Intelligent agent development using unstructured text corpora and multiple choice questions
Loading...
Authors
Johnson, Joseph
Issue Date
2016-08
Type
Electronic thesis
Thesis
Thesis
Language
ENG
Keywords
Computer science
Alternative Title
Abstract
This dissertation explores various approaches for developing an intelligent agent in a particular domain: fraud detection. The framework by which we measure our agent is psychometric artificial intelligence, or, more commonly, psychometric AI which focuses on the creation of agents that can successfully pass tests of mental ability. This approach offers a number of benefits, including a well-defined domain, a built-in measure for quantifying the efficacy of the agent in the form of a test score, and a rich environment for deploying various forms of AI, including machine learning, natural language processing, computer vision, et cetera. In this work, our attention we'll be centered around natural language processing (NLP).
Description
August 2016
School of Science
School of Science
Full Citation
Publisher
Rensselaer Polytechnic Institute, Troy, NY