1- Given the following graph of possible flights between seven US cities: Omaha Seattle Albany Boston Fresno Dallas Atlanta Write a Prolog program that would check if there is a route from a city A to a city B
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A: SUMMARY: - Hence, we discussed all the points.
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A: Answer:
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- Subject: artificial intelligence Forward chaining and Backward chaining Suppose that the coding resulting from the acceptance of knowledge is as follows: A1 = body temperature >= 38°C A2 = cough A3 = cold A4 = persistent cough especially at night A5 = breath sounds P1 = common fever P2 = normal cough P3 = influenza / viral infection P4 = whooping cough P5 = respiratory tract infection The rules on the knowledge base include: R1 : IF A1 THEN P1 R2 : IF A2 THEN P2 R3 : IF P1 and (P2 or A3) THEN P3 R4 : IF P3 and A4 THEN P4 R5 : IF P3 and A5 THEN P5 The facts obtained from the user are that the fever, cough, and cough are more frequent at night (A1, A2, A4 → true). Explain the steps to get a conclusion if the inference technique used is: a. Forward chaining b. Backward chainingThis is a classical Prolog application. Given the following graph of possible flights between eight US cities. (See Attached Screenshot) A) Build a prolog using the predicate directFlight/2 which encodes one city has direct flight to another city. B) Add to rule that checks if there is a route between two cities. Routes of length zero are allowed. Example queries:route(chicago, chicago). should return yes.route(chicago,la). should return yes. route(la,'San Fracisco'). should return no. C) Add a rule that checks if a route has two legs. Example queries: route_of_2_legs(chicago,la). should return yes route_of_2_legs(chicago,denver). should return no D) Add cost factor to directFlight, route, and route_of_2_legs so that the knowledge base can tell the cost associated with each flight. For example, route(chicago, X, Y). tells all the cities reachable from Chicago, and the cost(Y)to fly from Chicago to each city(X).Please create a CKY table for each of the remaining sentences. Given grammar is: S -> NP VP NP -> 'I' | 'Texas' | 'South Padre' | 'hotel' | 'beach' | 'view' | 'sunrise' | 'vacation' | 'boat' | 'water' | 'trip' | 'waves' | 'speed' VP -> 'want' 'to' V | 'like' NP | 'Go' 'to' NP | 'Get' 'a' NP | 'On' 'the' NP | 'Love' 'the' NP | 'Book' 'a' NP | 'Need' 'this' NP | 'Prefer' 'the' NP | 'enjoy' NP V -> 'travel' | 'swim' | 'be' Waves are high Prefer the boat I enjoy speed
- Computer Science Draw a first order predicate logic proposition for the sentence “Everyone who works hard in CST 3170 passes, and someone passes every year.”Discuss the following the following graph like structures below and provide a case each for which they have been applied in AI models. a. K-means b. K-nearest neighbors c. Decision tress d. Random forests e. Markov chains f. Neural networks.Convert the following to Prolog-headed Horn clauses:(a) If Harry is the father of Joe and Harry is the father of Bill, then Bill and Joe are siblings.(b) If Charmander evolves into Charmeleon and Charmeleon evolves into Charizard, then Charizard is the SecondStage of Charmander.
- PLEASE HELP WITH ARTIFICIAL INTELLIGENCE, I'LL DEFINETELY UPVOTE IF YOUR SOLUTION IS CORRECT!! 1. Consider the following stories: “All dogs who are not tired and are smart are happy. Those dogs who do tricks are not stupid. Fido can do tricks and is full of energy. Happy dogs have exciting lives.” Translate the sentences of into predicate form Transform the predicate sentences into clause form Prove via forward chaining that Fido has an exciting life Prove via backward chaining that Fido has an exciting life Prove via Resolution that Fido has an exciting life 2. “Anyone passing the history exams and winning the lottery is happy. But anyone who studies or is lucky can pass all the exams. John did not study, but he is lucky. Anyone who is lucky wins the lottery.” Translate the sentences of into predicate form Transform the predicate sentences into clause form Prove via forward chaining that John is happy. Prove via backward chaining that John is happy Prove via Resolution that John is…Discuss the following the following graph like structures below and provide a case each for which they have been applied in AI models. K-means K-nearest neighbors Decision tress Random forests Markov chains Neural networks.Translate each of the following sentences into predicate calculus, conceptual dependencies, and conceptual graphs: 1. “Basketball players are tall.” 2. “Paul cut down the tree with an axe.” 3. “Place all the ingredients in a bowl and mix thoroughly.”
- Computer Science USING R Describe the relationship between variables---`survival` and `sex`--- # using ggplot.Develop a Turing machine for the language L={w∈{0,1}∗ ||w|isoddandwcontainsatleastone1}. This means that the Turing machine should accept all strings over {0, 1} of odd length that contain at least one 1. Show the state transition diagram in addition to your defi- nition of the Turing machine. Show the working of your Turing machine on the strings “0010”, “00101”, and “000”.Given the grammar S→ aS|aSbS|ε tell whether the following string is produced by this grammar (1 pt). NP if not produced, P if produced. a. aaaaaaaaaa b. abababababab c. aabbaabbaa d. aaaaabaaaaa e. bbbaaaaaaaaa