In the model, the rule-set is selected by the cue and stored in the PFC. Dopamine probabilistically maintains the rule-set until the stimulus is presented. The stimulus and rule-set (if maintained) form a compound representation which then determines a response.
It not only allows faster acquisition of new tasks by reducing the size of the problem space but also allows for generalizations to novel stimuli. Task- ...
A new, biologically plausible model of task-set learning that reproduces effects from both rule-learning experiments and task-switching experiments.
Presented here is a comprehensive model of rule-set learning and selection that can capture the learning curve results, error-type data, and transfer effects ...
A unified model of rule-set learning and selection · Pierson J. Fleischer, S. Hélie · Published in Neural Networks 30 January 2020 · Psychology, Computer Science.
Presented here is a comprehensive model of rule-set learning and selection that can capture the learning curve results, error-type data, and transfer effects ...
This paper presents a new approach to induc- tive learning that combines aspects of instance- based learning and rule induction in a single.
The Unified Model adopts the core Competition Model insight that, for the adult native speaker cue strength is a direct function of cue validity.
Aug 27, 2022 · This approach combines adaptive learning, computation of implied k-level forecasts, and revisions of agents' choices of k-level in light of ...
We propose a method for generating explainable rule sets from tree-ensemble learners using Answer. Set Programming (ASP).