The Science of today is the technology of tomorrow . Trending Technology Machine Learning, Artificial Intelligent, Block Chain, IoT, DevOps, Data Science

Latest Post

Search This Ntirawen

Using of First Order Logic (FOL) in Artificial Intelligence

We want to TELL things to the KB, e.g.
TELL (KB,  ∀x,King(x) ⇒Person(x)
TELL(KB, King(John)

These sentence are assertions

We also want to ASK things to the KB,
ASK(KB, ∃x,Person(x))

these are quires or goals

The KB should return the list of x's for which person(x) is true {x/John,x/Richard,...}

FOL Version of Wumpus World
  • Typical percept sentence:
         Percept ([Stench,Breeze,Glitter,None,None]) 
  • Actions:
         Turn (Right), Turn(Left), Forward, Shoot, Grab, Release, Climb
  • To determine best action, construct query:
         ∀ a BestAction(a,5)
  • ASK solves this and returns {a/Grab}
       - And TELL about the action.

Knowledge Base for Wumpus World
  • Perception
            ➝ ∀b,g,t Percept([Breeze,b,g],t ⇒Breeze(t)
            ➝ ∀s,b,t Percept([s,b,Glitter],t) ⇒Glitter(t)
  • Reflex
            ∀tGlitter(t) ⇒ BestAction(Grab,t)

Knowledge engineering in FOL
  1. Identify the task
  2. Assemble the relevant knowledge
  3. Decide on a vocabulary of predicates,functions,and constants
  4. Encode general knowledge about the domain
  5. Encode a description of the specific problem instance
  6. Pose queries to the inference procedure and get answers
  7. Debug the knowledge base

No comments:

Post a Comment

Tags

Popular Posts