11 Facts About Intelligent agent

An Intelligent agent has an "objective function" that encapsulates all the IA's goals.

Such an Intelligent agent is designed to create and execute whatever plan will, upon completion, maximize the expected value of the objective function.

For example, a reinforcement learning Intelligent agent has a "reward function" that allows the programmers to shape the IA's desired behavior, and an evolutionary algorithm's behavior is shaped by a "fitness function".

An autonomous intelligent agent is designed to function in the absence of human intervention.

Optional desiderata include that the Intelligent agent be rational, and that the Intelligent agent be capable of belief-desire-intention analysis.

An agent that is assigned an explicit "goal function" is considered more intelligent if it consistently takes actions that successfully maximize its programmed goal function.

The Intelligent agent function is based on the condition-action rule: "if condition, then action".

Model-based reflex Intelligent agent should maintain some sort of internal model that depends on the percept history and thereby reflects at least some of the unobserved aspects of the current state.

Rational utility-based Intelligent agent chooses the action that maximizes the expected utility of the action outcomes - that is, what the Intelligent agent expects to derive, on average, given the probabilities and utilities of each outcome.

Generally, an Intelligent agent can be constructed by separating the body into the sensors and actuators, and so that it operates with a complex perception system that takes the description of the world as input for a controller and outputs commands to the actuator.

The basic idea of using Intelligent agent-based modeling to understand self-driving cars was discussed as early as 2003.