind, (2) intelligence, (3) those imitations of human cognitive activities that are associated with the use of automata and computer equipment. The semantics of the noun ум ( mind ) refers to everything that is connected with consciousness in all its manifestations; in this sense, the concept of mind is among the primary concepts that cannot be correctly defined. The word интеллект (intelligence) captures only a certain part of the mind, namely, the cognitive abilities. The human mind, consciousness is beyond the capabilities of computer imitation; intelligence, understood as cognitive abilities, is partially amenable to techno-electronic modeling. The term искусственный интеллект ( artificial intelligence ) is constructed as a double synecdoche: 1) a part instead of a whole (intelligence as a part - mind as a whole); 2) a whole instead of a part (intelligence as a whole - representing this whole set of electrical impulses in the computer - a mechanism for working with data). The semantic result is the basis of the transhuman ideology, which is based on the identification of the mind, intelligence, and computer simulations. The term artificial intelligence in stylistic and cultural aspects: 1) personification of the mechanism (robot, automaton, computer), 2) depersonification of the person (human); in general - depersonificational travesty. The personification of virtual simulation intelligence and depersonification of real, authentic intelligence / mind are interpreted as the neutralization of privative antonymic opposition, as the formation of a virtual middle element, which is related to the dehumanization of human race as a fundamental problem of our time.

scholarly journals "MUSIC AND SOCIETY"

2015 ◽  
Vol 3 (1SE) ◽  
pp. 1-3
Author(s):  
Geeta Mishra
Keyword(s):  
Human Mind ◽  
Human Being ◽  
Conscious Mind ◽  
The Creation ◽  
The Senses ◽  
The Mind ◽  
The Universe

"Music" is a unique creation of the universe, which transmits the senses of the conscious mind of the human being in the pastoral world to create a feeling of unlimited bliss.Innovation in music is the transmission of the emotion of the mind, which is influenced by the environment. Along with the creation and development of the universe, the expression of intensely sensitive feelings of the human mind was communicated in the form of nad (music). Brahm Swaroop "Nad" has contributed significantly in setting the human mind to the pinnacle of divinity by enlightening the Veda knowledge. ‘‘संगीत‘‘ सृष्टि की अनुपम कृति है,जो चराचर जगत में मानव केे चेतन मन की संवेदनाओं को संचारित करके असीम आनंद की अनुभूति कराती है।संगीत में नवाचार मन के संवेग का संचरण है,जो वातावरण से प्रभावित होता है। सृष्टि की रचना एवं विकास के साथ साथ ही मानव मन की तीव्र संवेदनशील भावनाओं की अभिव्यक्ति का संचार नाद(संगीत) के रूप में हुआ। ब्रह्म स्वरूप ”नाद” ने वेद ज्ञान को सामगान से आलोकित करके मानव मन को देवत्व के शिखर पर स्थापित करने में महत्वपूर्ण योगदान दिया है।

scholarly journals Development of an Optimised Dataset for Training a Deep Neural Network

2021 ◽  
Author(s):  
Callum Newman ◽  
Jon Petzing ◽  
Yee Mey Goh ◽  
Laura Justham
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Neural Networks ◽  
Computer Vision ◽  
Light Intensity ◽  
Test Performance ◽  
Deep Neural Network ◽  
Training Dataset ◽  
Multiple Factors

Artificial intelligence in computer vision has focused on improving test performance using techniques and architectures related to deep neural networks. However, improvements can also be achieved by carefully selecting the training dataset images. Environmental factors, such as light intensity, affect the image’s appearance and by choosing optimal factor levels the neural network’s performance can improve. However, little research into processes which help identify optimal levels is available. This research presents a case study which uses a process for developing an optimised dataset for training an object detection neural network. Images are gathered under controlled conditions using multiple factors to construct various training datasets. Each dataset is used to train the same neural network and the test performance compared to identify the optimal factors. The opportunity to use synthetic images is introduced, which has many advantages including creating images when real-world images are unavailable, and more easily controlled factors.

scholarly journals The Divine Revelation and the Christian Religion

1912 ◽  
Vol 5 (3) ◽  
pp. 299-321
Author(s):  
Daniel Evans
Keyword(s):  
Human Mind ◽  
Divine Revelation ◽  
Christian Religion ◽  
The Senses ◽  
The Mind ◽  
Modern Era

With the dawn of the modern era there came a new interest in nature and the human mind. There was a withdrawal of attention from the supernatural to the natural, from the eternal to the temporal, from the divine to the human. This world with its interests came to its own. The secrets of nature were studied; its facts gathered; its laws formulated; its powers utilized; and its beauties appreciated. And the greater secrets of the human mind, too, were eagerly studied. The ideas of the mind were examined to discover whether they were innate or acquired; the relation of the data of the senses to the structure and the function of the mind was noted that the rise of knowledge might be learned; the legitimacy of the use of the categories of thought to interpret nature and the validity of our knowledge was called in question; and aspects of experience and powers of mind other than the distinctively rational came in for new appraisal.

scholarly journals Beyond Human: Deep Learning, Explainability and Representation

2020 ◽  
pp. 026327642096638
Author(s):  
M. Beatrice Fazi
Keyword(s):  
Artificial Intelligence ◽  
Feature Extraction ◽  
Deep Learning ◽  
Feature Learning ◽  
Human Mind ◽  
Black Box ◽  
Modes Of Representation ◽  
Computational Procedures ◽  
Algorithmic Thinking

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

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