Regular Boardgames
Authors: Jakub Kowalski, Maksymilian Mika, Jakub Sutowicz, Marek Szykuła1699-1706
AAAI 2019 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We establish foundations of RBG, and analyze it theoretically and experimentally, focusing on the efficiency of reasoning. ... Our experiments concern the efficiency of reasoning. ... The results of our experiments are shown in Table 2. |
| Researcher Affiliation | Academia | Jakub Kowalski, Maksymilian Mika, Jakub Sutowicz, Marek Szykuła Institute of Computer Science, University of Wrocław, Wrocław, Poland |
| Pseudocode | No | The paper provides examples of RBG language descriptions (e.g., in Figure 1), but it does not include pseudocode or algorithm blocks for the methods or reasoning engines. |
| Open Source Code | Yes | Kowalski et al. 2018b. Regular Boardgames source code. https://github. com/marekesz/rbg1.0/. |
| Open Datasets | No | The paper describes a General Game Playing language and evaluates the efficiency of its reasoning engine on various board games, which are defined by rules, not traditional machine learning datasets that require train/validation/test splits. Therefore, no information on public training datasets is provided. |
| Dataset Splits | No | The paper describes a General Game Playing language and evaluates the efficiency of its reasoning engine on various board games. This context does not involve traditional machine learning dataset validation splits, so no information is provided. |
| Hardware Specification | Yes | The tests were done on a single core of Intel(R) Core(TM) i7-4790 @3.60GHz with 16GB RAM, spending at least 10 min. per test. |
| Software Dependencies | No | The paper mentions software components like 'RBG Compiler' and 'RBG Interpreter', but does not provide specific version numbers for these or any other software dependencies used in their implementation. |
| Experiment Setup | Yes | The tests were done on a single core of Intel(R) Core(TM) i7-4790 @3.60GHz with 16GB RAM, spending at least 10 min. per test. |