I want to know whether Artificial Neural Networks can be applied to discrete values inputs? I know they can be applied to continuous valued inputs, but can they be applied to discrete valued ones? Als
The following class parses through a very large string (an entire novel of text) and breaks it into consecutive 4-character strings that are stored as a Tuple. Then each tuple can be assigned a probab
This might be a naive question, but i am really interested to know why logic was developed to be used in AI. In particular, what was the need to develop first order logic and PDDL in AI, 开发者_Go百科
Recently I was checking up on some AI possibilities and found out about babel-lang, which seems to be an interesti开发者_如何学运维ng concept.
Is the A* path finding algorithm guaranteed to find the shortest path 100% or the time, if implemented correctly?
In the book \"Artificial Intelligence: A Modern Approach\", Norvig and Russell define a rational agent as follows:
I am adding a feature to an application in which the students answer questions that are more descriptive in nature. I am curious to know if there\'s a way to make the system \"smart\" enough to grade
I\'m working on a project which will have a select开发者_运维技巧ed set of data and each data will have different attributes. I will need to use a fitness function to choose the data that best matches
I am new to Artificial Neural Networks. I am interested in an application like this: I have a significantly large set of objects. Each object has six properties, denoted by P1–P6.Each proper
I am trying to implement some AI planning algorithms in C, but got stuck with the basic concept :) Before jumping to the main problem, I tried implementing some small framework that would support prop
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