CORDIS Project
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This project aims to enhance state-space search algorithms in artificial intelligence by addressing their limitations, such as their reliance on monolithic world models and lack of learning from past mistakes. New algorithms will be developed based on a rigorous theoretical framework to improve performance across vario…
State-space search, finding paths in huge, implicitly given graphs, is a fundamental problem in artificial intelligence and other areas of computer science.
State-space search algorithms like A*, IDA* and greedy best-first search are major success stories in artificial intelligence, and hundreds of papers based on variations of these algorithms are published every year.
Due to this success, the major assumptions of these algorithms are rarely questioned.We argue that the current generation of st…
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