- (symbol grounding) (R. Brooks)
- Learning to Generate Articulated Behavior Through the Bottom-Up and the Top-Down Interaction Processes
- Incremental learning of sequence patterns with a modular network model Ichiro Igari , Jun Tani
- Generalization in Learning Multiple Temporal Patterns Using RNNPB
- Learning to Generate Combinatorial Action Sequences Utilizing the Initial Sensitivity of Deterministic Dynamical Systems
- Hindawi Publishing Corporation Advances in Artificial Neural Systems
- Embedding a Grammatical Description in Deterministic Chaos: An Experiment in Recurrent Neural Learning
- [1] embodied cognition[2] Brooks[3] behavior-based robotics
- Explorations on Artificial Time Perception Michail Maniadakisa,b
- Integrative Learning between Language and Action: A Neuro-Robotics Experiment
- Dynamical Interactions between Learning, Visual Attention, and An Experiment with a Vision-Based Mobile Robot
- in press, IEEE Transactions on Autonomous Mental Development 1 Abstract--This position paper proposes that the study of
- Emergence of Hierarchical Structure mirroring Linguistic Composition in a Recurrent Neural Network
- Model-Based Learning for Mobile Robot Navigation from the Dynamical Systems Perspective
- Neural Networks 21 (2008) 14661475 Contents lists available at ScienceDirect
- Active Sensing based Dynamical Object Feature Extraction Shun Nishide, Tetsuya Ogata, Ryunosuke Yokoya, Jun Tani, Kazunori Komatani, and Hiroshi G. Okuno
- Self-Organization of Distributedly Represented Multiple Behavior Schemata in a Mirror System
- Achieving "Organic Compositionality" through Self-organization: Reviews on Brain-Inspired Robotics Experiments
- RNNPB Introduction 1 Model overview
- Embodied language project Yuuya Sugita and Jun Tani
- Emergence of Functional Hierarchy in a Multiple Timescale Neural Network Model: A Humanoid Robot
- Learning to Perceive the World as Articulated: An Approach for Hierarchical Learning in Sensory-Motor Systems
- COMPUTATIONAL NEUROSCIENCE to as a"chunk,"and sequences of chunks generate diverse"motifs."
- Autonomy of 'Self' at Criticality: The Perspective from Synthetic Neuro-Robotics
- ORIGINAL ARTICLE Development of hierarchical structures for actions and motor
- Acquiring Rules for Rules: Neuro-Dynamical Systems Account for Meta-Cognition
- Learning Multiple Goal-Directed Actions through Self-Organization of a Dynamic Neural Network Model
- Codevelopmental learning between human and humanoid robot using a dynamic neural network
- How hierarchical control self-organizes in artificial adaptive Running Title: Hierarchical control in adaptive systems
- On-line imitative interaction with a humanoid robot using a dynamic neural network model of a mirror system.
- Motor Primitives and Sequences 1 Motor Primitive and Sequence Self-
- Developmental Learning of Integrating Visual Attention Shifts and Bimanual Object Grasping and
- Self-Organized Executive Control Functions Michail Maniadakis, Panos Trahanias and Jun Tani
- A Sub-symbolic Process Underlying the Usage-based Acquisition of a Compositional Representation
- Acquiring a Functionally Compositional System of Goal-directed Actions of a Simulated Agent
- Object Dynamics Prediction and Motion Generation based on Reliable Predictability
- Abstract -We present a connectionist model that combines motions and language based on the behavioral experiences of a
- Predicting Object Dynamics from Visual Images through Active Sensing Experiences
- Joint attention between a humanoid robot and users in imitation game Sony Corporation
- 2 No.286 April 2005 3No.286 April 2005
- Research Summary (2000 ~ 2009) Lab. for Behavior and Dynamic Cognition, RIKEN BSI
- Developmental learning of syntactical birdsong. 1/22 Developmental Learning of Complex Syntactical Song
- Accepted in NIPS 2003 A Holistic Approach
- Dynamic and interactive generation of object handling behaviors by a small humanoid robot using a dynamic neural network model
- Interacting with NeuroCognitive Robots: A Dynamical Systems View
- An Interpretation of the \Self" From the Dynamical Systems Perspective: A Constructivist Approach
- Learning Semantic Combinatoriality from the Interaction between Linguistic and Behavioral Processes
- September 12, 2008 16:5 WSPC/INSTRUCTION FILE nmnc2009 New Mathematics and Natural Computation
- Advanced Robotics, Vol. 21, No. 10, pp. 12151229 (2007) VSP and Robotics Society of Japan 2007.
- Advanced Robotics, Vol. 21, No. 12, pp. 13511367 (2007) VSP and Robotics Society of Japan 2007.
- On the interactions between top-down anticipation and bottom-up regression
- 28 Constructivist Foundations Objectifying the Subjective Self
- Learning both end-point and cyclic movements by RNNPB 1 Learning both end-point and cyclic movements
- Vol. xx No. xx, pp.1 10, 200x 1 Studies of symbols from robot science
- AcceptedinNeuralNetworks Learning to imitate stochastic time series in a compositional
- Advanced Robotics 22 (2008) 527546 www.brill.nl/ar
- Analysis of Reliable Predictability based Motion Generation using RNNPB
- Imitative Interactions with Sony humanoid robot Masato Ito and Jun Tani
- Journal of Consciousness Studies, Vol.11, No.9, pp.5-24, 2004. sensory motor context
- Simultaneously Emerging Braitenberg Codes and Compositionality Shorttile: Emerging Braitenberg Codes and Compositionality
- Modeling Tool-Body Assimilation using Second-order Recurrent Neural Network
- Imitating others by composition of primitive actions: a neuro-dynamic model
- The current paper proposes a novel model for integrative learning of proactive visual attention and sensory-motor control as inspired by the premotor theory of visual attention.
- A Neurodynamic Account of Spontaneous Behaviour Jun Namikawa, Ryunosuke Nishimoto, Jun Tani*
- > REPLACE THIS LINE WITH YOUR PAPER IDENTIFICATION NUMBER (DOUBLE-CLICK HERE TO EDIT) < 1 HE topic of this Special Issue is that action and language
