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Week 5 - Friday What did we talk about last time? Simulation and modeling Bioinformatics If statements in Python Artificial intelligence (AI) is hard to define Trying to make machines think? Goals Problem solving Representing knowledge Creating machines that can learn Natural language processing Interpreting and interacting with the physical world and humans Creativity General intelligence is perhaps the combination of all these things Achieving general intelligence is sometimes called strong AI There are many approaches for generating various aspects of artificial intelligence Simulating the human brain ▪ Like with Blue Gene Symbolic approaches ▪ Views all intelligence as manipulating symbols Sub-symbolic approaches ▪ Became popular in the 1980s ▪ Tries to process data without directly manipulating symbols Statistical approaches Combinations Neural networks are a popular sub-symbolic tool They are composed of simple nodes that take numerical inputs and add them together with different weights By adjusting the weights, you can train a group of nodes to solve a problem There are handwriting recognizers and speech recognizers that use neural networks i In the 1990s, statistical approaches became popular For example, you can analyze language statistically and Find rarely used words, are some of them misspelled? Find buzzwords Link different search terms together Know that this phrase in Farsi is almost always translated into that phrase in English Most of Google's success in AI has been statistical Like neural networks, statistical models of how speech (or other intelligent behavior) is formed tend to give us little insight into how intelligence works But they work! Alan Turing, a great early computer scientist, argued that acting like a human being was proof of intelligence In the Turing test, person A (call her Alice) texts with entity B (call him Bob) Bob could be a computer or a human If a computer can reliably fool Alice into thinking is a human, it is displaying human intelligence Alice: Are you a human? Bob: What else would I be? Alice: Do you like pie? Bob: The value of pi is approximately 3.141592 John Searle proposed an argument against symbolic AI and the Turing test: Imagine a room filled with rules to manipulate symbols A man in the room receives symbols written on paper slipped through a slot in the door He follows the rules, creates new symbols, writes them on paper, and slips them back out the slot The symbols are actually Chinese characters Because the rules are complex enough, the Chinese speaker on the outside believes that she is interacting with someone who understands Chinese Does the man in the room understand Chinese? Do our brains understand English or are they just manipulating symbols? So, what about the evil AI we see in movies? Will Skynet take over the world? Computers are stupid They follow our instructions blindly (though quickly) Maybe some of the brain simulation research will lead to a machine with human intelligence At the moment, we are very far away Some people like Ray Kurzweil think that change will happen fast If computers become intelligent enough to write programs, who knows what could happen? I'm not worried The most impressive feature of Siri is her voice recognition Some is done on the device, some is done in the cloud After that, some statistical work is done to decide what your command or question means And how good is it? For a limited set of commands that relate directly to iPhone functions (playing songs, calling contacts), it's great Apple engineers put in some clever answers to a few set questions Otherwise, it gets disappointing fast The while loop runs as long as a condition is true countdown = 10 while countdown > 0: print(countdown) countdown = countdown – 1 print("Blast-off!") In this case, when countdown becomes 0, the loop stops (since 0 is not less than 0) Note that while loops use the same relational operators as if statements If you want to do something, say, 10 times in Python, you can use a for loop But you need to call the range() method to generate a list of numbers for you for i in range(10): print(i) In this case, the loop will run 10 times, and the numbers 0, 1, 2, 3, 4, 5, 6, 7, 8, and 9 will print out In Python, the primary way to make a choice is with an if statement if phrase == "open sesame": print("Welcome, Ali Baba!") else: print("Access denied!") Whatever code is under the if and tabbed in will only be executed if the condition is true Optionally, an else section can be added if you want to do something if the condition is false Conditions often use the following relational operators to make a comparison: ==, !=, <, <=, >, >= The if and else constructs allow us to choose between two possibilities What if we wanted more? We can extend these constructs with elif to handle additional conditions elif is short for "else if" It's used when the prior condition wasn't true and we want to check another condition if number == 1: print("First") elif number == 2: print("Second") elif number == 3: print("Third") else: print(number + "th") The elif construct if used if you want a bunch of mutually exclusive outcomes Only one of the choices is possible It is very common to end a sequence of if, elif, elif, elif, … statements with an else, whose code will be executed if none of the previous cases was true However, the else is not used if there's nothing to be done when no case matches Graph theory Start working on Project 2 Read Python Chapter 5