IEEE Transactions on Cognitive and Developmental Systems; Volume 13, Number 2, June 2021

 1. Guest Editorial Special Issue on Continual Unsupervised Sensorimotor Learning
Author(s): Nicolás Navarro-Guerrero;Sao Mai Nguyen;Erhan Oztop;Junpei Zhong

Pages: 234 - 238

2. CLIC: Curriculum Learning and Imitation for Object Control in Nonrewarding Environments
Author(s): Pierre Fournier;Cédric Colas;Mohamed Chetouani;Olivier Sigaud
Pages: 239 - 248

3. BND*-DDQN: Learn to Steer Autonomously Through Deep Reinforcement Learning
Author(s): Keyu Wu;Han Wang;Mahdi Abolfazli Esfahani;Shenghai Yuan
Pages: 249 - 261

4. Intrinsically Motivated Hierarchical Policy Learning in Multiobjective Markov Decision Processes
Author(s): Sherif Abdelfattah;Kathryn Merrick;Jiankun Hu
Pages: 262 - 273

5. Open-Ended Continuous Learning of Compound Goals
Author(s): Paresh Dhakan;Kathryn Kasmarik;Iñaki Rañó;Nazmul Siddique
Pages: 274 - 285

6. Effect Regulated Projection of Robot’s Action Space for Production and Prediction of Manipulation Primitives Through Learning Progress and Predictability-Based Exploration
Author(s): Serkan Bugur;Erhan Oztop;Yukie Nagai;Emre Ugur
Pages: 286 - 297

7. Autonomous Identification and Goal-Directed Invocation of Event-Predictive Behavioral Primitives
Author(s): Christian Gumbsch;Martin V. Butz;Georg Martius
Pages: 298 - 311

8. Where Do I Move My Sensors? Emergence of a Topological Representation of Sensors Poses From the Sensorimotor Flow
Author(s): Valentin Marcel;Sylvain Argentieri;Bruno Gas
Pages: 312 - 325

9. Vocal Imitation in Sensorimotor Learning Models: A Comparative Review
Author(s): Silvia Pagliarini;Arthur Leblois;Xavier Hinaut
Pages: 326 - 342

10. Speech Emotion Recognition Based on Robust Discriminative Sparse Regression
Author(s): Peng Song;Wenming Zheng;Yanwei Yu;Shifeng Ou
Pages: 343 - 353

11. A Novel Bi-Hemispheric Discrepancy Model for EEG Emotion Recognition
Author(s): Yang Li;Lei Wang;Wenming Zheng;Yuan Zong;Lei Qi;Zhen Cui;Tong Zhang;Tengfei Song
Pages: 354 - 367

12. Epileptic Signal Classification Based on Synthetic Minority Oversampling and Blending Algorithm
Author(s): Dinghan Hu;Jiuwen Cao;Xiaoping Lai;Junbiao Liu;Shuang Wang;Yao Ding
Pages: 368 - 382

13. Reconfiguration of Brain Network Between Resting State and P300 Task
Author(s): Fali Li;Chanlin Yi;Yuanyuan Liao;Yuanling Jiang;Yajing Si;Limeng Song;Tao Zhang;Dezhong Yao;Yangsong Zhang;Zehong Cao;Peng Xu
Pages: 383 - 390

14. A Novel Grip Force Cognition Scheme for Robot-Assisted Minimally Invasive Surgery
Author(s): Yongchen Guo;Bo Pan;Yili Fu;Max Q.-H. Meng
Pages: 391 - 402

15. Investigation of Local White Matter Properties in Professional Chess Player: A Diffusion Magnetic Resonance Imaging Study Based on Automatic Annotation Fiber Clustering
Author(s): Yuanjing Feng;Jiahao Song;Wenxuan Yan;Jingqiang Wang;Changchen Zhao;Qingrun Zeng
Pages: 403 - 415

16. Robot Multimodal Object Perception and Recognition: Synthetic Maturation of Sensorimotor Learning in Embodied Systems
Author(s): Raphaël Braud;Alexandros Giagkos;Patricia Shaw;Mark Lee;Qiang Shen
Pages: 416 - 428

17. A Hippocampal–Entorhinal System Inspired Model for Visual Concept Representation
Author(s): Huankun Sheng;Hongwei Mo;Christian-Marie Moanda Ndeko Mosengo
Pages: 429 - 441

Call for Papers
IEEE Transactions on Cognitive and Developmental Systems Special Issue on Prediction and Perception in Humans and Robots
Pages: 442 - 442

IEEE Transactions on Autonomous Mental Development, Volume , Issue 2, June 2015

1. Sparsity-Constrained fMRI Decoding of Visual Saliency in Naturalistic Video Streams
Author(s): Xintao Hu ; Cheng Lv ; Gong Cheng ; Jinglei Lv ; Lei Guo ; Junwei Han ; Tianming Liu
Page(s): 65 - 75

2. Motor-Primed Visual Attention for Humanoid Robots
Author(s): Lukic, L. ; Billard, A. ; Santos-Victor, J.
Page(s): 76 - 91

3. A Probabilistic Concept Web on a Humanoid Robot
Author(s): Celikkanat, H. ; Orhan, G. ; Kalkan, S.
Page(s): 92 - 106

4. Action Priors for Learning Domain Invariances
Author(s): Rosman, B. ; Ramamoorthy, S.
Page(s): 107 - 118

5. Staged Development of Robot Skills: Behavior Formation, Affordance Learning and Imitation with Motionese
Author(s): Ugur, E. ; Nagai, Y. ; Sahin, E. ; Oztop, E.
Page(s): 119 - 139

6. Structural Bootstrapping—A Novel, Generative Mechanism for Faster and More Efficient Acquisition of Action-Knowledge
Author(s): Worgotter, F. ; Geib, C. ; Tamosiunaite, M. ; Aksoy, E.E. ; Piater, J. ; Hanchen Xiong ; Ude, A. ; Nemec, B. ; Kraft, D. ; Kruger, N. ; Wachter, M. ; Asfour, T.
Page(s): 140 - 154

IEEE Transactions on Autonomous Mental Development, Volume 7, Number 1, March 2015

1. Editorial IEEE Transactions on Autonomous Mental Development
Author(s): Cangelosi, A
Page(s): 1 - 2

2. Ecological Active Vision: Four Bioinspired Principles to Integrate Bottom–Up and Adaptive Top–Down Attention Tested With a Simple Camera-Arm Robot
Author(s): Ognibene, D. ; Baldassare, G.
Page(s): 3 - 25

3. A Simplified Cerebellar Model with Priority-based Delayed Eligibility Trace Learning for Motor Control
Author(s): Shim, V.A. ; Ranjit, C.S.N. ; Bo Tian ; Miaolong Yuan ; Huajin Tang
Page(s): 26 - 38

4. Mental States, EEG Manifestations, and Mentally Emulated Digital Circuits for Brain-Robot Interaction
Author(s): Bozinovski, S. ; Bozinovski, A.
Page(s): 39 - 51

5. Can Real-Time, Adaptive Human–Robot Motor Coordination Improve Humans’ Overall Perception of a Robot?
Author(s): Qiming Shen ; Dautenhahn, K. ; Saunders, J. ; Kose, H.
Page(s): 52 - 64

IEEE Transactions on Autonomous Mental Development: Volume 6, Number 4, December 2014

1. Editorial: Renewal for the IEEE Transactions on Autonomous Mental Development
Author(s): Z. Zhang
Pages: 241-242

2. The Fourth IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EpiRob)2014: Conference Summary and Report
Author(s): G. Metta, L. Natale, and M. Lee
Pages: 243
a
3. Learning from Demonstration in Robots using the Shared Circuits Model
Author(s): K. M. U. Suleman and M. M. Awais
Pages: 244-258

4. A Hierarchical System for a Distributed Representation of the Peripersonal Space of a Humanoid Robot
Author(s): M. Antonelli, A. Gibaldi, F. Beuth, A. J. Duran, A. Canessa, M. Chessa, F. Solari, A. P. del Pobil, F. Hamker, E. Chinellato, and S. P. Sabatini
Pages: 259-273

5. A Wearable Camera Detects Gaze Peculiarities during Social Interactions in Young Children with PervasiveDevelopmental Disorders
Author(s): S. Magrelli, B. Noris, P. Jermann, F. Ansermet, F. Hentsch, J. Nadel, and A. G. Billard
Pages: 274-285

6. Optimal Rewards for Cooperative Agents
Author(s): B. Liu, S. Singh, R. L. Lewis, and S. Qin
Pages: 286-297

IEEE Transactions on Neural Networks and Learning Systems, Volume 25, Number 12, December 2014

1. Adaptive Neural Control for a Class of Nonlinear Time-Varying Delay Systems With Unknown Hysteresis
Author(s): Liu, Z. ; Lai, G. ; Zhang, Y. ; Chen, X. ; Chen, C.L.P.
Page(s): 2129 - 2140

2. Optimal Control for Unknown Discrete-Time Nonlinear Markov Jump Systems Using Adaptive Dynamic Programming
Author(s): Zhong, X. ; He, H. ; Zhang, H. ; Wang, Z.
Page(s): 2141 - 2155

3. A Novel Estimation Algorithm Based on Data and Low-Order Models for Virtual Unmodeled Dynamics
Author(s): Zhang, Y. ; Chai, T. ; Sun, J. ; Chen, X. ; Wang, H.
Page(s): 2156 - 2166

4. Structure-Constrained Low-Rank Representation
Author(s): Tang, K. ; Liu, R. ; Su, Z. ; Zhang, J.
Page(s): 2167 - 2179

5. Exponential Stabilization for Sampled-Data Neural-Network-Based Control Systems
Author(s): Wu, Z. ; Shi, P. ; Su, H. ; Chu, J.
Page(s): 2180 - 2190

6. Learning Regularized LDA by Clustering
Author(s): Pang, Y. ; Wang, S. ; Yuan, Y.
Page(s): 2191 - 2201

7. A Deep Connection Between the Vapnik–Chervonenkis Entropy and the Rademacher Complexity
Author(s): Anguita, D. ; Ghio, A. ; Oneto, L. ; Ridella, S.
Page(s): 2202 - 2211

8. Learning Deep Hierarchical Visual Feature Coding
Author(s): Goh, H. ; Thome, N. ; Cord, M. ; Lim, J.
Page(s): 2212 - 2225

9. A Parsimonious Mixture of Gaussian Trees Model for Oversampling in Imbalanced and Multimodal Time-Series Classification
Author(s): Cao, H. ; Tan, V.Y.F. ; Pang, J.Z.F.
Page(s): 2226 - 2239

10. Semi-supervised Domain Adaptation on Manifolds
Author(s): Cheng, L. ; Pan, S.J.
Page(s): 2240 - 2249

11. Real-Time Gesture Interface Based on Event-Driven Processing From Stereo Silicon Retinas
Author(s): Lee, J.H. ; Delbruck, T. ; Pfeiffer, M. ; Park, P.K.J. ; Shin, C. ; Ryu, H. ; Kang, B.C.
Page(s): 2250 - 2263

12. Adaptive Neural PD Control With Semiglobal Asymptotic Stabilization Guarantee
Author(s): Pan, Y. ; Yu, H. ; Er, M.J.
Page(s): 2264 - 2274

13. Mandatory Leaf Node Prediction in Hierarchical Multilabel Classification
Author(s): Bi, W. ; Kwok, J.T.
Page(s): 2275 - 2287

14. Synchronization in an Array of Output-Coupled Boolean Networks With Time Delay
Author(s): Zhong, J. ; Lu, J. ; Liu, Y. ; Cao, J.
Page(s): 2288 - 2294

15. Hybrid Manifold Embedding
Author(s): Liu, Y. ; Liu, Y. ; Chan, K.C.C. ; Hua, K.A.
Page(s): 2295 - 2302

16. Learning Deep and Wide: A Spectral Method for Learning Deep Networks
Author(s): Shao, L. ; Wu, D. ; Li, X.
Page(s): 2303 - 2308

17. On the Additive Properties of the Fat-Shattering Dimension
Author(s): Asor, O. ; Duan, H.H. ; Kontorovich, A.
Page(s): 2309 - 2312

IEEE TNNLS Special issue on “Neurodynamic Systems for Optimization and Applications”

Recurrent neural networks, as dynamical systems, are usually used as models for solving computationally intensive problems. Because of their inherent nature of parallel and distributed information processing, recurrent neural networks are promising computational models for real-time applications. Constrained optimization problems arise in a wide variety of scientific and engineering applications, including signal and image processing, system identification, robot control, process control, pattern recognition, etc. Since the Hopfield neural network was introduced for solving optimization problems, significant progress has been made in theory, algorithms and applications. A number of neurodynamic models have been proposed for solving different problems ranging from discrete optimization to continuous optimization, linear programming to nonlinear optimization, convex optimization to non-convex optimization, smooth optimization to non-smooth optimization, numerical software to analog hardware implementations, etc. Some of them have been successfully applied to robot control, process control, signal and image processing, pattern recognition and classification, economic prediction and so on. In addition, as a kind of neuromorphic systems, they are potentially useful for simulating the brain functions, which is an important topic in neuroscience.

The objective of this special issue is to bring together recent advances in the field of neurodynamic systems for solving optimization problems. We invite original and unpublished research contributions in all relevant areas. We will encourage submissions of papers with new models and applications which would further promote research activities in this area.

Topics of interest include, but are not limited to:

• Neurodynamic models for constrained optimization
• Neurodynamic models for multi-objective optimization
• Neurodynamic models for large-scale optimization problems
• Neurodynamic models for deep learning
• Neurodynamic models for optimal control
• Neurodynamic models for tensor decomposition
• Analysis of neurodynamic optimization systems
• Neurodynamic optimization in the brain
• Neurodynamic optimization for process control
• Neurodynamic optimization for robot control
• Neurodynamic optimization for biomedical engineering problems
• Neurodynamic optimization for signal processing
• Neurodynamic optimization for image processing
• Neurodynamic optimization for support vector machine learning
• Neurodynamic optimization for pattern recognition
• Neurodynamic optimization for other applications

IMPORTANT DATES

Aug. 15, 2014 – Deadline for manuscript submission
Dec. 31, 2014 – Notification to authors
Feb. 15, 2015 – Deadline for submission of revised manuscripts
Mar.1, 2015 – Final decision
May/June 2015 – Special issue publication in the IEEE TNNLS.

SUBMISSION INSTRUCTIONS

1. Read the information for authors at http://cis.ieee.org/tnnls
2. Submit the manuscript by August 15, 2014 at the IEEE-TNNLS webpage http://mc.manuscriptcentral.com/tnnls and follow the submission procedure. Please indicate clearly on the first page of the manuscript and the Author’s Cover Letter that the manuscript has been submitted to the Special Issue on Neurodynamic Systems for Optimization and Applications. Send also an e-mail to chenglong@compsys.ia.ac.cn with subject “TNNLS special issue submission” to notify the editors of your submission.

GUEST EDITORS

Zhigang Zeng
Huazhong University of Science and Technology, China
zgzeng@hust.edu.cn
http://auto.hust.edu.cn/zhigangzeng/

Andrzej Cichocki
Brain Science Institute, RIKEN, Japan
cia@braiin.riken.jp
http://www.bsp.brain.riken.jp/~cia/

Long Cheng
Institute of Automation, Chinese Academy of Sciences, China
long.cheng@ia.ac.cn
http://compsys.ia.ac.cn/~chenglong

Yousheng Xia
Fuzhou University, China
ysxia@fzu.edu.cn
http://cmcs.fzu.edu.cn/action-model-name-teacher-itemid-34

Xiaolin Hu
Tsinghua University, China
xlhu@tsinghua.edu.cn
www.xlhu.cn

IEEE Transactions on Autonomous Mental Development, Volume 6, Number 1, March 2014

1. An Approach to Subjective Computing: A Robot That Learns From Interaction With Humans
Author(s): P. Grüneberg and K. Suzuki
Pages: 5-18

2. LIDA: A Systems-level Architecture for Cognition, Emotion, and Learning
Author(s): S. Franklin, T. Madl, S. D’Mello, and J. Snaider
Pages: 19-41

3. Development of First Social Referencing Skills: Emotional Interaction as a Way to Regulate Robot Behavior
Author(s): S. Boucenna, P. Gaussier, and L. Hafemeister
Pages: 42-55

4. Object Learning Through Active Exploration
Author(s): S. Ivaldi, S. M. Nguyen, N. Lyubova, A. Droniou, V. Padois, D. Filliat, P.-Y. Oudeyer, and O. Sigaud
Pages: 56-72

5. Erratum to "Modeling Cross-Modal Interactions in EarlyWord Learning"
Pages: 73

IEEE Transactions on Autonomous Mental Development, Volume 5, Number 4, December 2013

1. Computational Audiovisual Scene Analysis in Online Adaptation of Audio-Motor Maps
Author(s): Yan, R. ; Rodemann, T. ; Wrede, B.
Pages: 273-287

2. Modeling Cross-Modal Interactions in Early Word Learning
Author(s): Althaus, N. ; Mareschal, D.
Pages: 288-297

3. Learning to Reproduce Fluctuating Time Series by Inferring Their Time-Dependent Stochastic Properties: Application in Robot Learning Via Tutoring
Author(s): Murata, S. ; Namikawa, J. ; Arie, H. ; Sugano, S. ; Tani, J.
Pages: 298-310

4. Conceptual Imitation Learning Based on Perceptual and Functional Characteristics of Action
Author(s): Hajimirsadeghi, H. ; Ahmadabadi, M.N. ; Araabi, B.N.
Pages: 311-325

5. A Robotic Model of Reaching and Grasping Development
Author(s): Savastano, P. ; Nolfi, S.
Pages: 326-337

IEEE Transactions on Autonomous Mental Development: Volume 5, Issue 3, 2013

1. GUEST EDITORIAL: Microdynamics of Interaction: Capturing and Modeling Infants’ Social Learning
Author(s): K. J. Rohlfing and G. O. Deák
Pages: 189-191

2. Mothers’ infant-directed gaze during object demonstration highlights action boundaries and goals
Author(s): R. J. Brand, E. Hollenbeck, and J. F. Kominsky
Pages: 192-201

3. From Action to Interaction: Infant Object Exploration and Mothers’ Contingent Responsiveness
Author(s): C. S. Tamis-LeMonda, Y. Kuchirko, and L. Tafuro
Pages: 202-209

4. Young Children’s Dialogical Actions: The Beginnings of Purposeful Intersubjectivity
Author(s): J. Rączaszek-Leonardi, I. Nomikou, and K.J.Rohlfing
Pages: 210-221

5. From Language to Motor Gavagai: Unified Imitation Learning of Multiple Linguistic and Nonlinguistic Sensorimotor Skills
Author(s): T. Cederborg and P.-Y. Oudeyer
Pages: 222-239

6. Supporting Early Vocabulary Development: What Sort of Responsiveness Matters?
Author(s): M. L. McGillion, J. S. Herbert, J. M. Pine, T. Keren-Portnoy, M. M. Vihman, and D. E. Matthews
Pages: 240-248

7. SEED Framework of Early Language Development: The Dynamic Coupling of Infant–Caregiver Perceiving and Acting Forms a Continuous Loop during Interaction
Author(s): P. Zukow-Goldring and N. d. V. Rader
Pages: 249-257

8. Methodological Considerations For Investigating the Microdynamics of Social Interaction Development
Author(s): K. de Barbaro, C. M. Johnson, D. Forster, and G. O. Deák
Pages: 258

IEEE Transactions on Autonomous Mental Development: Volume 5, Issue 2, 2013

1. Brain-Like Emergent Temporal Processing: Emergent Open States
Author(s): Juyang Weng ; Luciw, M.D. ; Qi Zhang
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6504480

2. A Simple Ontology of Manipulation Actions Based on Hand-Object Relations
Author(s): Worgotter, F. ; Aksoy, E.E. ; Kruger, N. ; Piater, J. ; Ude, A. ; Tamosiunaite, M.
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6493410

3. An Autonomous Social Robot in Fear
Author(s): Castro-Gonzalez, A. ; Malfaz, M. ; Salichs, M.A.
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6493412

4. Adaptability of Tacit Learning in Bipedal Locomotion
Author(s): Shimoda, S. ; Yoshihara, Y. ; Kimura, H.
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6491448

5. Reaching for the Unreachable: Reorganization of Reaching with Walking
Author(s): Grzyb, B.J. ; Smith, L.B. ; del Pobil, A.P.
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6493413

6. Redundant Neural Vision Systems—Competing for Collision Recognition Roles
Author(s): Shigang Yue ; Rind, F.C.
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6491449

IEEE Transactions on Autonomous Mental Development: Volume 4, Issue 4

1. A Unified Account of Gaze Following
Authors: Jasso, H.; Triesch, J.; Deák, G.; Lewis, J.M.
Page(s): 257 - 272
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6243178

2. A Developmental Approach to Structural Self-Organization in Reservoir Computing
Authors: Jun Yin; Yan Meng; Yaochu Jin
Page(s): 273 - 289
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6122492

3. Predicting Visual Stimuli From Self-Induced Actions: An Adaptive Model of a Corollary Discharge Circuit
Authors: Ruesch, J.; Ferreira, R.; Bernardino, A.
Page(s): 290 - 304
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6202677

4. Human-Recognizable Robotic Gestures
Authors: Cabibihan, J.; Wing-Chee So; Pramanik, S.
Page(s): 305 - 314
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6246674

5. Intrinsic Motivation and Introspection in Reinforcement Learning
Authors: Merrick, K.E.
Page(s): 315 - 329
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6239563

6. Model-Free Reinforcement Learning of Impedance Control in Stochastic Environments
Authors: Stulp, F.; Buchli, J.; Ellmer, A.; Mistry, M.; Theodorou, E.A.; Schaal, S.
Page(s): 330 - 341
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6227337

IEEE Transactions on Autonomous Mental Development: Volume 4, Issue 2, 2012

1. The “Interaction Engine”: A Common Pragmatic Competence Across Linguistic and Nonlinguistic Interactions
Pezzulo, G.
Page(s): 105 - 123
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6006515

2. Interactive Learning in Continuous Multimodal Space: A Bayesian Approach to Action-Based Soft Partitioning and Learning
Firouzi, H.; Ahmadabadi, M.N.; Araabi, B.N.; Amizadeh, S.; Mirian, M.S.; Siegwart, R.
Page(s): 124 - 138
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6032073

3. Tool–Body Assimilation of Humanoid Robot Using a Neurodynamical System
Nishide, S.; Tani, J.; Takahashi, T.; Okuno, H.G.; Ogata, T.
Page(s): 139 - 149
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6095595

4. Are Robots Appropriate for Troublesome and Communicative Tasks in a City Environment?
Hayashi, K.; Shiomi, M.; Kanda, T.; Hagita, N.
Page(s): 150 - 160
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6111246

5. Brain-Like Emergent Spatial Processing
Juyang Weng; Luciw, M.
Page(s): 161 - 185
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6095596

IEEE Transactions on Autonomous Mental Development, Vol.4, No.1, March 2012

1. Episodic-Like Memory for Cognitive Robots
Stachowicz, D.; Kruijff, G.M.
Page(s): 1-16
Digital Object Identifier: 10.1109/TAMD.2011.2159004
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5871687

2. A Model to Explain the Emergence of Imitation Development Based on Predictability Preference
Minato, T.; Thomas, D.; Yoshikawa, Y.; Ishiguro, H.
Page(s): 17-28
Digital Object Identifier: 10.1109/TAMD.2011.2158098
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5782935

3. Symbolic Models and Emergent Models: A Review
Juyang Weng
Page(s): 29-53
Digital Object Identifier: 10.1109/TAMD.2011.2159113
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5872008

4. A Behavior-Grounded Approach to Forming Object Categories: Separating Containers From Noncontainers
Griffith, S.; Sinapov, J.; Sukhoy, V.; Stoytchev, A.
Page(s): 54-69
Digital Object Identifier: 10.1109/TAMD.2011.2157504
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5778950

5. Autonomous Learning of High-Level States and Actions in Continuous Environments
Mugan, J.; Kuipers, B.
Page(s): 70-86
Digital Object Identifier: 10.1109/TAMD.2011.2160943
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5936108

6. A Goal-Directed Visual Perception System Using Object-Based Top-Down Attention
Yuanlong Yu; Mann, G.K.I.; Gosine, R.G.
Page(s): 87-103
Digital Object Identifier: 10.1109/TAMD.2011.2163513
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5978202