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AI (Terminology, Algorithm, Problem Solving, Search Techniques,…

- - - - Initial State: This state requires an initial state for the problem which starts the AI agent towards a specified goal. In this state new methods also initialize problem domain solving by a specific class
      - Action function: Take state as input and return a set of possible actions that the agent can execute when the agent is in the state.
        Action(s) -> {a1, a2, a3, ...}
      - Result function: Take state and action as input and delivers a new state
        Result(s, a) -> s'
      - GoalTest funtion: Take state and return True or False, telling if this data is a goal or not
        GoalTest(s) -> T/F
      - PathCost funtion: Take a path which is sequences of state actions transitions and return a number, which is the cost of that path. Normally the PathCost funtion is the total cost of each step, implement in the StepCost function
        PathCost(s->s->s) -> n
      - StepCost function: Take state, action, and the result from that action (s') to return the cost of that action, which is number n
        StepCost(s, a, s') -> n
        Ex: In the route-finding example, the cost might be the number of miles traveled or the number of minutes it takes to get to the destination