Abstract is missing.
- Invited speakers: Riding the Wave: Event processing as predictability monitoringDare Baldwin. [doi]
- A neural network model of curiosity-driven infant categorizationKatherine E. Twomey, Gert Westermann. 1-6 [doi]
- Bootstrapping interactions with objects from raw sensorimotor data: A novelty search based approachCarlos Maestre, Antoine Cully, Christophe Gonzales, Stéphane Doncieux. 7-12 [doi]
- Exploration strategies for incremental learning of object-based visual saliencyCéline Craye, David Filliat, Jean-Francois Goudou. 13-18 [doi]
- What accounts for developmental shifts in optic flow sensitivity?Rick O. Gilmore, Florian Raudies, Swapnaa Jayaraman. 19-25 [doi]
- Modeling infant visual preference as perceptual oscillationBenjamin Balas, Lisa M. Oakes. 26-32 [doi]
- The role of contrast sensitivity in the development of binocular vision: A computational studyAlexander Priamikov, Vikram Narayan, Bertram E. Shi, Jochen Triesch. 33-38 [doi]
- The sequential organization of movement is critical to the development of reaching: A neural dynamics accountStephan K. U. Zibner, Jan Tekulve, Gregor Schöner. 39-46 [doi]
- Babybot challenge: Motor skillsPatricia Shaw, Daniel Lewkowicz, Alexandros Giagkos, James Law, Suresh Kumar, Mark H. Lee, Qiang Shen. 47-54 [doi]
- U-shaped motor development emerges from Goal Babbling with intrinsic motor noiseKenichi Narioka, Jochen J. Steil. 55-62 [doi]
- Motor experience alters action perception through predictive learning of sensorimotor informationJimmy Baraglia, Jorge Luis Copete, Yukie Nagai, Minoru Asada. 63-69 [doi]
- Using spatial representations in gesture to facilitate early word learning: A priming process modelJ. Gregory Trafton, Anthony M. Harrison, Wallace E. Lawson. 70-77 [doi]
- Cross-domain and within-domain synaptic maintenance for autonomous development of visual areasQian Guo, Xiaofeng Wu, Juyang Weng. 78-83 [doi]
- Use of speech and motion cues for bootstrapping complex action learning in iCubEmre Ugur, Jimmy Baraglia, Lars Schillingmann, Yukie Nagai. 84-85 [doi]
- Effect of exploratory perturbation on the formation of kinematic synergies in Goal BabblingKenichi Narioka, René Felix Reinhart, Jochen Jakob Steil. 86-91 [doi]
- A learning model for essentialist conceptsIris Oved, Shaun Nichols, David Barner. 92-97 [doi]
- Active maintenance of binocular correspondence leads to orientation alignment of visual receptive fieldsThusitha N. Chandrapala, Bertram E. Shi, Jochen Triesch. 98-103 [doi]
- Mastering human-robot interaction control techniques using Chinese Tai Chi Chuan: Mutual learning, intention detection, impedance adaptation, and force borrowingKer-Jiun Wang, Mingui Sun, Lan Zhang, Zhi-Hong Mao. 104-105 [doi]
- Infants gaze pattern analyzing using contrast entropy minimizationAli Mahdi, Matthew Schlesinger, Dima Amso, Jun Qin. 106-111 [doi]
- To hear and to hold: Maternal naming and infant object explorationLucas Chang, Kaya de Barbaro, Gedeon O. Deák. 112-113 [doi]
- The developing sense of agency: Implications from cognitive phenomenologyLorijn Zaadnoordijk, Sabine Hunnius, Marlene Meyer, Johan Kwisthout, Iris van Rooij. 114-115 [doi]
- Reinforcement learning and instance-based learning approaches to modeling human decision making in a prognostic foraging taskSuhas E. Chelian, Jaehyon Paik, Peter Pirolli, Christian Lebiere, Rajan Bhattacharyya. 116-122 [doi]
- Representations of body schemas for infant robot developmentPatricia Shaw, James Law, Mark H. Lee. 123-128 [doi]
- Cross-situational noun and adjective learning in an interactive scenarioYuxin Chen, David Filliat. 129-134 [doi]
- Diversity-driven selection of exploration strategies in multi-armed banditsFabien C. Y. Benureau, Pierre-Yves Oudeyer. 135-142 [doi]
- The SB-ST decomposition in the study of Developmental Coordination DisorderLeonardo Claudino, Jane E. Clark, Yiannis Aloimonos. 143-149 [doi]
- Robotic framework with multi-modal perception for physio-musical interactive therapy for children with autismChung Hyuk Park, Myounghoon Jeon, Ayanna M. Howard. 150-151 [doi]
- Developing neural networks with neurons competing for survivalZhen Peng, Daniel A. Braun. 152-153 [doi]
- The neural dynamics of goal-directed arm movements: A developmental perspectiveStephan K. U. Zibner, Jan Tekulve, Gregor Schöner. 154-161 [doi]
- Do infants' gaze sequences predict their looking time? Testing the sequential-learnability modelMatthew Schlesinger, Scott P. Johnson, Dima Amso. 162-167 [doi]
- Goal-directed learning of hand-eye coordination in a humanoid robotMathias Schmerling, Guido Schillaci, Verena V. Hafner. 168-175 [doi]
- Development of compositional and contextual communication of robots by using the multiple timescales dynamic neural networkGibeom Park, Jun Tani. 176-181 [doi]
- When and where do infants follow gaze?Gedeon O. Deak. 182-187 [doi]
- Autonomous development of turn-taking behaviors in agent populations: A computational studyClement Moulin-Frier, Martí Sánchez-Fibla, Paul F. M. J. Verschure. 188-195 [doi]
- Incremental grounded language learning in robot-robot interactions - Examples from spatial languageMichael Spranger. 196-201 [doi]
- The effects of learning and retrieval contexts on cross-situational word learningChi-hsin Chen, Chen Yu. 202-207 [doi]
- Seeing [u] aids vocal learning: Babbling and imitation of vowels using a 3D vocal tract model, reinforcement learning, and reservoir computingMax Murakami, Bernd J. Kröger, Peter Birkholz, Jochen Triesch. 208-213 [doi]
- Enhancing agent safety through autonomous environment adaptationBenjamin Rosman, Bradley Hayes, Brian Scassellati. 214-219 [doi]
- Active learning strategies and active control of complexity growth in naming gamesWilliam Schueller, Pierre-Yves Oudeyer. 220-227 [doi]
- Active learning of local predictable representations with artificial curiosityMathieu Lefort, Alexander Gepperth. 228-233 [doi]
- Towards hierarchical curiosity-driven exploration of sensorimotor modelsSébastien Forestier, Pierre-Yves Oudeyer. 234-235 [doi]
- The dynamics of idealized attention in complex learning environmentsMadeline Pelz, Steven T. Piantadosi, Celeste Kidd. 236-241 [doi]
- A generative-discriminative learning model for noisy information fusionThomas Hecht, Alexander Gepperth. 242-247 [doi]
- COSMO, a Bayesian computational model of speech communication: Assessing the role of sensory vs. motor knowledge in speech perceptionMarie-Lou Barnaud, Julien Diard, Pierre Bessière, Jean-Luc Schwartz. 248-249 [doi]
- A neurorobotic model of learning to shake a rattleForrest Yeh, Anne S. Warlaumont, Yangquan Chen, Timothy M. Shea, Brandon Stark. 250-251 [doi]
- Learning to pick up objects through active explorationJohn Oberlin, Stefanie Tellex. 252-253 [doi]
- Which criteria for autonomously shifting between goal-directed and habitual behaviors in robots?Erwan Renaudo, Benoît Girard, Raja Chatila, Mehdi Khamassi. 254-260 [doi]
- Biological and simulated neuronal networks show similar competence on a visual tracking taskAbraham Shultz, Sangmook Lee, Thomas B. Shea, Holly A. Yanco. 261-266 [doi]
- Comparison of absolute and relative strategies to encode sensorimotor transformations in tool-useRaphael Braud, Alexandre Pitti, Philippe Gaussier. 267-268 [doi]
- Biologically inspired incremental learning for high-dimensional spacesAlexander Gepperth, Thomas Hecht, Mathieu Lefort, Ursula Körner. 269-275 [doi]
- Grounding object perception in a naive agent's sensorimotor experienceAlban Laflaquière, Nikolas Hemion. 276-282 [doi]
- First steps towards the development of the sense of object permanence in robotsSarah Bechtle, Guido Schillaci, Verena V. Hafner. 283-284 [doi]
- Adaptive joint trajectory generator based on a chaotic recurrent neural networkMichele Folgheraiter, Nazgul Tazhigaliyeva, Aibek Niyetkaliyev. 285-290 [doi]
- A biologically inspired approach to learning spatio-temporal patternsBanafsheh Rekabdar, Monica N. Nicolescu, Mircea Nicolescu, Richard Kelley. 291-297 [doi]
- A Bayesian approach towards affordance learning in artificial agentsFrancesca Stramandinoli, Vadim Tikhanoff, Ugo Pattacini, Francesco Nori. 298-299 [doi]
- Cognitive robotics for the modelling of cognitive dysfunctions: A study on unilateral spatial neglectDaniela Conti, Santo Di Nuovo, Alessandro G. Di Nuovo. 300-301 [doi]
- Predictive learning with uncertainty estimation for modeling infants' cognitive development with caregivers: A neurorobotics experimentShingo Murata, Saki Tomioka, Ryoichi Nakajo, Tatsuro Yamada, Hiroaki Arie, Tetsuya Ogata, Shigeki Sugano. 302-307 [doi]
- The development of cooperation in evolving populations through social importancePedro Sequeira, Samuel Mascarenhas, Francisco S. Melo, Ana Paiva. 308-313 [doi]
- Designing a socially assistive robot for personalized number concepts learning in preschool childrenCaitlyn Clabaugh, Gisele Ragusa, Fei Sha, Maja J. Mataric. 314-319 [doi]
- A Deep Learning Neural Network for Number Cognition: A bi-cultural study with the iCubAlessandro G. Di Nuovo, Vivian M. De La Cruz, Angelo Cangelosi. 320-325 [doi]
- Acquisition of viewpoint representation in imitative learning from own sensory-motor experiencesRyoichi Nakajo, Shingo Murata, Hiroaki Arie, Tetsuya Ogata. 326-331 [doi]
- What are goals? And if so, how many?Matthias Rolf, Minoru Asada. 332-339 [doi]