Inference Graphs: A New Kind of Hybrid Reasoning System
Authors: Daniel Schlegel, Stuart Shapiro
AAAI 2014 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We plan in the future to extend this evaluation to IGs which use hybrid reasoning. |
| Researcher Affiliation | Academia | Daniel R. Schlegel and Stuart C. Shapiro Department of Computer Science and Engineering University at Buffalo, Buffalo NY, 14260 <drschleg,shapiro>@buffalo.edu |
| Pseudocode | No | The paper describes the system's mechanisms and extensions in prose, but does not include any pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not contain any statement about making its source code publicly available or provide any links to a code repository. |
| Open Datasets | No | The paper is theoretical and describes a system extension. It does not report on experiments using a dataset, hence no information about a training dataset is provided. |
| Dataset Splits | No | The paper is theoretical and does not conduct experiments with data splits. Therefore, no validation split information is provided. |
| Hardware Specification | No | The paper mentions previous evaluations on "number of processors" but provides no specific hardware details (e.g., CPU/GPU models) for the work described. |
| Software Dependencies | No | The paper does not specify any software dependencies with version numbers. |
| Experiment Setup | No | The paper is theoretical and describes a system. It does not present any experimental setup details or hyperparameters. |