State space search is the most straight forward approach for planning algorithm because it takes account of everything for finding a solution.
The most straightforward approach for a planning algorithm is typically the “brute-force search” method. In this approach, the algorithm systematically explores all possible states and actions from a given starting point until it finds a solution or exhausts all possibilities. While this approach can be effective for small problem spaces, it can become computationally expensive and impractical for larger or more complex problems due to the exponential growth in the search space. Other more sophisticated planning algorithms, such as heuristic search methods like A* or dynamic programming, are often employed to improve efficiency and scalability. However, in terms of simplicity and ease of implementation, brute-force search remains the most straightforward approach.