Knowledge-Based AI: Cognitive Systems
link Source : www.udacity.com
list 7 séquences
assignment Niveau : Introductif
chat_bubble_outline Langue : Anglais
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Les infos clés

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En résumé

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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Le programme

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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Les intervenants

  • 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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Le concepteur

Georgia Institute of Technology
The Georgia Institute of Technology is one of the nation's top research universities, distinguished by its commitment to improving the human condition through advanced science and technology. Georgia Tech's campus occupies 400 acres in the heart of the city of Atlanta, where more than 20,000 undergraduate and graduate students receive a focused, technologically based education.
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La plateforme

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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