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...

Extracted text: 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) Theses variables can affect each other or impact upon one another. [ P1,1 P12 Pij P2j P1s ... ... P21 P22 P2.5 ... ... P = P1 P2 Pij Pis ... ... Ps,1 Ps2 The matix P represent the general form of an state matrix. Psj Ps.s. Below is a table of the variables with their effect on each other. A B D A 0.1 0.1 0.1 0.7 B 0.2 0.3 0.2 0.3 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. .25 .20 .25 .30 .20 30 .25 .30 .25 .20 .40 .10 A 30 30 .10 .30 C. Discuss the significance of hidden markov chain in a historic data.