Artificial Intelligence Search Problem Components Quiz

What does the solution to a search problem consist of?

What is the root of a search tree in the context of a search problem?

Which function assigns a numeric cost to each path in a search problem?

What type of search guarantees that a solution has the lowest cost among all solutions?

In heuristic search, what is used to traverse the search space?

Which technique involves traversing the search space until the goal node is found, and might involve exhaustive search?

What is the sequence of actions that transforms the start state to the goal state in a search problem called?

Which component of a search problem gives the description of all available actions to the agent?

In a search problem, what is used to represent a tree structure showing all possible states and transitions?

Which search technique involves traversing the search space with applied rules and can use techniques like Greedy Best First Search and A* Algorithm?

What guarantees that a solution found in search has the lowest cost compared to all other solutions?

What function assigns a numeric cost to each path in a search problem?

Search Problem in Artificial Intelligence

A search problem consists of a state space, start state, goal test, and solution.
State space is a set of all possible states where you can be.
Start state is the state from where the search begins.
Goal test is a function that determines whether the current state is the goal state.
Solution is a sequence of actions, called the plan, that transforms the start state to the goal state.

Search Problem Components

Search tree: a tree representation of the search problem, with the root node corresponding to the initial state.
Actions: descriptions of all available actions to the agent.
Transition model: a description of what each action does, represented as a transition model.
Path cost: a function that assigns a numeric cost to each path.
Solution: an action sequence that leads from the start node to the goal node.
Optimal solution: a solution with the lowest cost among all solutions.

Search Techniques

Heuristic search: traverses the search space with applied rules (information).
- Techniques: Greedy Best First Search, A* Algorithm.
Blind search: traverses the search space until the goal node is found (might be exhaustive).
- Techniques: Breadth First, Depth First, Depth Limited, Iterative Deepening, Uniform Cost search.
Blind search guarantees a solution, while heuristic search does not.

Test your knowledge on the components of a search problem in Artificial Intelligence. Learn about state space, start state, goal test, and solution sequence. Explore the concept of a search tree in problem-solving.