John E. Laird

Interactively Learning a Blend of Goal-Based and Procedural Tasks

2018 · Proceedings of the AAAI Conference on Artificial Intelligence

Agents that can learn new tasks through interactive instruction can utilize goal information to search for and learn flexible policies. This approach can be resilient to variations in initial conditions or issues that arise during …

Language Models as a Knowledge Source for Cognitive Agents

2021 · arXiv (Cornell University)

Language models (LMs) are sentence-completion engines trained on massive corpora. LMs have emerged as a significant breakthrough in natural-language processing, providing capabilities that go far beyond sentence completion including question answering, summarization, and natural-language inference. …