[robotics-worldwide] Deadline extension, Special issue on TAMD - Representations and Architectures for Cognitive Systems

Giorgio Metta pasa at liralab.it
Sun Jan 24 08:30:18 PST 2010

Representations and Architectures for Cognitive Systems 
Call for papers for a Special Issue on IEEE Transactions on Autonomous
Mental Development http://www.liralab.it/specialissue/tamd.htm


Guest editors:
. Giorgio Metta, Italian Institute of Technology & University of Genoa,
. Gordon Cheng, Technical University Munich, GERMANY 
. Tamim Asfour, University of Karlsruhe, GERMANY 
. Barbara Caputo, Idiap Research Institute, Martigny, SWITZERLAND 
. John K. Tsotsos, York University, CANADA

The expected progress in machine learning and robotics shall enable tasks
where robots have to have sophisticated cognitive skills. Unlike
well-accepted computational models, advances in neuroscience suggest that
the underlying "architecture" that yields such cognitive skills may not
necessarily be the result of a single monolithic algorithm. Tantalizing
results of neuroscience are elucidating the roles of different brain areas
and their specific learning, sensorial and/or motor modality.

We can envisage architectures where multiple modes, actions, and learning
components interact to achieve a given task. Examples exist in the domain of
humanoid robotics, where one might like to learn about attention, reaching,
grasping but also to select appropriate actions depending on the
environmental and object affordances. Moreover, the discovery of suitable
representations is fundamental to the success of these architectures.

In this enlarged view of cognitive systems, the almost forgotten concepts of
active vision are revisited together with simultaneous sensory and motor, as
well as multimodal learning. For example, in object categorization new
methods are being developed that enable abstractions and effective
representations, keeping into account the structure of object categories,
their associated affordances and how embodiment, context and task affects
modeling and learning for an autonomous agent.

This special issue of the Transactions of Autonomous Mental Development
calls for papers in order to provide a snapshot of the state of the art in
the development of artificial cognitive systems. One or more of the
following topics (but not necessarily limited to) are welcome:

. Architectures integrating communication, control and cognitive abilities 
. Combination of different learning modes (e.g. reinforcement learning,
unsupervised learning) 
. Representations suitable for scalable cognitive architectures 
. Developmental components in system-level architectures 
. Attention and action selection 
. Cortical-like representations and computation 
. Tool use in task solving, understanding of affordances 
. Essential Computational building blocks supporting cognitive architectures

Important dates
.         Deadline for submissions: March 1st, 2010
.         Decision of the first round of review: April 15th, 2010
.         Final decision: May 1st, 2010
.         Camera ready: May 15th, 2010
.         Electronic publication: May 25th, 2010
.         Printed version: July 10th, 2010

Submission procedure
Two kinds of submissions are possible:

Regular papers, up to 15 double column pages; 
Correspondence papers either presenting a "perspective" that includes
insights into issues of wider scope than a regular paper but without being
highly computational in style or presenting concise description of recent
technical results, up to 8 double column pages.

Instructions for authors:


We are accepting submissions through Manuscript Central at:

http://mc.manuscriptcentral.com/tamd-ieee (please select "Cognitive Systems"
as the submission type)

When submitting your manuscript, please also cc to: giorgio.metta at iit.it

More information
For more information, please contact Giorgio Metta at: giorgio.metta at iit.it


Giorgio Metta <giorgio.metta at iit.it>

Italian Institute of Technology
Via Morego, 30                            
16163 Genoa, Italy                         
Ph: +39 010 7178-1411
Fax: +39 010 7170-817

URL: http://pasa.liralab.it 

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