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Artificial Intelligence: Fundamentals and Applications, Cheat Sheet of Artificial Intelligence

A comprehensive introduction to the field of artificial intelligence (ai), covering fundamental concepts, key algorithms, and practical applications. It explores various aspects of ai, including agent types, search strategies, knowledge representation, and expert systems. Exercises and questions to reinforce understanding and promote critical thinking.

Typology: Cheat Sheet

2024/2025

Available from 03/09/2025

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Artificial Intelligence
Unit 1
1. What is Artificial Intelligence? Mention some of the applications that fall
within the scope of AI.
2. With a neat sketch discuss in detail about
a) Goal Based agent b) Learning agent.
3. Explain in detail about model based reflex agent. And what are the
differences between a simple reflex agent and a model based reflex agent?
4. Explain the history of artificial intelligence.
5. What is PEAS? Explain any two agent types with their PEAS description.
6. Describe the characteristics of Tic-Tac-Toe problem in detail.
7. Explain about problem solving agents and what is the problem formulation
for 8 Puzzle, Travelling Salemen and water-Jug problems.
8. Explain the Vacuum World Problem and draw the corresponding ‘state set
space’ representations
9. Explain in detail the structure of different intelligent agents.
2-marks:
1. What is Artificial Intelligence?
2. Define Agent and Environments?
3. List out different types of Environments.
4. State the differences between various environments.
i) Single-agent vs Multi-agent
ii) Deterministic vs Stochastic
iii) Discrete vs Continuous
5. List out different types of Agents.
6. What is PEAS?
7. What is concept of rationality?
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Artificial Intelligence

Unit – 1

  1. What is Artificial Intelligence? Mention some of the applications that fall within the scope of AI.
  2. With a neat sketch discuss in detail about a) Goal Based agent b) Learning agent.
  3. Explain in detail about model based reflex agent. And what are the differences between a simple reflex agent and a model based reflex agent?
  4. Explain the history of artificial intelligence.
  5. What is PEAS? Explain any two agent types with their PEAS description.
  6. Describe the characteristics of Tic-Tac-Toe problem in detail.
  7. Explain about problem solving agents and what is the problem formulation for 8 Puzzle, Travelling Salemen and water-Jug problems.
  8. Explain the Vacuum World Problem and draw the corresponding ‘state set space’ representations
  9. Explain in detail the structure of different intelligent agents. 2 - marks:
  10. What is Artificial Intelligence?
  11. Define Agent and Environments?
  12. List out different types of Environments.
  13. State the differences between various environments. i) Single-agent vs Multi-agent ii) Deterministic vs Stochastic iii) Discrete vs Continuous
  14. List out different types of Agents.
  15. What is PEAS?
  16. What is concept of rationality?
  1. Discuss in detail any two search strategies that come under the uninformed searches (BFS & DFS).
  2. Explain with suitable example about the A* search algorithm. Discuss the difference between A* and AO* search algorithms.
  3. Compare in detail between i) Uninformed search Vs Informed search ii) BFS and DFS
  4. Discuss in detail about the Hill Climbing algorithm. Using a suitable example.
  5. Description about Alpha-Beta pruning with suitable example and also its advantages over minimax algorithm.
  6. Define Heuristic function? Explain Heuristic search technique with the help of an example.
  7. Discuss in detail about adversial search algorithm. And how it is used in game playing?
  8. a) Explain in detail about mini-max algorithm. b) How optimal decisions are taken in multiplayer games? 2 - marks:
  9. What are the differences between DFS & BFS?
  10. Define the following: (i) Initial state (ii) successor function (iii) State space (iv) goal test (v) path cost
  11. Define the terms a)state space b) search tree c)search node d) branching factor
  12. What problems that encounters during game playing?
  13. What is Heuristic search algorithm?
  14. What are the differences between blind search Vs Heuristic search algorithms?
  15. What is evaluation function?
  16. State the differences between single agent and multi agents.
  1. What is propositional logic? Discuss its differences with FOL?
  2. What is FOL? Explain about the inferences in FOL?
  3. Explain with the help suitable example about Resolution in FOL.
  4. What is forward chaining and backward chaining? Discuss the differences between them.
  5. Explain briefly about the Reinforcement Learning.
  6. Write a short notes on i) Inductive learning ii) Decision trees iii) Statistical Learning 2 - marks:
  7. Define FOL and propositional logic?
  8. What are the differences between Propositional logic and predicate logic?
  9. Define unification in AI?
  10. Define lifts in AI?
  11. Define forward & backward chaining?
  12. What is resolution?
  13. Define Learning and list out different types of Learning.
  14. Define Supervised & unsupervised learning. Discuss the differences between them.
  15. Define Reinforcement Learning.
  1. a) What is expert system? Discuss the advantages, disadvantages and applications of expert system. b) What is the role of expert system?
  2. With neat sketch explain the architecture, characteristic features and roles of expert system.
  3. a) Explain the basic components and applications of expert system. b) Explain briefly about the phases of building the expert system.
  4. Write a short notes on i) MYCIN ii) DART Expert Systems.
  5. Explain briefly about the Expert system shell and what are the advantages. 2 - marks:
  6. Define expert system.
  7. Define knowledge acquisition.
  8. What is meta knowledge heuristics?
  9. What are roles of expert system?
  10. Define expert system shell.
  11. List out applications of typical expert system i) MYCIN ii) XCON