The AI Seminar is a weekly meeting at the University of Alberta where researchers interested in artificial intelligence (AI) can share their research. Presenters include both local speakers from the University of Alberta and visitors from other institutions. Topics can be related in any way to artificial intelligence, from foundational theoretical work to innovative applications of AI techniques to new fields and problems.
Abstract:
We propose a visualization tool to explain synthesized heuristic formulae on video-game maps. We show examples of applying the tool to improve existing heuristic formulae. Furthermore, we show empirical results of synthesizing heuristic formulae with constrained subformula sizes and show that the constraints impose less effect on average for problems with varying goal locations than for problems with a shared goal location, and in general such constraints do not hurt heuristic’s guiding performance while improving their explainability.
Presenter Bio:
Shuwei Wang is a MSc. student in the Department of Computing Science at the University of Alberta, working with Prof. Vadim Bulitko. His research focuses on generating and explaining search heuristics. His general research interests include explainable AI, heuristic search and program synthesis.
Негізгі бет Ғылым және технология AI Seminar 2024: Improving Formula-Represented Heuristic Functions in Grid Pathfinding, Shuwei Wang
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