We describe an agent based artist-critic simulation. Artist agents use a swarm based evolutionary art system to evolve images that try to match their preferences. Preferred images are submitted to critic agents who then decide, accordingly to their own criteria, which images should be displayed in a public gallery. The purpose of our model is to enable the implementation of a variety of behavio...

As methods in artist similarity identification using Web Music Information Retrieval perform well on known evaluation sets, we investigate the application of such a method to a more realistic data set. We notice that ambiguous artist names lead to unsatisfying results. We present a simple, efficient and unsupervised method to deal with ambiguous artist names.

Community detection methods from complex network theory are applied to a subset of the Myspace artist network to identify groups of similar artists. Methods based on the greedy optimization of modularity and random walks are used. In a second iteration, inter-artist audio-based similarity scores are used as input to enhance these community detection methods. The resulting community structures a...

In this paper we present RAMA (Relational Artist MAps), a simple yet efficient interface to navigate through networks of music artists. RAMA is built upon a dataset of artist similarity and user-defined tags regarding 583.000 artists gathered from Last.fm. This third-party, publicly available, data about artists similarity and artists tags is used to produce a visualization of artists relations...