Topic: 03 Problem Solving by Searching
Topic: 04 Knowledge, Reasoning, Planning
Topic: 05 Neural Network Questions
Here's the super suggestion table for the upcoming exam, based on important questions from previous years (2022, 2021, 2020, 2019, and 2018) across all topics:
| Topic | Important Questions (from 2022, 2021, 2020, 2019, 2018) |
|---|---|
| Topic: 01 - Introduction | 1. Define Artificial Intelligence and explain its goals. [2021, 2020] |
| 2. Discuss the Turing Test and its significance in AI. [2021, 2019] | |
| 3. Explain the differences between Strong AI and Weak AI. [2020, 2018] | |
| 4. Describe the types of AI: Reactive machines, Limited memory, Theory of mind, and Self-awareness. [2019, 2018] | |
| 5. What are the applications of AI in everyday life? [2020, 2019] | |
| Topic: 02 - Intelligent Agent | 1. What is an intelligent agent? Explain the different types of intelligent agents. [2020, 2019, 2018] |
| 2. Define and explain the concept of Agent's Architecture and Agent's Environment. [2021, 2020] | |
| 3. Discuss the properties of an intelligent agent. [2020, 2019] | |
| 4. What is rationality in AI? How does it relate to intelligent agents? [2020, 2019] | |
| 5. Explain the concept of utility function in intelligent agents. [2018] | |
| Topic: 03 - Problem Solving by Searching | 1. Describe the various search strategies: Breadth-First Search, Depth-First Search, and A* algorithm. [2021, 2020, 2019] |
| 2. Explain the concept of state space and search trees. How are they used in AI problem solving? [2020, 2018] | |
| 3. Discuss the advantages and disadvantages of uninformed vs informed search strategies. [2020, 2019] | |
| 4. How does the A* algorithm work? Explain with an example. [2019, 2018] | |
| 5. What is the complexity of search algorithms? Compare time complexity for different search strategies. [2020, 2018] | |
| Topic: 04 - Knowledge, Reasoning, Planning | 1. What is logic? What are the advantages of first-order logic over propositional logic? [2020, 2016, 2015] |
| 2. What are the differences between propositional logic and predicate logic? [2020, 2018, 2015, 2013] | |
| 3. What is fuzzy logic? List the properties of fuzzy sets. [2014, 2012] | |
| 4. Explain the fuzzy set operation with examples. [2018] | |
| 5. What is knowledge representation in AI? Discuss the frame-based approach. [2020, 2018, 2015] | |
| 6. Discuss various approaches and issues in knowledge representation. [2017, 2012] | |
| 7. Describe the rules of inference with examples. [2021, 2019, 2016] | |
| 8. Explain the Modus-Ponens and Modus-Tollens in propositional logic. [2018] | |
| 9. Define WFF and clause. Write down the steps of converting WFFs into clauses. [2019, 2016] | |
| 10. Translate sentences into first-order logic (FOPL). E.g., "All dogs are mammals" [2017, 2015, 2011] | |
| 11. Use the Modus Ponens deduction rule to deduce a conclusion from premises. [2011] | |
| Topic: 05 - Neural Networks | 1. What is a neural network? Explain the architecture and working principles. [2021, 2018, 2016] |
| 2. Differentiate between supervised and unsupervised learning in neural networks. [2020, 2018, 2017, 2015] | |
| 3. Explain McCulloch-Pitts artificial neuron model. [2021, 2016, 2012] | |
| 4. Discuss Rosenblatt's perceptron learning algorithm. [2021] | |
| 5. What are the features of biological neural networks that make them superior to AI computer systems? [2014] | |
| 6. Explain why perceptrons can learn AND/OR but not XOR. [2019, 2018, 2015, 2012] | |
| 7. Discuss the back propagation learning algorithm. [2020, 2016, 2014] | |
| 8. What is reinforcement learning? Discuss how it differs from other learning paradigms in neural networks. [2019] | |
| 9. What is a Hopfield network? Explain how it operates and achieves desirable features. [2018, 2014] | |
| 10. What is the weight updating rule in perceptron learning? [2014] |
This table consolidates the most important and recurring questions from the last five years. These questions are highly relevant for preparation, providing a focused study guide across the key topics in AI.