AAAI Publications, Fourth AAAI Symposium on Educational Advances in Artificial Intelligence

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Learning about Representational Modality: Design and Programming Projects for Knowledge-Based AI
Ashok K. Goel, Maithilee Kunda, David Joyner, Swaroop Vattam

Last modified: 2013-06-28

Abstract


Many AI courses include design and programming projects that provide students with opportunities for experiential learning. Design and programming projects in courses on knowledge-based AI typically explore topics in knowledge, memory, reasoning, and learning. Traditional AI curricula, however, seldom highlight issues of modality of representations, often focusing solely on propositional representations. In this paper, we report on an investigation into learning about representational modality through a series of projects based around geometric analogy problems similar to the Raven’s Progressive Matrices test of intelligence. We conducted this experiment over three years, from Fall 2010 through Fall 2012, in a class on knowledge-based AI. We used the methodology of action research in which the teacher is also the researcher. We discovered that students found these projects motivating, engaging, and challenging, in several cases investing significant time and posting their work online. From our perspective, the projects accomplished the goal of learning about representational modality in addition to knowledge representation and reasoning.

Keywords


Design and Programming Projects, Knowledge Representation, Modality, Psychometric AI, Raven's Progressive Matrices

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