Lec 9 conclusion
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The document outlines advanced topics in artificial intelligence including natural language processing, planning, computer vision, robotics, soft computing, and clustering. It summarizes key themes from a course on AI, highlighting problem-solving methods, genetic algorithms, knowledge representation, expert systems, fuzzy systems, and learning. The conclusion emphasizes the comprehensive nature of the topics covered.
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Lec 9 conclusion
- 1. Advanced Topics & Conclusion Reading Assignment
- 2. Reading Assignment 1. Natural Language Processing (NLP) 2. Planning • STRIPS is one of the founding languages developed particularly for planning. 3. Computer vision • procedures that extract useful information from static pictures and sequence of images. 4. Robotics • Complex combination of hardware and intelligence, or mechanics and brains 5. Softcomputing • encapsulate the emergence of new hybrid area of work in AI. eg. genetic fuzzy 6. Clustering • to identify and group similar individual data elements based on some measure of similarity.
- 3. Conclusion • Major topics that we covered in the course are: • Introduction to intelligence and AI • Problem solving using search • Genetic algorithms • Knowledge representation and reasoning • Expert systems • Fuzzy systems • Learning • Advanced topics