Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
A Demonstration of Interactive Task Learning
Authors: James Kirk, Aaron Mininger, John Laird
IJCAI 2016 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We will demonstrate a tabletop robotic agent that learns new tasks through interactive natural language instruction. The tasks to be demonstrated are simple puzzles and games, such as Tower of Hanoi, Eight Puzzle, Tic-Tac-Toe, Three Men s Morris, and the Frog and Toads puzzle. ... As a result, the ef๏ฌciency of Rosie s task reasoning using learned knowledge (such as when it is searching for a solution to a problem) is comparable to hand-coded knowledge. ... Once the goal is found (in 1 second), Rosie executes the plan using the robot arm. |
| Researcher Affiliation | Academia | James Kirk, Aaron Mininger, and John Laird Division of Computer Science and Engineering University of Michigan, Ann Arbor, Michigan, USA EMAIL |
| Pseudocode | No | The paper does not contain any structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any explicit statement or link regarding the release of open-source code for the described methodology. |
| Open Datasets | No | The paper describes the tasks (e.g., Tower of Hanoi, Tic-Tac-Toe) but does not refer to them as publicly available datasets with concrete access information (link, DOI, formal citation). |
| Dataset Splits | No | The paper describes interactive task learning and does not mention explicit training, validation, or test dataset splits. |
| Hardware Specification | No | The paper mentions 'a small robot arm and a Kinect sensor' and refers to a 'tabletop robot' and 'mobile robot' but does not provide specific CPU/GPU models or detailed hardware specifications for the experimental setup. |
| Software Dependencies | No | The paper mentions the Soar cognitive architecture and the Rosie system but does not provide specific version numbers for any software dependencies or libraries. |
| Experiment Setup | No | The paper describes the interactive learning process and the system's capabilities but does not provide specific experimental setup details such as hyperparameters or training configurations. |