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4. Knowledge Representation

This is the fourth video in the series "Road to AGI" and this video is all about knowledge representation in AI. Knowledge base agents/learner and knowledge graphs are an important component of AI and this is how an agent will learn and understand the environment and connect the dots and then grow. As usual we always welcome any questions/comments/suggestions. Feel free to reach out to us at: theagipodcast@gmail.com Link to the previous videos in the series: Ep 1:    • 1.  Road to AGI   Ep 2:    • 2. Intro to Pattern Recognition   Ep 3:    • 3. Lifelong Pattern Recognition   References: https://www.kmslh.com/blog/knowledge-.... https://www.javatpoint.com/knowledge-... https://www.google.com/amp/s/www.tech... https://knowmax.ai/blog/benefits-of-k... https://www.google.com/amp/s/www.geek... https://www.visor.ai/ai-knowledge-base/ https://malllabiisc.github.io/ http://rtw.ml.cmu.edu/rtw/overview https://www.researchgate.net/publicat... http://citeseerx.ist.psu.edu/viewdoc/... https://towardsdatascience.com/the-un... https://www.edureka.co/blog/knowledge... https://www.javatpoint.com/ai-techniq... https://papers.ssrn.com/sol3/papers.c... Pei Wang lecture: https://cis.temple.edu/~pwang/5603-AI... https://knowledgecenter.ubt-uni.net/c... https://api.deepai.org/publication-do...   / the-empathy-prior-and-agi   https://arxiv.org/abs/1707.03232 [1707.03232] Deductive and Analogical Reasoning on a Semantically Embedded Knowledge Graph (arxiv.org) https://www.researchgate.net/publicat... Chess Case Study: https://towardsdatascience.com/knowle...   / how-to-analyse-chess-games-using-graph-net...   https://towardsdatascience.com/buildi... https://www.ontotext.com/blog/artific...