Lecture 1: Introduction

목차

• Artificial Intelligence
• Centralized AI Systems
• Collaborative AI Systems
• Collaborative AI: Why?

 

Learning Objective: 

Compare centralized and collaborative AI paradigms

 

Artificial Intelligence

AI is the study and design of intelligent agents (지능형 에이전트)

Intelligent agents:

- have own thread of control, continually executing

- are autonomous 

- exhibit proactive, reactive, and social behavior

- can be physical or virtual, embodied or software-only

 

여기서 proactive, reactive, social ability의 뜻은 다음과 같다.

Proactive: intelligent agents are able to exhibit goal-directed behavior by taking the initiative to satisfy their objectives

Reactive: intelligent agents are able to perceive their environment and respond

Social ability: intelligent agents are capable of interacting with other agents (and possibly humans) to satisfy their objectives

 

 

Centralized AI Systems

Centralized AI system → Single-Agent System

- Centralized/Distributed computation but centralized control

 

 

Collaborative AI Systems

Collaborative AI system → Multi-Agent System

- Decentralized computation and control

 

 

Collaborative AI: Why?

No single agent has all information or capabilities for solving a problem

- Data is decentralized

- Computation is decentralized (and asynchronous)

There is no system for global control

Humans are part of the system

 

Hybrid (human - AI) intelligence:

Humans assisting machines (training, explaining, sustaining)

Machines assisting humans (amplifying, interacting, embodying)