GTU · BE Computer · Semester 7
GTU 3170716 Artificial Intelligence (AI) Old Question Papers & Solutions PDF
Official Gujarat Technological University (GTU) old question papers PDF (Regular & Remedial) and step-by-step solved questions for Artificial Intelligence (AI) across 2023 – 2026 examinations.
36 questions GTU asked more than onceAsked in 6 of 7 papers: Explain non-monotonic reasoning in detail.See listExam papers
Most repeated questions
36 questions GTU set in two or more of 7 papers, most repeated first. Tap a year to open that paper at the question.
Explain non-monotonic reasoning in detail.
Summer 2026 Q2c OR Winter 2025 Q4b Summer 2025 Q3b Winter 2024 Q3a OR Summer 2024 Q2b Winter 2023 Q3a
Demonstrate the use of Cut and Fail predicates in Prolog with example.
Winter 2025 Q5c Summer 2025 Q5c Winter 2024 Q2a Summer 2024 Q5b OR Winter 2023 Q5c Summer 2023 Q5b OR
What is the state space of a problem? Explain state space representation for water jug problem.
Summer 2026 Q1c Winter 2025 Q2b Summer 2024 Q2c Winter 2023 Q1c Summer 2023 Q2c OR
Explain Hopfield Network with example.
Winter 2025 Q3b OR Summer 2025 Q5b OR Winter 2024 Q4b Summer 2024 Q5c OR Summer 2023 Q5a
Solve the following Cryptarithmetic Problem. SEND + MORE ----------- MONEY
Summer 2026 Q3c Winter 2025 Q3c Summer 2025 Q1c Summer 2024 Q4b OR
Illustrate min-max algorithm with alpha beta cut off by taking suitable example.
Winter 2025 Q4c OR Summer 2024 Q4c OR Winter 2023 Q4c OR Summer 2023 Q4b OR
Differentiate prepositional & predicate logic.
Summer 2026 Q4b OR Winter 2025 Q4a OR Summer 2025 Q3a Winter 2023 Q2a
Explain Min Max search procedure in game playing.
Illustrate the AI problem characteristics in detail with example.
Consider following sentences: • John likes all kinds of food. • Apples are food. • Chicken is food. • Anything anyone eats and isn’t killed by is food. • Bill eats peanuts and is still alive. • John eats everything Bill eats.
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Explain various genetic operators used in genetic algorithms in brief.
Differentiate between Forward Reasoning and Backward Reasoning.
Explain the natural language processing steps in brief.
Discuss the requirement of good control strategy in AI.
Explain local maxima, plateau and ridge in brief.
Describe Goal Stack planning.
Differentiate procedural and declarative knowledge.
Explain the back propagation algorithm for ANN.
Write a prolog program to find minimum number from the given input list.
State the Bayes’ theorem. Illustrate how a Bayesian Network can be used to represent causality relationship among attributes.
State 3 missionaries and 3 cannibals’ problem. Give its state space representation.
What is A* search? Describe the different stages of A* search with an example.
Discuss and Analyze Tower of Hanoi problem with respect to the seven problem characteristics.
Explain problem reduction using AND-OR graph.
Discuss the Constraint Satisfaction Problem with example.
Explain syntax and morphological analysis phases of NLP.
Discuss the different approaches to knowledge representation.
Enlist and briefly discuss the major task domains of Artificial Intelligence.
Differentiate between Breadth First Search and Best First Search
Explain Hierarchical Planning.
What is meant by Perceptron? Give one example.
Discuss Bay’s theorem.
What is Artificial Intelligence? List the various applications of Artificial Intelligence.
Describe the steps involved in unification in predicate logic.
Explain the significance of crossover in Genetic Algorithms.
Write a brief note on best-first Search.
Which branches take this subject
GTU's syllabus lists 3170716 for 2 branches. One set of papers serves all of them.
Semester 7: 2 branches
Computer Engineering, Computer Science & Engineering
Other Semester 7 subjects
Common questions
Are these GTU 3170716 Artificial Intelligence papers valid for both Regular and Remedial exams?
Yes. Gujarat Technological University (GTU) follows the same 70-mark syllabus, exam blueprint, and 23-mark passing cutoff for both Regular and Remedial (ATKT/backlog) examinations. All 7 past exam sessions (2023 – 2026) serve as comprehensive preparation for either attempt.
How can I download GTU 3170716 Artificial Intelligence old question papers PDF?
You can download official GTU 3170716 original question paper PDFs directly from the table above with 1 click and zero deceptive ads or wait timers. Every paper also includes interactive online questions with AI study prompts.
What is the passing mark for GTU Artificial Intelligence (3170716)?
The external theory exam carries 70 marks. The minimum passing cutoff is 23 marks (33%). Exam duration is 2.5 hours.
What is the GTU exam pattern for 3170716?
The examination contains 5 main questions of 14 marks each, totaling 70 marks. Questions 2 through 5 provide internal OR choices, typically split into 3-mark, 4-mark, and 7-mark questions.