Executions are thus modelled as timed words (i.e., sequences of actions with dates).
Learning is addressed both on the level of individual elementary behaviors and goal-directed sequences of actions.
In this paper, we investigate the feasibility of building action-planning mechanisms capable of autonomously determining task-achieving sequences of actions (plans), using previously acquired subsymbolic representations.
Innate behaviors in our model are sequences of actions and enabling conditions, and shaping is a behavior editing process realized by multiple editing mechanisms.
It allows deriving feared scenarios by determining the sequences of actions and state changes leading to the feared state in which the passenger's safety is no longer guaranteed.
The instance-based reinforcement learning methodology comes from the computer science literature, where it was developed to optimize sequences of actions in an evolving, time varying system.
Learning and generating serially ordered sequences of actions is a core component of cognition both in organisms and in artificial cognitive systems.
ISEE-3 can be triggered through radio commands to execute sequences of actions, but it cannot be put into an autonomous mode.
Such architectures have been shown to form scene representations and maps, learn sequences of actions and perceptual states, generate spatial-language descriptions, or orchestrate behavior of a robotic agent.
Although most people believe that planners that delay step-ordering decisions as long as possible are more efficient than those that manipulate totally ordered sequences of actions, this intuition has received little formal justification or empirical validation.
