At the conclusion of this class, you will be able to accomplish three primary tasks. First, you will be able to design and implement a knowledge-based artificial intelligence agent that can address a complex task using the methods discussed in the course. Second, you will be able to use this agent to reflect on the process of human cognition. Third, you will be able to use both these practices to address practical problems in multiple domains.

Hands On Training

Knowledge Based AI Cognitive Systems

Udacity

Course Features

Duration

7 weeks

Delivery Method

Online

Available on

Limited Access

Accessibility

Desktop, Laptop

Language

English

Subtitles

English

Level

Advanced

Teaching Type

Self Paced

Course Description

This class is offered as CS7637 at Georgia Tech where it is a part of the Online Masters Degree OMS Taking this course here will not earn credit towards the OMS degree This is a core course in artificial intelligence It is designed to be a challenging course involving significant independent work readings assignments and projects It covers structured knowledge representations as well as knowledge based methods of problem solving planning decision making and learning The class is organized around three primary learning goals First this class teaches the concepts methods and prominent issues in knowledge based artificial intelligence Second it teaches the specific skills and abilities needed to apply those concepts to the design of knowledge based AI agents Third it teaches the relationship between knowledge based artificial intelligence and the study of human cognition

Course Overview

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Are you comfortable with computer programming?

Are you familiar with concepts of data structures and object-oriented programming, such as inheritance and polymorphism?

Are you familiar with concepts of algorithms, such as sorting and searching algorithms?

Are you confident with either Java or Python?

What You Will Learn

Introduction to KBAI and Cognitive SystemsWhere Knowledge-Based AI fits into AI as a wholeCognitive systems: what are they?AI and cognition: how are they connected?

FundamentalsSemantic NetworksGenerate & TestMeans-Ends AnalysisProblem ReductionProduction Systems

Common Sense ReasoningFramesUnderstandingCommon Sense ReasoningScripts

PlanningLogicPlanning

LearningLearning by Recording CasesIncremental Concept LearningClassificationVersion Spaces & Discrimination Trees

Analogical ReasoningCase-Based ReasoningExplanation-Based LearningAnalogical Reasoning

Visuospatial ReasoningConstraint PropagationVisuospatial Reasoning

Design & CreativityConfigurationDiagnosisDesignCreativity

MetacognitionLearning by Correcting MistakesMeta-ReasoningAI Ethics

Course Content

Expand all sections

Module 1: Introduction to KBAI and Cognitive Systems

Module 2: Fundamentals

Module 3: Common Sense Reasoning

Module 4: Planning

Course Instructors

Ashok Goel

Instructor

David Joyner

Instructor

Course FAQs

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