Artificial imagination, also called synthetic imagination or machine imagination, is defined as the artificial simulation of human imagination by general or special purpose computers or artificial neural networks. The applied form of it is known as media synthesis or synthetic media. The term artificial imagination is also used to describe a property of machines or programs. Some of the traits that researchers hope to simulate include creativity, vision, digital art, humor, and satire. Artificial imagination research uses tools and insights from many fields, including computer science, rhetoric, psychology, creative arts, philosophy, neuroscience, affective computing, Artificial Intelligence, cognitive science, linguistics, operations research, creative writing, probability and logic. Practitioners in the field are researching various aspects of Artificial imagination, such as Artificial (visual) imagination, Artificial (aural) Imagination, modeling/filtering content based on human emotions and Interactive Search. Some articles on the topic speculate on how artificial imagination may evolve to create an artificial world "people may be comfortable enough to escape from the real world". Some researchers such as G. Schleis and M. Rizki have focused on using artificial neural networks to simulate artificial imagination. Another important project is being led by Hiroharu Kato and Tatsuya Harada at the University of Tokyo in Japan. They have developed a computer capable of translating a description of an object into an image, which could be the easiest way to define what imagination is. Their idea is based on the concept of an image as a series of pixels divided into short sequences that correspond to a specific part of an image. The scientists call this sequences “visual words” and those can be interpreted by the machine using statistical distribution to read an create an image of an object the machine has not encountered. The topic of artificial imagination has garnered interest from scholars outside the computer science domain, such as noted communications scholar Ernest Bormann, who came up with the Symbolic Convergence Theory and worked on a project to develop artificial imagination in computer systems. An interdisciplinary research seminar organized by the artist Grégory Chatonsky on artificial imagination and postdigital art has taken place since 2017 at the Ecole Normale Supérieure in Paris. How to Build a Mind: Toward Machines with Imagination by Igor Aleksander is an academic book on the topic; Artificial Imagination, a roman à clef, a non-academic book supposedly written by an Artificial imagination system named Kalpanik S. and published by the