Learning novel tasks is a complex cognitive activity requiring the learner to acquire diverse declarative and procedural knowledge. Prior ACT-R models of acquiring task knowledge from instruction focused on learning procedural knowledge from declarative instructions encoded in semantic memory. In this paper, we identify the requirements for designing compu- tational models that learn task knowledge from situated task- oriented interactions with an expert and then describe and evaluate a model of learning from situated interactive instruc- tion that is implemented in the Soar cognitive architecture.
@article{arxiv.1604.06849,
title = {A Computational Model for Situated Task Learning with Interactive Instruction},
author = {Shiwali Mohan and James Kirk and John Laird},
journal= {arXiv preprint arXiv:1604.06849},
year = {2016}
}
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International Conference on Cognitive Modeling, 2013