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IEEE Transactions on Autonomous Mental Development

Issue 1 • March 2012

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Displaying Results 1 - 11 of 11
  • Table of contents

    Publication Year: 2012, Page(s): C1
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  • IEEE Transactions on Autonomous Mental Development publication information

    Publication Year: 2012, Page(s): C2
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  • Episodic-Like Memory for Cognitive Robots

    Publication Year: 2012, Page(s):1 - 16
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1004 KB) | HTML iconHTML

    The article presents an approach to providing a cognitive robot with a long-term memory of experiences-a memory, inspired by the concept of episodic memory (in humans) or episodic-like memory (in animals), respectively. The memory provides means to store experiences, integrate them into more abstract constructs, and recall such content. The paper presents an analysis of key characteristics of natu... View full abstract»

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  • A Model to Explain the Emergence of Imitation Development Based on Predictability Preference

    Publication Year: 2012, Page(s):17 - 28
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1830 KB) | HTML iconHTML

    Imitation is a very complicated function which requires a body mapping (a mapping from observed body motions to motor commands) that can discriminate between self motions and those of others. The developmental mechanism of this sophisticated capability, and the order in which the required abilities arise, is poorly understood. In this paper, we present a mechanism for the development of imitation ... View full abstract»

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  • Symbolic Models and Emergent Models: A Review

    Publication Year: 2012, Page(s):29 - 53
    Cited by:  Papers (19)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2243 KB) | HTML iconHTML

    There exists a large conceptual gap between symbolic models and emergent models for the mind. Many emergent models work on low-level sensory data, while many symbolic models deal with high-level abstract (i.e., action) symbols. There has been relatively little study on intermediate representations, mainly because of a lack of knowledge about how representations fully autonomously emerge inside the... View full abstract»

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  • A Behavior-Grounded Approach to Forming Object Categories: Separating Containers From Noncontainers

    Publication Year: 2012, Page(s):54 - 69
    Cited by:  Papers (17)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2646 KB) | HTML iconHTML

    This paper introduces a framework that allows a robot to form a single behavior-grounded object categorization after it uses multiple exploratory behaviors to interact with objects and multiple sensory modalities to detect the outcomes that each behavior produces. Our robot observed acoustic and visual outcomes from six different exploratory behaviors performed on 20 objects (containers and noncon... View full abstract»

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  • Autonomous Learning of High-Level States and Actions in Continuous Environments

    Publication Year: 2012, Page(s):70 - 86
    Cited by:  Papers (22)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1044 KB) | HTML iconHTML

    How can an agent bootstrap up from a low-level representation to autonomously learn high-level states and actions using only domain-general knowledge? In this paper, we assume that the learning agent has a set of continuous variables describing the environment. There exist methods for learning models of the environment, and there also exist methods for planning. However, for autonomous learning, t... View full abstract»

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  • A Goal-Directed Visual Perception System Using Object-Based Top–Down Attention

    Publication Year: 2012, Page(s):87 - 103
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2857 KB) | HTML iconHTML

    The selective attention mechanism is employed by humans and primates to realize a truly intelligent perception system, which has the cognitive capability of learning and thinking about how to perceive the environment autonomously. The attention mechanism involves the top-down and bottom-up ways that correspond to the goal-directed and automatic perceptual behaviors, respectively. Rather than consi... View full abstract»

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    Publication Year: 2012, Page(s): 104
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  • IEEE Computational Intelligence Society Information

    Publication Year: 2012, Page(s): C3
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  • IEEE Transactions on Autonomous Mental Development information for authors

    Publication Year: 2012, 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