[robotics-worldwide] [journals] Extended Deadline CFP Papers Special Issue IEEE TCDS on Language Learning in children and robots

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[robotics-worldwide] [journals] Extended Deadline CFP Papers Special Issue IEEE TCDS on Language Learning in children and robots

Michael Spranger-2
Dear Colleagues,

In collaboration with the IEEE "Transactions on Cognitive and Developmental Systems" journal, we are launching a special issue on Language Learning in Humans and Robots. We encourage all interested researchers to submit their papers.

Since there were many requests, we decided to extend the paper submission deadline to October 31st.

IEEE Transactions on Cognitive and Developmental Systems

Special Issue on Language Learning in Humans and Robots

Call for Papers

Extended Deadline: October 31 2017
Children acquire language by interacting with their caregivers and others in their social environment. When children start to talk, their sensory-motor intelligence (visual perception, body movement, navigation, object manipulation, auditory perception and articulatory control) is already reaching a high level of competence. Importantly, communication is based on representations and skills that have started to develop much earlier and that are shaped already in first (social) interactions. These interactions are multimodal in nature and vary across contexts. The contexts vary not only across developmental time and situations within individuals, but also between individuals, socio-economic groups and cultures. Continuously, representations become further enriched in ongoing interactions and across different contexts.

Even though there are various efforts in developmental robotics to model communication, the emergence of symbolic communication is still an unsolved problem. We are still lacking convincing theories and implementations that show how cooperation and interaction skills could emerge in long-term experiments with populations of robotic agents or how these skills develop in children. Importantly, the continuous acquisition of knowledge in different contexts and being able to further enrich the underlying representations provides a potential powerful mechanism (cross-situational learning), which is already well recognized in learning in children. Still, we need to know more about how children recognize contexts and how their language learning benefits from different language use varying across contexts.
This special issue aims at surveying the state of the art of the emergence of communication which requires combining and integrating knowledge from diverse disciplines: developmental psychology, robotics, artificial language evolution, complex systems science, computational linguistics and machine learning. Topics relevant to this special issue include, but are not limited to
        - Psychological experiments on language learning in children
        - Corpus-based approaches to language acquisition
        - Language learning models for all stages of acquisition (gesture learning, early lexicon and grammar)
        - Representations for language learning (sensorimotor schemas, constructions, neural networks, mirror neurons)
        - Cognitive architectures and strategies for language learning
        - Cross-situational learning
        - Language acquisition and development of self-awareness
        - Role of context in language learning
        - Role of embodiment in language learning
        - Role of multimodality (gesture, gaze etc) in language learning
        - Role of social interaction and joint attention
        - Co-development of skills, e.g. motor and language skills;
          integration of natural language grounding into perception-action cycles
        - Connection with cultural and biological evolution of language
Manuscripts should be prepared according to the "Information for Authors" of the journal found at
https://urldefense.proofpoint.com/v2/url?u=http-3A__cis.ieee.org_publications.html&d=DwIFAg&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=JNcRs5VjafNOG2wKuYSPd18w668Ov5AHkoKdLDWy9L8&s=gxqBbfDy15QDCdjPAwali8jt160C1jJB3EHhAU8JfKc&e= and submissions should be done through the IEEE TCDS Manuscript center: https://urldefense.proofpoint.com/v2/url?u=https-3A__mc.manuscriptcentral.com_tcds-2Dieee&d=DwIFAg&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=JNcRs5VjafNOG2wKuYSPd18w668Ov5AHkoKdLDWy9L8&s=GpKuDx1Q2xSigAPGZh7wrg8PqEYJMG9HuOgMxo11iGk&e= and please select the category "SI: Language Learning".
31. October 2017 - Deadline for manuscript submissions
Publication is targeted for early 2018.

For further information, please contact Malte Schilling (mschilli at techfak dot uni-bielefeld dot de) or Michael Spranger (michael dot spranger at gmail dot com) and see the website for the special issue https://urldefense.proofpoint.com/v2/url?u=https-3A__sites.google.com_view_tcds2017language&d=DwIFAg&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=JNcRs5VjafNOG2wKuYSPd18w668Ov5AHkoKdLDWy9L8&s=KfRFXfP1dN8nhUJz37ZjngJ_feF2xH4jcO_Kv_mDcIw&e=

Prof. Chen Yu, Indiana University, United States
Prof. Katharina Rohlfing, Paderborn University, Germany
Dr. Malte Schilling (corresponding guest editor), CITEC, Bielefeld, Germany
Dr. Michael Spranger (corresponding guest editor), Sony Computer Science Laboratories Inc. Tokyo, Japan
Dr. Paul Vogt, Tilburg University, The Netherlands

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