Knowledge-Based AI: Cognitive Systems

Free Course
7 weeks duration

The twin goals of knowledge-based artificial intelligence (AI) are to build AI agents capable of human-level intelligence and gain insights into human cognition.

In the course Knowledge-Based AI: Cognitive Systems on Udacity, students will be introduced to the field of Knowledge-Based AI and its connection to cognitive systems. The course covers various fundamentals such as semantic networks, generate and test, means-ends analysis, problem reduction, and production systems. Students will also learn about common sense reasoning, frames, understanding, scripts, planning, logic, and learning. The course explores topics like learning by recording cases, incremental concept learning, classification, version spaces and discrimination trees, analogical reasoning, case-based reasoning, and explanation-based learning. Additionally, students will delve into visuospatial reasoning, constraint propagation, design and creativity, configuration, diagnosis, and metacognition. The course also touches upon AI ethics.

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Udacity is an online learning platform that offers a wide range of courses and programs in various fields such as technology, business, data science, and artificial intelligence. It was founded in 2012 by Sebastian Thrun, David Stavens, and Mike Sokolsky with the aim of providing accessible and affordable education to individuals worldwide. Udacity's courses are designed in collaboration with industry experts and leading companies, ensuring that the content is relevant and up-to-date. The platform offers both self-paced courses and guided programs, allowing learners to choose the learning style that suits them best. Udacity also provides career services and support, including resume reviews, interview preparation, and job placement assistance, to help learners transition into their desired careers.
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