Reference no: EM133369944

Question: Does ChatGPT (chat.openai.com) pass the Turing test in your opinion? Why or why not? Justify your answer. Also, look up at least one professional or scholarly opinion on this question, properly reference it, and discuss whether or not you agree with it. Do all this on one page. I strongly suggest that you type your response.

2. I asked ChatGPT to write me a Winograd schema and it gave me the schema from Poole's text.

"The city councilmen refused the demonstrators a permit because they feared violence." vs "The city councilmen refused the permit to the demonstrators because they feared violence."

So I asked it to give me a different Winograd schema. Here is what it came up with.

The city council members were trying to decide which park to build a new playground in. "Let's build it in Park A," said one member. "But Park A is too small," replied another. "What about Park B?" suggested the first member. "Park B is too far away from the residential areas," argued the second. "Well, what about Park C?" asked the first member. "Park C is just right," said the second member, "It has enough space and it's close to where the children live."

Is this a Winograd schema? Justify your answer based on the definition in the textbook.

Consider the "reverse" Kruskal algorithm:
Start with a potential MST containing every edge of the graph. Order these edges from heaviest to lightest.

Iterate down the list of edges. Remove each edge in turn. If the graph is still connected after removing this edge, throw the edge out of the MST and continue down the edge list to lighter edges. Otherwise, if removing this edge disconnects the graph, put it back into the potential MST.

Once you've iterated over all the edges, you have an MST. This can be easily proven, but that's not what I want you to do.

Here's the question: Is this a faster or slower way to find an MST than the "forward" Kruskal's algorithm? Or does the answer depend on the problem? Justify your answer.