scholarly journals Religions with or without Sense of Humor: A Psychological Perspective

Religions ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 1093
Author(s):  
José M. Prieto ◽  
Pedro Altungy
Keyword(s):  
Artificial Intelligence ◽  
Graphic Design ◽  
Daily Life ◽  
Frame Of Reference ◽  
Psychological Perspective ◽  
Sense Of Humor ◽  
Group Experiences ◽  
Resolution Model ◽  
Ulterior Motives

The contrast between Homo Ridens and Homo Religiosus is launched and followed by the tug of war between the laugh of God and the sin of laughter. Funniness in jokes with religious content is explored through the incongruity-resolution model developed by Suls, a psychologist expert in artificial intelligence: among the faithful abound believers whom it deems inappropriate the hilarious endings invented, with ulterior motives, by humorists. The transgression model in graphic design, elaborated by Alvarez Junco, provides the frame of reference to discern the camouflage of four frescos and a sculpture by Michelangelo, who knew more than he appeared, and was a dissident, but not a heretic. Humor cannot be reduced to jokes, and the taxonomy created by Long and Grasser (cognitive and experimental psychologists) has been used to accentuate the nexus between witticism in daily life interactions with religious connotations: their eleven categories have been portrayed using literary narratives authored by well-known European and Asian writers. Efforts have been made to draft them with the sense of humor that corresponds to the heading. Psychologists pay attention mainly to individual or group experiences, that is, religiosity. Artists have relied on camouflage to ensure that inquisitive persons do not react by penalizing.

Taming Artificial Intelligence in Psychiatry and Pain Medicine

2020 ◽  
pp. 399-412
Author(s):  
Usef Faghihi ◽  
Sioui Maldonado-Bouchard ◽  
Mario Incayawar
Keyword(s):  
Artificial Intelligence ◽  
United States ◽  
Health Care ◽  
Deep Learning ◽  
State Of The Art ◽  
Daily Life ◽  
Health Care Sector ◽  
Human Cells ◽  
Pain Medicine ◽  
Medical Field

Today, deep learning (DL) algorithms are intertwined with our daily life. This subdomain of artificial intelligence (AI) technology is used to unlock your phone by only detecting your face, find the best path from work to your home or vice versa, or detect anomalies in the human cells taken for lab tests. Yet, although AI technology is helping in many fields, whether it has done so in the medical field is debatable. DL lacks reasoning; it is unable to determine the causes of events. This is especially crucial when it comes to the health care sector. At this point, computers cannot help physicians with their duties. On the contrary, they are the cause of burnout in more than half of physicians in United States. One of the causes of burnout repeatedly pointed out by physicians is the digitalization of medicine. This chapter presents some of the AI approaches that could help physicians. It also discusses the current limitations and dangers inherent to many of today’s state-of-the-art AI systems. The authors provide some ideas about the future of AI in pain medicine and psychiatry.

Uber and the making of an Algopticon - Insights from the daily life of Montreal drivers

2020 ◽  
Vol 44 (2) ◽  
pp. 241-260
Author(s):  
Rabih Jamil
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Daily Life ◽  
The World ◽  
Taxi Industry ◽  
Platform Economy

Using machine learning and artificial intelligence, Uber has been disrupting the world taxi industry. However, the Uber algorithmic apparatus managed to perfectionize the scalable decentralized tracking and surveillance of mobile living bodies. This article examines the Uber surveillance machinery and discusses the determinants of its algorithmically powered ‘all-seeing power’. The latter is being figured as an Algopticon that reinvents Bentham’s panopticon in the era of the platform economy.

scholarly journals MODEL PEMBELAJARAN RASULULLAH SAW DALAM PERSPEKTIF PSIKOLOGI

2017 ◽  
Vol 11 (1) ◽  
pp. 19-36
Author(s):  
Aprin Nuur Faaizun
Keyword(s):  
Educational Psychology ◽  
Daily Life ◽  
Learning Model ◽  
Identity Crisis ◽  
Research Literature ◽  
Learning Theories ◽  
Psychological Perspective ◽  
The People ◽  
Rule Out ◽  
Literature Data Analysis

Worsening of religious values in the daily life of Muslims resulted in an identity crisis and do not know his guidance. Especially for adolescents who are going through a search for identity. This identity crisis makes the guidelines on what is most close to the teens to be chosen, while education has been given to addressing the issue has not fully sunk in adolescent life. However, models of learning undertaken by the Prophet Muhammad proved to be effective for alleviating the problems of the people in the days of ancient ignorance, first he did not rule out the psychological aspects in each learning. This study aims to determine the learning model of the Prophet Muhammad and knowing psychological perspective of the learning model of the Prophet Muhammad. This research included in this type of research literature. Data analysis was carried out by performing data reduction, examine the data, verify the data, then be deduced. Results of the study: (1) learning model Prophet loaded with active learning, innovative, creative, effective and fun, (2) psychological perspective of the Prophet learning model can be seen from the learning theories of educational psychology.

scholarly journals Application and Development of Computer Artificial Intelligence Technology

2019 ◽  
Vol 1 (2) ◽  
Author(s):  
Yu Zhang
Keyword(s):  
Artificial Intelligence ◽  
Science Fiction ◽  
Daily Life ◽  
Science And Technology ◽  
Modern Society ◽  
Internet Technology ◽  
Tertiary Industry ◽  
The People ◽  
Artificial Intelligence Technology ◽  
Applied Artificial Intelligence

In the development of modern society, Internet technology has been popularized and applied. Artificial intelligence technology is not only found in science fiction movies, but has been widely used in industry, tertiary industry and people’s livelihood. Under the background of rapid advancement of science and technology, computer artificial intelligence technology will play an important role in the future. Due to a series of problems in the development of computer artificial intelligence technology, it is necessary for relevant personnel to strengthen research on the application and development of computer artificial intelligence technology. The paper mainly studies the application and development of computer artificial intelligence technology, and hopes to bring more convenience to the daily life of the people.

scholarly journals Culture and Wisdom

2018 ◽  
Author(s):  
Franki Y. H. Kung ◽  
Igor Grossmann
Keyword(s):  
Cultural History ◽  
Daily Life ◽  
Lay Theories ◽  
Psychological Perspective ◽  
Historical Factors ◽  
Affective Processes ◽  
History Of ◽  
Similarities And Differences

The concept of wisdom is ancient and deeply embedded in the cultural history of humanity. However, only in the last few decades have psychologists begun to study it scientifically. We review emerging insights into the science of wisdom from a cultural psychological perspective, focusing on (a) cultural similarities and differences in epistemological traditions; (b) lay theories of wisdom (e.g., wisdom-related cognitions, affective processes, and prosociality), and (c) the role of socio-cultural affordances for the expression of wisdom-related characteristics in daily life. Overall, evidence suggests that wisdom is a culturally-situated and malleable construct, with culture playing a central role in shaping wisdom-related behaviors, supporting a constructionist account of wisdom and its development. Understanding of ecological and cultural-historical factors for the meaning and expression of wisdom is essential for the further advancement of psychological wisdom research.

scholarly journals Mākslīgais intelekts un nākotnes regulējuma dilemma

2021 ◽  
pp. 174-182
Author(s):  
Ritvars Purmalis ◽  
Keyword(s):  
Artificial Intelligence ◽  
European Union ◽  
Daily Life ◽  
Civil Liability ◽  
Industrial Sector ◽  
The European Union ◽  
Further Development ◽  
Insight Into ◽  
Artificial Intelligence Systems ◽  
Operational Capacity

Digital innovations such as artificial intelligence systems, although limited in their current operational capacity, can be considered to be part of our daily life. Various ways in which these systems are implemented into day-to-day aspects directly affect not only the further development of the industrial sector but the society as a whole. The purpose of this article is to provide a brief insight into the current situation and the various initiatives of the European Union institutions in relation to the methodology for the application of civil liability in the case of damage caused by artificial intelligence systems, as well as to assess the content of future regulatory framework that has been published by the European Parliament, with whom it is intended to establish a common methodology throughout the European Union for the application of civil liability regime, if the damage is caused by artificial intelligence systems.

scholarly journals Governance, Risk, and Artificial Intelligence

AI Magazine ◽  
2020 ◽  
Vol 41 (1) ◽  
pp. 61-69
Author(s):  
Aaron Mannes
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Intelligent Agents ◽  
Soft Power ◽  
Daily Life ◽  
Physical Injury ◽  
Financial Loss ◽  
The Public ◽  
Hard Power ◽  
Governance Risk

Artificial intelligence, whether embodied as robots or Internet of Things, or disembodied as intelligent agents or decision-support systems, can enrich the human experience. It will also fail and cause harms, including physical injury and financial loss as well as more subtle harms such as instantiating human bias or undermining individual dignity. These failures could have a disproportionate impact because strange, new, and unpredictable dangers may lead to public discomfort and rejection of artificial intelligence. Two possible approaches to mitigating these risks are the hard power of regulating artificial intelligence, to ensure it is safe, and the soft power of risk communication, which engages the public and builds trust. These approaches are complementary and both should be implemented as artificial intelligence becomes increasingly prevalent in daily life.

scholarly journals Sentiment Perception in Articulation

2021 ◽  
Vol 9 (VII) ◽  
pp. 2803-2812
Author(s):  
Ganesh NagaVenkataSai Mohan Kancherla
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Neural Networks ◽  
Daily Life ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Multi Layer Perceptron ◽  
Working Model ◽  
Initial Stage ◽  
Perception System

Emotion is quite prevalent aspect in daily life. Every individual has a inequity levels of anxiety in the finding the concealed emotion present in a speech or talk. So we had decided to procreate a new methodology in which every emotion which is present in a speech can be detected. The system we developed can detect any emotion with a great extent of efficiency. Any type of emotion will be detected using Machine learning algorithms in a effective way. We will utilize Multi-Layer Perceptron in the initial stage and then we will compare this with working model of Convolution Neural Networks. We want to develop an Artificial Intelligence perception system which leads to detection of emotion in any articulation

scholarly journals Data Mining, Machine Learning, Deep Learning, Chemometrics. Definitions, common points and Trends (Spoiler Alert: VALIDATE your models!)

2021 ◽  
Vol 8 (32) ◽  
pp. 22-38
Author(s):  
José Manuel Amigo
Keyword(s):  
Analytical Chemistry ◽  
Artificial Intelligence ◽  
Machine Learning ◽  
Data Mining ◽  
Deep Learning ◽  
Daily Life ◽  
Big Data Analysis ◽  
Mining Machine ◽  
Learning Data ◽  
Made In

Concepts like Machine Learning, Data Mining or Artificial Intelligence have become part of our daily life. This is mostly due to the incredible advances made in computation (hardware and software), the increasing capabilities of generating and storing all types of data and, especially, the benefits (societal and economical) that generate the analysis of such data. Simultaneously, Chemometrics has played an important role since the late 1970s, analyzing data within natural science (and especially in Analytical Chemistry). Even with the strong parallelisms between all of the abovementioned terms and being popular with most of us, it is still difficult to clearly define or differentiate the meaning of Machine Learning, Data Mining, Artificial Intelligence, Deep Learning and Chemometrics. This manuscript brings some light to the definitions of Machine Learning, Data Mining, Artificial Intelligence and Big Data Analysis, defines their application ranges and seeks an application space within the field of analytical chemistry (a.k.a. Chemometrics). The manuscript is full of personal, sometimes probably subjective, opinions and statements. Therefore, all opinions here are open for constructive discussion with the only purpose of Learning (like the Machines do nowadays).

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