On the robustness of domain-independent planning engines: The impact of poorly-engineered knowledge
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00338686" target="_blank" >RIV/68407700:21230/19:00338686 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/00216208:11320/19:10408248
Výsledek na webu
<a href="https://doi.org/10.1145/3360901.3364416" target="_blank" >https://doi.org/10.1145/3360901.3364416</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3360901.3364416" target="_blank" >10.1145/3360901.3364416</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
On the robustness of domain-independent planning engines: The impact of poorly-engineered knowledge
Popis výsledku v původním jazyce
Recent advances in automated planning are leading towards the use of planning engines in a wide range of real-world applications. As the exploitation of planning techniques in applications increases, it becomes imperative to assess the robustness of planning engines with regards to poorly-engineered (or maliciously modified) knowledge models provided as input for the reasoning process. In this work, to understand the impact of poorly-engineered knowledge on planning engines, we consider the perspective of a hypothetical attacker that is interested in subtly manipulating such knowledge to introduce unnecessary overheads that consequently slow down the planning process. This narrative ploy allows us to describe different types of knowledge engineering issues that cannot be detected via validation of the models, and to measure their impact on the performance of a range of planning engines exploiting very different approaches for steps like pre-processing and search.
Název v anglickém jazyce
On the robustness of domain-independent planning engines: The impact of poorly-engineered knowledge
Popis výsledku anglicky
Recent advances in automated planning are leading towards the use of planning engines in a wide range of real-world applications. As the exploitation of planning techniques in applications increases, it becomes imperative to assess the robustness of planning engines with regards to poorly-engineered (or maliciously modified) knowledge models provided as input for the reasoning process. In this work, to understand the impact of poorly-engineered knowledge on planning engines, we consider the perspective of a hypothetical attacker that is interested in subtly manipulating such knowledge to introduce unnecessary overheads that consequently slow down the planning process. This narrative ploy allows us to describe different types of knowledge engineering issues that cannot be detected via validation of the models, and to measure their impact on the performance of a range of planning engines exploiting very different approaches for steps like pre-processing and search.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
<a href="/cs/project/GA18-07252S" target="_blank" >GA18-07252S: MoRePlan: Modelování a reformulace plánovacích problémů</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2019
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Proceedings of the 10th International Conference on Knowledge Capture
ISBN
978-1-4503-7008-0
ISSN
—
e-ISSN
—
Počet stran výsledku
8
Strana od-do
197-204
Název nakladatele
ACM
Místo vydání
New York
Místo konání akce
Marina del Rey
Datum konání akce
19. 11. 2019
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—