IEEE TAMD 2010 - Special issue on Active learning & intrinsically motivated exploration at IEEE TAMD

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Category IEEE TAMD 2010

Deadline: March 01, 2010 | Date: June 15, 2010

Venue/Country: SP, Germany

Updated: 2010-06-04 19:32:22 (GMT+9)

Call For Papers - CFP

Posted by: Zhengyou Zhang (zhangmicrosoft.com)

Date submitted: Nov. 22nd, 2009

Content:

IEEE Transactions on Autonomous Mental Development

Special Issue on Representations and Architectures for Cognitive Systems

Guest editors:

Giorgio Metta, Italian Institute of Technology & University of

Genoa, ITALY

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

Forewords

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: Feb 1st, 2010

* Decision of the first round of review: March 15th, 2010

* Final decision: April 15th, 2010

* Camera ready: May 1st, 2010

* Electronic publication: May 10th, 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:

http://ieee-cis.org/pubs/tamd/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