Visualizing Inference
Authors: Henry Lieberman, Joe Henke
AAAI 2015 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Alar is a visualization system intended to help people understand and control symbolic inference. Alar presents dynamically controllable node-and-arc graphs of concepts, and of assertions both supplied to the system and inferred. Alar is useful in quality assurance of knowledge bases (finding false, vague, or misleading statements; or missing assertions). It is also useful in tuning parameters of inference, especially how liberal vs. conservative the inference is (trading off the desire to maximize the power of inference versus the risk of making incorrect inferences). We present a typical scenario of using Alar to debug a knowledge base. |
| Researcher Affiliation | Academia | Henry Lieberman and Joe Henke MIT Media Lab Cambridge, MA 01239 USA |
| Pseudocode | No | The paper describes the system's functionality and interactions but does not include any pseudocode or algorithm blocks. |
| Open Source Code | No | The paper mentions and provides a URL for 'D3JS' (http://www.d3js.org), which is a third-party visualization toolkit used by Alar, but it does not provide a link or explicit statement about the availability of the source code for the Alar system itself. |
| Open Datasets | Yes | We present Alar, a visualization system for a large commonsense ontology and knowledge base, Concept Net, and its associated heuristic inference technique, Analogy Space [Speer et al 08]. |
| Dataset Splits | No | The paper focuses on presenting and demonstrating a visualization tool for debugging knowledge bases and inference. It does not describe experiments with formal training, validation, or test dataset splits. |
| Hardware Specification | No | The paper does not provide any specific details about the hardware (e.g., CPU, GPU models, memory) used to run Alar or conduct the demonstrations. |
| Software Dependencies | No | The paper mentions 'D3JS [Bostock 14]' as a visualization toolkit used, and provides its URL, but it does not specify a version number for D3JS or any other software dependencies crucial for replication. |
| Experiment Setup | No | The paper describes interactive controls ('dimensionality', 'spacing', 'link strength') that users can adjust in the Alar system, but these are features of the visualization tool itself, not specific hyperparameters or system-level training settings for an experiment. |