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IEEE Transactions on Autonomous Mental Development is a peer-reviewed journal published by IEEE, covering Cognitive Science and Mapping, Diverse Scientific and Economic Studies, Child and Animal Learning Development.
| Publisher | IEEE |
|---|---|
| Reference style | Numbered (IEEE) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, and C. Lee, "A representative article title," IEEE Transactions on Autonomous Mental Development, vol. 12, no. 3, pp. 45–58, 2023.
Formats any DOI in IEEE Transactions on Autonomous Mental Development style. No sign-up. |
| Publishes research in | Cognitive Science and Mapping Diverse Scientific and Economic Studies Child and Animal Learning Development Digital Media and Visual Art Cognitive Abilities and Testing |
| ISSN | 1943-0604 |
| h-index | 50 |
| i10-index | 132 |
| Total citations | 10,680 |
| Top institutions publishing here | Bielefeld University |
| Journal website | www.ieeexplore.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
To investigate critical frequency bands and channels, this paper introduces deep belief networks (DBNs) to constructing EEG-based emotion recognition models for three emotions: positive, neutral and negative. We develop an EEG dataset acquired from 15 subjects. Each subject performs the experiments twice at the interval of a few days. DBNs are trained with differential entropy…
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…
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 hypothesized…
There is great interest in building intrinsic motivation into artificial systems using the reinforcement learning framework. Yet, what intrinsic motivation may mean computationally, and how it may differ from extrinsic motivation, remains a murky and controversial subject. In this paper, we adopt an evolutionary perspective and define a new optimal reward framework that captures the…
<?Pub Dtl=""?> We describe a cognitive architecture learning intelligent distribution agent (LIDA) that affords attention, action selection and human-like learning intended for use in controlling cognitive agents that replicate human experiments as well as performing real-world tasks. LIDA combines sophisticated action selection, motivation via emotions, a centrally important attention mechanism, and multimodal instructionalist and selectionist…
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