Creative AI Through Evolutionary Computation: Principles and Examples

Evolutionary computation in creative design

Ai and Creative Engineering Design

We discuss the following question: can computers upport the early phases of engineering design, and, if so, how? We argue that a large collection of domain knowledge is required for such a support tool, and that the design method developed by AltshuUer in the Soviet-Union forms a good starting point for this. Much work will have to be carried out to restructure and complete the domain knowledge...

Reinforcement Learning through Evolutionary Computation

This article characterizes the evolutionary algorithm approach to reinforcement learning in relation to the more standard, temporal diierence methods. We describe several research issues in reinforcement learning and discuss similarities and diierences in how they are addressed by the two methods. A short survey of evolutionary reinforcement learning systems and their successful applications is...

Bridging principles and examples through analogy and explanation

Previous research in cognitive science has shown that analogical comparison and self-explanation are two powerful learning activities that can improve conceptual learning in laboratory settings. The current work examines whether these results generalize to students learning physics in a classroom setting. Students were randomly assigned to one of three worked example learning conditions (readin...

Coordinating principles and examples through analogy and self-explanation

Research on expertise suggests that a critical aspect of expert understanding is knowledge of the relations between domain principles and problem features. We investigated two instructional pathways hypothesized to facilitate students’ learning of these relations when studying worked examples. The first path is through self-explaining how worked examples instantiate domain principles and the se...