An artificial intelligence system was design to forecast the financial trading market and predict change based on observed variables from the business environment. A machine learning model is to be designed in understand and forecast trends based on Markov chain.

The variables to be observed are

• Population(A)
• Poverty rate(B)
• Inflation (C)
• Available resources(D)
• 

• The matix P represent the general form of an state matrix.

  Below is a table of the variables with their effect on each other

  • 	A	B	C	D
    A	0.2	0.2	0.3	0.3
    B	0.2	0.3	0.2	0.3
    C	0.3	0.4	0.1	0.2
    D	0.4	0.2	0.2	0.2

    Answer the following question below:

  • a. Provide a general markov state diagram for the variable described.

  • b. Assuming the below factor, A, affected the state in the table above, produce the state diagram for, A, and calculate the final state.
  • 
  • c. Discuss the significance of hidden markov chain in a historic data.

  • d. Download two scientific peer reviewed and published paper and discuss how the markov chain has been applied in AI and the significance of the results.

.. P11 P1.2 P2,1 P2,2 P1j P2.j Pus P2.s . : P= Pij Pis : : P1 P2 : : Ps,1 PS,2 Psj Ps.s A= .25 20 25 30 .20 30 .25 .30 .25 20 40 .10 .30 30.10.30 .. P11 P1.2 P2,1 P2,2 P1j P2.j Pus P2.s . : P= Pij Pis : : P1 P2 : : Ps,1 PS,2 Psj Ps.s A= .25 20 25 30 .20 30 .25 .30 .25 20 40 .10 .30 30.10.30