Cognitive Computing investigates the development of self-learning systems, that naturally interact with humans in complex environments, and are capable to adapt to context and changes in language and meaning. These systems mimic the human mind processes, elaborating huge amounts of data, finding correlations, testing hypotheses, making predictions and inferences, drawing conclusions, and so on. This is an extremely interdisciplinary emerging research area, at the core of Artificial Intelligence, combining and complementing the scientific results from various disciplines, such as Natural Language Processing, Knowledge Representation and Reasoning, Audio and Video Analysis, Computer-Human Interaction, Neuroscience, and so on.
In this Special Issue we aim to attract research contributions describing uses of cognitive computing techniques in concrete scenarios, by highlighting why these techniques demonstrated their suitability and which are the challenges they solved. Topics of interest include Cognitive Knowledge Acquisition, Representing, Formalizing and Reasoning with Cognitive Knowledge, Development of Cognitive Systems, Real-world applications that exploit Cognitive Knowledge, with a particular attention on the Deployment of Cognitive Systems in challenging domains.
The content of the Special Issue aims to provide the reader with a comprehensive, up-to-date overview of the challenges, approaches and applications of cognitive techniques in concrete, real-world settings.
This special issue welcomes original high-quality contributions that have been neither published in nor submitted to any journals or refereed conferences.
Extended versions of conference papers should include at least 30% of new material.
Contributions have to be submitted via the PRAI Editorial Manager website.
Please select "S.I. : Applied Cognitive Computing" during the submission procedure.
Follow the "Instructions for authors" on the journal web-site for preparing your submission.