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.

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 A Blended Artificial Intelligence Approach for Spectral Classification of Stars in Massive Astronomical Surveys

Entropy ◽  
2020 ◽  
Vol 22 (5) ◽  
pp. 518
Author(s):  
Carlos Dafonte ◽  
Alejandra Rodríguez ◽  
Minia Manteiga ◽  
Ángel Gómez ◽  
Bernardino Arcay
Keyword(s):  
Artificial Intelligence ◽  
Hybrid Approach ◽  
Success Rates ◽  
Stellar Spectra ◽  
Knowledge Based ◽  
Astronomical Surveys ◽  
Classification Project ◽  
Intelligent Models ◽  
The Individual

This paper analyzes and compares the sensitivity and suitability of several artificial intelligence techniques applied to the Morgan–Keenan (MK) system for the classification of stars. The MK system is based on a sequence of spectral prototypes that allows classifying stars according to their effective temperature and luminosity through the study of their optical stellar spectra. Here, we include the method description and the results achieved by the different intelligent models developed thus far in our ongoing stellar classification project: fuzzy knowledge-based systems, backpropagation, radial basis function (RBF) and Kohonen artificial neural networks. Since one of today’s major challenges in this area of astrophysics is the exploitation of large terrestrial and space databases, we propose a final hybrid system that integrates the best intelligent techniques, automatically collects the most important spectral features, and determines the spectral type and luminosity level of the stars according to the MK standard system. This hybrid approach truly emulates the behavior of human experts in this area, resulting in higher success rates than any of the individual implemented techniques. In the final classification system, the most suitable methods are selected for each individual spectrum, which implies a remarkable contribution to the automatic classification process.

scholarly journals Adopting Artificial Intelligence in Public Healthcare: The Effect of Social Power and Learning Algorithms

2021 ◽  
Vol 18 (23) ◽  
pp. 12682
Author(s):  
Tara Qian Sun
Keyword(s):  
Artificial Intelligence ◽  
Social Power ◽  
Learning Algorithm ◽  
Public Healthcare ◽  
Power Structures ◽  
Structured Interviews ◽  
Factors Affecting ◽  
Knowledge Based ◽  
Power Pattern

Although the use of artificial intelligence (AI) in healthcare is still in its early stages, it is important to understand the factors influencing its adoption. Using a qualitative multi-case study of three hospitals in China, we explored the research of factors affecting AI adoption from a social power perspective with consideration of the learning algorithm abilities of AI systems. Data were collected through semi-structured interviews, participative observations, and document analysis, and analyzed using NVivo 11. We classified six social powers into knowledge-based and non-knowledge-based power structures, revealing a social power pattern related to the learning algorithm ability of AI.

scholarly journals Giving Up on Consciousness as the Ghost in the Machine

2021 ◽  
Vol 12 ◽  
Author(s):  
Peter W. Halligan ◽  
David A. Oakley
Keyword(s):  
Subjective Experience ◽  
Human Mind ◽  
Social Construct ◽  
Human Psychology ◽  
Person Perspective ◽  
Subjective Awareness ◽  
Knowing That ◽  
Cognitive Neurosciences ◽  
And Control ◽  
The Brain

Consciousness as used here, refers to the private, subjective experience of being aware of our perceptions, thoughts, feelings, actions, memories (psychological contents) including the intimate experience of a unified self with the capacity to generate and control actions and psychological contents. This compelling, intuitive consciousness-centric account has, and continues to shape folk and scientific accounts of psychology and human behavior. Over the last 30 years, research from the cognitive neurosciences has challenged this intuitive social construct account when providing a neurocognitive architecture for a human psychology. Growing evidence suggests that the executive functions typically attributed to the experience of consciousness are carried out competently, backstage and outside subjective awareness by a myriad of fast, efficient non-conscious brain systems. While it remains unclear how and where the experience of consciousness is generated in the brain, we suggested that the traditional intuitive explanation that consciousness is causally efficacious is wrong-headed when providing a cognitive neuroscientific account of human psychology. Notwithstanding the compelling 1st-person experience (inside view) that convinces us that subjective awareness is the mental curator of our actions and thoughts, we argue that the best framework for building a scientific account is to be consistent with the biophysical causal dependency of prior neural processes. From a 3rd person perspective, (outside view), we propose that subjective awareness lacking causal influence, is (no more) than our experience of being aware, our awareness of our psychological content, knowing that we are aware, and the belief that that such experiences are evidence of an agentive capacity shared by others. While the human mind can be described as comprising both conscious and nonconscious aspects, both ultimately depend on neural process in the brain. In arguing for the counter-intuitive epiphenomenal perspective, we suggest that a scientific approach considers all mental aspects of mind including consciousness in terms of their underlying, preceding (causal) biological changes, in the realization that most brain processes are not accompanied by any discernible change in subjective awareness.

scholarly journals THE FUTURE OF HUMANISM: THE PLACE OF HUMAN IN TECHNOGENIC CIVILIZATION

2020 ◽  
pp. 155-165
Keyword(s):  
Science And Technology ◽  
Modern Science ◽  
Point Of View ◽  
Spiritual Values ◽  
Cultural Issues ◽  
Modern Culture ◽  
The Future ◽  
The Individual ◽  
Electrical Impulses ◽  
The Brain

The article is devoted to reflections on the future of the humanistic paradigm that underlies modern culture, and an analysis of the views of modern philosophers and historians on this scientific problem. Modern science and technology are evolving very rapidly. Society is trying to keep up with their development and modernize culture to meet new requirements. The foundation of modern culture is humanism as a system of views and values associated with the recognition of the central role of man, as well as with the belief in the need to coordinate strategies for solving any socio-cultural issues with the essence of human. At the same time, a person in the context of a humanistic worldview is certainly perceived as a bearer of the individual “I”, acts as the basis of personality. Science and technology are still developing within the framework of a humanistic system of values, and they also set ambitious goals based on such value. However, there are already very significant contradictions between the values of humanism and scientific achievements. Consequently, there is a need for a fundamental analysis of this situation. It seems that technology poses a significant threat to humanism, and this threat can be realized in several scenarios. On the one hand, modern science undermines “faith” in humanism when it claims that despite advances in the analysis of the functioning of the brain, it has failed to find the very center of personality, the individual “I” of a person, on the basis of which the humanistic paradigm is built. That is, science has failed to figure out how electrical impulses turn into consciousness. And if we assume that no “I” actually exists, that this is only a certain function of the brain to create a holistic picture of the world, then a person can be considered simply as one of the algorithms. Then it does not matter on what basis this algorithm works, that is, “live” and artificial algorithms in fact are not fundamentally different. Such considerations, of course, leave humanism no chance. Such reasoning, of course, leaves no chance for humanism. On the other hand, the “humanistic” goals of humanity can lead to its complete or partial transformation into a certain “super-humanity”. And attempts to define the “spiritual” values of such a future “new formation” look like a fundamentally insoluble task. So, from the point of view of determining the future states of humanism, modern philosophers have something to think about.

scholarly journals Experimenting with reproducibility in bioinformatics

2017 ◽  
Author(s):  
Yang-Min Kim ◽  
Jean-Baptiste Poline ◽  
Guillaume Dumas
Keyword(s):  
High Performance ◽  
Scientific Activity ◽  
Scientific Data ◽  
The Individual ◽  
High Performance Computing Cluster ◽  
Performance Computing ◽  
Scientific Fields ◽  
Research Efficiency

AbstractReproducibility has been shown to be limited in many scientific fields. This question is a fundamental tenet of the scientific activity, but the related issues of reusability of scientific data are poorly documented. Here, we present a case study of our attempt to reproduce a promising bioinformatics method [1] and illustrate the challenges to use a published method for which code and data were available. First, we tried to re-run the analysis with the code and data provided by the authors. Second, we reimplemented the method in Python to avoid dependency on a MATLAB licence and ease the execution of the code on HPCC (High-Performance Computing Cluster). Third, we assessed reusability of our reimplementation and the quality of our documentation. Then, we experimented with our own software and tested how easy it would be to start from our implementation to reproduce the results, hence attempting to estimate the robustness of the reproducibility. Finally, in a second part, we propose solutions from this case study and other observations to improve reproducibility and research efficiency at the individual and collective level.Availabilitylast version of StratiPy (Python) with two examples of reproducibility are available at GitHub [2][email protected]

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."

scholarly journals The emergence of artificial Intelligence through the prism of Haeckel’s biogenetic law

2019 ◽  
Vol 22 (11) ◽  
pp. 25-36
Author(s):  
С. С. Бескаравайний
Keyword(s):  
Artificial Intelligence ◽  
Human Body ◽  
Human Mind ◽  
The Body ◽  
Learning Ability ◽  
The Internet ◽  
The Status ◽  
Genetic Law ◽  
The Individual ◽  
Functional Mechanisms

The article discusses the analogies between the formation of humanity as a collective subject, and the modern process of forming artificial intelligence, which should also have the features of a collective subject. It is shown that attempts to rely solely on the study of individual intelligence are unproductive. The isomorphism of anthroposociogenesis and the creation of AI is motivated by the following: AI is created by human civilization - therefore, its thinking will reproduce both the features of individual intelligence and the features of civilization that ensure the socialization of the individual. The problem of copying consciousness is difficult to analyze, therefore, the formation of subjectivity is considered. A technosubject is a collection of devices and programs that can determine their own future. It has been established that the bio-genetic law acts as a vector for the evolutionary variability of technical devices and sets the boundary conditions that must be met in the process of becoming a techno-subject. Copying the process of the emergence of the human mind and at the same time the practice of society in the accumulation and processing of information shows the path of development. Since now all functional mechanisms of the development of the mind and consciousness have not been revealed, it is necessary to correlate the new, computer mind with the form, with the external manifestations of the previous, natural, intelligence. There are also differences between these processes: 1) in comparison with the formation of human intelligence, the formation of AI is more reflexive, conscious, 2) the fundamentally different physicality of AI, due to the transfer of a large amount of information between machines, 3) the formation of techno-subject can be completely different in speed, since the learning ability of neural networks can exceed the learning ability of a person. Now, technological structures for storing information that we perceive in a socio-technological context can become elements of the body of a new subject. The Internet of things shows the possibility of a fundamentally new physicality, and communications in it are equivalent to unconscious biochemical processes in the human body. At the same time, copying the forms of the human body is redundant, but copying of manipulators and robot operators that can interact with the infrastructure created by man is necessary. It is shown that the Internet as a whole, as a single system, in modern conditions cannot become an AI carrier, it is more a medium than a subject. The carriers of AI should be the structural units of the technosphere, which will become the spokesmen of those contradictions that are sources of development. Probably, these will be technocenoses that will strive to achieve autotrophy, which will require extremely clear goal-setting from them, and, as a result, will lead them to the status of a techno-subject.

Feeling as knowing — Part II

2001 ◽  
Vol 2 (1) ◽  
pp. 75-102 ◽  
Author(s):  
Timo Järvilehto
Keyword(s):  
Emotional Expression ◽  
Subjective Experience ◽  
Brain Activity ◽  
Local Character ◽  
Behavioral Observations ◽  
The Social ◽  
Personal Consciousness ◽  
The Individual ◽  
The Given ◽  
The Brain

In the latter part of this two-article sequence, the concept of emotion as reorganization of the organism-environment system is developed further in relation to consciousness, subjective experience and brain activity. It is argued that conscious emotions have their origin in reorganizational changes in primitive co-operative organizations, in which they get a more local character with the advent of personal consciousness and individuality, being expressed in conscious emotions. However, the conscious emotion is not confined to the individual only, but it gets its content and the emotional quale in the social context, and in relation to the norms of the given culture. Emotion is fundamentally the process of ascription of meaning to the parts of the world which are relevant in the achievement of results of behavior. Although emotions may be studied as reorganizational processes in the organism-environment system with the help of physiological recordings and behavioral observations, it is argued — in contrast to the mainstream cognitive science — that emotions cannot be localized in the brain, although the brain is important in their generation as a part of the organism-environment system. It is suggested that the parts of the brain most closely related to emotional expression contain neurons subserving functional systems which are formed in early development, and which are therefore most intimately related to reorganizational processes in the organism-environment system.

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