17 November 2016
Anthropic-Oriented Computing (AOC) 2017

AOC is a special session of AMSTA-2017 held in Vilamoura, Algarve, Portugal 21-23 June 2017. 


The conference proceedings will be published by Springer as book chapters in a volume of the KES Smart Innovation Systems and Technologies series, submitted for indexing in Scopus and Thomson-Reuters Conference Proceedings Citation Index (CPCI) and the Web of Science.

This invited session aims at attracting international researchers in the interdisciplinary field of Anthropic-Oriented Computing (AOC), which lies at the intersection among sociology, neuroscience, philosophy, anthropology, psychology and computer science. Current systems are indeed melting pots of interacting parts mixing economical, philosophical and socio-technical issues and interests, thus calling for adequate management approaches of the ecosystem as a whole.

Trans-/inter-disciplinary methodologies are therefore required for dealing with such issues. In this invited session we specifically focus on the anthropic aspects of this complex scenario projecting them into computer science. The main focus is on humans, covering a broad spectrum from inward (emotions and affective computing) to outward (communities and crowds) aspects. On one hand, the focus is on AI through the neuro-physiological perspective. On the other hand, collective intelligence springing from human collaboration and interaction is at stake, taking into account the cultural divergences that flavour the bounded rational processes with local or situated cognitive perspectives.

The intent is to raise interest in cross-disciplinary research with potential practical outcomes in the following (but not restricted to) fields:

   Papers should be submitted to the special session till 20th of February 2017.


Main Contributing Research Centres:


Email & Contact Details:

Max Talanov - mtalanov@it.kfu.ru 

Jordi Vallverdú - jordi.vallverdu@uab.cat

Salvatore Distefano - sdistefano@unime.it sdistefano@kpfu.ru 

Evgeni Magid - dr.e.magid@ieee.org magid@it.kfu.ru

Период события: 21.06.2017 - 23.06.2017