Artificial Intelligence (AD-304) - Important Questions

Explain the A* search algorithm in detail, including how it combines other search strategies and why it is widely used.

Discuss and compare A* and AO* search techniques, including their advantages and disadvantages.

Explain the scope and contribution of AI with real-life applications in human life and global challenges.

Define intelligence and explain the goals of AI and its contribution to modern technology.

Explain the issues, problems and challenges in knowledge representation in AI systems.

Explain resolution and associated inference by refutation and deduction mechanisms in predicate logic.

Compare and contrast propositional logic and predicate logic in terms of expressiveness and applicability.

Define Bayes' theorem and explain its significance and applications in probabilistic reasoning.

Explain what semantic networks are in knowledge representation with an example.

What are frames in knowledge representation? Explain with a suitable example and their use for representing stereotyped situations.

Explain the minimax procedure for game playing, its objective, steps and working.

Explain the alpha-beta cutoff pruning technique in game playing and its advantages.

What is the Block World problem in AI planning and robotics? Explain with an example and its significance.

Explain the components and architecture and capabilities and working of an expert system.

Explain what an expert system is and describe its key characteristics, including how they distinguish expert systems from other computer programs.

Explain how forward chaining and backward chaining and forward and backward reasoning are used in expert systems.