___________ algorithm uses similarities among them for finding their respective classes if they have not known their target value
Answers
Answer:
Artificial Intelligence is the study of building agents that act rationally. Most of the time, these agents perform some kind of search algorithm in the background in order to achieve their tasks.
A search problem consists of:
A State Space. Set of all possible states where you can be.
A Start State. The state from where the search begins.
A Goal Test. A function that looks at the current state returns whether or not it is the goal state.
The Solution to a search problem is a sequence of actions, called the plan that transforms the start state to the goal state.
This plan is achieved through search algorithms.
Types of search algorithms
There are far too many powerful search algorithms out there to fit in a single article. Instead, this article will discuss six of the fundamental search algorithms, divided into two categories, as shown below.
Categories of search algorithms in AI
Note that there is much more to search algorithms that the chart I have provided above. However, this article will mostly stick to the above chart, exploring the algorithms given there.
Explanation: