The phrase "abstract action" is correct and usable in written English.
It can be used in contexts discussing concepts, theories, or ideas that are not tied to specific physical actions but rather to general principles or behaviors.
Example: "In philosophy, the concept of abstract action often refers to the mental processes involved in decision-making rather than the physical execution of those decisions."
Alternatives: "conceptual action" or "theoretical action".
The Rule Abstraction model proposed by Badre and D'Esposito (2007, 2009) and Badre (2008) states that as one moves in a caudal to rostral direction across the lateral frontal cortex, the cortex is functionally organized to represent increasingly more abstract action goals/motor acts according to a scheme of policy abstraction.
Goal-directed simulation requires cognitive control to maintain information, make decisions, and coordinate abstract action sequences.
We propose an approach for integrating planning and control based on behavior schemas, which link physical movements to abstract action descriptions.
The 2012 version of this abstract action game, available from its author's website, is certainly a curio, but one that is incredibly addictive and that may offer gamers a gateway to the eccentric fringes of retro gaming.
Because fun is so wrapped up in mastery over dynamic systems, the player is inevitably cast into the position of agent-of-change, and that always involves some kind of real or abstract action.
And the third, called I Was in the War, is an abstract action game where a pixelated player jumps over soldiers, tanks, and helicopters.
Planners for real robotic systems should not only reason about abstract actions, but also about aspects related to physical execution such as kinematics and geometry.
We show how this learning problem can be addressed and solved effectively by means of a reinforcement learning setup that uses abstract actions to select a goal or target towards which a pure bio-mimetic reactive robot must navigate.
This dissertation introduces the HAM method for generating hierarchical, temporally abstract actions.
This method permits the partial specification of abstract actions in a way that corresponds to an abstract plan or strategy.
Abstract actions specified as HAMs can be optimally refined for new tasks by solving a reduced SMDP.
