Towards a Safer Planning and Execution Concept
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00315071" target="_blank" >RIV/68407700:21230/17:00315071 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11320/17:10369868
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Towards a Safer Planning and Execution Concept
Original language description
Acting of intelligent entities, or agents, is determined by their ability to deliberatively reason towards longer-term goals while being able to react to unexpected situations. In particular, the agent generates a plan and while the plan is being executed the agent monitors the environment and eventually reacts to avoid possibly dangerous situations. In this paper, we present a concept of ``safe'' planning and execution framework that defines the notion of ``dangerous'' states the agent should avoid and evaluates how agent's possible actions influence ``dangerousness'' of its situation. In particular, we introduce three ``clever'' agents accommodating such a framework providing three different strategies of handling ``dangerous'' situations occurring during the plan execution.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GJ17-17125Y" target="_blank" >GJ17-17125Y: Balancing Deliberative and Reactive Behaviour of Intelligent Agents</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence (ICTAI)
ISBN
978-1-5386-3876-7
ISSN
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e-ISSN
1082-3409
Number of pages
5
Pages from-to
972-976
Publisher name
IEEE Computer Society Press
Place of publication
New York
Event location
Boston
Event date
Nov 6, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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