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IEEE Transactions on Autonomous Mental Development

Issue 3 • Sept. 2010

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Displaying Results 1 - 13 of 13
  • Table of contents

    Publication Year: 2010, Page(s): C1
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  • IEEE Transactions on Autonomous Mental Development publication information

    Publication Year: 2010, Page(s): C2
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  • Spatio–Temporal Multimodal Developmental Learning

    Publication Year: 2010, Page(s):149 - 166
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2634 KB) | HTML iconHTML

    It is elusive how the skull-enclosed brain enables spatio-temporal multimodal developmental learning. By multimodal, we mean that the system has at least two sensory modalities, e.g., visual and auditory in our experiments. By spatio-temporal, we mean that the behavior from the system depends not only on the spatial pattern in the current sensory inputs, but also those of the recent past. Traditio... View full abstract»

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  • Integration of Action and Language Knowledge: A Roadmap for Developmental Robotics

    Publication Year: 2010, Page(s):167 - 195
    Cited by:  Papers (55)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (428 KB) | HTML iconHTML

    This position paper proposes that the study of embodied cognitive agents, such as humanoid robots, can advance our understanding of the cognitive development of complex sensorimotor, linguistic, and social learning skills. This in turn will benefit the design of cognitive robots capable of learning to handle and manipulate objects and tools autonomously, to cooperate and communicate with other rob... View full abstract»

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  • Top–Down Gaze Movement Control in Target Search Using Population Cell Coding of Visual Context

    Publication Year: 2010, Page(s):196 - 215
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2440 KB) | HTML iconHTML

    Visual context plays an important role in humans' top-down gaze movement control for target searching. Exploring the mental development mechanism in terms of incremental visual context encoding by population cells is an interesting issue. This paper presents a biologically inspired computational model. The visual contextual cues were used in this model for top-down eye-motion control on searching ... View full abstract»

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  • Goal Babbling Permits Direct Learning of Inverse Kinematics

    Publication Year: 2010, Page(s):216 - 229
    Cited by:  Papers (38)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1543 KB) | HTML iconHTML

    We present an approach to learn inverse kinematics of redundant systems without prior- or expert-knowledge. The method allows for an iterative bootstrapping and refinement of the inverse kinematics estimate. The essential novelty lies in a path-based sampling approach: we generate training data along paths, which result from execution of the currently learned estimate along a desired path towards ... View full abstract»

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  • Formal Theory of Creativity, Fun, and Intrinsic Motivation (1990–2010)

    Publication Year: 2010, Page(s):230 - 247
    Cited by:  Papers (63)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (349 KB) | HTML iconHTML

    The simple, but general formal theory of fun and intrinsic motivation and creativity (1990-2010) is based on the concept of maximizing intrinsic reward for the active creation or discovery of novel, surprising patterns allowing for improved prediction or data compression. It generalizes the traditional field of active learning, and is related to old, but less formal ideas in aesthetics theory and ... View full abstract»

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  • Top–Down Connections in Self-Organizing Hebbian Networks: Topographic Class Grouping

    Publication Year: 2010, Page(s):248 - 261
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1397 KB) | HTML iconHTML

    We investigate the effects of top-down input connections from a later layer to an earlier layer in a biologically inspired network. The incremental learning method combines optimal Hebbian learning for stable feature extraction, competitive lateral inhibition for sparse coding, and neighborhood-based self-organization for topographic map generation. The computational studies reported indicate top-... View full abstract»

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  • Special issue on computational modeling of neural brain development

    Publication Year: 2010, Page(s): 262
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  • IEEE Foundation [advertisement]

    Publication Year: 2010, Page(s): 263
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  • Quality without compromise [advertisement]

    Publication Year: 2010, Page(s): 264
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  • IEEE Computational Intelligence Society Information

    Publication Year: 2010, Page(s): C3
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  • IEEE Transactions on Autonomous Mental Development Information for authors

    Publication Year: 2010, Page(s): C4
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Aims & Scope

IEEE Transactions on Autonomous Mental Development (TAMD) includes computational modeling of mental development, including mental architecture, theories, algorithms, properties, and experiments.

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Meet Our Editors

Editor-in-Chief
Angelo Cangelosi
Plymouth University