Cognitive Computing and Its Applications

2021 ◽  
pp. 47-68
Author(s):  
Sandhya P. ◽  
Aishwarya Madhav Mujumdar ◽  
Abhijit Biswas
Keyword(s):  
Computer Science ◽  
Cognitive Science ◽  
Industrial Revolution ◽  
Human Perception ◽  
Unstructured Data ◽  
Cognitive Systems ◽  
Cognitive Computing ◽  
Personal Lives ◽  
History Of ◽  
To Come

Cognitive computing is a combination of cognitive science and computer science. Cognitive science is study of the human brain and its functionality whereas computer science seems to have severe impacts in our personal lives, healthcare, etc. Use of massive unstructured data in past few years have led to invention of cognitive systems. Programmable computers focused on fast calculations of large amounts of data whereas cognitive systems are intended towards exploring data, finding new correlations, and context in data in order to come up with new solutions. The goal of cognitive computing is to increase boundaries of human perception instead of replacing the way human thinks. A new industrial revolution in the form of cognitive computing is responsible for job automation healthcare, transportation, home automation, and many more. This chapter includes a brief history of cognitive computing and also the eras of computing in order to understand the growth of cognitive computing in future and also the applications based on cognitive technology.

Cognitive Informatics and Cognitive Computing in Year 10 and Beyond

2011 ◽  
Vol 5 (4) ◽  
pp. 1-21 ◽  
Author(s):  
Yingxu Wang ◽  
Robert C. Berwick ◽  
Simon Haykin ◽  
Witold Pedrycz ◽  
Witold Kinsner ◽  
...  
Keyword(s):  
Information Processing ◽  
Computer Science ◽  
Cognitive Science ◽  
Cognitive Computing ◽  
Cognitive Informatics ◽  
Internal Information ◽  
Processing Mechanisms ◽  
The Brain ◽  
Science Information ◽  
Intelligence Science

Cognitive Informatics (CI) is a transdisciplinary enquiry of computer science, information sciences, cognitive science, and intelligence science that investigates into the internal information processing mechanisms and processes of the brain and natural intelligence, as well as their engineering applications in cognitive computing. The latest advances in CI leads to the establishment of cognitive computing theories and methodologies, as well as the development of Cognitive Computers (CogC) that perceive, infer, and learn. This paper reports a set of nine position statements presented in the plenary panel of IEEE ICCI*CC’11 on Cognitive Informatics in Year 10 and Beyond contributed from invited panelists who are part of the world’s renowned researchers and scholars in the field of cognitive informatics and cognitive computing.

scholarly journals Emotions in Philosophy. A Short Introduction

Studia Humana ◽  
2016 ◽  
Vol 5 (3) ◽  
pp. 8-20 ◽  
Author(s):  
Andrzej Dąbrowski
Keyword(s):  
Computer Science ◽  
Cognitive Science ◽  
History Of Philosophy ◽  
Scientific Journals ◽  
Research Centers ◽  
Affective States ◽  
Short Introduction ◽  
History Of

Abstract In recent decades, there has been a renewed attention to the emotions amongst scientists of different disciplines: psychology, psychiatry, neurobiology, cognitive science, computer science, sociology, economics, and many others. There are many research centers and scientific journals devoted to affective states already existing. However, studies of emotion have a very long history - especially in philosophy (anthropology, ethics, aesthetics, epistemology, and rhetoric). Philosophers first raised many important questions about emotions and their contribution to the discovery of the nature of emotions is very important. The aim of the article is the reconstruction of the views on emotions of particular thinkers in history of philosophy.

Philosophy and Psychology

2016 ◽  
Author(s):  
Louise Antony ◽  
Georges Rey
Keyword(s):  
Computer Science ◽  
Cognitive Science ◽  
Moral Psychology ◽  
Research Program ◽  
A Priori ◽  
Mental States ◽  
Noam Chomsky ◽  
History Of ◽  
The Mind

Philosophy and psychology have always been inseparable, particularly with regard to issues of methodology. The chapter begins with a brief history of the a priori and introspectivist traditions of both, and of the various forms of behaviorism that were a reaction to them. It then turns to the “computational” and “functionalist” approaches to the mind that grew out of the development of the computer and especially the linguistic work of Noam Chomsky. These blossomed into the research program of “cognitive science” that combines work in linguistics, psychology, neuroscience, biology, and computer science to empirically address questions about the nature and architecture of the mind, and issues in semantics, epistemology, and moral psychology. the chapter concludes by briefly discussing two important cases concerning the nature of consciousness, its supposed “unity,” and various forms of self-blindness, which raise surprising empirical questions about our introspective access to our mental states.

Cognitive Informatics and Cognitive Computing in Year 10 and Beyond

2012 ◽  
pp. 140-157
Author(s):  
Yingxu Wang ◽  
Robert C. Berwick ◽  
Simon Haykin ◽  
Witold Pedrycz ◽  
Witold Kinsner ◽  
...  
Keyword(s):  
Information Processing ◽  
Computer Science ◽  
Cognitive Science ◽  
Cognitive Computing ◽  
Engineering Applications ◽  
Cognitive Informatics ◽  
Internal Information ◽  
Processing Mechanisms ◽  
The Brain ◽  
Science Information

Cognitive Informatics (CI) is a transdisciplinary enquiry of computer science, information sciences, cognitive science, and intelligence science that investigates into the internal information processing mechanisms and processes of the brain and natural intelligence, as well as their engineering applications in cognitive computing. The latest advances in CI leads to the establishment of cognitive computing theories and methodologies, as well as the development of Cognitive Computers (CogC) that perceive, infer, and learn. This paper reports a set of nine position statements presented in the plenary panel of IEEE ICCI*CC’11 on Cognitive Informatics in Year 10 and Beyond contributed from invited panelists who are part of the world’s renowned researchers and scholars in the field of cognitive informatics and cognitive computing.

We Have Tasted the Powers of the Age to Come: Thinking the Force of the Event—from Dynamis to Puissance

2018 ◽  
Vol 40 (1) ◽  
pp. 76-94 ◽  
Author(s):  
Thomas Clément Mercier
Keyword(s):  
History Of ◽  
To Come ◽  
Interpretative Model

Responding to the provocative phrase ‘The Age of Grammatology’, I propose to question the notion of ‘age’, and to interrogate the powers or forces, the dynameis or dynasties attached to the interpretative model of historical periodisation. How may we think the undeniable actuality of the event beyond the sempiternal history of ages, and beyond the traditional, onto-teleological chain of power, possibility, force or dynamis that undergirds such history?

Beérkezett könyvek

2005 ◽  
Vol 60 (3) ◽  
pp. 425-427
Author(s):  
Csaba Pléh
Keyword(s):  
Social Interaction ◽  
Cognitive Science ◽  
Evolutionary Psychology ◽  
Well Being ◽  
General Intelligence ◽  
Human Thought ◽  
Number Of Genes ◽  
History Of ◽  
Origin Of Mind ◽  
The Mind

Ádám György: A rejtozködo elme. Egy fiziológus széljegyzetei Carpendale, J. I. M. és Müller, U. (eds): Social interaction and the development of knowledge Cloninger, R. C.: Feeling good. The science of well being Dunbar, Robin, Barrett, Louise, Lycett, John: Evolutionary psychology Dunbar, Robin: The human story. A new history of makind's evolution Geary, D. C.: The origin of mind. Evolution of brain, cognition and general intelligence Gedeon Péter, Pál Eszter, Sárkány Mihály, Somlai Péter: Az evolúció elméletei és metaforái a társadalomtudományokban Harré, Rom: Cognitive science: A philosophical introduction Horváth György: Pedagógiai pszichológia Marcus, G.: The birth of the mind. How a tiny number of genes creates the complexities of human thought Solso, R. D.: The psychology of art and the evolution of the conscious brain Wray, A. (ed.): The transition to language

Conclusion

2018 ◽  
Author(s):  
Stefan Winter
Keyword(s):  
Middle Eastern ◽  
Rich Diversity ◽  
The Social ◽  
Local Contexts ◽  
History Of ◽  
Religious Oppression ◽  
The Rich ◽  
To Come

This concluding chapter summarizes key themes and presents some final thoughts. The book has shown that the multiplicity of lived ʻAlawi experiences cannot be reduced to the sole question of religion or framed within a monolithic narrative of persecution; that the very attempt to outline a single coherent history of “the ʻAlawis” may indeed be misguided. The sources on which this study has drawn are considerably more accessible, and the social and administrative realities they reflect consistently more mundane and disjointed, than the discourse of the ʻAlawis' supposed exceptionalism would lead one to believe. Therefore, the challenge for historians of ʻAlawi society in Syria and elsewhere is not to use the specific events and structures these sources detail to merely add to the already existing metanarratives of religious oppression, Ottoman misrule, and national resistance but rather to come to a newer and more intricate understanding of that community, and its place in wider Middle Eastern society, by investigating the lives of individual ʻAlawi (and other) actors within the rich diversity of local contexts these sources reveal.

Responsive Architecture and the Problem of Obsolescence

2014 ◽  
Vol 8 (3) ◽  
pp. 95 ◽  
Author(s):  
Mark Meagher
Keyword(s):  
Computer Science ◽  
Digital Information ◽  
Material Response ◽  
Responsive Architecture ◽  
History Of ◽  
The One

Responsive architecture, a design field that has arisen in recent decades at the intersection of architecture and computer science, invokes a material response to digital information and implies the capacity of the building to respond dynamically to changing stimuli. The question I will address in the paper is whether it is possible for the responsive components of architecture to become a poetically expressive part of the building, and if so why this result has so rarely been achieved in contemporary and recent built work. The history of attitudes to- ward obsolescence in buildings is investigated as one explanation for the rarity of examples like the one considered here that successfully overcomes the rapid obsolescence of responsive components and makes these elements an integral part of the work of architecture. In conclusion I identify strategies for the design of responsive components as poetically expressive elements of architecture.

Bayesian Inference in Human Time Perception

2017 ◽  
Author(s):  
Darren Rhodes
Keyword(s):  
Time Perception ◽  
Likelihood Function ◽  
Human Perception ◽  
Future Research ◽  
Temporal Properties ◽  
History Of Research ◽  
Psychophysical Testing ◽  
History Of ◽  
Fundamental Dimension ◽  
Perception Of Time

Time is a fundamental dimension of human perception, cognition and action, as the perception and cognition of temporal information is essential for everyday activities and survival. Innumerable studies have investigated the perception of time over the last 100 years, but the neural and computational bases for the processing of time remains unknown. First, we present a brief history of research and the methods used in time perception and then discuss the psychophysical approach to time, extant models of time perception, and advancing inconsistencies between each account that this review aims to bridge the gap between. Recent work has advocated a Bayesian approach to time perception. This framework has been applied to both duration and perceived timing, where prior expectations about when a stimulus might occur in the future (prior distribution) are combined with current sensory evidence (likelihood function) in order to generate the perception of temporal properties (posterior distribution). In general, these models predict that the brain uses temporal expectations to bias perception in a way that stimuli are ‘regularized’ i.e. stimuli look more like what has been seen before. Evidence for this framework has been found using human psychophysical testing (experimental methods to quantify behaviour in the perceptual system). Finally, an outlook for how these models can advance future research in temporal perception is discussed.

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