Deep Understanding of Biological Behavioral and Affective Intelligence

Dear Colleagues,

Deep understanding of behavioural and affective intelligence has been a long-term task to enable machine intelligence and emulate biological intelligence. Indeed, the emulation of bio-intelligence has been stated in the initial Turing’s idea on the invention of AI. However, after nearly 100 years, there is yet a visible gap between machine intelligence and biological intelligence.

Recently, vast efforts have been made toward automated understanding of biological behavioural intelligence. In one side, the modelling of human and animal behaviour has been carried out to understand how biological brains respond to stimuli and environment in their behavioural patterns, and on the other side, behavioural footages from sensory inputs have been better interpreted automatically by machine intelligence. The first aspect comes from the recent progress on psychological or neurologic research, and the second aspect comes from the rapid development of computer vision on behavioural understanding. Finally it is expected that the research from both ends will meet together to help each other and achieve the final goal of fully understanding of the biological intelligence.

In this special issue, we aim to focus on the above both aspects, and encourage paper submissions on the following topics (but not limited to):

 - Psychological modelling and analysis of behavioural intelligence

- Neurological investigation of biological behavioural intelligence

- Modelling of affective intelligence, memory and response

- Visual analysis of human activities

- Multi-modal human activity classification

- Deep modelling of behaviour and activities

- Analysis of animal and insects’ behavioural patterns

- Affective analysis from facial actions

- Affective man-machine interaction

- Deep learning in behavioural and affective analysis

- Ensemble methods in behavioural and affective analysis

- Exploiting behavioural intelligence for robots

We encourage authors to submit original research articles, case studies, research, reviews, theoretical and critical perspective and viewpoint articles. Of particular interest are articles that explore new cross-disciplinary topics and techniques.

Dr. Richard Jiang
Dr. Li Zhang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Multimodal Technologies and Interaction is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• Brain Modelling
• Neuroscience
• Behavioral Psychology
• Behavioral Intelligence
• Affective Intelligence
• Affective HCI
• Machine Vision
• Robotic Vision
• Deep Learning
• Ensemble Learning