Distributing Coalition Value Calculations to Coalition Members
Authors: Luke Riley, Katie Atkinson, Paul Dunne, Terry Payne
AAAI 2015 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | The DCG algorithm is presented and illustrated by means of an example. We formally prove that our approach allocates all of the coalitions to the agents, and that each coalition is assigned once and only once. The algorithm has been evaluated theoretically, resulting in the proofs that: (a) all coalitions are assigned; and (b) each coalition is assigned once and only once. |
| Researcher Affiliation | Academia | Luke Riley, Katie Atkinson, Paul E. Dunne and Terry R. Payne Department of Computer Science University of Liverpool Liverpool, UK {L.J.Riley, K.M.Atkinson, P.E.Dunne, T.R.Payne}@liverpool.ac.uk |
| Pseudocode | Yes | Algorithm 1: The Distributed Coalition Generation (DCG) Algorithm; Algorithm 2: One possible method to find representative IAs from equivalence classes of . |
| Open Source Code | No | The paper does not provide any information or links regarding the availability of open-source code for the methodology described. |
| Open Datasets | No | The paper is theoretical and does not conduct experiments using a dataset for training or evaluation. It includes an example in Table 1 but this is illustrative, not a dataset used for empirical validation. |
| Dataset Splits | No | The paper is theoretical and does not involve experimental validation with dataset splits (training, validation, test). |
| Hardware Specification | No | The paper is theoretical and does not describe any experiments that would require specific hardware specifications. |
| Software Dependencies | No | The paper is theoretical and does not list any specific software dependencies with version numbers. |
| Experiment Setup | No | The paper is theoretical and focuses on algorithm design and proofs, thus it does not include details about an experimental setup or hyperparameters. |