Dynamic logic of parallel propositional assignments and its applications to planning

Authors: Andreas Herzig, Frédéric Maris, Julien Vianey

IJCAI 2019 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Theoretical We introduce a dynamic logic with parallel composition and two kinds of nondeterministic composition, exclusive and inclusive. We show PSPACE completeness of both the model checking and the satisfiability problem and apply our logic to sequential and parallel classical planning where actions have conditional effects.
Researcher Affiliation Academia 1IRIT-CNRS 2IRIT-Univ. Toulouse {herzig,maris,julien.vianey}@irit.fr
Pseudocode No The paper provides formal definitions for the interpretation of DL-PPA programs in Figure 1 and translation rules in Figure 2, but these are semantic and translation rules, not pseudocode or algorithm blocks describing a computational procedure.
Open Source Code No The paper does not provide any statement or link indicating that open-source code for the described methodology is available.
Open Datasets No This is a theoretical paper focusing on logic and complexity, not empirical experiments. No datasets are mentioned for training.
Dataset Splits No This is a theoretical paper focusing on logic and complexity, not empirical experiments. Therefore, no dataset splits for validation are mentioned.
Hardware Specification No This is a theoretical paper; therefore, there is no information provided regarding specific hardware used for any experiments.
Software Dependencies No This is a theoretical paper and does not describe any specific software dependencies with version numbers for implementation or experimentation.
Experiment Setup No This is a theoretical paper and does not describe an empirical experimental setup, hyperparameters, or training settings.