FAQ on Artificial Intelligence

Basically, starts searches forward from an initial state and backward from goal state. As till both meets to identify a common state. Moreover, initial state path is concatenated with the goal state inverse path. Each search is done only up to half of the total path. The bidirectional search algorithm is a search algorithm used … Read more

It is based on the concept of LIFO. As it stands for Last In First Out. Also, implemented in recursion with LIFO stack data structure. Thus, It used to create the same set of nodes as the Breadth-First method, only in the different order. As the path is been stored in each iteration from root … Read more

Basically, we have to start searching for the root node. And continue through neighboring nodes first. Further, moves towards next level of nodes. Moreover, till the solution is found, generates one tree at a time. As this search can be implemented using FIFO queue data structure. This method provides the shortest path to the solution. … Read more

This strategy doesn’t require any domain-specific knowledge. Thus it’s so simple strategy. Hence, it works very smoothly and fine with a small number of possible states. Requirements for Brute Force Algorithms a. State description b. A set of valid operators c. Initial state d. Goal state description In the context of artificial intelligence and problem-solving, … Read more

a. Problem Space Basically, it is the environment in which the search takes place. (A set of states and set of operators to change those states) b. Problem Instance It is a result of Initial state + Goal state. c. Problem Space Graph We use it to represent problem state. Also, we use nodes to … Read more