Autonomous Mental Development by Robots and Animals

  title={Autonomous Mental Development by Robots and Animals},
  author={Juyang Weng and James L. McClelland and Alex Pentland and Olaf Sporns and Ida Stockman and Mriganka Sur and Esther Thelen},
  pages={599 - 600}
The scope of mental development includes cognitive, behavioral, emotional, and all other mental capabilities that are exhibited by humans, higher animals, and artificial systems. Computational principles of autonomous mental development in humans and the synthesis of developmental programs for robots and other artificial systems are beginning to be actively studied. Robots that develop their mental skills autonomously represent a fundamental change from the traditional paradigm for constructing… 
Autonomous mental development for agent
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An automated mental development in the multi agent environment (MAGE), including the framework, model and future work is discussed, the goal is that the agent can autonomously learn like a human and various knowledge can be memorised in a relevant form autonomously.
Grounded auditory development by a developmental robot
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The paper presents a case study of a developmental robot developing its auditory related behaviors to follow human trainers' voice commands and proposes a learning architecture to resolve automatic representation generation and selective attention issues.
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A developmental robot is one that learns and practices autonomously in the real physical world by interacting with the environment through sensors and effectors, probably under human supervision. The
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The work presented here focuses on the development of its auditory behaviors, and the goal is to enable a robot to learn autonomously from real-world experiences.
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The limitation of the traditional agent model is raised and a new SASE agent is proposed, based on the SAIL developmental robot, and it is proposed that no developmental robot can use a symbolic representation.
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A new Self-Aware Self-Effecting (SASE) agent concept is proposed, based on the authors' SAIL and Dav developmental robots, and some experimental results for developmental robotics are presented.
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The latest developments in AI and machine learning, and the parallel advances in robotics, have very recently contributed to a shift in the approach to modeling human intelligence. These innovations,
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Cognitive developmental robotics aims to provide new understanding of how human's higher cognitive functions develop by means of a synthetic approach that developmentally constructs cognitive functions through interactions with the environment, including other agents.
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A biologically inspired computational architecture is presented that guides development of sensorimotor skills through real-time interactions with the environments, driven by an inborn value system.


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