Preface
Prologue
Aim of This Book
Overview
Artificial Neural Networks
Generative AI
Rationale
References
Generative AI
Introduction
Portrait of Edmond de Belamy
Originality
A Meaning Instinct
Algorithmic Creativity
A Simulacrum Machine
Sentience and the Emotions
References
The Architecture of Creativity
Introduction
The Brain’s Neural Network Architecture
Artificial Neural Network Architecture
Conceptualization
The ELIZA Effect
Patternicity
Emergence
References
Creativity in Humans and Machines
Introduction
The Concept of Creativity
Human Creativity
Artificial Creativity
Revisiting Aura Theory
The Dilemma of Meaning
The Mathematical Blueprint
References
AI-Generated Arts
Introduction
AI Visual Art
AI Musical Art
AI Literature
AI Cinematic and Video Art
Death of the Artist
References
AI in Problem-Solving
Introduction
Background
Board Game Creativity
Problem-Solving Creativity
The P-versus-NP Problem
Paradoxes
References
Robot Creativity
Introduction
Embodied Computational Creativity
Game-Playing Robots
Conway’s Game of Life
Robot Performers
Robot Artists
Robots as Simulacra
References
The Phenomenon of Creativity
Introduction
Existential Purpose of Creativity
Beyond the Code
Intent and Feeling
Combinatory Play
A Creative Singularity?
References
Epilogue
Five Main Observations
Observation 1: The Question of Meaning
Observation 2: Authorship
Observation 3: The Aura
Observation 4: A Creative Singularity
Observation 5: Co-Evolution
Concluding Remarks
References
Index
Biography
Marcel Danesi is Professor Emeritus of Linguistic Anthropology and Semiotics at the University of Toronto. He is a co-founder of the Cognitive Science Network at the Fields Institute for Research in Mathematical Sciences, which aims to study the relation between the mind, culture, and mathematical discovery. His most recent publications have focused on the relation between technology, mass media, human meaning systems, and artificial intelligence. He was the editor of the journal Semiotica for over 20 years.
