Artificial intelligence as relational artifacts in creative learning

Experiences with Artificial Intelligence as an Undergraduate Creative Capstone Course

This paper introduces a model called the “creative capstone” for teaching Artificial Intelligence at the undergraduate level. The model leverages AI’s image as a creative endeavor, while mitigating its image as a less practical option. The course was implemented and taught five times, and the resulting experiences are described. Specific techniques for helping ensure the success of the course a...

Creative machines: The next frontier in artificial intelligence

A letter to a friend: Artificial intelligence and intelligent artifacts

Deep Reinforcement Learning as Foundation for Artificial General Intelligence

Deep machine learning and reinforcement learning are two complementing fields within the study of intelligent systems. When combined, it is argued that they offer a promising path for achieving artificial general intelligence (AGI). This chapter outlines the concepts facilitating such merger of technologies and motivates a framework for building scalable intelligent machines. The prospect of ut...

Biological Learning and Artificial Intelligence

It was once taken for granted that learning in animals and man could be explained with a simple set of general learning rules, but over the last hundred years, a substantial amount of evidence has been accumulated that points in a quite different direction. In animal learning theory, the laws of learning are no longer considered general. Instead, it has been necessary to explain behaviour in te...