Temporal Planning with Semantic Attachment of Non-Linear Monotonic Continuous Behaviours
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. Main Track. Pages 1523-1528.
Abstract
Non-linear continuous change is common in real-world problems, especially those that model physical systems. We present an algorithm which builds upon existent temporal planning techniques based on linear programming to approximate non-linear continuous monotonic functions. These are integrated through a semantic attachment mechanism, allowing external libraries or functions that are difficult to model in native PDDL to be evaluated during the planning process. A new planning system implementing this algorithm was developed and evaluated. Results show that the addition of this algorithm to the planning process can enable it to solve a broader set of planning problems.
@inproceedings{ijcai2015p218,
title = {Temporal Planning with Semantic Attachment of Non-Linear Monotonic Continuous Behaviours},
author = {Bajada, Josef and Fox, Maria and Long, Derek},
booktitle = {Proceedings of the Twenty-Fourth International Joint Conference on
Artificial Intelligence, {IJCAI-15}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Qiang Yang and Michael Wooldridge},
pages = {1523--1528},
year = {2015},
month = {7},
note = {Main Track},
url = {https://ijcai.org/proceedings/2015/218},
}
TY - CPAPER TI - Temporal Planning with Semantic Attachment of Non-Linear Monotonic Continuous Behaviours AU - Bajada, Josef AU - Fox, Maria AU - Long, Derek T2 - Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15 PB - International Joint Conferences on Artificial Intelligence PY - 2015 SP - 1523 EP - 1528 UR - https://ijcai.org/proceedings/2015/218 ER -Copied
Machine-readable versions of this paper, for tools and AI agents:
