Overregularization seen in child language learning, for example, verb tense constructs, involves abandoning correct behaviours for incorrect ones and later reverting to correct behaviours. Quite a number of other child development phenomena also follow this U-shaped form of learning, unlearning and relearning. A decisive learner does not do this and, more generally, never abandons an hypothesis...

Unlearning has evinced immense traction and opportunity in debates pertaining to organizational learning, innovation, management of change, knowledge management, new product development, name but a few. Provided the diversity expansiveness phenomenon, past studies have undertaken both narrative systematic reviews synthesize field unlearning (OU). Although highly commendable enlightening, these ...

Can memories be unlearned, or is unlearning a form of acquiring a new memory that competes with the old, effectively masking it? We considered motor memories that were acquired when people learned to use a novel tool. We trained people to reach with tool A and quantified recall in error-clamp trials, i.e., trials in which the memory was reactivated but error-dependent learning was minimized. We...

BACKGROUND The unlearning process is complex and sometimes painful in nature. This process usually occurs in social interactions and is very dependent on social contexts and the work environment. OBJECTIVE To explore the concerns and mental challenges in facing unlearning situations in nurses. METHODS This qualitative study using content analysis was conducted in 2013-2015. Participants wer...

In this paper we propose a new incremental estimation of Gaussian mixture models which can be used for applications of online learning. Our approach allows for adding new samples incrementally as well as removing parts of the mixture by the process of unlearning. Low complexity of the mixtures is maintained through a novel compression algorithm. In contrast to the existing approaches, our appro...

Because learned associations are quickly renewed following extinction, the extinction process must include processes other than unlearning. However, reinforcement learning models, such as the temporal difference reinforcement learning (TDRL) model, treat extinction as an unlearning of associated value and are thus unable to capture renewal. TDRL models are based on the hypothesis that dopamine ...

This study explores the underlying mechanisms of achieving sustainable digital innovation in context manufacturing companies. Building on perspective organizational unlearning, we propose that unlearning could disrupt current routines and positively relate to sustainability innovation, features which are self-referential improvement iterative scalability. conducted a questionnaire survey 274 Ch...