Pathfinding Techniques Quiz
42 Questions
0 Views

Choose a study mode

Play Quiz
Study Flashcards
Spaced Repetition

Podcast

Play an AI-generated podcast conversation about this lesson

Questions and Answers

What is the first step in the revised approach to find a path from A to E?

  • Remove a node from the frontier.
  • Start with an empty explored set. (correct)
  • Initialize the frontier with the goal state.
  • Check if the goal state is contained within the node.
  • When the frontier is empty, what does that indicate in the pathfinding process?

  • The goal state has been reached.
  • A solution has been found.
  • There are unexplored nodes remaining.
  • No solution exists. (correct)
  • What should you do after expanding a node during pathfinding?

  • Immediately return the node as the solution.
  • Add the resulting nodes to the frontier only if they are not in the explored set. (correct)
  • Add the resulting nodes to the explored set before the frontier.
  • Delete the node from the frontier.
  • In the context of this pathfinding approach, what does the 'explored set' represent?

    <p>Nodes that have already been checked during the search.</p> Signup and view all the answers

    What occurs if the node removed from the frontier contains the goal state?

    <p>The solution is returned immediately.</p> Signup and view all the answers

    What does a search problem consist of?

    <p>A state space, a successor function, a start state, and a goal test</p> Signup and view all the answers

    In the context of search problems, what is meant by the 'state space'?

    <p>The collection of all possible states relevant for planning</p> Signup and view all the answers

    What is a goal test in a search problem?

    <p>A condition that checks if a state is the desired goal state</p> Signup and view all the answers

    Which of the following correctly represents the components of a states and actions problem?

    <p>States are locations with associated actions, and Successors update the location.</p> Signup and view all the answers

    What characterizes a state space graph in search problems?

    <p>Nodes represent abstracted configurations and arcs represent successor actions.</p> Signup and view all the answers

    What does a state space graph primarily represent?

    <p>A mathematical representation of a search problem</p> Signup and view all the answers

    In a search graph, how often does a state occur?

    <p>Only once</p> Signup and view all the answers

    What is the role of arcs in a state space graph?

    <p>To represent successors resulting from actions</p> Signup and view all the answers

    What best describes nodes in a search tree?

    <p>Plans that lead to achieving states</p> Signup and view all the answers

    Why can we rarely build the full state space graph in memory?

    <p>The graph is usually too large</p> Signup and view all the answers

    How does a search tree differ from a state space graph?

    <p>A search tree shows direct plans, while a state space graph shows configurations</p> Signup and view all the answers

    What is the significance of the goal test in a state space graph?

    <p>It is a set of nodes that represent goals</p> Signup and view all the answers

    What insight does the search tree provide about plans?

    <p>It shows the potential outcomes of various plans</p> Signup and view all the answers

    What should be done if the frontier is empty during the pathfinding process?

    <p>Stop the process as there is no solution.</p> Signup and view all the answers

    In the pathfinding method described, what is the initial state that is contained in the frontier?

    <p>The starting point or initial node.</p> Signup and view all the answers

    Which action is taken after a node is removed from the frontier?

    <p>Expand the node and add resulting nodes to the frontier.</p> Signup and view all the answers

    What does it mean if a node contains a goal state?

    <p>The search can be concluded with a solution.</p> Signup and view all the answers

    What is meant by 'expanding a node' in the context of pathfinding?

    <p>Generating the child nodes from the current node.</p> Signup and view all the answers

    If a node is not the goal state, which of the following actions is NOT part of the process?

    <p>Return to the last node and try a different path.</p> Signup and view all the answers

    What should be monitored closely to avoid failure in pathfinding?

    <p>The growth of the search tree.</p> Signup and view all the answers

    Which of the following steps comes first in the iterative pathfinding algorithm?

    <p>Initialize the frontier with the initial state.</p> Signup and view all the answers

    What does the successor function provide for a given state?

    <p>A set of (action, successor) pairs that can lead to new states.</p> Signup and view all the answers

    Which of the following best describes a goal test?

    <p>It checks if a given state is a goal state.</p> Signup and view all the answers

    What is the significance of the path cost function?

    <p>It assigns a numeric cost to each path taken.</p> Signup and view all the answers

    In the context of problem-solving agents, what constitutes a solution to a problem?

    <p>A path from the initial state to the goal state.</p> Signup and view all the answers

    Which statement accurately describes 'state space'?

    <p>It contains all states reachable from the initial state.</p> Signup and view all the answers

    What is represented by the step cost function denoted as $c(x, a, y)$?

    <p>The cost associated with taking action a from state x to state y.</p> Signup and view all the answers

    In the Romania example, which of the following represents the goal?

    <p>Reaching Bucharest by any means.</p> Signup and view all the answers

    What does avoiding repeated states aim to achieve in problem-solving?

    <p>Enhance the efficiency of the search process.</p> Signup and view all the answers

    What is the action taken by the vacuum agent if the current square is clean?

    <p>Do nothing</p> Signup and view all the answers

    In the 8-queens problem, how does a complete state formulation start?

    <p>With 8 queens already on the board</p> Signup and view all the answers

    What does the goal test for the vacuum agent check?

    <p>If all squares are clean</p> Signup and view all the answers

    What configuration defines the initial state in the 8-queens problem?

    <p>No queens on the board</p> Signup and view all the answers

    In the context of the 8 puzzle, what is necessary for a tile to move?

    <p>The tile must be adjacent to the blank space</p> Signup and view all the answers

    What is the path cost in the vacuum agent model?

    <p>The number of actions taken</p> Signup and view all the answers

    What represents a state in the 8-queens problem?

    <p>Any arrangement of 0 to 8 queens</p> Signup and view all the answers

    What is the action taken when the vacuum agent encounters dirt in its current square?

    <p>Suck up the dirt</p> Signup and view all the answers

    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.
    • 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.
    • 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.

    Studying That Suits You

    Use AI to generate personalized quizzes and flashcards to suit your learning preferences.

    Quiz Team

    Related Documents

    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.

    More Like This

    Use Quizgecko on...
    Browser
    Browser