Goal-Directed Planning and Goal Understanding by Extended Active Inference: Evaluation through Simulated and Physical Robot Experiments

We show that goal-directed action planning and generation in a teleological framework can be formulated by extending the active inference framework. The proposed model, which is built on a variational recurrent neural network model, is characterized by three essential features. These are that (1) go...

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Detalles Bibliográficos
Autores principales: Matsumoto, Takazumi, Ohata, Wataru, Benureau, Fabien C. Y., Tani, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9026632/
https://www.ncbi.nlm.nih.gov/pubmed/35455132
http://dx.doi.org/10.3390/e24040469

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9026632/
https://www.ncbi.nlm.nih.gov/pubmed/35455132
http://dx.doi.org/10.3390/e24040469

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