Distributed Sounding Art – Practices in Distributing Sound (eds. Barry Truax, Marcel Cobussen and Vincent Meelberg)

This chapter examines distributed sounding art by focusing on three key aspects that we consider essentially tied to the notion of distribution: assignment, transport and sharing. These aspects aid us in navigating through a number of nodes in a history of sounding art practices where sound becomes assigned, transported and shared between places and people. Sound or data become distributed, and in the process of distribution, meanings become assigned and altered through differing socio-cultural contexts of places and people. We have selected several works, commencing in the 1960’s as we consider this period as having produced some of the seminal works that address distribution.
We draw on works by composers, performers and sound artists and thus present a history of sounding art, which is amongst the many histories of sounding art in the 20th and 21st century.

Assembling a consistent set of sentences in relational probabilistic logic with stochastic independence

We examine the representation of judgements of stochastic independence in probabilistic logics. We focus on a relational logic where (i) judgements of stochastic independence are encoded by directed acyclic graphs, and (ii) probabilistic assessments are flexible in the sense that they are not required to specify a single probability measure. We discuss issues of knowledge representation and inference that arise from our particular combination of graphs, stochastic independence, logical formulas and probabilistic assessments.

Propositional and Relational Bayesian Networks Associated with Imprecise and Qualitative Probabilistic Assessments

This paper investigates a representation language with flexibility inspired by probabilistic logic and compactness inspired by relational Bayesian networks. The goal is to handle propositional and first-order constructs together with precise, imprecise, indeterminate and qualitative probabilistic assessments. The paper shows how this can be achieved through the theory of credal networks. New exact and approximate inference algorithms based on multilinear programming and iterated/loopy propagation of interval probabilities are presented; their superior performance, compared to existing ones, is shown empirically.

Sound Art in Urban Architecture and Planning: An Introduction

This article will introduce a specially-commissioned edition of the JSS centering on articles developed from the International Symposium May 2014 by the Recomposing the City project.