Intelligent Systems and Intelligent Agents

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$P$ to $F$, where $P$ is the set of all percepts and $F$ is the agent function
$F$ to $A$, where $F$ is the agent function and $A$ is the set of all actions
$A$ to $P$, where $A$ is the set of all actions and $P$ is the set of all percepts
$P$ to $A$, where $P$ is the set of all percepts and $A$ is the set of all actions (correct)

<p>An agent’s perceptual inputs at a specified instance (A)</p> Signup and view all the answers

<p>Frameworks/systems that may show a type of knowledge without explicit programming (B)</p> Signup and view all the answers

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An intelligent agent is a system that perceives its environment and takes actions to achieve specific goals through autonomous decision-making.

The agent function maps from the set of percepts to the set of actions, representing how agents respond to observations.

The success of an agent is determined by its ability to achieve its goals effectively, often assessed through performance measures such as efficiency, effectiveness, and adaptability in various scenarios.

A percept refers to the information that an intelligent agent receives from its environment, which can include sensory data or any relevant input that influences its decision-making process.

Intelligent systems are defined as computational frameworks that utilize data processing to simulate cognitive functions, encompassing learning, reasoning, and problem-solving capabilities, often seen in AI applications.