Artificial Intelligence: Agents and Rationality
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Artificial Intelligence: Agents and Rationality

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Questions and Answers

What is one of the primary goals of the taxi driver as an agent?

  • To eliminate all road traffic
  • To operate without any sensors
  • To provide a comfortable trip for customers (correct)
  • To minimize vehicle maintenance costs
  • Which sensor is specifically used to determine the taxi's speed?

  • Globally positioned sensor
  • Accelerometer
  • Speedometer (correct)
  • Odometer
  • What additional communication method might the taxi have to interact with passengers?

  • Voice synthesizer (correct)
  • Keyboard (correct)
  • Visual display only
  • Remote control
  • Which of the following is NOT a performance measure for the taxi driver?

    <p>Passenger seating capacity</p> Signup and view all the answers

    To navigate curves properly, which sensor is essential for the taxi?

    <p>Accelerometer</p> Signup and view all the answers

    What type of information does a GPS provide to the automated taxi?

    <p>Accurate location in relation to a map</p> Signup and view all the answers

    Which feature is unusual and not typically available to human drivers but crucial for the automated taxi?

    <p>Infrared or SONAR sensors</p> Signup and view all the answers

    What kind of programming is required to assist the taxi in its operational tasks?

    <p>Mapping from percepts to actions</p> Signup and view all the answers

    What defines a rational agent's right action?

    <p>The action that causes the agent to be most successful.</p> Signup and view all the answers

    What is a significant danger when establishing performance measures for agents?

    <p>Rewarding agents based on irrelevant criteria.</p> Signup and view all the answers

    According to the definition, what is necessary for an ideal rational agent to perform its action?

    <p>The ability to perceive its environment and act upon it.</p> Signup and view all the answers

    What is the purpose of measuring performance over the long run for an agent?

    <p>To avoid rewarding short bursts of success.</p> Signup and view all the answers

    Which component is NOT considered when determining what is rational for an agent at any point in time?

    <p>The agent's emotional state.</p> Signup and view all the answers

    In the context of an agent, what does the term 'percept sequence' refer to?

    <p>The complete history of the agent's perceptions.</p> Signup and view all the answers

    How do robotic agents perceive their environment?

    <p>Through cameras and infrared range finders.</p> Signup and view all the answers

    What is one of the main factors influencing an agent's decision about the correct action?

    <p>The agent's knowledge of the environment.</p> Signup and view all the answers

    What characterizes an agent operating in a fully observable environment?

    <p>The agent's sensory apparatus accesses the complete state of the environment.</p> Signup and view all the answers

    In which type of environment does an agent need to consider uncertainty?

    <p>Partially observable stochastic</p> Signup and view all the answers

    What is a significant characteristic of an episodic environment?

    <p>The agent's performance is only dependent on current actions.</p> Signup and view all the answers

    Which of the following indicates that an environment is static for an agent?

    <p>The environment remains unchanged during the agent's deliberation.</p> Signup and view all the answers

    How does a deterministic environment affect an agent's decision-making?

    <p>The next state is completely determined by current state and actions.</p> Signup and view all the answers

    What factor limits the flexibility of an intelligent agent?

    <p>Relying entirely on built-in assumptions.</p> Signup and view all the answers

    Why is autonomy an important feature of an intelligent agent?

    <p>It allows the agent to adapt its behavior based on experience.</p> Signup and view all the answers

    Which of the following best describes a dynamic environment?

    <p>Changes occur outside the agent's control while it's deliberating.</p> Signup and view all the answers

    What is a major limitation of simple reflex agents?

    <p>They require a large look-up table for all possible states.</p> Signup and view all the answers

    What factor differentiates goal-based agents from reflex agents?

    <p>Reflex agents do not consider future actions.</p> Signup and view all the answers

    In the context of goal-based agents, what does the term 'goal information' refer to?

    <p>Descriptions of states that are desirable to achieve.</p> Signup and view all the answers

    How do goal-based agents make decisions at road junctions?

    <p>By considering their current goal and potential actions.</p> Signup and view all the answers

    Why might a goal-based agent be viewed as less efficient?

    <p>It typically requires more complex reasoning over time.</p> Signup and view all the answers

    What is indicated by rectangles in the schematics for agent programs?

    <p>The current internal state of the agent's decision process.</p> Signup and view all the answers

    How do reflex agents primarily determine their actions?

    <p>By relying on a pre-computed action table.</p> Signup and view all the answers

    What type of reasoning does a goal-based agent employ that differs from reflex agents?

    <p>It anticipates future outcomes based on current goals.</p> Signup and view all the answers

    What happens to the behaviors of an agent when it updates its knowledge due to rain?

    <p>All relevant behaviors are altered to suit new conditions.</p> Signup and view all the answers

    How does a goal-based agent compare to a reflex agent when faced with a new destination?

    <p>The goal-based agent generates a new behavior easily.</p> Signup and view all the answers

    What limitation do traditional goals have in guiding agent behavior?

    <p>They are not specific enough for decision-making.</p> Signup and view all the answers

    What does the utility function represent in the context of agents?

    <p>A measure of agent happiness based on state.</p> Signup and view all the answers

    In scenarios with conflicting goals, what role does the utility function play?

    <p>It provides a means to weigh trade-offs between goals.</p> Signup and view all the answers

    Why is utility considered more effective than just using goals for agents?

    <p>Utility can quantify various outcomes in terms of desirability.</p> Signup and view all the answers

    Which of the following is a characteristic of a utility-based agent?

    <p>It considers the likelihood of achieving multiple goals.</p> Signup and view all the answers

    What types of entities can be considered agents?

    <p>Any entity that can react to its environment.</p> Signup and view all the answers

    Study Notes

    Agent Definition

    • An agent can be anything that perceives its environment through sensors and acts upon it through effectors/actuators
    • Human agents use organs like eyes and ears as sensors, and hands, legs, and mouth as effectors
    • Robotic agents use cameras and infrared range finders as sensors, and various motors as effectors
    • Software agents use encoded bit strings as their percepts and actions

    Rational Agent

    • A rational agent is one that performs actions most likely to lead to success
    • Determining success requires defining performance measures
    • Performance measures must be evaluated over the long run to avoid rewarding short-term actions
    • A rational agent's actions depend on its performance measure, percept sequence, knowledge about the environment, and available actions
    • An ideal rational agent maximizes its performance measure based on available evidence

    Agent Requirements

    • An agent should be designed based on both experience and built-in knowledge
    • Autonomy is a valuable trait in agents, allowing them to adapt to changing circumstances
    • Built-in assumptions can limit an agent's flexibility and success in unpredictable environments

    Environment Types

    • Fully Observable: Sensors provide access to the complete state of the environment
    • Partially Observable: Sensors do not detect all relevant aspects of the environment
    • Deterministic: The next state of the environment is completely determined by the current state and agent actions
    • Stochastic: The environment's future state is unpredictable, even with full information
    • Episodic: Agent experiences are divided into independent "episodes"
    • Sequential: Actions taken in one episode can affect subsequent episodes
    • Static: The environment does not change while the agent deliberates
    • Dynamic: The environment can change while the agent is considering its next action

    Example: Taxi Driver

    • The taxi driver agent needs information about its location, road conditions, speed, and vehicle state
    • Sensors like cameras, GPS, and SONAR are used to gather environmental information
    • Actuators include steering, acceleration, braking, and communication with passengers
    • Different aspects of driving require different agent program types

    Reflex Agent

    • Simple agents follow condition-action rules
    • Limitations:
      • Impossible to create a complete look-up table for all possible percepts and actions
      • Not adaptive to changes in the environment
      • Requires significant updates to accommodate changes

    Goal-Based Agents

    • Consider goal information in addition to the current state
    • Use information about the results of possible actions to choose actions that achieve the goal
    • More flexible than reflex agents
    • Can update knowledge and adapt to changes in the environment
    • Able to reach different destinations by simply specifying a new goal

    Utility-Based Agents

    • Use utility functions to compare different world states based on their desirability
    • Provide a way to handle conflicting goals and make decisions when goals can't be achieved with certainty
    • Allow for trade-offs between goals
    • Consider the likelihood of success when evaluating different actions

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    Related Documents

    intelligent agent.pdf

    Description

    Explore the concepts of agents and rational agents in artificial intelligence. This quiz covers various types of agents including human, robotic, and software agents, focusing on their sensors and effectors. Understand the requirements for designing rational agents and how performance measures are critical for their success.

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