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Questions and Answers
What is the first step in the revised approach to find a path from A to E?
What is the first step in the revised approach to find a path from A to E?
When the frontier is empty, what does that indicate in the pathfinding process?
When the frontier is empty, what does that indicate in the pathfinding process?
What should you do after expanding a node during pathfinding?
What should you do after expanding a node during pathfinding?
In the context of this pathfinding approach, what does the 'explored set' represent?
In the context of this pathfinding approach, what does the 'explored set' represent?
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What occurs if the node removed from the frontier contains the goal state?
What occurs if the node removed from the frontier contains the goal state?
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What does a search problem consist of?
What does a search problem consist of?
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In the context of search problems, what is meant by the 'state space'?
In the context of search problems, what is meant by the 'state space'?
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What is a goal test in a search problem?
What is a goal test in a search problem?
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Which of the following correctly represents the components of a states and actions problem?
Which of the following correctly represents the components of a states and actions problem?
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What characterizes a state space graph in search problems?
What characterizes a state space graph in search problems?
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What does a state space graph primarily represent?
What does a state space graph primarily represent?
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In a search graph, how often does a state occur?
In a search graph, how often does a state occur?
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What is the role of arcs in a state space graph?
What is the role of arcs in a state space graph?
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What best describes nodes in a search tree?
What best describes nodes in a search tree?
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Why can we rarely build the full state space graph in memory?
Why can we rarely build the full state space graph in memory?
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How does a search tree differ from a state space graph?
How does a search tree differ from a state space graph?
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What is the significance of the goal test in a state space graph?
What is the significance of the goal test in a state space graph?
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What insight does the search tree provide about plans?
What insight does the search tree provide about plans?
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What should be done if the frontier is empty during the pathfinding process?
What should be done if the frontier is empty during the pathfinding process?
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In the pathfinding method described, what is the initial state that is contained in the frontier?
In the pathfinding method described, what is the initial state that is contained in the frontier?
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Which action is taken after a node is removed from the frontier?
Which action is taken after a node is removed from the frontier?
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What does it mean if a node contains a goal state?
What does it mean if a node contains a goal state?
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What is meant by 'expanding a node' in the context of pathfinding?
What is meant by 'expanding a node' in the context of pathfinding?
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If a node is not the goal state, which of the following actions is NOT part of the process?
If a node is not the goal state, which of the following actions is NOT part of the process?
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What should be monitored closely to avoid failure in pathfinding?
What should be monitored closely to avoid failure in pathfinding?
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Which of the following steps comes first in the iterative pathfinding algorithm?
Which of the following steps comes first in the iterative pathfinding algorithm?
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What does the successor function provide for a given state?
What does the successor function provide for a given state?
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Which of the following best describes a goal test?
Which of the following best describes a goal test?
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What is the significance of the path cost function?
What is the significance of the path cost function?
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In the context of problem-solving agents, what constitutes a solution to a problem?
In the context of problem-solving agents, what constitutes a solution to a problem?
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Which statement accurately describes 'state space'?
Which statement accurately describes 'state space'?
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What is represented by the step cost function denoted as $c(x, a, y)$?
What is represented by the step cost function denoted as $c(x, a, y)$?
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In the Romania example, which of the following represents the goal?
In the Romania example, which of the following represents the goal?
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What does avoiding repeated states aim to achieve in problem-solving?
What does avoiding repeated states aim to achieve in problem-solving?
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What is the action taken by the vacuum agent if the current square is clean?
What is the action taken by the vacuum agent if the current square is clean?
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In the 8-queens problem, how does a complete state formulation start?
In the 8-queens problem, how does a complete state formulation start?
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What does the goal test for the vacuum agent check?
What does the goal test for the vacuum agent check?
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What configuration defines the initial state in the 8-queens problem?
What configuration defines the initial state in the 8-queens problem?
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In the context of the 8 puzzle, what is necessary for a tile to move?
In the context of the 8 puzzle, what is necessary for a tile to move?
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What is the path cost in the vacuum agent model?
What is the path cost in the vacuum agent model?
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What represents a state in the 8-queens problem?
What represents a state in the 8-queens problem?
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What is the action taken when the vacuum agent encounters dirt in its current square?
What is the action taken when the vacuum agent encounters dirt in its current square?
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Study Notes
Goal-based Agents
- Reflex agents map states to actions.
- Goal-based agents use problem-solving or planning.
- Goal-based agents work towards defined goals.
- Agents consider the impact of actions on future states.
- The agent's job is to find the actions or series of actions which achieve the goal.
- Agents can be formalized as a search through possible solutions.
- Examples include mazes and the 8-queen problem.
Problem Solving as Search
- Solving a problem involves defining a problem and then searching for a solution.
- The problem definition includes goal formulation and problem formulation.
- Search is a two-stage process including:
- Mental or offline exploration of possibilities.
- Executing the found solution.
Problem Formulation
- Initial state: The starting point of the agent.
- States: All states reachable from the initial state.
- Actions: Available actions at a state.
- Transition model: Describes what each action does.
- Goal test: Checks if a given state is a goal state.
- Path cost: Assigns a numeric cost to a path based on performance measures.
Examples
- The 8-queen problem involves placing 8 queens on a chessboard without any attacking each other.
- Finding a path in Romania involves determining the shortest route to Bucharest.
- 8-puzzle involves sliding numbered tiles to reach a target configuration.
- Finding a solution to a Maze.
Search Problems
- A search problem includes:
- A state space.
- A successor function (actions, costs).
- A start state.
- A goal test.
- A solution that's a sequence of actions that transforms the start state to a goal state
Search Problems are Models
- Search problems provide a way to represent problem configurations.
- This allows for an agent to determine how to solve a problem.
State Space Graphs and Search Trees
- A state space graph shows all possible world configurations.
- Arcs represent successor actions.
- A goal test is a set of goal nodes (maybe only one).
- State space graphs are mathematically useful, though often impractical to generate entirely.
- Search trees represent plans and outcomes of possible decisions.
Search Example: Romania
- The states are cities in Romania.
- The successor function is based on paths between cities with costs.
Searching with a Search Tree
- The search involves expanding out potential plans.
- The search maintains a fringe of partial plans to consider.
- The goal is to expand as few tree nodes as possible.
General Tree Search
- The function
TREE-SEARCH
returns a solution or failure. - It initializes the search tree from an initial state.
- It loops until either a solution is found or no more candidates are left.
- The solution is returned if a goal state is found.
Agent, State, Actions, Transition Model, Result, State Space, Goal Test, Path Cost
- Agent: An entity that perceives its environment and acts upon it.
- State: A configuration of the agent and its environment.
- Actions: Choices that can be made in a state.
- Transition Model: Describes the result of applying applicable actions to a given state.
- Result(s, a): Returns the state resulting from an action in a state.
- State Space: The set of all states reachable from the initial state.
- Goal Test: Determines if a state is a goal state.
- Path Cost: A numeric cost associated with a given path.
Revised Approach
- Start with the initial state as a frontier
- Start with an empty explored set
- Loop through until empty frontier occurs
- Remove the node from the frontier
- If goal state, return solution
- Add the node to the explored set
- Expand the node, resulting nodes go to the frontier if they aren't already in the frontier or explored set.
Example: 8-Queens, 8-Puzzle, Route-finding
The problem formulations were provided for these problems previously.
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Description
Test your knowledge on the fundamentals of pathfinding techniques with this quiz. Learn about the critical concepts including frontier, explored set, and goal tests that are essential in understanding search problems. Perfect for students and enthusiasts alike looking to deepen their understanding of algorithms.