Intelligent agent (IA)

What is Intelligent Agent (IA)?

Agent = Architecture + Program

Architecture = infrastructure to host the agent program, e.g. physical sensors, computing devices

Program = the logic and algorithms

In general, IA contains the sensors to precept the environment, think how to do, and then act through the actuators.

[Wikipedia] In artificial intelligence, an intelligent agent (IA) is an autonomous entity which observes through sensors and acts upon an environment using actuators (i.e. it is an agent) and directs its activity towards achieving goals (i.e. it is "rational", as defined in economics[1]). Intelligent agents may also learn or use knowledge to achieve their goals. They may be very simple or very complex. A reflex machine, such as a thermostat, is considered an example of an intelligent agent.

Type of IA

• simple reflex agents
• model-based reflex agents
• goal-based agents
• utility-based agents
• learning agents

Intelligence Level

Simple Reflex Agents

Environment: fully observable

Agent Function: based on condition-action rule

Model-based Reflex Agents

Environment: partially observable

Precepts -> State -> Internal Model -> Action

Goal-based Agents

Environment: partially observable

Precepts -> State (Goal or Non-Goal) -> Internal Model -> Action

Utility-based Agents

Environment: partially observable

Similar to goal-based, and additionally use utility function to determine which actions is better

Learning Agents

Environment: can be unknown

Learning from its experiences and knowledge to achieve their goal.