Hierarchical Task Networks
Hierarchical Task Networks is a planning formalism in artificial intelligence that represents complex tasks as a hierarchy of decomposable actions, where high-level tasks are recursively broken down into simpler subtasks until primitive executable actions are reached.
144
Publications
8.8K
Citations
303
Authors
133
Institutions
Publications per year
2017–2026
41
Variants
Htns
Parents
144
HTN planning: complexity and expressivity
Kutluhan Erol, James Hendler, Dana Nau · 1994 · 621 citations
Character-based interactive storytelling
Marc Cavazza, Fred Charles, Steven J. Mead · IEEE Intelligent Systems · 2002 · 347 citations · Full text
Arts, Design, Interaction Design +16
1–5 of 144
303
17
h-index
11
h-index
10
h-index
9
h-index
8
h-index
1–5 of 303
133
University of Maryland, College Park
College Park, United States
17 h-index
42 publications
6.4K citations

Lehigh University
Bethlehem, United States
10 h-index
17 publications
861 citations

United States Naval Research Laboratory
Washington, United States
8 h-index
14 publications
478 citations
Smart Information Flow Technologies (United States)
Minneapolis, United States
6 h-index
7 publications
165 citations
Universität Ulm
Ulm, Germany
6 h-index
13 publications
504 citations
Teesside University
Middlesbrough, United Kingdom
5 h-index
14 publications
1.8K citations

Universidad de Granada
Granada, Spain
4 h-index
11 publications
513 citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
6 publications
134 citations
1–8 of 133
6 publications · 128 citations
6
h-index
Repository · 5 publications · 128 citations
5
h-index
4 publications · 491 citations
4
h-index
4 publications · 150 citations
4
h-index
Conference · 4 publications · 148 citations
4
h-index
1–5