Cognitive computing is the creation of self-learning systems that use data mining, pattern recognition and natural language processing (NLP) to solve complicated problems without constant human oversight. It is a field that is highly transdisciplinary in nature, combining ideas, principles and methods of psychology, computer and internet technologies, linguistics, philosophy, neuroscience, etc.

The goal of the International Journal of Cognitive Computing in Engineering is to explore how these data science technologies and new cognitive methods can be integrated to address real world engineering problems and challenges. For example, the journal welcomes submissions that look at the opportunities offered by combining existing data technologies with the knowledge of experts in the field and artificial intelligence. One of the benefits of cognitive computing is that it offers new analytics opportunities: the journal also welcomes designs for cognitive embedded data technologies that can process and analyse the large amount of data generated and aid decision-making.

Submissions on a variety of cognitive computing-related topics will be considered.

Editorial Board