Publication

Cognitive Flexibility in Cognitive Architecture: Simulating using Contextual Learning in PRIMs

Ji, Y., van Rij, J. & Taatgen, N., 2020, Poster session presented at 18th International Conference on Cognitive Modeling.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

The universal flexibility of biological systems needs to be reflected in cognitive architecture. In PRIMs, we attempt to achieve flexibility through a bottom-up approach. Using contextual learning, randomly firing of a set of instantiated primitive operators are gradually organized into context-sensitive operator firing sequences (i.e., primordial “skills”). Based on this implementation, the preliminary results of the model simulated the averaged single-pattern processing latency that is consistent with infants’ differential focusing time in three theoretically controversial artificial language studies, namely Saffran, Aslin, and Newport (1996), Marcus, Vijayan, Rao, and Vishton (1999), and Gomez (2002). In our ongoing work, we are analyzing (a) whether the model can arrive at primordial “skills” adaptive to the trained tasks, and (b) whether the learned chunks mirror the trained patterns.
Original languageEnglish
Title of host publicationPoster session presented at 18th International Conference on Cognitive Modeling
Publication statusE-pub ahead of print - 2020
EventThe 18th Annual Meeting of the International Conference on Cognitive Modelling - Toronto, Canada
Duration: 22-Jul-202031-Jul-2020

Conference

ConferenceThe 18th Annual Meeting of the International Conference on Cognitive Modelling
CountryCanada
CityToronto
Period22/07/202031/07/2020

Event

The 18th Annual Meeting of the International Conference on Cognitive Modelling

22/07/202031/07/2020

Toronto, Canada

Event: Conference

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