IEEE Transactions on Autonomous Mental Development
Volume 1 Issue 1 • May 2009
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Table of contents
Publication Year: 2009, Page(s): C1
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IEEE Transactions on Autonomous Mental Development publication information
Publication Year: 2009, Page(s): C2
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Autonomous Mental Development: A New Interdisciplinary Transactions for Natural and Artificial Intelligence
Publication Year: 2009, Page(s):1 - 11
Cited by: Papers (2)
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Cognitive Developmental Robotics: A Survey
Publication Year: 2009, Page(s):12 - 34
Cited by: Papers (228) | Patents (1)Cognitive developmental robotics (CDR) aims to provide new understanding of how human's higher cognitive functions develop by means of a synthetic approach that developmentally constructs cognitive functions. The core idea of CDR is ldquophysical embodimentrdquo that enables information structuring through interactions with the environment, including other agents. The idea is shaped based on the h... View full abstract»
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Modeling Unsupervised Perceptual Category Learning
Publication Year: 2009, Page(s):35 - 43
Cited by: Papers (6)During the learning of speech sounds and other perceptual categories, category labels are not provided, the number of categories is unknown, and the stimuli are encountered sequentially. These constraints provide a challenge for models, but they have been recently addressed in the online mixture estimation model of unsupervised vowel category learning (see Vallabha in the reference section). The m... View full abstract»
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Computational Analysis of Motionese Toward Scaffolding Robot Action Learning
Publication Year: 2009, Page(s):44 - 54
Cited by: Papers (42)A difficulty in robot action learning is that robots do not know where to attend when observing action demonstration. Inspired by human parent-infant interaction, we suggest that parental action demonstration to infants, called <i>motionese</i>, can scaffold robot learning as well as infants'. Since infants' knowledge about the context is limited, which is comparable to robots, parents... View full abstract»
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Attention via Synchrony: Making Use of Multimodal Cues in Social Learning
Publication Year: 2009, Page(s):55 - 67
Cited by: Papers (20) | Patents (1)Infants learning about their environment are confronted with many stimuli of different modalities. Therefore, a crucial problem is how to discover which stimuli are related, for instance, in learning words. In making these multimodal ldquobindings,rdquo infants depend on social interaction with a caregiver to guide their attention towards relevant stimuli. The caregiver might, for example, visuall... View full abstract»
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Dually Optimal Neuronal Layers: Lobe Component Analysis
Publication Year: 2009, Page(s):68 - 85
Cited by: Papers (49) | Patents (1)Development imposes great challenges. Internal ldquocorticalrdquorepresentations must be autonomously generated from interactive experiences. The eventual quality of these developed representations is of course important. Additionally, learning must be as fast as possible-to quickly derive better representation from limited experiences. Those who achieve both of these will have competitive advanta... View full abstract»
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Contingency Perception and Agency Measure in Visuo-Motor Spiking Neural Networks
Publication Year: 2009, Page(s):86 - 97
Cited by: Papers (15)Agency is the sense that I am the cause or author of a movement. Babies develop early this feeling by perceiving the contingency between afferent (sensor) and efferent (motor) information. A comparator model is hypothesized to be associated with many brain regions to monitor and simulate the concordance between self-produced actions and their consequences. In this paper, we propose that the biolog... View full abstract»
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IEEE Transactions on Autonomous Mental Development (TAMD)
Publication Year: 2009, Page(s): 98
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PDF (495 KB)
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IEEE copyright form
Publication Year: 2009, Page(s):99 - 100
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IEEE Computational Intelligence Society Information
Publication Year: 2009, Page(s): C3
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PDF (37 KB)
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IEEE Transactions on Autonomous Mental Development Information for authors
Publication Year: 2009, Page(s): C4
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PDF (28 KB)
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AbstractAims & Scope
This journal ceased publication in December 2015. IEEE Transactions on Autonomous Mental Development (TAMD) includes computational modeling of mental development, including mental architecture, theories, algorithms, properties, and experiments.
Meet Our Editors
Editor-in-Chief
Angelo Cangelosi
Plymouth University