Accounting for Creativity Within a Psychologically Realistic Cognitive Architecture - Computational Creativity Research: Towards Creative Machines - page 145

Chapter 8
Accounting for Creativity Within
a Psychologically Realistic Cognitive
Architecture

Ron Sun and Sebastien Helie

Abstract Creativity research, computational or otherwise, can benefit from a
detailed understanding of human creative problem solving. The psychological
processes of human creative problem solving have been tackled using computational
modeling and simulation based on the CLARION cognitive architecture. CLARION,
in general, attempts to provide a unified explanation of a wide range of psychologi-
cal phenomena using five basic principles. By using these CLARION principles, the
Explicit-Implicit Interaction (EII) theory of creative problem solving was derived,
which provides a unified framework for understanding creative problem solving. A
list of phenomena that can be accounted for by the EII theory and simulated using
the CLARION cognitive architecture is presented. This work represents a step in the
development of unified process-based theories of creativity encompassing incuba-
tion, insight, and various other related phenomena. Beyond EII, the roles of motiva-
tion, personality, emotion, and social interaction in creativity may also be explored
using CLARION.

8.1 Introduction

Creativity research, computational or otherwise, can benefit from a detailed under-
standing of human creative problem solving, including the detailed psychological
processes and mechanisms involved therein. Psychological processes of human cre-
ative problem solving have been tackled with a variety of means, including compu-
tational modeling and simulation, for example, based on the CLARION cognitive
architecture [ 26 , 31 ].