Artificial Intelligence Question Bank

📋 Course Outline

1. Intelligent Agents and Environments
2. Search-Based Problem Solving
3. Heuristics and Online Search
4. Game Playing and CSP
5. Logical Reasoning and Knowledge Agents
6. Probabilistic Reasoning

📖 1. Intelligent Agents and Environments

🔑 Key Concepts & Definitions

• Intelligent agent : Perceives its environment through sensors and acts on that environment through actuators.
• PEAS framework : Specifies an agent's Performance measure, Environment, Actuators, and Sensors.
• Rational agent : Selects actions expected to maximize its performance measure given its percept sequence and available knowledge.
• Agent architecture : Intelligent agent architectures determine how percepts are transformed into actions, and they include simple reflex, model-based, goal-based, and utility-based designs.

📝 Essential Points

• Task environments may be deterministic, where the next state is fixed by the current state and action, or stochastic, where outcomes involve uncertainty.

📖 2. Search-Based Problem Solving

📌 Uninformed search uses no problem-specific heuristic information, whereas informed search uses additional knowledge to guide exploration.