Artificial Intelligence (BCAI501) AKTU previous year questions 2023–2026
Every Artificial Intelligence question from 4 AKTU papers, tagged by unit, topic and marks. A few recent questions from each unit are listed below; open the page to filter by unit, topic or mark type.
Unit 1: Introduction – AKTU PYQs
- What is meant by intelligent behavior? (2 marks, 2026, Artificial Intelligence Basics)
- Define state space in Artificial Intelligence (2 marks, 2026, Problem Solving Approach)
- Define rational agent. (2 marks, 2026, Intelligent Agents)
- Discuss the role of AI in the future of technology and society. (7 marks, 2026, Artificial Intelligence Basics)
- Explain the transition of Artificial Intelligence from rule-based systems to machine learning-based systems. (7 marks, 2026, Artificial Intelligence Basics)
Unit 2: Problem Solving Methods – AKTU PYQs
- Define a local search? (2 marks, 2026, Local Search Algorithms)
- Define optimal decision in games. (2 marks, 2026, Game Playing)
- Solve a problem using depth-first search (DFS) and show the path explored. (7 marks, 2026, Search Strategies)
- Explain the formulation and solution techniques of Constraint Satisfaction Problems (CSP) with examples. (7 marks, 2026, Constraint Satisfaction Problems)
- Discuss stochastic games and the role of probability in decision-making. (7 marks, 2026, Game Playing)
Unit 3: Knowledge Representation – AKTU PYQs
- Define unification in Prolog. (2 marks, 2026, Prolog Programming)
- Explain the role of events, mental events, and mental objects in intelligent agents' reasoning. (7 marks, 2026, Ontological Engineering)
- Demonstrate resolution principle by proving a simple theorem in propositional logic. (7 marks, 2026, Inference Techniques)
- Create a forward chaining example in a rule-based system to determine eligibility for a scholarship. (7 marks, 2026, Inference Techniques)
- What is First Order Predicate Logic (FOPL)? (2 marks, 2025, First Order Predicate Logic)
Unit 4: Software Agents – AKTU PYQs
- Explain the coordination mechanisms used in multi-agent systems. (7 marks, 2026, Agent Communication)
- Explain the complete architecture of intelligent agents including deliberative, reactive, and hybrid layers. (7 marks, 2026, Agent Architecture)
- Describe the negotiation process in multi-agent systems with examples. (7 marks, 2025, Negotiation and Bargaining)
- Explain how argumentation is used for resolving conflicts in multi-agent systems. (7 marks, 2025, Argumentation Among Agents)
- Explain how autonomous agents manage decision-making and execution. (7 marks, 2025, Agent Architecture)
Unit 5: Applications – AKTU PYQs
- Explain the concept of speech recognition. (2 marks, 2026, Natural Language Processing)
- Describe the role of information retrieval systems in modern AI applications. (7 marks, 2026, Information Retrieval Extraction)
- Explain planning algorithms in AI, such as STRIPS and hierarchical task networks. (7 marks, 2026, Robotics)
- Analyze the speech recognition techniques including acoustic modeling and language modeling. (7 marks, 2026, Natural Language Processing)
- Explain the concept of machine translation. (2 marks, 2025, Natural Language Processing)