Artificial Intelligence in Computer Science Essay

An important field in computer science today is artificial intelligence. The novel approaches that computer scientists use in this field are looked to for answers to many of the problems that have not been solved through traditional approaches to software engineering thus far. One of the concepts studied and implemented for a variety of tasks in artificial intelligence today is neural networks; they have proven successful in offering an approach to some problems in the field, but they also have some failings. Traditional neural networks, which â€Å"learn† by changing the values, or weights, contained at nodes in a directed graph, suffer from several issues that make actually applying them to a given problem difficult and unwieldy. They†¦show more content†¦One way to demonstrate the abilities of DANs is to use a DAN to solve a difficult problem that computer scientists usually confront with more complex traditional neural networks. One such problem, and one that I hope to use DANs to solve, is automatic document classification. I will write a program harnessing a dynamic associative network to accomplish automatic document classification. In summary, the program will take a provided academic document within philosophy and, using a pre-trained DAN, classify the document into its correct location within an authoritative taxonomy of the field of philosophy. By accomplishing this task, the program will demonstrate that further research into dynamic associative networks is fruitful, while at the same time solving a real-world problem. 2 TECHNICAL APPROACH 2.1 PROBLEM DEFINITION The practical definition of the problem must begin with the work that Michael Zlatkovsky accomplished in 2007-2008: he created a back-end implementation of a dynamic associative network’s multi-node system and coded a node-network visualization that showed the internal workings of a DAN. 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