Publications

Journals

Liscio, E., Van der Meer, M., Siebert, L.C., Jonker, C.M., Mouter, N. and Murukannaiah, P.K. (2022). What Values should an Agent Align with? An Empirical Comparison of General and Context-Specific Values. Autonomous Agents and Multi-Agent Systems. [https://pubmed.ncbi.nlm.nih.gov/35369362/]
Zatarain Salazar, J., Castelletti, A. and Giuliani, M. (2022). Multi-Objective Robust Planning Tools. Oxford Research Encyclopedia of Environmental Science. [https://oxfordre.com/environmentalscience/environmentalscience/display/10.1093/acrefore/9780199389414.001.0001/acrefore-9780199389414-e-626]
Yuan, G., Singh, M.P. and Murukannaiah, P.K. (2021). An interpretable framework for investigating the neighborhood effect in POI recommendation, PLOS ONE. Public Library of Science. [https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0255685]
Jafino, B.A., Kwakkel, J.H. and Taebi, B. (2021). Enabling assessment of distributive justice through models for climate change planning: A review of recent advances and a research agenda. A review of recent advances and a research agenda. Wiley Interdisciplinary Reviews: Climate Change. [https://wires.onlinelibrary.wiley.com/doi/full/10.1002/wcc.721]

Conferences

Osika Z., Zatarain Salazar J., Roijers D. M., Oliehoek F. A. and Murukannaiah P. K. (2023). What Lies Beyond Pareto Front? A survey on Multi-Objective Decision Support Tools. Joint Conference on Artificial Intelligence 2023. [https://www.ijcai.org/proceedings/2023/0755.pdf]
Biswas, P., Akoluk, D., Zatarain Salazar, J., Kwakkel, J. and Verbraeck, A. (2023). Exploring the impact of modelling assumptions on distributive justice using JUSTICE. Darwin, Northern Territory, Australia. [https://mssanz.org.au/modsim2023/]
Van der Meer, M., Liscio, E., Jonker, C.M., Plaat, A., Vossen, P. and Murukannaiah, P.K. (2022). HyEnA: A Hybrid Method for Extracting Arguments from Opinions. First International Conference on Hybrid Human-Artificial Intelligence, Amsterdam. [https://www.researchgate.net/publication/363794148_HyEnA_A_Hybrid_Method_for_Extracting_Arguments_from_Opinions]
Siebert, L.C., Liscio, E., Murukannaiah, P.K., Kaptein, L., Spruit, S., Van den Hoven, J, and Jonker, C.M. (2022). Estimating Value Preferences in a Hybrid Participatory System. First International Conference on Hybrid Human-Artificial Intelligence, Amsterdam. [https://www.researchgate.net/publication/363792317_Estimating_Value_Preferences_in_a_Hybrid_Participatory_System]
Biswas, P., Zatarain Salazar, J. and Kwakkel, J. (2022). Exploring normative uncertainty in adaptive mitigation policies: a methodological approach to incorporate morally informed rival framings in Integrated Assessment Models. DMDU, Mexico city, Mexico. [https://www.2022dmdu.org/abtracts]
Liscio, E., Van der Meer, M., Siebert, L.C., Jonker, C.M., Mouter, N. and Murukannaiah, P.K. (2021). Axies: Identifying and Evaluating Context-Specific Values. 20th Conference on Autonomous Agents and MultiAgent Systems (AAMAS), London. [https://www.ifaamas.org/Proceedings/aamas2021/pdfs/p799.pdf]
Murukannaiah, P.K., Ajmeri, N., Jonker, C.M. and Singh, M.P. (2020). New Foundations of Ethical Multiagent Systems. 19th Conference on Autonomous Agents and MultiAgent Systems (AAMAS), Auckland New Zealand. [https://ii.tudelft.nl/~pradeep/doc/Murukannaiah-2020-AAMASBlueSky-EthicalMAS.pdf]

Workshops

Osika Z., Zatarain Salazar J. and Murukannaiah P. (2023). Multi-Objective Decision-Making: Understanding the Users’ Explainability Needs. Workshop on XAI, Joint Conference on Artificial Intelligence 2023. [https://drive.google.com/file/d/1R1e5hZp9LRI-sQCjvN4MnpTX9jSVQDdQ/view]

Others

Akoluk, D., Zatarain Salazar, J. and Verbraeck, A. (2022). Making normative assumptions explicit: Managing uncertainty in model-based climate change planning with rival ethical framings. DMDU, Mexico city, Mexico. [https://www.2022dmdu.org/abtracts]
Reddel, M., Biswas, P., Zatarain Salazar, J. and Kwakkel, J. (2021). Impact of Ethical Premises on Pareto-Optimal Climate Abatement Pathways. iEMSs, Brussels, Belgium. [https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4702&context=iemssconference]
Akoluk, D., Zatarain Salazar, J. and Verbraeck, A. (2021). Distributive justice principles for integrated assessment models: a comparative study on interregional justice. EGU22, Vienna, Austria. [https://research.tudelft.nl/en/publications/distributive-justice-principles-for-integrated-assessment-models-]
Akoluk, D., Zatarain Salazar, J. and Verbraeck, A. (2021). Exploring the distributive justice principles in integrated assessment models: a trade-off analysis on interregional justice. Scenarios Forum, Laxenburg (IIASA),. [https://pure.iiasa.ac.at/id/eprint/18522/]
Akoluk, D., Zatarain Salazar, J. and Verbraeck, A. (2021). Evolutionary Multi-objective Direct Policy Search to Favor Distributive Justice Principles. iEMSs, Brussels, Belgium. [https://ui.adsabs.harvard.edu/abs/2022EGUGA..2412280A/abstract]
Zatarain Salazar, J., Kwakkel, J. and Witvliet, M. (2021). What family of Radial Basis Functions to use in Direct Policy Search? A comparative analysis. iEMSs, Brussels, Belgium. [https://ui.adsabs.harvard.edu/abs/2022EGUGA..24.9742K/abstract]

Interpretability and Explainability

Guangchao Yuan, Munindar P. Singh, and Pradeep K. Murukannaiah. An interpretable framework for investigating the neighborhood effect in POI recommendation, PLOS ONE, Public Library of Science, 16, (8), pages 1--19, 08, 2021.

Global integrated assessment models and distributive justice

Jafino, B. A., Kwakkel, J. H., & Taebi, B. (2021). Enabling assessment of distributive justice through models for climate change planning: A review of recent advances and a research agenda. A review of recent advances and a research agenda. Wiley Interdisciplinary Reviews: Climate Change, e721.

Publications

Journals

Conferences

Workshops

Others

Interpretability and Explainability

Global integrated assessment models and distributive justice

Jazmin Zatarain Salazar

Faculty of Technology, Policy and Management

Pradeep K. Murukannaiah

Faculty of Electrical Engineering, Mathematics & Computer Science