----------------------------------------------------------- Call for Papers The 2nd International Conference on Development and Learning (ICDL'02) June 12 - 15, 2002 Massachusetts Institute of Technology Sponsored by IEEE Computer Society, IEEE Robotics and Automation Society, and Cognitive Science Society Recent advances in artificial intelligence, cognitive science, neuroscience and robotics have stimulated the birth and growth of a new research field, known as computational autonomous mental development. Although human mental development is a well known subject of study, e.g., in developmental psychology, computational studies of mental development for either machines or humans had not received sufficient attention in the past. Mental development is a process during which a brain-like natural or artificial embodied system, under the control of its intrinsic species-specific developmental program residing in the genes or artificially designed, develops mental capabilities through its autonomous real-time interactions with its environments (including its own internal environment and components) using its own sensors and effectors. The scope of mental development includes cognitive, behavioral, emotional and all other mental capabilities that are exhibited by humans, higher animals and artificial systems. Investigations of the computational mechanisms of mental development are expected to improve our systematic understanding of the working of the wide variety of cognitive and behavioral capabilities in humans and to enable autonomous development of these highly complex capabilities by robots and other artificial systems. ICDL-02 is the first regularly scheduled conference following the very successful Workshop on Development and Learning (WDL), funded by NSF and DARPA, held April 5 - 7, 2000 at Michigan State University (http://www.cse.msu.edu/dl). Some discussion about this new direction is available on the final report page of WDL at http://www.cse.msu.edu/dl/. A brief discussion of the subject is available in an article appeared in Science (http://www.cse.msu.edu/dl/SciencePaper.pdf). The autonomous, real-time, incremental, open-ended, sensor-grounded and effector-grounded operational mode of mental development implies that multiple disciplines of human intelligence and artificial intelligence face many similar research issues. Therefore, this conference series is multidisciplinary in nature, inviting researchers of all related fields including, but not limited to, machine intelligence, machine learning, computer vision, speech recognition, robotics, animal learning, psychology, neuroscience, computational intelligence, and philosophy. Although understanding or realizing fully autonomous mode of mental development is a goal, intermediate results toward this goal are all encouraged. The subjects of the conference include, but not limited to (1) Architecture of mental development (2) Learning techniques that facilitate skill development (3) Development of visual, auditory and other sensory cortices (4) Development of filters and feature detectors (5) Neural plasticity during development (6) Development of value system (7) Development of emotion (8) Development of cognitive system (9) Coordination and integration of behaviors through development (10) Development of attention mechanisms (11) Development of vision system (12) Development of audition system (13) Development of taction system (14) Integration mechanisms through development (15) Computational models of language acquisition through development (16) Generation of representation during development (17) Integrated developmental programs or systems (18) Autonomous thinking behaviors through development (19) Development of consciousness (20) Robot bodies that facilitate autonomous mental development (21) Robots capable of autonomous mental development (22) Robotic techniques for mental development (23) Comparison of approaches to machine intelligence (24) Social and philosophical issues of developmental robots Submission: We plan to publish a hardcopy of the proceedings with attached CD. All the submissions must be in electronic form in MS Word or PS format. The format is specified in http://www.computer.org/cspress/instruct.htm. The latex users can use the latex style http://iris.usc.edu/Information/ieee/latex.html The deadline for the submission is January 20, 2002. Papers: The authors are required to submit (a) a one-page abstract with essential figures and major results for the hardcopy version of the proceedings and (b) a full paper of up to 6 proceeding pages for the CD. Tutorials: For tutorials, submit (a) a tutorial proposal, which consists of three parts: a 300- to 600-word abstract, a tutorial table of content with time of lecture for subject, a 100- to 200-word short biography of the presenters, and (b) a detailed resume of the presenter(s), which should contain supporting background information about the presenter(s). General Co-Chairs: James L. McClelland Center for the Neural Basis of Cognition Carnegie Mellon University Alex P. Pentland The Media Laboratory Massachusetts Institute of Technology Program Co-Chairs: Jeff Elman Department of Cognitive Science University of California at San Diego La Jolla, CA 92093-0515 Mriganka Sur Department of Brain and Cognitive Sciences Massachusetts Institute of Technology Juyang Weng Department of Computer Science and Engineering Michigan State University Tutorial Chair: Sridhar Mahadevan Department of Computer Science University of Massachusetts, Amherst Local Arrangement Chair: Tony Jebara The Media Laboratory Massachusetts Institute of Technology Program Committee Members: Sam S. Adams, IBM Research Narendra Ahuja, University of Illinois, Urbana Ronald Arkin, Georgia Institute of Technology Minoru Asada, Osaka University, Japan Christian Balkenius, Lund University, Sweden Bir Bhanu, University of California, Riverside Carole Beal, University of Massachusetts at Amherst Neil E. Berthier, University of Massachusetts at Amherst Dana H. Ballard, Rochester University Bruce Blumberg, Massachusetts Institute of Technology Cynthia L. Breazeal, Massachusetts Institute of Technology Christopher M. Brown, Rochester University Rama Chellappa, University of Maryland Rachel K. Clifton, University of Massachusetts at Amherst Paul Cohen, University of Massachusetts at Amherst Mario Figueiredo, Technical University of Lisbon, Portugal Kurt Fischer, Harvard Graduate School of Education Stan Franklin, The University of Memphis Douglas Gage, DARPA ITO Stephen Grossberg, Boston University Roderic A. Grupen, University of Massachusetts, Amherst Jianda Han, Michigan State University John M. Henderson, Michigan State University Thomas S. Huang, University of Illinois, Urbana Anil K. Jain, Michigan State University Tianzi Jiang, National Laboratory of Pattern Recognition, China Hideki Kozima, Communications Research Laboratory, Japan Stan Z. Li, Microsoft Research, China Steve Levinson, University of Illinois, Urbana Maja J. Mataric, University of Southern California Michael M. Merzenich, University of California at San Francisco Risto Miikkulainen, The University of Texas at Austin Erkki Oja, Helsinki University of Technology, Finland Rolf Pfeifer, University of Zurich, Switzerland David C. Plaut, Carnegie Mellon University Kim Plunkett, Oxford University, UK Christopher G. Prince, University of Minnesota, Duluth Sarunas Raudys, Institute of Mathematics and Informatics, Lithuania Deb Roy, Massachusetts Institute of Technology Stefan Schaal, University of South California Nestor A. Schmajuk, Duke University Olaf Sporns, Indiana University Ida Stockman, Michigan State University Mark Strauss, University of Pittsburgh Sebastian Thrun, Carnegie Mellon University David Touretzky, Carnegie Mellon University Lide Wu, Fudan University, China Ming Xie, Nanyang Technological University, Singapore Zhengyou Zhang, Microsoft Research, Redmond Jordan Zlatev, Lund University, Sweden ----------------------------------------------------------