Block-Level Goal Recognition Design
Tsz-Chiu Au
摘要
Existing works on goal recognition design (GRD) consider the underlying domain as a classical planning domain and apply modifications to the domain to minimize the worst case distinctiveness. In this paper, we propose replacing existing modifications with blocks, which group several closely related modifications together such that a block can modify a region in a search space with respect to some design constraints. Moreover, there could be blocks within blocks such that the design space becomes hierarchical for modifications at different levels of granularity. We present 1) a new version of pruned-reduce, a successful pruning rule for GRD, for block-level GRD, and 2) a new pruning rule for pruning some branches in both hierarchical and non-hierarchical design space. Our experiments show that searching in hierarchical design spaces greatly speeds up the redesign process.
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- Information Shaping for Enhanced Goal Recognition of Partially-Informed AgentsSarah Keren, Haifeng Xu, Kofi Kwapong, David C. Parkes 等AAAI 2020 · 被引用 14 次
- Stochastic Goal Recognition Design Problems with Suboptimal AgentsChristabel Wayllace, William YeohAAAI 2022 · 被引用 3 次
- Extended Goal Recognition Design with First-Order Computation Tree LogicTsz-Chiu AuAAAI 2022 · 被引用 2 次
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