Zobrazeno 1 - 10
of 92
pro vyhledávání: '"goal reasoning"'
Akademický článek
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Akademický článek
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Publikováno v:
Journal of Experimental & Theoretical Artificial Intelligence. 33:867-889
Goal-driven autonomy is an agent model for managing a dynamic environment by reasoning about current and potential goals while planning and acting. Since unexpected events and conditions may cause ...
Autor:
Noah Reifsnyder, Héctor Muñoz-Avila
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783030821920
IntelliSys (1)
IntelliSys (1)
One of the crucial capabilities for robust agency is self-assessment, namely, the capability of the agent to compute its own boundaries. A method of assessing these boundaries is using so-called expectations: constructs defining the boundaries of an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d281ccc0ebb061dec6b25e13af2d206
https://doi.org/10.1007/978-3-030-82193-7_32
https://doi.org/10.1007/978-3-030-82193-7_32
Publikováno v:
AAAI
In part motivated by topics such as agency safety, there is an increasing interest in goal reasoning, a form of agency where the agents formulate their own goals. One of the crucial aspects of goal reasoning agents is their ability to detect if the e
Publikováno v:
Pattern Recognition Letters. 118:85-93
Robots need to exhibit proactive behavior if they are to be accepted in human-centered environments. A proactive robot must reason about the actions it can perform, the state of the environment, the state and the intentions of its users, and what the
Autor:
Kondrakunta, Sravya
A significant issue in cognitive systems research is to make an agent formulate and manage its own goals. Some cognitive scientists have implemented several goal operations to support this issue, but no one has implemented more than a couple of goal
Autor:
Gogineni, Venkatsampath Raja
Autonomous agents in a multi-agent system coordinate to achieve their goals. However, in a partially observable world, current multi-agent systems are often less effective in achieving their goals. In much part, this limitation is due to an agent's l
This work follow the verification as planning paradigm and propose to use model-checking techniques to solve planning and goal reasoning problems for autonomous systems with high-degree of assurance. It presents a novel modelling framework — Goal T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::437ad87492699cd90d639348533b4bba
https://hdl.handle.net/11541.2/147033
https://hdl.handle.net/11541.2/147033
Autor:
Gerhard Lakemeyer, Tarik Viehmann, Mostafa Gomaa, Daniel Habering, Tim Niemueller, Till Hofmann
Publikováno v:
ICAART (1)