Disentanglement in conceptual space during sensorimotor interaction

Disentanglement in conceptual space during sensorimotor interaction

The disentanglement of different objective properties from the external world is the foundation of language development for agents. The basic target of this process is to summarise the common natural properties and then to name it to describe those properties in the future. To realise this purpose,...

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Bibliographic Details
Main Authors: Junpei Zhong, Tetsuya Ogata, Angelo Cangelosi, Chenguang Yang
Format: Article
Language:English
Published: Wiley 2019-10-01
Series:Cognitive Computation and Systems
Subjects:
neural nets
human-robot interaction
learning (artificial intelligence)
multi-agent systems
multi-robot systems
statistical analysis
sensorimotor interaction
disentanglement
conceptual space
intelligent agents
sensorimotor concepts
learning model
deep neural models
variational auto-encoder
affordance learning setting
vae
robot
Online Access:https://digital-library.theiet.org/content/journals/10.1049/ccs.2019.0007

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https://digital-library.theiet.org/content/journals/10.1049/ccs.2019.0007

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