πŸ”¬

Extending planning knowledge using ontologies for goal opportunities

πŸ“… 2019
technical research breakthrough
πŸ”΅ Rare

πŸ“– Description

Extending planning knowledge using ontologies for goal opportunities Mohannad Babli, Universitat Polit?cnica de Val?ncia, Department of Computer Systems and Computation, Valencia, Spain, [email address redacted] Eva Onaindia, Universitat Polit?cnica de Val?ncia, Department of Computer Systems and Computation, Valencia, Spain, [email address redacted] Eliseo Marzal, Universitat Polit?cnica de Val?ncia, Department of Computer Syst ems and Computation, Valencia, Spain, [email address redacted] Abstract. Approaches to goal -directed behaviour including online planning and opportunistic planning tackle a change in the environment by generating alternative goals to avoid failures or seize opportunities. However, current approaches only address unanticipated changes related to objects or object t ypes already defined in the planning task that is being solved. This article describes a domain - independent approach that advances the state of the art by extending the knowledge of a planni...

πŸ“Š Game Impacts

Not verified in game

Which variables this event was proposed to move, and in which direction. The magnitudes are held in the corpus but are not shown here, because they have not been verified against the shipped game. They come from pdoom-data. They describe what an event was proposed to do, not what the shipped game does with it. Most events in the corpus are flavour: they are shown for colour and do not move any game variable. Only a small minority reach the systems below, and several of the variables listed here are not read by the game at all yet. Treat this table as a design proposal under review, not as a measurement of play. Corrections and arguments are welcome — the suggestion links at the foot of this page go straight to the data repo.

Variable Direction Condition
Research proposed: up Always
Papers proposed: up Always
Vibey Doom proposed: up Always

πŸ’­ Reactions

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πŸ”— Sources

🏷️ Event Metadata

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