Argument-based Multi-Issue Negotiation
Authors: Thalya Fossey, Jean-Guy Mailly, Pavlos Moraitis
IJCAI 2025 | Venue PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Our negotiation framework was implemented in Java using the Jade platform (https://jade.tilab.com/). The acceptability of arguments in CAFs was computed with the solver taeydennae [Niskanen et al., 2020b; Niskanen et al., 2020a]. Our experiments include 100 multi-issue negotiations with 2 issues and 100 negotiations with 3 issues, with the number of values for each issue included between min = 3 and max = 5. More details on the benchmark generation are given in the supplementary material. Our results are summarized in Figure 1. We first compare the percentage of agreements between our argument-based multi-issue negotiation protocol and a multi-issue negotiation protocol without argumentation. |
| Researcher Affiliation | Academia | Thalya Fossey1 , Jean-Guy Mailly2 and Pavlos Moraitis1,3 1Universit e Paris Cit e, LIPADE, F-75006 Paris, France 2Universit e Toulouse Capitole, IRIT, Toulouse, France 3Argument Theory, Paris, France EMAIL, EMAIL |
| Pseudocode | Yes | Algorithm 1 choose practical arguments(ω,T α,CAF α,β) Algorithm 2 make Bid(reservation V alue, profileα,β, Ωα, step, message(β, α), T α, CAF α,β) Algorithm 3 accept offer(U α target(t),o(β, α)),T α,CAF α,β) Algorithm 4 negotiation Protocol(reservation V alue, profileα,β, Ωα, step, message(β, α), T α, CAF α,β) |
| Open Source Code | No | The paper mentions that its negotiation framework was implemented using the third-party 'Jade platform' and that the acceptability of arguments was computed with the 'taeydennae' solver. It does not provide an explicit statement or link to the authors' own implementation code for the methodology described. |
| Open Datasets | No | The paper states: "Our experiments include 100 multi-issue negotiations with 2 issues and 100 negotiations with 3 issues, with the number of values for each issue included between min = 3 and max = 5. More details on the benchmark generation are given in the supplementary material." This indicates the use of self-generated data/benchmarks and does not provide concrete access information (link, DOI, citation) to a publicly available or open dataset. |
| Dataset Splits | No | The paper mentions the scale of experiments: "Our experiments include 100 multi-issue negotiations with 2 issues and 100 negotiations with 3 issues", but it does not specify any training, validation, or test splits for this data. |
| Hardware Specification | No | The paper does not provide any specific details about the hardware used to run the experiments, such as CPU or GPU models, memory, or specific cloud computing instances. |
| Software Dependencies | No | The paper mentions the use of "Java using the Jade platform" and the "solver taeydennae", but it does not provide specific version numbers for any of these software components, which is required for reproducibility. |
| Experiment Setup | No | The paper describes the algorithms and general methodology but does not include specific experimental setup details such as hyperparameter values, learning rates, batch sizes, or optimizer configurations in the main text. |