MODeM 2025: Multi-Objective Decision Making Workshop at ECAI 2025
MODeM 2025: Multi-Objective Decision Making Workshop at ECAI 2025, covering all aspects of multi-objective decision making in relation to intelligent systems and autonomous agents.
Following the success of previous editions, the Multi-Objective Decision Making 2025 (MODeM 2025) workshop will be held in person at ECAI 2025, on 25/26 October in Bologna, Italy.
MODeM 2025 covers all aspects of multi-objective/multi-criteria/multi-attribute decision making in relation to intelligent systems and autonomous agents.
Further details are available on the workshop website: https://modem2025.vub.ac.be/
The workshop targets high-quality original papers covering all aspects of multi-objective decision making, including:
- Multi-objective/multi-criteria/multi-attribute decision making
- Multi-objective reinforcement learning
- Multi-objective planning and scheduling
- Multi-objective multi-agent decision making
- Multi-objective game theory
- Multi-objective/multi-criteria/multi-attribute utility theory
- Preference elicitation for MODeM
- Social choice and MODeM
- Multi-objective decision support systems
- Multi-objective metaheuristic optimisation (e.g. evolutionary algorithms) for autonomous agents and multi-agent systems
- Multi-objectivisation
- Human-AI alignment through multi-objective modelling
- Ethical AI through multi-objective modelling
- Explainable AI through multi-objective modelling
- Interactive systems for MODeM
- Applications of MODeM
- Interdisciplinary work (MODeM research that relates to other fields)
- New benchmark problems for MODeM
Important Dates:
- Submissions deadline: 15 July 2025 (23:59 AoE)
- Notification of acceptance: 15 August 2025
- Camera-ready copies: 15 September 2025
- Workshop: 25 or 26 October 2025 (TBA)
Papers can be submitted through EasyChair: https://easychair.org/conferences?conf=modem2025
Tags: MODeM 2025, Multi-Objective Decision Making, ECAI 2025, Workshop, Artificial Intelligence, Machine Learning, Autonomous Agents, Decision Making