Cognitive Informatics and Computational Intelligence

2010

Cognitive Computing (CC) is an emerging paradigm of intelligent computing theories and technologies based on cognitive informatics that implements computational intelligence by autonomous inferences and perceptions mimicking the mechanisms of the brain. The development of Cognitive Computers (cC) is centric in cognitive computing methodologies. A cC is an intelligent computer for knowledge processing as that of a conventional von Neumann computer for data processing. This paper summarizes the presentations of a set of 9 position papers presented in the ICCI'10 Panel on Cognitive Computing and Applications contributed from invited panelists who are part of the world's renowned researchers and scholars in the field of cognitive informatics and cognitive computing.

International Journal of Cognitive Informatics and Natural Intelligence, 2000

Cognitive Informatics (CI) is a contemporary multidisciplinary field spanning across computer science, information science, cognitive science, brain science, intelligence science, knowledge science, cognitive linguistics, and cognitive philosophy. CI aims to investigate the internal information processing mechanisms and processes of the brain, the underlying abstract intelligence theories and denotational mathematics, and their engineering applications in cognitive computing and computational intelligence. This paper reports a set of eleven position statements presented in the plenary panel of IEEE ICCI*CC'13 on Cognitive Computers and Knowledge Processors contributed from invited panelists who are part of the world's renowned researchers and scholars in the field of cognitive informatics and cognitive computing.

2011

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 Systems Monographs, 2012

International Journal of Software Science and Computational Intelligence, 2018

Cognitive Computing (CC) is a contemporary field of studies on intelligent computing methodologies and brain-inspired mechanisms of cognitive systems, cognitive machine learning and cognitive robotics. The IEEE conference ICCI*CC'17 on Cognitive Informatics and Cognitive Computing was focused on the theme of neurocomputation, cognitive machine learning and brain-inspired systems. This article reports the plenary panel (Part II) in IEEE ICCI*CC'17 at Oxford University. The summary is contributed by distinguished panelists who are part of the world's renowned scholars in the transdisciplinary field of cognitive computing.

2011

Abstract 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.

2009

Cognitive informatics (CI) is the transdisciplinary enquiry of cognitive and information sciences that investigates into the internal information processing mechanisms and processes of the brain and natural intelligence, and their engineering applications via an interdisciplinary approach.

2010

Abstract Cognitive Computing (CC) is an emerging paradigm of intelligent computing theories and technologies based on cognitive informatics, which implements computational intelligence by autonomous inferences and perceptions mimicking the mechanisms of the brain. The development of Cognitive Computers (cC) is centric in cognitive computing methodologies. A cC is an intelligent computer for knowledge processing as that of a conventional von Neumann computer for data processing.

Communications in Computer and Information Science, 2018

The editorial team is honored to announce the publication of the conference proceedings of the Third International Conference on Cognitive Computing and Information Processing (CCIP 2017). The conference, which was jointly organized by the Departments of Computer Science and Information Science and Engineering of JSS Academy of Technical Education, Bengaluru, was the third in the series. The focus of the conference was to understand the recent advancements in the cognitive era of computing systems that emulate the capability of human mind. The conference provided a forum for researchers and practitioners to present and discuss new research results, practical applications, and also promote collaborative research activities in cognitive computing and information processing and related field. There were 130 papers submitted to CCIP-2017 (General track and four special sessions, namely, Cognitive Computing in Video Analytics, Cognitive Computing for Applications on Smart City, Cognitive Computing in Medical Information Processing, and Women in Information Processing) and they all underwent a rigorous review process. Upholding the quality requirements, around 33% of the papers received were selected for presentation.

I became involved in AI during the 1970s, when I was in graduate school, because I wanted to understand the nature of the mind. This seemed as though it were one of the core questions of science, on an equal footing with questions about the nature of the universe and the nature of life. Artificial intelligence, with its computational metaphor, offered the only clear course for tackling this challenging problem, and the progress made in the field's first 20 years, since its founding at the 1956 Dartmouth meeting, seemed impressive enough to promise rapid strides toward a broad computational theory of mental phenomena.