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IEEE Transactions on Autonomous Mental Development

Issue 3 • Date Sept. 2011

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Displaying Results 1 - 12 of 12
  • Table of contents

    Publication Year: 2011, Page(s): C1
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  • IEEE Transactions on Autonomous Mental Development publication information

    Publication Year: 2011, Page(s): C2
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  • Editorial: TAMD Update

    Publication Year: 2011, Page(s): 193
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  • Noise and the Emergence of Rules in Category Learning: A Connectionist Model

    Publication Year: 2011, Page(s):194 - 206
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (860 KB) | HTML iconHTML

    We present a neural network model of category learning that addresses the question of how rules for category membership are acquired. The architecture of the model comprises a set of statistical learning synapses and a set of rule-learning synapses, whose weights, crucially, emerge from the statistical network. The network is implemented with a neurobiologically plausible Hebbian learning mechanis... View full abstract»

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  • Using Object Affordances to Improve Object Recognition

    Publication Year: 2011, Page(s):207 - 215
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (925 KB) | HTML iconHTML

    The problem of object recognition has not yet been solved in its general form. The most successful approach to it so far relies on object models obtained by training a statistical method on visual features obtained from camera images. The images must necessarily come from huge visual datasets, in order to circumvent all problems related to changing illumination, point of view, etc. We hereby propo... View full abstract»

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  • Learning Generalizable Control Programs

    Publication Year: 2011, Page(s):216 - 231
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1126 KB) | HTML iconHTML

    In this paper, we present a framework for guiding autonomous learning in robot systems. The paradigm we introduce allows a robot to acquire new skills according to an intrinsic motivation function that finds behavioral affordances. Affordances-in the sense of (Gibson, Toward and Ecological Psychology, Hillsdale, NJ, 1977)-describe the latent possibilities for action in the environment and provide ... View full abstract»

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  • A Biologically Inspired Architecture for an Autonomous and Social Robot

    Publication Year: 2011, Page(s):232 - 246
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1165 KB) | HTML iconHTML

    Lately, lots of effort has been put into the construction of robots able to live among humans. This fact has favored the development of personal or social robots, which are expected to behave in a natural way. This implies that these robots could meet certain requirements, for example, to be able to decide their own actions (autonomy), to be able to make deliberative plans (reasoning), or to be ab... View full abstract»

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  • Improved Binocular Vergence Control via a Neural Network That Maximizes an Internally Defined Reward

    Publication Year: 2011, Page(s):247 - 256
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1415 KB) | HTML iconHTML

    We describe the autonomous development of binocular vergence control in an active robotic vision system through attention-gated reinforcement learning (AGREL). The control policy is implemented by a neural network, which maps the outputs from a population of disparity energy neurons to a set of vergence commands. The network learns to maximize a reward signal that is based on an internal represent... View full abstract»

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  • Emergence of Memory in Reactive Agents Equipped With Environmental Markers

    Publication Year: 2011, Page(s):257 - 271
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2608 KB) | HTML iconHTML

    In the neuronal circuits of natural and artificial agents, memory is usually implemented with recurrent connections, since recurrence allows past agent state to affect the present, on-going behavior. Here, an interesting question arises in the context of evolution: how reactive agents could have evolved into cognitive ones with internalized memory? Our idea is that reactive agents with simple feed... View full abstract»

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  • Leading the field since 1884 [advertisement]

    Publication Year: 2011, Page(s): 272
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  • IEEE Computational Intelligence Society Information

    Publication Year: 2011, Page(s): C3
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  • IEEE Transactions on Autonomous Mental Development Information for authors

    Publication Year: 2011, 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