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Question

Which planning approach is used for environment with no observations?

The correct answer is
Conformant planning

Planning Approach for Environments With No Observations

The planning approach suitable for an environment where no observations are available is Conformant planning.

Understanding Conformant Planning

Conformant planning generates a sequence of actions that are guaranteed to reach the goal, irrespective of the actual state transitions that occur in the environment. This is essential when the agent cannot observe the current state or the effects of its actions. The plan must work for all possible scenarios.

Why Other Options Are Less Suitable

  • Reactive Planning: Requires immediate observations (percepts) to decide the next action. It is unsuitable when there are no observations.
  • Hierarchical Planning: Breaks down high-level goals into smaller, manageable subgoals. While useful for complexity, it doesn't specifically address the lack of observations.
  • Contingency Planning: Involves creating conditional plans that account for different possible outcomes based on observations. This requires the ability to observe the environment.

Therefore, when an environment provides no observations, the agent must rely on a plan that ensures success without needing state information, which is the definition of conformant planning.

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Important Questions from Artificial Intelligence - Teaching

  1. The term 'Artificial Intelligence' was coined by:
  2. In artificial intelligence, the term "Turing Test" is primarily associated with:
  3. Given below are two statements: one is labelled as Assertion A and the other is labelled as Reason R 

    Assertion A: Unsupervised learning algorithms are used for tasks like data summarization and exploratory data analysis. 

    Reason R: Unsupervised learning requires labelled dataset to find relationships and patterns in data.

     In the light of the above statements, choose the most appropriate answer from the options given below

  4. Consider the following statements about reinforcement learning. 

    A. The adaptive dynamic programming agent leaves the transition model between states utilizes to solve the corresponding Markov decision process using dynamic programming. 

    B. Temporal difference needs a transition model to perform its updates. 

    C. The prioritized sweeping heuristic focuses on adjusting states with successors that have undergone significant changes in utility estimates. 

    D. The approach of modified policy iteration involves adopting a simplified value utility estimates following each change to the learned model.

    Choose the correct answer from the options given below : 

  5. Arrange the following sequence related to FASTUS system: 

    A. Basic-group handling 

    B. Structure merging

     C. Tokenization 

    D. Complex phrase handling 

    E. Complex word handling

    Choose the correct answer from the options given below : 

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