An Embodied Model for Sensorimotor Grounding and Grounding Transfer: Experiments with Epigenetic Robotsdoi.orgPDF
Cognitive Science 30(4):673-689, 2006
The grounding of symbols in computational models of linguistic abilities is one of the fundamental properties of psychologically-plausible cognitive models. This paper presents an embodied model for the grounding of language in action based on epigenetic robots. Epigenetic ...MORE ⇓
The grounding of symbols in computational models of linguistic abilities is one of the fundamental properties of psychologically-plausible cognitive models. This paper presents an embodied model for the grounding of language in action based on epigenetic robots. Epigenetic robotics is one of the new cognitive modeling approaches to modeling autonomous mental development. The robot model is based on an integrative vision of language, in which linguistic abilities are strictly dependent on, and grounded in, other behaviors and skills. It uses simulated robots that learn through imitation the names of basic actions. Robots also learn higher-order action concepts through the process of grounding transfer. The simulation demonstrates how new, higher-order behavioral abilities can be autonomously built upon previously-grounded basic action categories, following linguistic interaction with human users.
Language emergence and grounding in sensorimotor agents and robotsPDF
First International Workshop on the Emergence and Evolution of Linguistic Communication, 2004
The grounding of linguistic symbols in the organism'cognitive system, and indirectly in the physical and social environment in which individuals live, is one of the most important issues in recent experimental and computational approaches to language. This is normally ...
New Frontiers in Artificial Intelligence: Joint Proceeding of the 17th and 18th Annual Conferences of the Japanese Society for Artificial Intelligence, 2004
Symbol grounding transfer with hybrid self-organizing/supervised neural networksPDF
IJCNN04 International Joint Conference on Neural Networks, 2004
Abstract This paper reports new simulations on an extended neural network model for the transfer of symbol grounding. It uses a hybrid and modular connectionist model, consisting of an unsupervised, self-organizing map for stimulus classification and a supervised ...