Artificial Intelligence

• Chapter 1: Foundations of Artificial Intelligence. Notes and past questions on Foundations of Artificial Intelligence for TU BIT Artificial Intelligence.
• Chapter 2: Agent Environments and Problem Formulation. Notes and past questions on Agent Environments and Problem Formulation for TU BIT Artificial Intelligence.
• Chapter 3: Search Algorithms and Techniques. Notes and past questions on Search Algorithms and Techniques for TU BIT Artificial Intelligence.
• Chapter 4: Knowledge Representation. Notes and past questions on Knowledge Representation for TU BIT Artificial Intelligence.
• Chapter 5: Reasoning and Inference. Notes and past questions on Reasoning and Inference for TU BIT Artificial Intelligence.
• Chapter 6: Uncertainty and Probabilistic Reasoning. Notes and past questions on Uncertainty and Probabilistic Reasoning for TU BIT Artificial Intelligence.
• Chapter 7: Expert Systems. Notes and past questions on Expert Systems for TU BIT Artificial Intelligence.
• Chapter 8: Machine Learning and Neural Networks. Notes and past questions on Machine Learning and Neural Networks for TU BIT Artificial Intelligence.
• Chapter 9: Evolutionary and Reinforcement Learning. Notes and past questions on Evolutionary and Reinforcement Learning for TU BIT Artificial Intelligence.
• Chapter 10: Natural Language Processing. Notes and past questions on Natural Language Processing for TU BIT Artificial Intelligence.

• How problems is formulated in state space representation?Create a state space representation with start and goal state.Configure the stat... (2082)
• How unification and lifting is done in predicate logic?Construct a knowledge base in first order predicate logic for following statements... (2082)
• What is learning rule?How learning is done in ANN using back propagation algorithm?[2+8] (2082)
• What is artificial intelligence? State Turing Test. [5] (2082)
• What is intelligent agent? Construct PEAS framework a particle picking robot. [1+4] (2082)
• How iterative deepening search is used to find goal in state space? Illustrate using example. [5] (2082)
• State the Dempster-Shafer Theory. How is it used in statistical reasoning? [3+2] (2082)
• Describe the mathematical model of ANN. Differentiate feed-forward ANN from feed-back ANN. [2+3] (2082)
• How learning by genetic algorithm is performed? [5] (2082)
• How expert system works? Explain the architecture of expert system. [2+3] (2082)
• Discuss the discourse and pragmatic analytics in natural language processing. [5] (2082)
• How knowledge is represented using scripts? Support your answer with example. [3+2] (2082)
• List the properties that a machine must have to pass the Turing Test.Describe the ambiguities in each step in Natural Language Processing... (2080)
• Define agent. How do you describe PEAS for an agent? Describe the different types of environment with example.[10] (2080)
• How do Depth Limited Search solve the problem of Depth First Search and discuss about its limitations? Illustrate the concept of AO* sear... (2080)

Frequently asked questions

Based on the official syllabus.