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layout: post title: "KBAI 笔记 01 Intro to Knowledge-based AI" date: "2019-01-01 08:33:16" categories: 计算机科学 excerpt: "Conundrums of AI how AI agents give near real-time solutions with limite..."

auth: conge

Conundrums of AI

Five Conundrums of AI

Characteristics of AI Problems

AI Problems

How do we design AI agents to address the characteristics?

Properties of AI agent

Properties of AI agent

Exercise: What are AI Problems?

quiz: AI problems

Exercise: AI in Practice: Watson

Quiz: what Watson can do

What is Knowledge-Based AI?

deliberation

Cognitive system

Thinking-acting spectrum and optimal-like human spectrum

Quadrants of AI

Computation technique examples fall into the quadrants

Exercise: What is KBAI?

Where does self-driving automobile belong?

Exercise: The Four Schools of AI

What are Cognitive Systems?

Definition of Cognitive Systems

Single cognitive systems

Percepts of the worlds go into Cognitive Systems as inputs via sensors and Cognitive systems give output with (???).

Multiple Cognitive Systems

Cognitive system three-layer architecture.

Topics in KBAI

Topics overview

Fundenmentals

Planning

Common Sence Reasioning

Learning

Analogical Reasoning

Visuospatial Reasoning

Design & Creativity

Metacognition

recap

Recap

Final quiz: What have I learned from this class.

final quiz

In this course, I learned the characteristics of AI agent, AI problems, and major conundrums of AI. All the AI agents have limited computational resources, sensors attention, or knowledge and the logic they use is deductive. While the problems that AI needs to solve are dynamic, open-ended and often computationally intractable.

There are four schools of AI based the optimally-human-like spectrum and thinking-acting spectrum. Cognitive systems are more human-like.

The cognitive system have three modules: creative, deliberation, and metacognition. and in deliberation, there are three modules: reasoning, Learning, and Memory.