Teaching introductory AI from first principles

Teaching Introductory AI: A Design Stance

Teaching introductory AI is notoriously challenging. My experience in teaching AI suggests that this because of four main reasons: 1. Fragmentation of AI as a Subject of Study. AI as a subject of study and research is not only new, it is also fragmented. Beyond a few general goals and core assumptions, there is at present little agreement among AI researchers about even the most basic issues in...

Fleeble Agent Framework for Teaching an Introductory Course In AI

This paper describes both a Java-implemented agent framework and the practical assignments designed for the purposes of teaching an introductory undergraduate Artificial Intelligence (AI) course. Although numerous agent frameworks have been suggested in the vast body of literature, none of these are simple enough for usage by first year undergraduate students. Hence we set out to create a new f...

Teaching Introductory

Teaching Introductory courses in Computer science in a Liberal Arts College faces a lot of problems: different way of thinking for most of the students, hard topics, and students’ unpreparedness for disciplined systematic thinking. Active learning – building knowledge on the previous with progressive assignments, based on a constructivist approach, seems to be the path of effective teaching int...

Teaching Introductory Psychology: Tips from Top

Introductory AI for Whom? Presenting AI to the Non-Scientist

Artificial Intelligence, as a set of tools for describing, analyzing and creating artifacts, has much to offer the humanities and social sciences. These ideas may be applied to far more informal human artifacts such as culture, as a means to better understand the non-engineered complex artifacts which surround us. This paper describes "AI for Everyone", a course for advanced undergraduates whic...