On Eventual Applicability of Plans in Dynamic Environments with Cyclic Phenomena
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F21%3A00352534" target="_blank" >RIV/68407700:21230/21:00352534 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/00216208:11320/21:10437328
Výsledek na webu
<a href="https://doi.org/10.24963/kr.2021/18" target="_blank" >https://doi.org/10.24963/kr.2021/18</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.24963/kr.2021/18" target="_blank" >10.24963/kr.2021/18</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
On Eventual Applicability of Plans in Dynamic Environments with Cyclic Phenomena
Popis výsledku v původním jazyce
Planning and acting in dynamic environments deals with non-deterministic events that might change the state of the environment without consent of the agent. In the worst case, some events might cause the agent to become ``trapped'' in a dead-end state, which in practice might mean damage or destruction of the agent. Presence of non-deterministic events often considerably increases the number of alternatives that might occur in a single step and hence traditional non-deterministic planning techniques might not scale. In this paper, we address a class of problems where non-deterministic events represent ``cyclic phenomena''. If they interfere with the agent, they might be dangerous for it (e.g. ships cruising through the area of AUV operations). We present techniques that initially analyse the problem whether it falls within this class by considering the notion of event reversibility and if so, these techniques generate a plan such that encountered unsafe states, in which the ``cyclic phenomena'' might interfere with the agent, can be eventually crossed without any risk of ``falling'' into a dead-end state. Our approach is evaluated in the AUV and Perestroika domains.
Název v anglickém jazyce
On Eventual Applicability of Plans in Dynamic Environments with Cyclic Phenomena
Popis výsledku anglicky
Planning and acting in dynamic environments deals with non-deterministic events that might change the state of the environment without consent of the agent. In the worst case, some events might cause the agent to become ``trapped'' in a dead-end state, which in practice might mean damage or destruction of the agent. Presence of non-deterministic events often considerably increases the number of alternatives that might occur in a single step and hence traditional non-deterministic planning techniques might not scale. In this paper, we address a class of problems where non-deterministic events represent ``cyclic phenomena''. If they interfere with the agent, they might be dangerous for it (e.g. ships cruising through the area of AUV operations). We present techniques that initially analyse the problem whether it falls within this class by considering the notion of event reversibility and if so, these techniques generate a plan such that encountered unsafe states, in which the ``cyclic phenomena'' might interfere with the agent, can be eventually crossed without any risk of ``falling'' into a dead-end state. Our approach is evaluated in the AUV and Perestroika domains.
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
Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2021
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 18th International Conference on Principles of Knowledge Representation and Reasoning
ISBN
978-1-956792-99-7
ISSN
2334-1033
e-ISSN
—
Počet stran výsledku
10
Strana od-do
184-193
Název nakladatele
International Joint Conferences on Artificial Intelligence Organization
Místo vydání
—
Místo konání akce
Virtual conference
Datum konání akce
3. 11. 2021
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—