scholarly journals Review for Cognitive Systems Research of the book The Brain and AI, by authors Karl Schlagenhauf and Fanji Gu

2020 ◽  
Vol 64 ◽  
pp. 29-36
Author(s):  
Hans Liljenström
Keyword(s):  
Cognitive Systems ◽  
Systems Research ◽  
The Brain

scholarly journals A neurocognitive model of ideological thinking

2021 ◽  
pp. 1-15
Author(s):  
Leor Zmigrod
Keyword(s):  
Empirical Evidence ◽  
Motivational Factors ◽  
Cognitive Systems ◽  
Social Forces ◽  
Low Level ◽  
Cognitive Principles ◽  
High Level ◽  
Ideological Attitudes ◽  
The Brain

Abstract Ideological behavior has traditionally been viewed as a product of social forces. Nonetheless, an emerging science suggests that ideological worldviews can also be understood in terms of neural and cognitive principles. The article proposes a neurocognitive model of ideological thinking, arguing that ideological worldviews may be manifestations of individuals’ perceptual and cognitive systems. This model makes two claims. First, there are neurocognitive antecedents to ideological thinking: the brain’s low-level neurocognitive dispositions influence its receptivity to ideological doctrines. Second, there are neurocognitive consequences to ideological engagement: strong exposure and adherence to ideological doctrines can shape perceptual and cognitive systems. This article details the neurocognitive model of ideological thinking and synthesizes the empirical evidence in support of its claims. The model postulates that there are bidirectional processes between the brain and the ideological environment, and so it can address the roles of situational and motivational factors in ideologically motivated action. This endeavor highlights that an interdisciplinary neurocognitive approach to ideologies can facilitate biologically informed accounts of the ideological brain and thus reveal who is most susceptible to extreme and authoritarian ideologies. By investigating the relationships between low-level perceptual processes and high-level ideological attitudes, we can develop a better grasp of our collective history as well as the mechanisms that may structure our political futures.

scholarly journals On The Verge of the Hybrid Mind

2021 ◽  
Vol 1 (1) ◽  
pp. 30-43
Author(s):  
Surjo Soekadar ◽  
Jennifer Chandler ◽  
Marcello Ienca ◽  
Christoph Bublitz
Keyword(s):  
Human Brain ◽  
Natural Environment ◽  
The Body ◽  
The Self ◽  
Cognitive Systems ◽  
Privacy And Security ◽  
Technological Artifacts ◽  
Mind And Body ◽  
The Mind ◽  
The Brain

Recent advances in neurotechnology allow for an increasingly tight integration of the human brain and mind with artificial cognitive systems, blending persons with technologies and creating an assemblage that we call a hybrid mind. In some ways the mind has always been a hybrid, emerging from the interaction of biology, culture (including technological artifacts) and the natural environment. However, with the emergence of neurotechnologies enabling bidirectional flows of information between the brain and AI-enabled devices, integrated into mutually adaptive assemblages, we have arrived at a point where the specific examination of this new instantiation of the hybrid mind is essential. Among the critical questions raised by this development are the effects of these devices on the user’s perception of the self, and on the user’s experience of their own mental contents. Questions arise related to the boundaries of the mind and body and whether the hardware and software that are functionally integrated with the body and mind are to be viewed as parts of the person or separate artifacts subject to different legal treatment. Other questions relate to how to attribute responsibility for actions taken as a result of the operations of a hybrid mind, as well as how to settle questions of the privacy and security of information generated and retained within a hybrid mind.

Cognitive Intelligence

2016 ◽  
Vol 10 (4) ◽  
pp. 1-20 ◽  
Author(s):  
Yingxu Wang ◽  
Bernard Widrow ◽  
Lotfi A. Zadeh ◽  
Newton Howard ◽  
Sally Wood ◽  
...  
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Computational Intelligence ◽  
Cognitive Systems ◽  
Cognitive Computing ◽  
Cognitive Intelligence ◽  
Basic Studies ◽  
Deep Reasoning ◽  
Intelligence Theories ◽  
The Brain

The theme of IEEE ICCI*CC'16 on Cognitive Informatics (CI) and Cognitive Computing (CC) was on cognitive computers, big data cognition, and machine learning. CI and CC are a contemporary field not only for basic studies on the brain, computational intelligence theories, and denotational mathematics, but also for engineering applications in cognitive systems towards deep learning, deep thinking, and deep reasoning. This paper reports a set of position statements presented in the plenary panel (Part I) in IEEE ICCI*CC'16 at Stanford University. The summary is contributed by invited panelists who are part of the world's renowned scholars in the transdisciplinary field of CI and CC.

Human Song

2013 ◽  
Author(s):  
Jay Schulkin
Keyword(s):  
Serial Order ◽  
Memory Systems ◽  
Point Of View ◽  
Creative Expression ◽  
Cognitive Systems ◽  
Motor Systems ◽  
Evolutionary Context ◽  
The Relationship ◽  
The Brain ◽  
Evolutionary Point

This chapter examines the fundamental link between cognitive systems, movement, and the organization of the brain; what psychobiologist Karl Lashley emphasized in his essay on the “serial order of behavior” in which he also discusses music. Many different cognitive and motor systems fuel our ability to organize action, thought, and music. Musical expression is just one example of serial orders of behavior and diverse human creative expression. The chapter first considers the relationship between speech, song, and language in the evolutionary context before discussing how cognitive motor systems are embedded in language and gestures. It then looks at the neurotransmitter dopamine, a vital chemical for syntax, song, movement, discrepancy, and the prediction of reward. It also explains how, from an evolutionary point of view, the organization of thought is embedded in the organization of action. Finally, it provides an overview of procedural and declarative cognitive/memory systems.

Cognitive Intelligence

2020 ◽  
pp. 1500-1523
Author(s):  
Yingxu Wang ◽  
Bernard Carlos Widrow ◽  
Lotfi A. Zadeh ◽  
Newton Howard ◽  
Sally Wood ◽  
...  
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Computational Intelligence ◽  
Cognitive Systems ◽  
Cognitive Computing ◽  
Cognitive Intelligence ◽  
Basic Studies ◽  
Deep Reasoning ◽  
Intelligence Theories ◽  
The Brain

The theme of IEEE ICCI*CC'16 on Cognitive Informatics (CI) and Cognitive Computing (CC) was on cognitive computers, big data cognition, and machine learning. CI and CC are a contemporary field not only for basic studies on the brain, computational intelligence theories, and denotational mathematics, but also for engineering applications in cognitive systems towards deep learning, deep thinking, and deep reasoning. This paper reports a set of position statements presented in the plenary panel (Part I) in IEEE ICCI*CC'16 at Stanford University. The summary is contributed by invited panelists who are part of the world's renowned scholars in the transdisciplinary field of CI and CC.

The Spark of Life and the Unification of Intelligence, Health, and Aging

2019 ◽  
Vol 28 (3) ◽  
pp. 223-228 ◽  
Author(s):  
David C. Geary
Keyword(s):  
Successful Aging ◽  
Biological Systems ◽  
Cognitive Systems ◽  
Common Denominator ◽  
Energy Availability ◽  
General Intelligence ◽  
Cognitive Domains ◽  
Cellular Energy ◽  
Optimal Functioning ◽  
The Brain

General intelligence ( g) represents the factors that influence performance across all academic and cognitive domains. The search for these factors has been ongoing for more than a century and has focused on the brain and cognitive systems that support learning and problem solving. In recent decades, it has become clear that the factors that influence academic and cognitive performance extend to general health and to successful aging in adulthood. The implication is that there may be one or several fundamental processes that influence the functioning of all biological systems, not simply the brain. The functioning of mitochondria is well situated as one of the processes that might unify intelligence, health, and aging. These organelles are located within cells and are the primary producers of cellular energy, among other functions. Energy availability, in turn, is the lowest common denominator needed for the development, maintenance, and optimal functioning of all biological systems. Here, I review the relations among intelligence, health, and aging and outline how the efficiency of mitochondrial functioning can link them together.

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