The Complexity of Reasoning with FODD and GFODD

Authors: Benjamin Hescott, Roni Khardon

AAAI 2014 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Theoretical In this paper, we study the complexity of the evaluation problem, the satisfiability problem, and the equivalence problem for GFODDs under the assumption that the size of the intended model is given with the problem, a restriction that guarantees decidability. Our results provide a complete characterization.
Researcher Affiliation Academia Benjamin J. Hescott and Roni Khardon Department of Computer Science, Tufts University Medford, MA, USA {hescott|roni}@cs.tufts.edu
Pseudocode No The paper does not contain structured pseudocode or algorithm blocks with clear labels like 'Pseudocode' or 'Algorithm'.
Open Source Code No The paper does not include any explicit statement about releasing source code for the methodology described, nor does it provide a link to a code repository.
Open Datasets No This is a theoretical paper focusing on complexity analysis and does not use or refer to publicly available datasets for training or evaluation.
Dataset Splits No As a theoretical paper, it does not describe experimental validation involving dataset splits.
Hardware Specification No This is a theoretical paper and does not mention any specific hardware used for computations or experiments.
Software Dependencies No The paper is theoretical and does not specify any software dependencies with version numbers needed for replication.
Experiment Setup No This paper is theoretical and does not include details on experimental setup, hyperparameters, or training configurations.