artificial-intelligence

I have spent a whole day trying to implement minimax without really understanding it. Now, , I think I understand how minimax works, but not alpha-beta pruning. This is my understanding of minimax: Generate a list of all possible moves, up until the depth limit. Evaluate how favorable a game field is for every node on the bottom. For every node, (starting from the bottom), the score of that node is the highest score of it's children if the layer is max. If the layer is min, the score of that node is the lowest score of it's children. Perform the move that has the highest score if you are

In the field of Data Mining, is there a specific sub-discipline called 'Similarity'? If yes, what does it deal with. Any examples, links, references will be helpful. Also, being new to the field, I would like the community opinion on how closely related Data Mining and Artificial Intelligence are. Are they synonyms, is one the subset of the other? Thanks in advance for sharing your knowledge. Yin Zhu In the field of Data Mining, is there a specific sub-discipline called 'Similarity'? Yes. There is a specific subfield in data mining and machine learning called metric learning, which aims to

My goal is to write a program capable of extracting tone, personality, and intent from human language inquiries (e.g. I type: How are you doing today? And the AI system responds with something like: Fine. How are you?) I'm aware this is a non-trivial problem, so what deep-learning topics should I start becoming familiar with and what Python modules are most useful? I've already started looking at NLTK. Thanks. The canonical AI book would be Stuart Russell and Peter Norvig's Artifical Intelligence and the accompanying course: https://www.udacity.com/course/intro-to-artificial-intelligence-

Ok, so I am making a Texas Hold'em AI for my senior project. I've created the gui and betting/dealing procedures, but I have reached the part where I need to determine who won the hand, and I do not know the best way to approach this. I am using python btw. ATM i have 2 lists, one for the 7 player cards, one for the 7 computer cards. Currently all cards are stored as a struct in the list as {'Number': XX, 'Suit': x}, where number is 2-14, suit is 1-4. The way I was going to approach this, is make a function for each hand type, starting with the highest. Eg. self.CheckRoyal(playerCards), and

From what I've read so far they seem very similar. Differential evolution uses floating point numbers instead, and the solutions are called vectors? I'm not quite sure what that means. If someone could provide an overview with a little bit about the advantages and disadvantages of both. Well, both genetic algorithms and differential evolution are examples of evolutionary computation. Genetic algorithms keep pretty closely to the metaphor of genetic reproduction. Even the language is mostly the same-- both talk of chromosomes, both talk of genes, the genes are distinct alphabets, both talk of