Problems in AI: Difference between revisions

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# World knowledge is dynamic but knowledge is limited
# World knowledge is dynamic but knowledge is limited
# How can we get an AI agent to explain or justify it's decisions?  
# How can we get an AI agent to explain or justify it's decisions?  
# Data arrives incrementally
# Problems exhibit recurring patterns
# Problems have multiple levels of granularity
# Many problems are computationally intractable
# The world is dynamic, but knowledge of the world is static
# The world in open-ended, but knowledge is limited.





Latest revision as of 20:51, 8 January 2018

Artificial Intelligence[1]

I used this material from my course: knowledge-based AI:


  1. All intelligent agents have limited resources
  2. Computation is local, but problems have a global context
  3. Computational logic is deductive, but many problems are inductive
  4. World knowledge is dynamic but knowledge is limited
  5. How can we get an AI agent to explain or justify it's decisions?


  1. Data arrives incrementally
  2. Problems exhibit recurring patterns
  3. Problems have multiple levels of granularity
  4. Many problems are computationally intractable
  5. The world is dynamic, but knowledge of the world is static
  6. The world in open-ended, but knowledge is limited.



References[edit]