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Artificial Intelligence Basics - Coggle Diagram
Artificial Intelligence Basics
Different types of AI
Systems that act like humans
Turing Test
Passes if human cannot differentiate other human from AI
Systems that act rationally
doing the right thing
Systems that think like humans
Cognitive Science
Systems that think rationally
Laws of Thought
Logic
Intelligent Agents
Rational Agents
Acts to achieve best outcome
Chooses the action that has the best chance of getting the expected value of the performance measure given the history
Agent
Performance Measure
A way of measuring performance mathematically
Environment
the obstacles of an agent and its surrounding area
Environment Types
Observable
Fully or Partially
Deterministic
stochastic - random
Deterministic - current state determines next state
Episodic
Episodic - does not depend on what has happened
Sequential - depends on what has happened previously
Static
Dynamic - environment keep changing
Static - no change in environment's state
Discrete
Discrete - only finite number of actions
Continuous - infinite number of actions
Single-Agent
Single or Multi Agent
Actuators
What it can do/use in the environment
Sensors
How the Agent can view the Environment
Percept Sequence
Complete history of everything the agent has perceived
Agent Types
Simple Reflex Agents
only depends on current state
Model-based Reflex Agents
maintains percept history
Goal-Based Agents
decides based on the goal
Utility-Based Agents
omtimize performance
Learning Agents
Acts in unknown environments and becomes more competent