In Artificial Intelligence, which option gives the most general condition for an environment to be uncertain, including either source of uncertainty or both?
Not fully observable or not deterministic
Uncertainty can arise because the agent cannot fully observe the relevant state or because the next state is not determined by the current state and action. The inclusive OR covers either source alone and both together. The other options describe only particular cases.
Important Questions from Artificial Intelligence - Teaching
- Which of the following best describes Generative AI?
- Which one of the following is not matching the broad functionality?
Which of the following languages is suitable for artificial intelligence?
- Which organization developed ChatGPT?
Match the search algorithms to the properties below. Assume finite branching, positive step costs, and admissible heuristics for the A* variants.
List I:
(A) Greedy best-first tree search without cycle checking
(B) Standard A* retaining its search frontier
(C) Recursive best-first search (RBFS)
(D) Simplified memory-bounded A* (SMA*)
List II:
(I) Uses \(O(bd)\) memory, where \(b\) is the branching factor and \(d\) is the maximum retained path depth.
(II) Can be incomplete on a finite state graph because it may repeatedly traverse a cycle.
(III) Finds an optimal solution if sufficient memory can retain an optimal path; otherwise finds the best solution reachable within the memory bound.
(IV) May require exponential time and memory in the worst case.
Choose the correct answer from the options given below.
