# HG changeset patch
# User Henrik Ekeus <hekeus@eecs.qmul.ac.uk>
# Date 1329914352 0
# Node ID ee21f70c76e410c6403f312bac1a674bf468a477
# Parent  58148b0c3ca847d12e9d9db69733532f06441d3b
added initial outline document

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+\documentclass[a4paper,11pt]{report}
+\usepackage{geometry}
+\usepackage{graphicx}
+\usepackage{amssymb}
+\usepackage{epstopdf}
+\usepackage{url}
+\usepackage{listings}
+
+\usepackage[parfill]{parskip}
+\begin{document}
+\title{Cognitive Information Processing Workshop Paper Outline}
+
+
+\maketitle
+%\setcounter{secnumdepth}{2}
+\setcounter{tocdepth}{2}
+\tableofcontents
+\abstract{What is our core hypthesis? \emph{People take in information when perceiving music.  With it they continually build predictive models of what is going to happen.  An information theoretic approach to music cognition is thus a fruitful avenue of research.}}
+
+
+\section{Intro}
+\subsection{Information Theory and prediction}
+Bayesian probabillity and modeling the building of predictions
+\subsection{Link to music}
+Music as a temporal pattern.  Meyer, Narmour. Music unfolding in time.  How listeners see different kinds of predictability in musical patters..
+\section{Information Dynamics Approach}
+
+\subsection{Re-iterate core hypothesis}
+
+\subsection{models/parameters/observations}
+The grouping of elements into past, present and future..s
+\subsection{Information measures}
+Predictive information rate as a measure of structure 
+Cruchfield papers, anatomy of abit
+\subsection{Case of this approach being good at modelling music cognition}
+Inverted U
+\section{Applications}
+\subsection{Information Dynamics as Design Tool }
+\subsubsection{The Melody Triangle}
+	What it is
+	
+	As composition assistant
+	
+	generation of non-sonic content \emph{maybe?}
+
+\subsubsection{Boredom detector?}
+
+\subsubsection{Musical Preference and Information Dynamics}
+   Any results from this study
+\subsection{In Analysis}
+	refer to the work with the analysis of minimalist pieces
+	
+	Content analysis - Sound Categorisation.  Using Information Dynamics it is possible to segment music.  From there we can then use this to search large data sets. Determine musical structure for the purpose of playlist navigation and search. (Peter)
+
+\subsection{Beat Tracking}
+  Bayesian belief can be used to predict when things happen (as oppose to just what happens).  Information Dynamics of?
+  
+
+\section{Conclusion}
+
+\end{document}
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