Knowledge-Based AI: Cognitive Systems
link Origem: www.udacity.com
list 7 sequencias
assignment Nível: Introdutório
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Informações principais

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Sobre o conteúdo

This class is offered as CS7637 at Georgia Tech where it is a part of the [Online Masters Degree (OMS)](http://www.omscs.gatech.edu/). 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.

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Programa de estudos

Unit 1: Introduction to KBAI and Cognitive Systems.

- Where Knowledge-Based AI fits into AI as a whole - Cognitive systems: what are they? - AI and cognition: how are they connected?

Unit 2: Fundamentals

- Semantic Networks - Generate & Test - Means-Ends Analysis - Problem Reduction - Production Systems

Unit 3: Common Sense Reasoning

- Frames - Understanding - Common Sense Reasoning - Scripts

Unit 4: Planning

- Logic - Planning

Unit 5: Learning

- Learning by Recording Cases - Incremental Concept Learning - Classification - Version Spaces & Discrimination Trees

Unit 6: Analogical Reasoning

- Case-Based Reasoning - Explanation-Based Learning - Analogical Reasoning

Unit 7: Visuospatial Reasoning

- Constraint Propagation - Visuospatial Reasoning

Unit 8: Design & Creativity

- Configuration - Diagnosis - Design - Creativity

Unit 9: Metacognition

- Learning by Correcting Mistakes - Meta-Reasoning - AI Ethics
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Instrutores

  • Ashok Goel - Ashok Goel is a professor of Computer Science and Cognitive Science at Georgia Tech in the School of Interactive Computing. His lab, the Design & Intelligence Lab, is at the forefront of conducting research into computational design, discovery, and creativity. The goals of his research are to understand human creativity in conceptual design of complex systems as well as scientific problem solving, to develop interactive tools for aiding people in such creative tasks, and to invent computational systems that are themselves creative.
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Criador do conteúdo

Georgia Institute of Technology

O Georgia Institute of Technology, também conhecido por Georgia Tech ou GT, é uma universidade pública de investigação mista situada em Atlanta, Geórgia, EUA. Faz parte da rede alargada do Sistema Universitário da Geórgia. O Georgia Tech tem escritórios em Savannah (Geórgia, EUA), Metz (França), Athlone (Irlanda), Xangai (China) e Singapura.

A reputação da Georgia Tech assenta nos seus programas de engenharia e ciências informáticas, que se encontram entre os melhores do mundo5,6. A oferta de cursos é complementada por programas nas áreas das ciências, arquitetura, humanidades e gestão.

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Plataforma

Udacity

Udacity est une entreprise fondé par Sebastian Thrun, David Stavens, et Mike Sokolsky offrant cours en ligne ouvert et massif.

Selon Thrun, l'origine du nom Udacity vient de la volonté de l'entreprise d'être "audacieux pour vous, l'étudiant ". Bien que Udacity se concentrait à l'origine sur une offre de cours universitaires, la plateforme se concentre désormais plus sur de formations destinés aux professionnels.

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