Brain-Inspired Intelligent Systems for Daily Assistance

Angelopoulou, A., Garcia-Rodriguez, J., Kapetanios, D.E., Roth, P.M. and Revett, K. 2019. Brain-Inspired Intelligent Systems for Daily Assistance. Computational Intelligence and Neuroscience. 2019 7597839. https://doi.org/10.1155/2019/7597839

TitleBrain-Inspired Intelligent Systems for Daily Assistance
TypeJournal article
AuthorsAngelopoulou, A., Garcia-Rodriguez, J., Kapetanios, D.E., Roth, P.M. and Revett, K.
Abstract

The fields of machine learning and cognitive computing have been in the last decade revolutionised with neural-inspired algorithms (e.g., deep ANNs and deep RL) and brain-intelligent systems that assist in many real-world learning tasks from robot monitoring and interaction at home to complex decision-making about emotions and behaviours in humans and animals. While there are remarkable advances in these brain-inspired algorithms and systems, they need to be trained with huge data sets, and their results lack flexibility to adapt to diverse learning tasks and sustainable performance over long periods of time. To address these challenges, it is essential to gain an analytical understanding of the principles that allow biological inspired intelligent systems to leverage knowledge and how they can be translated to hardware for daily assistance and practical applications. This special issue brings researchers from interdesciplinary domains to report their latest research work on algorithms and neural-inspired systems that flexibly adapt to new learning tasks, learn from the environment using multimodal signals (e.g., neural, physiological, and kinematic), and produce autonomous adaptive agencies, which utilise cognitive and affective data, within a social neuroscientific framework. In this special issue, we have selected five papers out of fourteen high-quality papers after a careful reviewing process, which brings the acceptance rate to 35.7 percent. The five papers are representative of the current state-of-the-art in this area.

Article number7597839
JournalComputational Intelligence and Neuroscience
Journal citation2019
ISSN1687-5265
Year2019
PublisherHindawi
Publisher's version
License
CC BY 4.0
File Access Level
Open (open metadata and files)
Digital Object Identifier (DOI)https://doi.org/10.1155/2019/7597839
Web address (URL)https://doi.org/10.1155/2019/7597839
Publication dates
Published18 Jun 2019
LicenseCC BY 4.0

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