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AOC 2015 : ANTHROPIC-ORIENTED COMPUTING | |||||||||||||||||
Link: http://aoc.deib.polimi.it/ | |||||||||||||||||
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Call For Papers | |||||||||||||||||
AOC is a special session of AMSTA 2015 held in Sorento, Italy on 17-19 June 2015:
http://amsta-15.kesinternational.org The proceedings will be in the KES Springer series ‘Smart Innovations, Systems and Technologies’ submitted for indexing in Scopus and CPCI, which is part of Web of Science. It aims at attracting international researchers in the interdisciplinary field of Anthropic-Oriented Computing (AOC) Computing, which lays 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 then, 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 rise interest on cross-disciplinary research with potential practical outcomes in the following (but not restricted to) fields: Affective cognitive architectures Crowdcasting Crowdsourcing Crowdsensing Emotional computer interface Situated and embodied cognition Swarm cognition (swarm intelligence + distributed cognition = swarm cognition) Multi agent neural network Spiking neural network Neuro-biologically inspired systems for AI Philosophical aspects of Artificial consciousness Minimal cognitive models and their scalability Computational Psychological aspects of Affective computation Computational Neuroscientific aspects of Affective computation Decision making and Artificial Consciousness Volunteer computing Social computing Collective intelligence Multi-agent system approaches to crowd modelling Agent-based crowd simulation Crowd agents Agent crowd map |
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