Computing Rational Decisions In Extensive Games With Limited Foresight
Authors: Paolo Turrini
AAAI 2016 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We show constructively (Algorithms 1-4) that this solution concept always exists (Theorem 8) and is a strict generalization of other known ones, e.g., backwards induction. As we will observe, the unbounded chain of beliefs underlying our rationality constraints can be finitely represented and rather surprisingly effectively resolved (Proposition 12). |
| Researcher Affiliation | Academia | Paolo Turrini Department of Computing Imperial College London 180 Queen s Gate, SW7 2RH London United Kingdom |
| Pseudocode | Yes | We show constructively (Algorithms 1-4) that this solution concept always exists (Theorem 8) and is a strict generalization of other known ones, e.g., backwards induction. |
| Open Source Code | No | The paper is theoretical and focuses on algorithm design and game theory concepts. It does not discuss implementation or release of code. |
| Open Datasets | No | The paper is theoretical and focuses on developing a new game-theoretic model and solution concept, not on empirical evaluation using datasets. Therefore, there is no mention of dataset availability. |
| Dataset Splits | No | The paper is theoretical and focuses on developing a new game-theoretic model and solution concept, not on empirical evaluation using datasets. Therefore, there are no dataset splits. |
| Hardware Specification | No | The paper is theoretical, focusing on mathematical and algorithmic aspects of game theory. It does not describe practical implementations or experiments that would require detailing hardware. |
| Software Dependencies | No | The paper is theoretical, focusing on mathematical and algorithmic aspects of game theory. It does not describe practical implementations or experiments that would require detailing software dependencies with version numbers. |
| Experiment Setup | No | The paper is theoretical, focusing on mathematical and algorithmic aspects of game theory. It does not describe practical implementations or experiments that would require detailing an experimental setup. |