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...