Cognitive science: Information processing in humans and computers

2005 ◽  
pp. 84-112 ◽  
Author(s):  
Gerhard Fischer
Keyword(s):  
Information Processing ◽  
Cognitive Science ◽  
Science Information

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.

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.

scholarly journals Neo-mechanistic explanatory integration for cognitive science: the problem of reduction remains

Sofia ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 124-145 ◽  
Author(s):  
Diego Azevedo Leite
Keyword(s):  
Information Processing ◽  
Cognitive Science ◽  
Cognitive Models ◽  
Human Cognition ◽  
Cognitive Mechanisms ◽  
Cognitive Sciences ◽  
Significant Challenge ◽  
Neural Processes ◽  
Cognitive Theories ◽  
Multi Level

One of the central aims of the neo-mechanistic framework for the neural and cognitive sciences is to construct a pluralistic integration of scientific explanations, allowing for a weak explanatory autonomy of higher-level sciences, such as cognitive science. This integration involves understanding human cognition as information processing occurring in multi-level human neuro-cognitive mechanisms, explained by multi-level neuro-cognitive models. Strong explanatory neuro-cognitive reduction, however, poses a significant challenge to this pluralist ambition and the weak autonomy of cognitive science derived therefrom. Based on research in current molecular and cellular neuroscience, the framework holds that the best strategy for integrating human neuro-cognitive theories is through direct reductive explanations based on molecular and cellular neural processes. It is my aim to investigate whether the neo-mechanistic framework can meet the challenge. I argue that leading neo-mechanists offer some significant replies; however, they are not able yet to completely remove strong explanatory reductionism from their own framework.

Perspectives on the Field of Cognitive Informatics and its Future Development

2012 ◽  
pp. 20-34
Author(s):  
Yingxu Wang ◽  
Bernard Carlos Widrow ◽  
Bo Zhang ◽  
Witold Kinsner ◽  
Kenji Sugawara ◽  
...  
Keyword(s):  
Information Processing ◽  
Computer Science ◽  
Future Development ◽  
External Information ◽  
Cognitive Computing ◽  
Cognitive Informatics ◽  
Internal Information ◽  
Processing Mechanisms ◽  
The Brain ◽  
Science Information

The contemporary wonder of sciences and engineering has recently refocused on the beginning point of: how the brain processes internal and external information autonomously and cognitively rather than imperatively like conventional computers. Cognitive Informatics (CI) is a transdisciplinary enquiry of computer science, information sciences, cognitive science, and intelligence science that investigates the internal information processing mechanisms and processes of the brain and natural intelligence, as well as their engineering applications in cognitive computing. This paper reports a set of eight position statements presented in the plenary panel of IEEE ICCI’10 on Cognitive Informatics and Its Future Development contributed from invited panelists who are part of the world’s renowned researchers and scholars in the field of cognitive informatics and cognitive computing.

Vygotsky and cognitive science: Language and the unification of the social and computational mind. William Frawley. Cambridge, MA: Harvard University Press, 1997. Pp. 384.

2000 ◽  
Vol 21 (3) ◽  
pp. 425-426 ◽  
Author(s):  
Diane Beals
Keyword(s):  
Information Processing ◽  
Cognitive Science ◽  
Human Mind ◽  
Harvard University ◽  
Computational Approaches ◽  
The Social ◽  
Sociocultural Theories ◽  
Ways Of Thinking ◽  
Important Position

Vygotsky's social psycholinguist approach is not incompatible with computational approaches to the study of mind. In this way William Frawley sets the stage for a Vygoskyan cognitive science. Socioculturalists' theorizing on the work of the human mind has long maintained boundaries against cognitive science's information processing approaches and language, and vice versa. Frawley argues that no such division is entirely necessary and offers powerful ways of linking the two ways of thinking. Frawley's background in both Vygotskyan and other sociocultural theories, as well as in cognitive science and computational theories, places him in an important position to make these links.

Cognitive Science Helps Formulate Games for Moral Education

2011 ◽  
pp. 181-196
Author(s):  
Neha Khetrapal
Keyword(s):  
Decision Making ◽  
Information Processing ◽  
Cognitive Science ◽  
Moral Education ◽  
Significant Role ◽  
Real World ◽  
Ethical Decision ◽  
Ethical Decision Making ◽  
School Curriculum ◽  
Moral Principles

This chapter emphasizes that cognitive science can play a significant role in formulating games for moral education. The chapter advocates an encompassing approach where games should be developed by concentrating on the interaction of users with their contexts. Ethics entail moral principles and ethical decision-making is dependent upon developing cognitive structures. Therefore, while designing games one needs to consider developmental trends and information processing models. The framework developed here further emphasizes the need to develop moral games based upon principles of good games in general. There should also be stringent criteria to gauge the success of the game in real world contexts, especially if these games function as part of a school curriculum for moral education. Finally, the chapter concludes with issues surrounding the implementation of such technologies.

scholarly journals What Does Theology Have to Do With Religion?

Open Theology ◽  
2016 ◽  
Vol 2 (1) ◽  
Author(s):  
Olli-Pekka Vainio
Keyword(s):  
Information Processing ◽  
Cognitive Science ◽  
Theoretical Basis ◽  
Processing System ◽  
Dual Process ◽  
Cognitive Science Of Religion ◽  
Evolutionary Debunking Arguments ◽  
Information Processing System ◽  
Debunking Arguments ◽  
Evolutionary Debunking

AbstractIn the cognitive science of religion (CSR), it is often claimed that religion is a product of information processing system that is nonconscious, automatic and irrational. This view rests on a theoretical basis provided by dual-process accounts (DPA) of reasoning. In this paper, I will provide some examples how DPAs are employed in contemporary theorizing in CSR and point out some problems, which reveal an oversight that may impede the progress of the scientific study of religion. The topic touches on the wider debate on evolutionary debunking arguments but my point concerns CSR theorizing and how it might not be able to understand religion properly.

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