Temporal Planning with Semantic Attachment of Non-Linear Monotonic Continuous Behaviours
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.
Cite
Text
Bajada et al. "Temporal Planning with Semantic Attachment of Non-Linear Monotonic Continuous Behaviours." International Joint Conference on Artificial Intelligence, 2015.Markdown
[Bajada et al. "Temporal Planning with Semantic Attachment of Non-Linear Monotonic Continuous Behaviours." International Joint Conference on Artificial Intelligence, 2015.](https://mlanthology.org/ijcai/2015/bajada2015ijcai-temporal/)BibTeX
@inproceedings{bajada2015ijcai-temporal,
title = {{Temporal Planning with Semantic Attachment of Non-Linear Monotonic Continuous Behaviours}},
author = {Bajada, Josef and Fox, Maria and Long, Derek},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2015},
pages = {1523-1529},
url = {https://mlanthology.org/ijcai/2015/bajada2015ijcai-temporal/}
}