Rule-Based Programming of Molecular Robot Swarms for Biomedical Applications
Authors: Inbal Wiesel-Kapah, Gal A. Kaminka, Guy Hachmon, Noa Agmon, Ido Bachelet
IJCAI 2016 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We prove the validity of the compiler output, and report on in-vitro experiments using generated nanobot swarms. |
| Researcher Affiliation | Collaboration | 1Computer Science Department, Bar Ilan University, Israel 2XLX Technologies, Israel 3Augmanity, Ltd., Israel |
| Pseudocode | Yes | Algorithm 1 (Construct Tree), which transforms FSMs into and/or graphs, is the heart of the back-end phase. |
| Open Source Code | No | The paper does not provide concrete access to source code for the methodology described. |
| Open Datasets | No | The paper states 'We use the DNA-based clamshell nanobot [Douglas et al., 2012] in the experiments.' and 'report on in-vitro experiments'. This indicates lab experiments were conducted, not the use of a publicly available dataset for training. |
| Dataset Splits | No | The paper describes in-vitro experiments but does not provide specific dataset split information (train/validation/test) needed to reproduce data partitioning. |
| Hardware Specification | No | The paper refers to nanobots (e.g., 'DNA-based clamshell nanobot') as the physical systems being programmed and experimented with, but does not provide specific hardware details (like GPU/CPU models or processor types) used for running computational experiments or the compiler itself. |
| Software Dependencies | No | The paper mentions the 'Bilbo compiler' and 'Athelas language' but does not provide specific ancillary software details like library or solver names with version numbers needed to replicate the experiment. |
| Experiment Setup | No | The 'Experimental Results' section describes the setup for in-vitro experiments (e.g., mixing nanobots and using fluorescent materials), which is a description of the biological experiment setup. However, it does not provide specific computational experiment setup details such as concrete hyperparameter values or system-level training settings for the compiler or any computational model. |