Bio-inspired cognitive model of motor learning by imitation
| Autor: | Jonathan-Hernando Rosales, Luis Martin, Zandor Machaen |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Cognitive science
Cognitive model ComputingMethodologies_SIMULATIONANDMODELING Computer science Cognitive Neuroscience media_common.quotation_subject ComputingMilieux_PERSONALCOMPUTING Experimental and Cognitive Psychology Cognition 02 engineering and technology ComputingMethodologies_ARTIFICIALINTELLIGENCE Object (philosophy) 03 medical and health sciences Virtual entity 0302 clinical medicine Action (philosophy) Artificial Intelligence 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Imitation Motor learning 030217 neurology & neurosurgery Software ComputingMethodologies_COMPUTERGRAPHICS media_common |
| Zdroj: | Cognitive Systems Research. 66:134-149 |
| ISSN: | 1389-0417 |
| DOI: | 10.1016/j.cogsys.2020.10.017 |
| Popis: | Learning, and even more so by imitation, is an essential Cognitive Functions because it is carried out throughout life and allows us to adapt our behaviors from other beings through observation. In this work, we propose a model, and implementation of the cognitive function of imitation motor learning (IML), based on psychological and neuroscientific evidence. According to the evidence, learning by imitation includes imitation of action and imitation of action over an object sub-processes. The imitation of action consists of the movement of the limbs. The imitation of action over an object consists of the interaction with an object within the environment. We achieve an implementation of the proposed model for IML and endow a virtual entity with it. In order to validate the proposal, we use a case study to analyze the sub-processes performance. From results, we conclude that both imitation of action and imitation of action over an object sub-processes play an essential role in getting the agent to interact with stimuli within the environment. |
| Databáze: | OpenAIRE |
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