Hierarchical planning and reasoning about partially ordered plans—From theory to practice

Pascal Bercher

doi:10.1002/aaai.12073

Hierarchical planning and reasoning about partially ordered plans—From theory to practice

Pascal Bercher^*

^*Corresponding author for this work

School of Computing

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

This invited paper (part of the New Faculty Highlights Invited Speaker Program of AAAI'21^*) surveys my work done until today. The reviewed work focuses on hierarchical task network (HTN) planning as well as on partial order causal link (POCL) planning. Lines of research include theoretical investigations (mostly computational complexity analyses), heuristic search, as well as the practical application of the technology for planning-based assistants, which support a human user in carrying out various tasks.

Original language	English
Pages (from-to)	353-364
Number of pages	12
Journal	AI Magazine
Volume	43
Issue number	4
DOIs	https://doi.org/10.1002/aaai.12073
Publication status	Published - 8 Dec 2022

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10.1002/aaai.12073

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abstract = "This invited paper (part of the New Faculty Highlights Invited Speaker Program of AAAI'21*) surveys my work done until today. The reviewed work focuses on hierarchical task network (HTN) planning as well as on partial order causal link (POCL) planning. Lines of research include theoretical investigations (mostly computational complexity analyses), heuristic search, as well as the practical application of the technology for planning-based assistants, which support a human user in carrying out various tasks.",

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Hierarchical planning and reasoning about partially ordered plans—From theory to practice

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