The process of modeling is most closely associated with focused on classical and operant conditioning, which are forms of associative learning in observational learning.
Learning by imitating other people's behavior is a process known as modeling. Another name for it is observational learning. Humans naturally act as models for one another; for instance, young children use modeling to learn how to tie their shoes and use utensils. A certain type of neuron known as a mirror neuron is involved in modeling learning. The field of application for both classical and operant conditioning is expanded by observational learning. The observation model serves as a bridge between the structural model's prediction and the observation, in contrast to classical and operant conditioning. The observational modeling is a representation of the noise and uncertainty in the measurements as an error model. The Mlxtran model file and/or the Monolix interface both allow for the definition of the observation model.
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Answer:
"verification"
Explanation:
According to my research, while working on a decentralized design before integrating modules into one conceptual model there needs to be a thorough "verification" process. This is done in order to make sure that everything in each module is working how its supposed therefore removing the possibility of bugs during the final implementation.
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