These game pieces for networked music performance are based on probabilistic graphical models (PGMs), Bayesian inference and game-theoretical approaches to systemic free improvisation.
I have worked on two main models: Adaptive Markov Networks (or Adaptive Markov Random Fields…same egg different wrapping…) and Pairwise Markov Networks. The first are borrowing ideas from adaptive dynamical systems and economics (relying heavily on Thomas Nunn’s relational functions), while the second are a repeated synchronous Bayesian game for pairwise musical interactions, using a far-fetched and uncomfortable analogy involving terrorism.
ADAPTIVE MARKOV NETWORKS
this is from Wikipedia:
The term telematic performance refers to a live performance (art, dance, music, etc.) which makes use of telecommunications and information technology to distribute the performers between two or more locations.
While this may involve use of conventional videoconferencing technology, it has more recently come to mean the use of internet technologies. Performance groups my also refer to their events as internet concerts, online jamming, or teleconcerts.
This is not from Wikipedia… 🙂
On the 17th November 2015, five musicians from SARC, in Northern Ireland and eight musicians from Amherst College, Massachusetts, USA, improvised over the network using Jacktrip low latency system.
The people involved were:
Jamie Sandel (violin)
Zach Yanes (tenor saxophone)
Rose Minichiello (baritone saxophone)
Michael Dwyer (trombone)
Zoe Biggers (piano)
Rob Croll (guitar)
Steven Molitor (guitar)
Max Rea (drumset)
Amherst coordinator and tech: Jason Robinson
Franziska Schroeder – sax
Andrew Harrison – acoustic guitar
Tristan Clutterbuck – digital synthesis
Stefano Kalonaris – nylon guitar
Claudia Holanda – nylon guitar
Belfast tech: Robin Renwick
Here’s a couple of pics and a video:
telematic – Stef&Tristan
telematic – Franziska & Tristan