Robot Decisions Based on Maximizing Utility
Proceedings of the Third International Joint Conference on Artificial Intelligence. Robot Problem Solving. Pages 402-410.
Abstract
The decision-making component of a robot that operates in a poorly known environment is considered . The usual problem-solving approach to handling a task is not suitable when each decision may turn out in several ways, and many decisions are needed to complete the task. An alternative approach, which is based on maximizing the estimated utility resulting from each decision, is illustrated. The example describes the plans, utility functions and decision procedures of a simulated insectlike robot called PERCY. In spite of its limited ability to perceive and store information about the environment, PERCY can achieve satisfactory performance on its task.
@inproceedings{ijcai1973p52,
title = {Robot Decisions Based on Maximizing Utility},
author = {Jacobs, Walter and Kiefer, Maxine},
booktitle = {Proceedings of the Third International Joint Conference on
Artificial Intelligence, {IJCAI-73}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Nils J. Nilsson},
pages = {402--410},
year = {1973},
month = {8},
note = {Robot Problem Solving},
url = {https://ijcai.org/proceedings/1973/52},
}
TY - CPAPER TI - Robot Decisions Based on Maximizing Utility AU - Jacobs, Walter AU - Kiefer, Maxine T2 - Proceedings of the Third International Joint Conference on Artificial Intelligence, IJCAI-73 PB - International Joint Conferences on Artificial Intelligence PY - 1973 SP - 402 EP - 410 UR - https://ijcai.org/proceedings/1973/52 ER -Copied
Machine-readable versions of this paper, for tools and AI agents:
