Journal article
Interactive Grounding and Inference in Learning by Instruction
Topics in cognitive science, v 13(3), pp 488-498
01 Jul 2021
PMID: 33900673
Abstract
Learning by instruction is one of the most common forms of learning, and a number of research efforts have modeled the cognitive process of instruction following, with many successes. However, most computational models remain brittle with respect to the given instructions, and they lack the ability to adapt dynamically to variants of the instructions. This paper aims to illustrate modeling constructs designed to make instruction following more robust, including (1) more flexible grounding of language to execution, (2) processing of instructions that allows for inference of implicit instruction knowledge, and (3) dynamic, interactive clarification of instructions during both the learning and execution stages. Examples in the context of a paired-associates task and a visual-search task are discussed.
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Details
- Title
- Interactive Grounding and Inference in Learning by Instruction
- Creators
- Dario D. Salvucci - Drexel University
- Publication Details
- Topics in cognitive science, v 13(3), pp 488-498
- Publisher
- Wiley
- Number of pages
- 11
- Grant note
- FA9550-18-1-0371 / Air Force Office of Scientific Research; United States Department of Defense; Air Force Office of Scientific Research (AFOSR)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Computer Science
- Web of Science ID
- WOS:000643909200001
- Scopus ID
- 2-s2.0-85104898789
- Other Identifier
- 991019169621604721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Psychology, Experimental