Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
Dialogue Understanding in a Logic of Action and Belief
Authors: Alfredo Gabaldon, Pat Langley
AAAI 2015 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | In this paper, we analyze both aspects of the architecture in terms of the Situation Calculus a classical logic for reasoning about dynamical systems and give a specification of the inference task the system performs. Our formalization is novel and of independent interest, but it also contributes by providing a formal representation of UMBRA s knowledge structures and a specification of the dialogue understanding problem it addresses. |
| Researcher Affiliation | Collaboration | Alfredo Gabaldon and Pat Langley Silicon Valley Campus Carnegie Mellon University Moffett Field, CA 94035 USA EMAIL EMAIL Current affiliation: GE Global Research, One Research Circle, Niskayuna, NY 12309 |
| Pseudocode | No | The paper does not contain any structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any statement or link regarding the release of open-source code for the described methodology. |
| Open Datasets | No | This paper is theoretical and does not use or reference any datasets for training or evaluation. |
| Dataset Splits | No | This paper is theoretical and does not involve data or experiments, so there are no training, validation, or test dataset splits mentioned. |
| Hardware Specification | No | This paper focuses on a theoretical formalization and does not report on experiments, thus no hardware specifications are mentioned. |
| Software Dependencies | No | This paper focuses on a theoretical formalization and does not report on experiments, thus no software dependencies with version numbers are mentioned. |
| Experiment Setup | No | This paper focuses on a theoretical formalization and does not report on experiments, thus no experimental setup details like hyperparameters or training configurations are provided. |