Document Type

Article

Publication Date

2015

DOI

10.1515/eng-2015-0008

Publication Title

Open Engineering

Volume

5

Issue

1

Pages

75-88

Abstract

Cognitive computing and cognitive technologies are game changers for future engineering systems, as well as for engineering practice and training. They are major drivers for knowledge automation work, and the creation of cognitive products with higher levels of intelligence than current smart products. This paper gives a brief review of cognitive computing and some of the cognitive engineering systems activities. The potential of cognitive technologies is outlined, along with a brief description of future cognitive environments, incorporating cognitive assistants - specialized proactive intelligent software agents designed to follow and interact with humans and other cognitive assistants across the environments. The cognitive assistants engage, individually or collectively, with humans through a combination of adaptive multimodal interfaces, and advanced visualization and navigation techniques. The realization of future cognitive environments requires the development of a cognitive innovation ecosystem for the engineering workforce. The continuously expanding major components of the ecosystem include integrated knowledge discovery and exploitation facilities (incorporating predictive and prescriptive big data analytics); novel cognitive modeling and visual simulation facilities; cognitive multimodal interfaces; and cognitive mobile and wearable devices. The ecosystem will provide timely, engaging, personalized / collaborative, learning and effective decision making. It will stimulate creativity and innovation, and prepare the participants to work in future cognitive enterprises and develop new cognitive products of increasing complexity.

Comments

This work is licensed under the Creative Commons Attribution-Noncommercial-NoDerivs 3.0 License. (CC-BY-NC-ND 3.0)

Original Publication Citation

Noor, A. K. (2015). Potential of cognitive computing and cognitive systems. Open Engineering, 5(1), 75-88. doi:10.1515/eng-2015-0008

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