Temple University 3 credits CIS
In recent years, an emerging field of "Artificial General Intelligence (AGI)" has been formed by researchers who believe in the necessity and possibility of treating Artificial Intelligence (AI) as one problem, rather than as a collection of loosely related problems. This course will cover the major topics in this field, such as objectives and definitions, theoretical foundations, strategies and techniques, limitations and social impacts. Given the current diversity in opinion and practice in the field, the course will be organized around the instructor's own AGI project, NARS (Non-Axiomatic Reasoning System). While the aspects of NARS are introduced, the related AGI problems will be analyzed, along with the alternative solutions proposed by other researchers. The lectures will be accompanied by reading, discussion, and projects. With the help of the instructor, each student will select a topic for a course project, which can be experiments on a particular AGI model, evaluation of the cognitive capabilities of AGI systems, theoretical analysis of an important problem in AGI. Note: To register for this course, students should have earned a grade of "C" or better in college-level Computational Probability and Statistics, Math Concepts in Computing II, Data Structures, Design and Analysis of Algorithms, Operating Systems, and Artificial Intelligence/Machine Learning.
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