IEEE Transactions on Cognitive and Developmental Systems

Volume 9 Issue 1 • March 2017

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  • Table of contents

    Publication Year: 2017, Page(s): C1
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  • IEEE Transactions on Cognitive and Developmental Systems publication information

    Publication Year: 2017, Page(s): C2
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  • Guest Editorial Cognitive Agents and Robots for Human-Centered Systems

    Publication Year: 2017, Page(s):1 - 4
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  • A Bio-Inspired Cognitive Agent for Autonomous Urban Vehicles Routing Optimization

    Publication Year: 2017, Page(s):5 - 15
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1812 KB) | HTML iconHTML

    Autonomous urban vehicle prototypes are expected to be efficient even in not explicitly planned circumstances and dynamic environments. The development of autonomous vehicles for urban driving needs real-time information from vehicles and road network to optimize traffic flows. In traffic agent-based models, each vehicle is an agent, while the road network is the environment. Cognitive agents are ... View full abstract»

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  • A Multilevel Body Motion-Based Human Activity Analysis Methodology

    Publication Year: 2017, Page(s):16 - 29
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3377 KB) | HTML iconHTML

    Human body motion analysis is an initial procedure for understanding and perceiving human activities. A multilevel approach is proposed here for automatic human activity and social role identification. Different topics contribute to the development of the proposed approach, such as feature extraction, body motion description, and probabilistic modeling, all combined in a multilevel framework. The ... View full abstract»

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  • Learning Robot Control Using a Hierarchical SOM-Based Encoding

    Publication Year: 2017, Page(s):30 - 43
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1836 KB) | HTML iconHTML

    Hierarchical representations and modeling of sensorimotor observations is a fundamental approach for the development of scalable robot control strategies. Previously, we introduced the novel hierarchical self-organizing map-based encoding algorithm (HSOME) that is based on a computational model of infant cognition. Each layer is a temporally augmented self-organizing map and every node updates a d... View full abstract»

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  • Learning From Explanations Using Sentiment and Advice in RL

    Publication Year: 2017, Page(s):44 - 55
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1355 KB) | HTML iconHTML

    In order for robots to learn from people with no machine learning expertise, robots should learn from natural human instruction. Most machine learning techniques that incorporate explanations require people to use a limited vocabulary and provide state information, even if it is not intuitive. This paper discusses a software agent that learned to play the Mario Bros. game using explanations. Our g... View full abstract»

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  • Supervisory Control of Multiple Robots Through Group Communication

    Publication Year: 2017, Page(s):56 - 67
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (919 KB) | HTML iconHTML

    Single-human supervision of collaborative semi-autonomous multirobot teams is recently getting the attention of the robotic community. In this context, the adoption of a growing number of robots does not necessarily produce a gain in performance, due to the increased workload of the human supervisor. However, enabling human operators to communicate with groups of robots can reduce the operators' e... View full abstract»

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  • Flexible Task Execution and Attentional Regulations in Human-Robot Interaction

    Publication Year: 2017, Page(s):68 - 79
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1488 KB) | HTML iconHTML

    A robotic system that interacts with humans is expected to flexibly execute structured cooperative tasks while reacting to unexpected events and behaviors. In this paper, we face these issues presenting a framework that integrates cognitive control, executive attention, and hierarchical plan execution. In the proposed approach, the execution of structured tasks is guided by top-down (task-oriented... View full abstract»

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  • Aesthetics Evaluation for Robotic Chinese Calligraphy

    Publication Year: 2017, Page(s):80 - 90
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2054 KB) | HTML iconHTML

    A great many efforts have been devoted to reproducing a reference image for Chinese calligraphy with a robot. However, there exist modeling errors in mapping from the presentation of a reference image to brush trajectories. In this paper, a closed-loop calligraphy system is established to decrease effects brought by modeling errors and optimize aesthetics. A strategy of robotic Chinese calligraphy... View full abstract»

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  • Special Issue on Spiking Neural Networks for Cognitive and Developmental Systems

    Publication Year: 2017, Page(s): 91
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  • Special Issue on Adaptive Personal Robot Interaction

    Publication Year: 2017, Page(s): 92
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  • Special Issue on A sense of interaction in humans and robots: from visual perception to social cognition

    Publication Year: 2017, Page(s): 93
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  • Introducing IEEE Collabratec

    Publication Year: 2017, Page(s): 94
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  • Member Get-A-Member (MGM) Program

    Publication Year: 2017, Page(s): 95
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  • how can you get your idea to market first

    Publication Year: 2017, Page(s): 96
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  • IEEE Computational Intelligence Society Information

    Publication Year: 2017, Page(s): C3
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  • IEEE Transactions on Cognitive and Developmental Systems information for authors

    Publication Year: 2017, Page(s): C4
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Aims & Scope

The IEEE Transactions on Cognitive and Developmental Systems (TCDS) focuses on advances in the study of development and cognition in natural (humans, animals) and artificial (robots, agents) systems. It welcomes contributions from multiple related disciplines including cognitive systems, cognitive robotics, developmental and epigenetic robotics, autonomous and evolutionary robotics, social structures, multi-agent and artificial life systems, computational neuroscience, and developmental psychology. Articles on theoretical, computational, application-oriented, and experimental studies as well as reviews in these areas are considered.

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Meet Our Editors

Editor-in-Chief

Yaochu Jin
University of Surrey
Department of Computer Science
Surrey, GU2 7XH
United Kingdom
Tel: +44 148686037
E-mail: yaochu.jin@surrey.ac.uk
Website: http://www.surrey.ac.uk/cs/research/nice/people/yaochu_jin/