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The 16th Multidisciplinary Workshop on Advances in Preference Handling (M-PREF 2025) addresses all computational aspects of preference handling. This includes methods for the elicitation, learning, modeling, representation, aggregation, and management of preferences and for reasoning about preferences. The workshop studies the usage of preferences in computational tasks from decision making, database querying, web search, personalized human-computer interaction, personalized recommender systems, e-commerce, multi-agent systems, game theory, social choice, combinatorial optimization, planning and robotics, automated problem solving, perception and natural language understanding and other computational tasks involving choices.
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Dear Dr.
Artificial Intelligence has recently experienced remarkable progress, largely driven by deep learning and Big data.