A General-Purpose Protocol for Multi-agent Based Explanations
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-40878-6_3
Reference21 articles.
1. Barredo Arrieta, A., et al.: Explainable explainable artificial intelligence (XAI): concepts, taxonomies, opportunities and challenges toward responsible AI. Inf. Fusion 58, 82–115 (2020). https://doi.org/10.1016/j.inffus.2019.12.012
2. Bellifemine, F.L., Caire, G., Greenwood, D.: Developing Multi-Agent Systems with JADE. Wiley, Hoboken (2007). http://eu.wiley.com/WileyCDA/WileyTitle/productCd-0470057475.html
3. Buzcu, B., Varadhajaran, V., Tchappi, I., Najjar, A., Calvaresi, D., Aydogan, R.: Explanation-based negotiation protocol for nutrition virtual coaching. In: Aydogan, R., Criado, N., Lang, J., Sánchez-Anguix, V., Serramia, M. (eds.) PRIMA 2022: Principles and Practice of Multi-Agent Systems - 24th International Conference, Valencia, Spain, 16–18 November 2022, Proceedings. Lecture Notes in Computer Science, vol. 13753, pp. 20–36. Springer, Heidelberg (2022). https://doi.org/10.1007/978-3-031-21203-1_2
4. Calegari, R., Ciatto, G., Omicini, A.: On the integration of symbolic and sub-symbolic techniques for XAI: a survey. Intelligenza Artificiale 14(1), 7–32 (2020). https://doi.org/10.3233/IA-190036
5. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);D Calvaresi,2021
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