Soar - Problem Spaces

Description

• Soar represents all tasks as collections of problem spaces.
• Problem spaces are made up of a set of states and operators that manipulate the states.
• Soar begins work on a task by choosing a problem space, then an initial state in the space. Soar represents the goal of the task as some final state in the problem space.
• Soar repeats its Decision Cycle as necessary to move from the initial state to the current state. Whenever the decision cycle comes to an impasse Soar chooses a new problem space to try to resolve the impasse.
• Information about the problem spaces available to Soar must be given to it before a Task can use those problem spaces.