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Explore the fundamental concepts of symbols and thought in artificial intelligence through this 29-minute lecture by Prof. Deepak Khemani from the Department of Computer Science & Engineering at the Indian Institute of Technology Madras. Delve into the crucial role of symbolic representation and reasoning in AI systems, examining how symbols are used to encode knowledge and facilitate intelligent decision-making processes. Gain insights into the relationship between symbolic structures and cognitive processes, and understand how these principles form the foundation for knowledge representation and reasoning in artificial intelligence.
Syllabus
2.1 - Symbols and Thought
Taught by
NPTEL-NOC IITM