With the rise of artificial intelligence in recent years, there has been a rapid increase in its application towards creative domains, including music. There exist many systems built that apply machine learning approaches to the problem of computer-assisted music composition (CAC). Calliope is a web application that assists users in performing a variety of multi-track composition tasks in the symbolic domain. The user can upload (Musical Instrument Digital Interface) MIDI files, visualize and edit MIDI tracks, and generate partial (via bar in-filling) or complete multi-track content using the Multi-Track Music Machine (MMM). Generation of new MIDI excerpts can be done in batch and can be combined with active playback listening for an enhanced assisted-composition workflow. The user can export generated MIDI materials or directly stream MIDI playback from the system to their favorite Digital Audio Workstation (DA W). We present a demonstration of the system, its features, generative parameters and describe the co-creative workflows that it affords.

Musical Metacreation tries to obtain creative behaviors from computers algorithms composing music. In this paper I briefly analyze how this field evolved from algorithmic composition to be focused on the search for creativity, and I point out some issues in pursuing this goal. Finally, I argue that hybridization of algorithms can be a useful direction for research.

The event is hosted by the Division of Speech, Music and Hearing, School of Electrical and Computer Engineering, KTH in collaboration with the Royal Conservatory of Music (KMH). The computational simulation of musical creativity continues to be an exciting and significant area of academic research, and is now making impacts in commercial realms. Such systems pose several theoretical and technical challenges, and are the result of an interdisciplinary effort that encompasses the domains of music, artificial intelligence, cognitive science and philosophy. The 2020 Joint Conference on AI Music Creativity brings together for the first time two overlapping but distinct research forums: The Computer Simulation of Music Creativity conference (est. The principal goal is to bring together scholars and artists interested in the virtual emulation of musical creativity and its use for music creation, and to provide an interdisciplinary platform to promote, present and discuss their work in scientific and artistic contexts.

The workshops took place October 8-9, 2012, at Stanford University. This report contains summaries of the activities of those four workshops. With the advent of the BWAPI StarCraft programming interface, interest in real-time strategy (RTS) game AI has increased considerably. At the 2011 AIIDE conference, several papers on the subject were presented, ranging from build order planning, over state estimation, to plan recognition. In addition, a panel discussion on RTS game AI took place, the StarCraft competition was discussed, prizes were awarded, and two exhibition match replays were shown.

Workshops were held on the two days prior to the start of the main conference, giving attendees a chance to hold indepth discussions on topics that complement the themes of the main conference program. This year the workshops included the First Workshop on AI and Game Aesthetics (1 day), the Second Workshop on AI in the Game Design Process (1 day), the Second International Workshop on Musical Metacreation (2 day), and the Sixth Workshop on Intelligent Narrative Technologies (2 day). The goal of the Second Workshop on AI in the Game Design Process was to encourage the use of AI in enhancing the process of designing games and to enable new kinds of games that would be unreachable without intelligent automation. The Second International Workshop on Musical Metacreation brought together leading researchers, and practitioners investigating the design, development, and evaluation of computational systems for the autonomous generation of music. This report summarizes and highlights these three workshops.

In recent years, the computerization of society has opened the door to the automation of information processes. Artificial intelligence, a subfield of computer sciences, has been tremendously successful at endowing machines with autonomous and proactive behaviors to achieve tasks that rely on intelligence when done by humans. As a result, machines are everywhere: omnipresent and unavoidable. Computational creativity is a new and fast growing field that is exploring the automation of creative processes. It investigates creativity as it is (striving to understand and simulate human creativity) as well as creativity as it could be (processes that we know humans to be incapable of, at least without machines).