Description : Strategies that know whether one non-goal state is “more promising” than another are called ___________ a) Informed & Unformed Search b) Unformed Search c) Heuristic & Unformed Search d) Informed & Heuristic Search
Last Answer : d) Informed & Heuristic Search
Description : Which search strategy is also called as blind search? a) Uninformed search b) Informed search c) Simple reflex search d) All of the mentioned
Last Answer : a) Uninformed search
Description : Uninformed search strategies are better than informed search strategies. a) True b) False
Last Answer : a) True
Description : Which search uses the problem specific knowledge beyond the definition of the problem? a) Informed search b) Depth-first search c) Breadth-first search d) Uninformed search
Last Answer : a) Informed search
Description : What is the other name of informed search strategy? a) Simple search b) Heuristic search c) Online search d) None of the mentioned
Last Answer : b) Heuristic search
Description : Which of the following search strategy uses a problem specific knowledge A : uninformed Search B : Breadth-First-Search C : Heuristic Search D : Best search
Last Answer : C : Heuristic Search
Description : Which of the following search strategy uses a problem specificknowledge A : uninformed Search B : Breadth-First-Search C : Heuristic Search D : Best search
Description : _______________ are mathematical problems defined as a set of objects whose state must satisfy a number of constraints or limitations. a) Constraints Satisfaction Problems b) Uninformed Search Problems c) Local Search Problems d) All of the mentioned
Last Answer : a) Constraints Satisfaction Problems
Description : Which of the following is/are Uninformed Search technique/techniques? a) Breadth First Search (BFS) b) Depth First Search (DFS) c) Bidirectional Search d) All of the mentioned
Last Answer : d) All of the mentioned
Description : How many types are available in uninformed search method? a) 3 b) 4 c) 5 d) 6
Last Answer : c) 5
Description : Best-First search is a type of informed search, which uses ________________ to choose the best next node for expansion. a) Evaluation function returning lowest evaluation b) Evaluation function ... c) Evaluation function returning lowest & highest evaluation d) None of them is applicable
Last Answer : a) Evaluation function returning lowest evaluation
Description : General algorithm applied on game tree for making decision of win/lose is ____________ a) DFS/BFS Search Algorithms b) Heuristic Search Algorithms c) Greedy Search Algorithms d) MIN/MAX Algorithms
Last Answer : d) MIN/MAX Algorithms
Description : Constraint satisfaction problems on finite domains are typically solved using a form of ___________ a) Search Algorithms b) Heuristic Search Algorithms c) Greedy Search Algorithms d) All of the mentioned
Description : Hill climbing sometimes called ____________ because it grabs a good neighbor state without thinking ahead about where to go next. a) Needy local search b) Heuristic local search c) Greedy local search d) Optimal local search
Last Answer : c) Greedy local search
Description : Greedy search strategy chooses the node for expansion in ___________ a) Shallowest b) Deepest c) The one closest to the goal node d) Minimum heuristic cost
Last Answer : c) The one closest to the goal node
Description : A heuristic is a way of trying ___________ a) To discover something or an idea embedded in a program b) To search and measure how far a node in a search tree seems to be from a goal c) To compare two nodes in a search tree to see if one is better than another d) All of the mentioned
Description : Which is used to improve the performance of heuristic search? a) Quality of nodes b) Quality of heuristic function c) Simple form of nodes d) None of the mentioned
Last Answer : b) Quality of heuristic function
Description : uniform-cost search expands the node n with the __________ a) Lowest path cost b) Heuristic cost c) Highest path cost d) Average path cost
Last Answer : a) Lowest path cost
Description : A heuristic is a way of trying __________ a) To discover something or an idea embedded in a program b) To search and measure how far a node in a search tree seems to be from a goal c) To compare two nodes in a search tree to see if one is better than the other is d) All of the mentioned
Description : Genetic Algorithm are a part of A . Evolutionary Computing B. inspired by Darwin's theory about evolution - "survival of the fittest" C. are adaptive heuristic search algorithm based on the evolutionary ideas of natural selection and genetics D . All of the above
Last Answer : D . All of the above
Description : The ____ level contains constituents at the third level which are knowledge based system, heuristic search, automatic theorem proving, multi-agent system. A. Cognition level B. Gross level C. Functional level D. All of above
Last Answer : B. Gross level
Description : A ____ is a rule of thumb, strategy, trick, simplification, or any other kind of device which drastically limits search for solutions in large problem spaces. A. Heuristic B. Critical C. Value based D. Analytical
Last Answer : A. Heuristic
Description : List the various informed search strategy.
Last Answer : Best first search –greedy search ,A* search Memory bounded search-Iterative deepening A*search -simplified memory bounded A*search -Iterative improvement search –hill climbing -simulated annealing
Description : What is informed search?
Last Answer : One that uses problem – specific knowledge beyond the definition of the problem itself and it can find solutions more efficiently than an uninformed strategy.
Description : To overcome the need to backtrack in constraint satisfaction problem can be eliminated by ____________ a) Forward Searching b) Constraint Propagation c) Backtrack after a forward search d) Omitting the constraints and focusing only on goals
Last Answer : a) Forward Searching
Description : Which search uses only the linear space for searching? a) Best-first search b) Recursive best-first search c) Depth-first search d) None of the mentioned
Last Answer : b) Recursive best-first search
Description : The main idea of Bidirectional search is to reduce the time complexity by searching two way simultaneously from start node and another from goal node. a) True b) False
Description : Which search implements stack operation for searching the states? a) Depth-limited search b) Depth-first search c) Breadth-first search d) None of the mentioned
Last Answer : b) Depth-first search
Description : What is the term used for describing the judgmental or commonsense part of problem solving? a) Heuristic b) Critical c) Value based d) Analytical
Last Answer : a) Heuristic
Description : Which term is used for describing the judgmental or commonsense part of problem solving? a) Heuristic b) Critical c) Value based d) Analytical
Description : What is the term used for describing the judgmental or commonsense part of problem solving? A. Heuristic B. Critical C. Value based D. Analytical
Description : What is the term used for describing the judgmental or commonsense part of problem solving? A. Heuristic B. Critical C. Value based D. Analytical E. None of the above
Description : In which of the following situations might a blind search be acceptable? a) Real life situation b) Complex game c) Small search space d) All of the mentioned
Last Answer : c) Small search space
Description : In which of the following situations might a blind search be acceptable? a) real-life situation b) complex game c) small search space d) all of the mentioned
Last Answer : c) small search space
Description : Searching using query on Internet is, use of ___________ type of agent. a) Offline agent b) Online agent c) Both Offline & Online agent d) Goal Based & Online agent
Last Answer : d) Goal Based & Online agent
Description : Special programs that assist programmers are called ____________ a) heuristic processors b) symbolic programmers c) intelligent programming tools d) program recognizers
Last Answer : c) intelligent programming tools
Description : _____________ algorithms is used to extract the plan directly from the planning graph, rather than using graph to provide heuristic. a) BFS/DFS b) A* c) Graph-Plan d) Greedy
Last Answer : c) Graph-Plan
Description : Which data structure is used to give better heuristic estimates? a) Forwards state-space b) Backward state-space c) Planning graph algorithm d) None of the mentioned
Last Answer : c) Planning graph algorithm
Description : A* is optimal if h(n) is an admissible heuristic-that is, provided that h(n) never underestimates the cost to reach the goal. a) True b) False
Description : What is the evaluation function in A* approach? a) Heuristic function b) Path cost from start node to current node c) Path cost from start node to current node + Heuristic cost d) Average of Path cost from start node to current node and Heuristic cost
Last Answer : c) Path cost from start node to current node + Heuristic cost
Description : What is the evaluation function in greedy approach? a) Heuristic function b) Path cost from start node to current node c) Path cost from start node to current node + Heuristic cost d) Average of Path cost from start node to current node and Heuristic cost
Last Answer : a) Heuristic function
Description : Heuristic function h(n) is ________ a) Lowest path cost b) Cheapest path from root to goal node c) Estimated cost of cheapest path from root to goal node d) Average path cost
Last Answer : c) Estimated cost of cheapest path from root to goal node
Description : Which is the best way to go for Game playing problem? a) Linear approach b) Heuristic approach (Some knowledge is stored) c) Random approach d) An Optimal approach
Last Answer : b) Heuristic approach (Some knowledge is stored)
Description : Which method is effective for escaping from local minima? a) Updating heuristic estimate b) Reducing heuristic estimate c) Eliminating heuristic estimate d) None of the mentioned
Last Answer : a) Updating heuristic estimate
Description : An Artificial Intelligence technique that allows computers to understand associations and relationships between objects and events is called _____________ a) heuristic processing b) cognitive science c) relative symbolism d) pattern matching
Last Answer : c) relative symbolism
Description : What are the two subfields of Natural language processing? a) symbolic and numeric b) time and motion c) algorithmic and heuristic d) understanding and generation
Last Answer : c) algorithmic and heuristic
Description : An AI technique that allows computers to understand associations and relationships between objects and events is called: a. heuristic processing b. cognitive science c. relative symbolism d. pattern matching
Last Answer : d. pattern matching
Description : A bidirectional feedback loop links computer modelling with: a. artificial science b. heuristic processing c. human intelligence d. cognitive science
Last Answer : d. cognitive science
Description : What are the 2 types of memory bounded heuristic algorithms?
Last Answer : i. Recursive Best First Search(RBFS) ii. Memory bounded A*(MA*)