scholarly journals Appositeness of artificial intelligence in modern medicine

2022 ◽  
Author(s):  
Harish P. ◽  
Sreedhar S. ◽  
Kunhikoyamu . ◽  
Namboothiri M. ◽  
Devi S. ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Animal Behavior ◽  
Modern Medicine ◽  
Statistical Machine Learning ◽  
Large Databases ◽  
Brain Modeling ◽  
In The Beginning ◽  
The Mind ◽  
The Brain ◽  
Human Problem

Artificial intelligence (AI) can be demonstrated as intelligence demonstrated by machines.AI research has gone through different phases like simulating the brain, modeling human problem solving, formal logic, large databases of knowledge and imitating animal behavior. In the beginning of 21st century, highly mathematical statistical machine learning has dominated the field, was found useful and considered in helping to solve many challenging problems throughout industry and academia. The domain was discovered and work was done on the assumption that human intelligence can be simulated by machines. These initiate some discussions in raising queries about the mind and the ethics of creating artificial beings with human-like intelligence. Myth, fiction, and philosophy are involved in the creation of this field. The debates and discussion also point to concerns of misuse regarding this technology.  

scholarly journals Why psychiatry can't afford to be neurophobic

2009 ◽  
Vol 194 (4) ◽  
pp. 293-295 ◽  
Author(s):  
Ed Bullmore ◽  
Paul Fletcher ◽  
Peter B. Jones
Keyword(s):  
Therapeutic Potential ◽  
Modern Medicine ◽  
Compelling Argument ◽  
The Mind ◽  
Based Medicine ◽  
The Brain

SummaryThe original vision of psychiatry was as a medicine – or physic – of the mind. If psychiatry aspires to be a progressive modern medicine of the mind, it should be fully engaged with the science of the brain. We summarise and rebut three countervailing or ‘neurophobic’ propositions and aim to show that not one provides a compelling argument for neurophobia. We suggest that there are several ways in which psychiatry could organise itself professionally to better advance and communicate the theoretical and therapeutic potential of a brain-based medicine of the mind.

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 The Future of Intelligence: The Central Meaning-Making Unit of Intelligence in the Mind, the Brain, and Artificial Intelligence

2021 ◽  
Author(s):  
Andreas Demetriou ◽  
hudson golino ◽  
George Charilaos Spanoudis ◽  
Nikolaos Makris ◽  
Samuel Greiff
Keyword(s):  
Artificial Intelligence ◽  
Meaning Making ◽  
Mental Content ◽  
Future Research ◽  
General Intelligence ◽  
Artificial Intelligence Research ◽  
Central Meaning ◽  
The Mind ◽  
Core Meaning ◽  
The Brain

This paper focuses on general intelligence, g. We first point to broadly accepted facts about g: it is robust, reliable, and sensitive to learning. We then summarize conflicting theories about its nature and development (Mutualism, Process Overlap Theory, and Dynamic Mental Field Theory) and suggest how future research may resolve their disputes. A model is proposed for g involving a core meaning-making mechanism, noetron, drawing on Alignment, Abstraction, and Cognizance, perpetually generating new mental content. Noetron develops through several levels of control: episodic attentional inferential truth epistemic control in infancy, preschool, childhood, adolescence, and adulthood, respectively. Finally, we propose an agenda for future brain, assuming a brain noetron, and artificial intelligence research, assuming an artificial noetron, that might uncover the underlying brain mechanisms of g and generate artificial general intelligence.

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 Future of Intelligence: The Central Meaning-Making Unit of Intelligence in the Mind, the Brain, and Artificial Intelligence

2021 ◽  
Author(s):  
Andreas Demetriou ◽  
hudson golino ◽  
Hudson Golino
Keyword(s):  
Artificial Intelligence ◽  
Meaning Making ◽  
Mental Content ◽  
Future Research ◽  
General Intelligence ◽  
Artificial Intelligence Research ◽  
Central Meaning ◽  
The Mind ◽  
Core Meaning ◽  
The Brain

This paper focuses on general intelligence, g. We first point to broadly accepted facts about g: it is robust, reliable, and sensitive to learning. We then summarize conflicting theories about its nature and development (Mutualism, Process Overlap Theory, and Dynamic Mental Field Theory) and suggest how future research may resolve their disputes. A model is proposed for g involving a core meaning-making mechanism, noetron, drawing on Alignment, Abstraction, and Cognizance, perpetually generating new mental content. Noetron develops through several levels of control: episodic attentional inferential truth epistemic control in infancy, preschool, childhood, adolescence, and adulthood, respectively. Finally, we propose an agenda for future brain, assuming a brain noetron, and artificial intelligence research, assuming an artificial noetron, that might uncover the underlying brain mechanisms of g and generate artificial general intelligence.

scholarly journals The future of intelligence: The central meaning-making unit of intelligence in the mind, the brain, and artificial intelligence

Intelligence ◽  
2021 ◽  
Vol 87 ◽  
pp. 101562
Author(s):  
Andreas Demetriou ◽  
Hudson Golino ◽  
George Spanoudis ◽  
Nikolaos Makris ◽  
Samuel Greiff
Keyword(s):  
Artificial Intelligence ◽  
Meaning Making ◽  
The Future ◽  
Central Meaning ◽  
The Mind ◽  
The Brain

Artificial Mind

2011 ◽  
pp. 83-93
Author(s):  
Rita M.R. Pizzi
Keyword(s):  
Artificial Intelligence ◽  
Computational Complexity ◽  
Body Problem ◽  
Biological Cells ◽  
Philosophical Debate ◽  
Artificial Brain ◽  
Mind Body Problem ◽  
The Mind ◽  
The Relationship ◽  
The Brain

The advances of artificial intelligence (AI) have renewed the interest in the mind-body problem, the ancient philosophical debate on the nature of mind and its relationship with the brain. The new version of the mind-body problem concerns the relationship between computational complexity and self-aware thought. The traditional controversy between strong and weak AI will not be settled until we are able in the future to build a robot so evolved to give us the possibility to verify its perceptions, its qualitative sensations, and its introspective thoughts. However, an alternative way can be followed: The progresses of micro-, nano-, and biotechnologies allow us to create the first bionic creatures, composed of biological cells connected to electronic devices. Creating an artificial brain with a biological structure could allow verifying if it possesses peculiar properties with respect to an electronic one, comparing them at the same level of complexity.

Does AI need symbols?

ITNOW ◽  
2021 ◽  
Vol 63 (2) ◽  
pp. 56-57
Author(s):  
Grace Lindsay
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Artificial Neural Networks ◽  
Artificial Neural ◽  
The Mind ◽  
The Brain

Abstract Inspired by the brain, artificial neural networks are core to modern artificial intelligence. Grace Lindsay, author of Models of the Mind, explains concerns over the cognitive limits of these systems.

Lighting Up the Brain to Illuminate the Mind

2004 ◽  
Vol 49 (6) ◽  
pp. 713-716
Author(s):  
Ellen S. Berscheid
Keyword(s):  
The Mind ◽  
The Brain

How Does the Brain Make the Mind? We Do Not Know.

PsycCRITIQUES ◽  
2016 ◽  
Vol 61 (32) ◽  
Author(s):  
Christopher A. Was
Keyword(s):  
The Mind ◽  
The Brain
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