RESC: An Approach for Real-Time, Dynamic Agent Tracking
Abstract
Agent tracking involves monitoring the observable actions of other agents as well as inferring their unobserved actions, plans, goals and behaviors. In a dynamic, real-time environment, an intelligent agent faces the challenge of tracking other agents' flexible mix of goaldriven and reactive behaviors, and doing so in real-time, despite ambiguities. This paper presents RESC (REal-time Situated Commitments) , an approach that enables an intelligent agent to meet this challenge. RESC's situatedness derives from its constant uninterrupted attention to the current world situation --- it always tracks other agents' on-going actions in the context of this situation. Despite ambiguities, RESC quickly commits to a single interpretation of the on-going actions (without an extensive examination of the alternatives), and uses that in service of interpretation of future actions. However, should its commitments lead to inconsistencies in tracking, it uses singlestate backtracking to undo some of th...
Cite
Text
Tambe and Rosenbloom. "RESC: An Approach for Real-Time, Dynamic Agent Tracking." International Joint Conference on Artificial Intelligence, 1995.Markdown
[Tambe and Rosenbloom. "RESC: An Approach for Real-Time, Dynamic Agent Tracking." International Joint Conference on Artificial Intelligence, 1995.](https://mlanthology.org/ijcai/1995/tambe1995ijcai-resc/)BibTeX
@inproceedings{tambe1995ijcai-resc,
title = {{RESC: An Approach for Real-Time, Dynamic Agent Tracking}},
author = {Tambe, Milind and Rosenbloom, Paul S.},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {1995},
pages = {103-111},
url = {https://mlanthology.org/ijcai/1995/tambe1995ijcai-resc/}
}