Placing Influencing Agents in a Flock
Authors: Katie Genter, Peter Stone
AAAI 2015 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Preliminary Results We utilize the MASON simulator (Luke et al. 2005) for our experiments. In our experiments, we use each of the four methods discussed above to initially place the influencing agents and then the influencing agents behave according to the 1-step lookahead algorithm. Due to the limited length of this abstract, we do not report the details of our experimental setup and we only present one set of preliminary experimental results. Figure 1 shows the average number of flocking agents lost by the different approaches when n = 10. |
| Researcher Affiliation | Academia | Katie Genter and Peter Stone Department of Computer Science, University of Texas at Austin Austin, TX 78712 USA {katie,pstone}@cs.utexas.edu |
| Pseudocode | No | The paper describes algorithms (e.g., Reynolds Boid algorithm, 1-step lookahead algorithm) in narrative text but does not provide structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any links to source code for the methodology described, nor does it explicitly state that code is available in supplementary materials or elsewhere. |
| Open Datasets | No | The paper describes a simulated environment and parameters (e.g., 'The n agents that comprise the flock consist of k influencing agents and m flocking agents, where k +m = n.'), but it does not use or provide access information for any publicly available or open dataset. |
| Dataset Splits | No | The paper describes a simulation environment and experiments, stating 'the average number of flocking agents lost across 100 trials,' but it does not involve data partitioning into training, validation, or test sets. |
| Hardware Specification | No | The paper states 'We utilize the MASON simulator (Luke et al. 2005) for our experiments,' but it does not provide any specific details about the hardware (e.g., CPU, GPU models, memory) used to run these simulations. |
| Software Dependencies | No | The paper mentions utilizing 'the MASON simulator (Luke et al. 2005)' but does not provide specific version numbers for MASON or any other software libraries or dependencies used in the experiments. |
| Experiment Setup | Yes | Due to the limited length of this abstract, we do not report the details of our experimental setup and we only present one set of preliminary experimental results. [...] Figure 1 shows the average number of flocking agents lost by the different approaches when n = 10. [...] We conclude that the flock has converged to θ when every agent that is not lost forever and is not an influencing agent is facing within 0.1 radians of θ. |