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 Power of Predictions: An Emerging Paradigm for Psychological Research

2019 ◽  
Vol 28 (3) ◽  
pp. 280-291 ◽  
Author(s):  
J. Benjamin Hutchinson ◽  
Lisa Feldman Barrett
Keyword(s):  
Psychological Theory ◽  
Psychological Research ◽  
Human Mind ◽  
Psychological Phenomena ◽  
The Common ◽  
The Mind ◽  
And Behavior ◽  
Predictive Processes ◽  
The Brain

In the last two decades, neuroscience studies have suggested that various psychological phenomena are produced by predictive processes in the brain. When considered together, these studies form a coherent, neurobiologically inspired program for guiding psychological research about the mind and behavior. In this article, we consider the common assumptions and hypotheses that unify an emerging framework and discuss the ramifications of such a framework, both for improving the replicability and robustness of psychological research and for renewing psychological theory by suggesting an alternative ontology of the human mind.

The Colors of the Sunrise Academic Edition: A Scientific study with the use of A.I Psychotherapy, Arts & Music Therapy, Sciences, and Philosophy

2020 ◽  
Author(s):  
Anthony Skarvelakis
Keyword(s):  
Cognitive Science ◽  
Academic Research ◽  
Popular Science ◽  
Human Mind ◽  
Scientific Study ◽  
Academic Publishing ◽  
Cognitive Scientist ◽  
And Mathematics ◽  
The Mind ◽  
First Time

Glasstree Academic Publishing Edition Crossref DOI:10.20850/9781716645440An amazing exploration of the mind is now possible for everyone. With the Colors of The Sunrise, the first volume of the series The Psychotherapy of Whole: Aesthetics, Philosophy, Humanism, and Cognitive Science the reader has the opportunity to engage with a book that utilizes the methods and structure of self-help, popular science, and expressive therapies books.Science, psychotherapy, philosophy, music, art and digital reality for the first time come together in a book phenomenon and a series designed during 16 years to provide the first A.I Psychotherapy model internationally, focused on a profound study that has been evaluated by leading names from many of the areas analyzed around the world.The book has been based on the background of advanced academic research, lending from the recent and updated investigations in an extraordinary number of areas. These include but are not limited to the disciplines of social sciences, psychiatry, philosophy, expressive art therapies, exact sciences, history, politics, artificial intelligence, and humanities that are presented from a global perspective.Linguistics, neuroscience, anthropology, robotics, physics, and mathematics reconsidered as positive parts of the universal structures. It is explained the manner of uniting the cognition staying in perfect harmony with the today’s knowledge acquired by cognitive science, and the knowledge that traditionally contributes to the flourishing of the human mind through the philosophical approaches.This manner discovered through the cutting-edge clinical and scientific study of the author. As a Licensed Social Worker and Cognitive Scientist, Anthony N. Skarvelakis devoted many years of professional investigation to reach a cognitive metaprogram as a model that expands human thought, giving the solution searched for years regarding the design of the first complete model of A.I Psychotherapy.

scholarly journals Perspectives from affective science on understanding the nature of emotion

2018 ◽  
Vol 2 ◽  
pp. 239821281881262 ◽  
Author(s):  
Elaine Fox
Keyword(s):  
Social World ◽  
Human Mind ◽  
Scientific Study ◽  
Affective Neuroscience ◽  
Fundamental Nature ◽  
Scientific Consensus ◽  
Affective Science ◽  
The Social ◽  
The Brain

Emotions are at the heart of how we understand the human mind and of our relationships within the social world. Yet, there is still no scientific consensus on the fundamental nature of emotion. A central quest within the discipline of affective science is to develop an in-depth understanding of emotions, moods, and feelings and how they are embodied within the brain (affective neuroscience). This article provides a brief overview of the scientific study of emotion with a particular emphasis on psychological and neuroscientific perspectives. Following a selective snapshot of past and present research in this field, some current challenges and controversies in affective science are highlighted.

Remembering the Evolutionary Freud

2006 ◽  
Vol 19 (1) ◽  
pp. 175-189 ◽  
Author(s):  
Allan Young
Keyword(s):  
Evolutionary Theory ◽  
Sigmund Freud ◽  
Psychotic Disorders ◽  
Human Mind ◽  
Fundamental Difference ◽  
Evolutionary Origins ◽  
Point Of No Return ◽  
Evolutionary Narratives ◽  
The Mind ◽  
The Brain

ArgumentThroughout his career as a writer, Sigmund Freud maintained an interest in the evolutionary origins of the human mind and its neurotic and psychotic disorders. In common with many writers then and now, he believed that the evolutionary past is conserved in the mind and the brain. Today the “evolutionary Freud” is nearly forgotten. Even among Freudians, he is regarded to be a red herring, relevant only to the extent that he diverts attention from the enduring achievements of the authentic Freud. There are three ways to explain these attitudes. First, the evolutionary Freud's key work is the “Overview of the Transference Neurosis” (1915). But it was published at an inopportune moment, forty years after the author's death, during the so-called “Freud wars.” Second, Freud eventually lost interest in the “Overview” and the prospect of a comprehensive evolutionary theory of psychopathology. The publication of The Ego and the Id (1923), introducing Freud's structural theory of the psyche, marked the point of no return. Finally, Freud's evolutionary theory is simply not credible. It is based on just-so stories and a thoroughly discredited evolutionary mechanism, Lamarckian use-inheritance. Explanations one and two are probably correct but also uninteresting. Explanation number three assumes that there is a fundamental difference between Freud's evolutionary narratives (not credible) and the evolutionary accounts of psychopathology that currently circulate in psychiatry and mainstream journals (credible). The assumption is mistaken but worth investigating.

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.

From Coder to Creator

2009 ◽  
pp. 635-650
Author(s):  
Andreas Matthias
Keyword(s):  
Artificial Intelligence ◽  
Real Time ◽  
Processing Speed ◽  
Body Problem ◽  
Legal Responsibility ◽  
Complete Control ◽  
Responsibility Ascription ◽  
The Mind ◽  
Effective Supervision

Creation of autonomously acting, learning artifacts has reached a point where humans cannot any more be justly held responsible for the actions of certain types of machines. Such machines learn during operation, thus continuously changing their original behaviour in uncontrollable (by the initial manufacturer) ways. They act without effective supervision and have an epistemic advantage over humans, in that their extended sensory apparatus, their superior processing speed and perfect memory render it impossible for humans to supervise the machine’s decisions in real-time. We survey the techniques of artificial intelligence engineering, showing that there has been a shift in the role of the programmer of such machines from a coder (who has complete control over the program in the machine) to a mere creator of software organisms which evolve and develop by themselves. We then discuss the problem of responsibility ascription to such machines, trying to avoid the metaphysical pitfalls of the mind-body problem. We propose five criteria for purely legal responsibility, which are in accordance both with the findings of contemporary analytic philosophy and with legal practise. We suggest that Stahl’s (2006) concept of “quasi-responsibility” might also be a way to handle the responsibility gap.

Ian Glynn, An anatomy of thought: The origin and machinery of the mind. New York: Oxford University Press, 1999. Pp. vi, 456. Hb $35.

2002 ◽  
Vol 31 (4) ◽  
pp. 613-616
Author(s):  
Ronald Gray
Keyword(s):  
Artificial Intelligence ◽  
New York ◽  
Interdisciplinary Approach ◽  
Oxford University ◽  
The Mind ◽  
The Brain ◽  
Oxford University Press

In this highly ambitious book, Glynn attempts to provide a description of both how the brain works and how it has developed. Taking an interdisciplinary approach (he is a physiologist by training), he relies on insights from a wide number of disciplines, including psychology, neurology, anthropology, linguistics, artificial intelligence, psychiatry, physiology, and even philosophy. He is interested in providing answers to some perennial and interconnected questions that relate to the mind: “What kind of thing is mind? What is the relation between our minds and our bodies and, more specifically, what is the relation between what goes on in our minds, and what goes on in our brains? How did brains and minds originate? Can our brains be regarded as nothing more than exceedingly complicated machines? Can minds exist without brains” (p. 4). Although his arguments are rather technical, the book is intended for a nonscientist audience.

scholarly journals Neuromarketing – The Potential Tool for Sales of Aesthetic Lasers

2019 ◽  
Vol 8 (2S8) ◽  
pp. 1510-1513
Keyword(s):  
Evolutionary Biology ◽  
Decisive Role ◽  
Human Mind ◽  
Human Beings ◽  
Buying Behavior ◽  
Scientific Analysis ◽  
Marketing Tool ◽  
And Behavior ◽  
The Brain ◽  
Potential Tool

Marketing began in 1920s during economic prosperity as the supply was greater than demand. Industries started innovations to sell their products to unwilling customers in the scientific manner analyzing the consumer behaviors. Scientific analysis and research spread towards many fields, from economics to medicines, engineering and marketing, leading to new disciplines, such as Neuro economics, Neuro designs and Neuromarketing. Neuromarketing is the integration or coming together of distinct and separate factors or convergence of evolutionary biology, psychology, genetic, neuroscience, with marketing and economics. Neuromarketing is gaining momentum and the brain science is ruling the market for the consumer buying behavior. In the last two decades, cognitive neuroscience and psychology has made progress in the study of the human mind and behavior. Neuro design” provides the knowledge on the functioning of the human brain for the design of more effective products, size, colours, packaging etc. This paper emphasizeNeuromarketing as an effective marketing tool for sales of aesthetic laser products, so as to make products and messages more effective. Neuromarketing is everything in understanding the design cues and aesthetics, that appeal to human beings’ inner truths and sensibilities, which formed a lakh year ago. Therefore, in this study, the researcher has highlighted the opinion of the field experts that neuro variables play a decisive role in the minds of customers while choosing and buying aesthetic products.

scholarly journals Introduction

2021 ◽  
pp. 1-22
Author(s):  
Sebastian Löbner ◽  
Thomas Gamerschlag ◽  
Tobias Kalenscher ◽  
Markus Schrenk ◽  
Henk Zeevat
Keyword(s):  
Artificial Intelligence ◽  
Cognitive Psychology ◽  
Cognitive Science ◽  
Empirical Investigation ◽  
The Other ◽  
Cognitive Structures ◽  
The Mind ◽  
Empirical Means ◽  
Science Disciplines

AbstractIn order to help to explain cognition, cognitive structures are assumed to be present in the mind/brain. While the empirical investigation of such structures is the task of cognitive psychology, the other cognitive science disciplines like linguistics, philosophy and artificial intelligence have an important role in suggesting hypotheses. Researchers in these disciplines increasingly test such hypotheses by empirical means themselves. In philosophy, the traditional way of referring to such structures is via concepts, i.e. those mental entities by which we conceive reality and with the help of which we reason and plan. Linguists traditionally refer to the cognitive structures as meanings—at least those linguists with a mentalistic concept of meaning do who do not think of meaning as extra-mental entities.

Sign in / Sign up

Export Citation Format

Share Document