CFP: 9th International Conference on Development and Learning (ICDL)

9th International Conference on Development and Learning (ICDL)
University of Michigan, Ann Arbor, MI, USA
http://www.icdl-2010.org
August 18-21, 2010

ICDL is the premiere venue for interdisciplinary research that blends
the boundaries between robotics, artificial intelligence, machine
learning, developmental psychology, neuroscience, and philosophy. The
scope of development and learning covered by this conference includes
perceptual, cognitive, motor, behavioral, emotional and other related
capabilities that are exhibited by humans, higher animals, artificial
systems and robots.

While most other conferences focus on either mechanisms or organisms,
ICDL focuses on both! The papers presented at the conference are split
approximately 50-50 between the “natural intelligence side,” such as
neuroscience and psychology, and the “artificial intelligence side,”
such as machine intelligence and robotics. This diversity is mirrored
in the composition of the organizing committee and the ICDL governing
board. Please join us in 2010 when we celebrate our 10-th anniversary.

Topics of interest include, but are not limited to:

* General principles of development
* Cognitive and perceptual development
* Developmental learning: schedules and architectures
* New methodologies to study natural and artificial intelligence.
* Statistical learning in humans and machines
* Embodied cognition
* Play and exploration in animals, infants and robots
* Interactive learning
* Cultural learning
* Social and emotional development
* Theory of mind
* Language acquisition
* Skill acquisition
* Intrinsic motivation
* Dynamic systems
* Attention mechanisms and their role in development
* Philosophical issues of development and learning
* Differences between learning and development
* Interactions of learning and development with evolution
* Grounding of knowledge and representations
* Studies and models of developmental disorders, e.g., autism
* Using robots to study development and learning
* Human-Robot interaction
* Visual, auditory, and tactile systems and their development
* Motor systems and their development
* Biological and biologically inspired developmental architectures
* Neural plasticity during development.

ICDL 2010 will accept two types of submissions:

1) Full six-page paper submissions. Accepted papers will be included
in the conference proceedings and will be selected for either an oral
presentation or a featured poster presentation. Featured posters
will have a 1 minute “teaser” presentation as part of the main
conference session and will be showcased in the poster sessions.

2) Two-page poster abstract submissions. To encourage late-breaking
results or for work that is not sufficiently mature for a full paper,
ICDL will accept 2-page abstracts. These submissions will NOT be
included in the conference proceedings. Accepted abstracts will be
presented during the evening poster sessions.

Important dates:
** Mar    6,  2010   Full 6-page paper submissions due ** Extended
from Feb 20
May    20,  2010   Notification of accept/reject for papers
May    27,  2010   2-page poster abstracts due
June   10,  2010   Notification of accept/reject for abstracts
June   20,  2010   Camera-Ready Copy due
July   20,  2010   Early Registration Deadline
Aug. 18-21, 2010   Conference

General Chairs:
* Benjamin Kuipers, University of Michigan
* Thomas Shultz, McGill University

Program Chairs:
* Alexander Stoytchev, Iowa State University
* Chen Yu, Indiana University, Bloomington

Publicity chairs:
* Ian Fasel, University of Arizona, USA (for North America)
* Jochen Triesch, Frankfurt Institute for Advanced Studies, Germany
(for Europe)
* Jun Tani, RIKEN, Japan (for Asia).

Sponsored by:
* IEEE Computational Intelligence Society
* Cognitive Science Society

For more information please check the conference web site:
http://www.icdl-2010.org/

Advertisements

One comment

  1. As I see you are mentioning statistical research: I have put one of the most comprehensive link lists for hundreds of thousands of statistical sources and indicators on my blog: Statistics Reference List. And what I find most fascinating is how data can be visualised nowadays with the graphical computing power of modern PCs, as in many of the dozens of examples in these Data Visualisation References. If you miss anything that I might be able to find for you or if you yourself want to share a resource, please leave a comment.

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google+ photo

You are commenting using your Google+ account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s