Soar - Planning

Description

• Soar's decision cycle provides a natural foundation for planning tasks.
• In solving a problem, Soar attempts to find a set of operators that lead from a given state to a goal state. This string of operators can be viewed as a plan to move the agent from the initial to goal state.
• When SOAR reaches an impasse, in that it does not know the next operator, it forms a sub-goal to choose the next operator. Within this sub-goal it can perform a look-ahead search, simulating the effect of different operators on the current state, in order to determine which operator to apply next.