posted by organizer: rdelhibabu || 962 views || tracked by 1 users: [display]



When Jun 17, 2015 - Jun 19, 2015
Where Hilton Sorrento Palace, Italy
Abstract Registration Due Feb 15, 2015
Submission Deadline Feb 25, 2015
Notification Due Mar 2, 2015
Final Version Due Mar 2, 2015
Categories    crowd agents   multi agent   computational psychological   decision making

Call For Papers

AOC is a special session of AMSTA 2015 held in Sorento, Italy on 17-19 June 2015:

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
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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