M
Mark Hendrikx
Researcher at Delft University of Technology
Publications - 9
Citations - 738
Mark Hendrikx is an academic researcher from Delft University of Technology. The author has contributed to research in topics: Negotiation & Game mechanics. The author has an hindex of 7, co-authored 9 publications receiving 621 citations.
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Journal ArticleDOI
Procedural content generation for games: A survey
TL;DR: This is the first comprehensive survey of the field of PCG-G, and introduces a comprehensive, six-layered taxonomy of game content: bits, space, systems, scenarios, design, and derived.
Journal ArticleDOI
Learning about the opponent in automated bilateral negotiation: a comprehensive survey of opponent modeling techniques
TL;DR: All possible ways opponent modeling has been used to benefit agents so far are discussed, and a taxonomy of currently existing opponent models based on their underlying learning techniques is introduced, which provides guidelines for deciding on the appropriate performance measures for every opponent model type in their taxonomy.
Book ChapterDOI
Decoupling Negotiating Agents to Explore the Space of Negotiation Strategies
TL;DR: This work introduces an architecture that distinguishes three components which together constitute a negotiation strategy: the bidding strategy, the opponent model, and the acceptance condition, and shows that existing state of the art agents are compatible with this architecture.
Proceedings ArticleDOI
Predicting the Performance of Opponent Models in Automated Negotiation
TL;DR: The exact relation between the relationship between the quality of an opponent model and its accuracy is investigated, and the measures for accuracy that best predict performance gain are pinpointed.
Book ChapterDOI
Measuring the performance of online opponent models in automated bilateral negotiation
TL;DR: The main goal in this work is to evaluate and compare the performance of a selection of state-of-the-art online opponent modeling techniques in negotiation, and to determine under which circumstances they are beneficial in a real-time, online negotiation setting.