Finished first draft of outline

Signed-off-by: Jim Martens <github@2martens.de>

neural-networks/bib.bib

@@ -1,14 +1,84 @@
+% This file was created with JabRef 2.10.
+% Encoding: UTF-8
+
+
+@Article{French1999,
+  Title                    = {Catastrophic forgetting in connectionist networks},
+  Author                   = {French, Robert M},
+  Journaltitle             = {Trends in cognitive sciences},
+  Year                     = {1999},
+  Number                   = {4},
+  Pages                    = {128--135},
+  Volume                   = {3},
+
+  Owner                    = {jim},
+  Timestamp                = {2018.04.20}
+}
+
+@Article{Kirkpatrick2017,
+  Title                    = {Overcoming catastrophic forgetting in neural networks},
+  Author                   = {Kirkpatrick, James and Pascanu, Razvan and Rabinowitz, Neil and Veness, Joel and Desjardins, Guillaume and Rusu, Andrei A and Milan, Kieran and Quan, John and Ramalho, Tiago and Grabska-Barwinska, Agnieszka and others},
+  Journaltitle             = {Proceedings of the National Academy of Sciences},
+  Year                     = {2017},
+  Number                   = {13},
+  Pages                    = {3521--3526},
+  Volume                   = {114},
+
+  Owner                    = {jim},
+  Timestamp                = {2018.04.20}
+}
+
 @Book{Leunen:Scholars:92,
-  author =	 {M.-C. van Leunen},
-  title = 	 {A Handbook for Scholars},
-  publisher = 	{Oxford University Press},
-  year = 	 1992
+  Title                    = {A Handbook for Scholars},
+  Author                   = {M.-C. van Leunen},
+  Year                     = {1992},
+  Publisher                = {Oxford University Press}
+}
+
+@Inproceedings{Shmelkov2017,
+  Title                    = {Incremental Learning of Object Detectors without Catastrophic Forgetting},
+  Author                   = {Shmelkov, Konstantin and Schmid, Cordelia and Alahari, Karteek},
+  Booktitle                = {ICCV},
+  Date                     = {2017-10-22/2017-10-29},
+  Year                     = {2017},
+  Publisher                = {IEEE},
+
+  Journaltitle             = {arXiv preprint arXiv:1708.06977},
+  Owner                    = {jim},
+  Timestamp                = {2018.04.20}
 }
 
 @Misc{Taylor:SIGuide:95,
-  author =	 {B. N. Taylor},
-  title =	 {Guide for the Use of the International System of Units (SI)},
-  howpublished = {NIST Special Publication 811},
-  year =	 1995,
-  note =	 {\url{http://physics.nist.gov/Document/sp811.pdf}}
+  Title                    = {Guide for the Use of the International System of Units (SI)},
+  Author                   = {B. N. Taylor},
+  Year                     = {1995},
+  HowPublished             = {NIST Special Publication 811},
+  Note                     = {\url{http://physics.nist.gov/Document/sp811.pdf}}
 }
+
+@Inbook{Toutounji2016,
+  Title                    = {Autonomous Learning Needs a Second Environmental Feedback Loop},
+  Author                   = {Toutounji, Hazem and Pasemann, Frank},
+  Booktitle                = {Computational Intelligence},
+  Year                     = {2016},
+  Pages                    = {455--472},
+  Publisher                = {Springer},
+
+  Owner                    = {jim},
+  Timestamp                = {2018.04.20}
+}
+
+@Article{Velez2017,
+  Title                    = {Diffusion-based neuromodulation can eliminate catastrophic forgetting in simple neural networks},
+  Author                   = {Velez, Roby and Clune, Jeff},
+  Journaltitle             = {PloS one},
+  Year                     = {2017},
+  Editor                   = {Irene Sendiña-Nadal},
+  Number                   = {11},
+  Pages                    = {e0187736},
+  Volume                   = {12},
+
+  Owner                    = {jim},
+  Timestamp                = {2018.04.20}
+}
+

neural-networks/outline.tex

@@ -21,7 +21,7 @@
 % \selectlanguage{german}
 
 % If the thesis is written in English:
-\usepackage[english]{babel}
+\usepackage[spanish,english]{babel}
 \selectlanguage{english}
 
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
@@ -43,6 +43,7 @@
 \usepackage{fancybox}                   % Gleichungen einrahmen
 %\usepackage{fancyhdr}										% Packet for nicer headers
 \usepackage[automark]{scrlayer-scrpage}
+\usepackage[hidelinks]{hyperref}\urlstyle{rm}
 %\usepackage{fancyheadings}             % Nicer numbering of headlines
 
 %\usepackage[outer=3.35cm]{geometry} 	  % Type area (size, margins...) !!!Release version
@@ -67,7 +68,9 @@
 \usepackage[
 backend=biber,
 bibstyle=ieee,
-citestyle=ieee
+citestyle=ieee,
+minnames=1,
+maxnames=2
 ]{biblatex}
 
 \addbibresource{bib.bib}
@@ -201,15 +204,67 @@ citestyle=ieee
 \section{Introduction}
 \label{sec:introduction}
 
-Your text here...
+Autonomous robots need to adapt to new situations. They have a need to learn
+for an entire life. In order to do this they need a second environmental feedback
+loop that tells them when to learn.\cite{Toutounji2016}
 
-\cite{Leunen:Scholars:92}
-\cite{Taylor:SIGuide:95}
+The learning poses another problem as well. The previously learned weights
+are usually largely forgotten, which is known as catastrophic forgetting.\cite{French1999}
+
+Since catastrophic forgetting is a key problem for autonomous learning, it is
+crucial to overcome it. In this paper I will present some approaches for
+learning in an autonomous setup to analyse which of them if any can overcome
+catastrophic forgetting. Attempts to overcome that were made by
+Kirkpatrick\cite{Kirkpatrick2017}, Velez\cite{Velez2017} and Shmelkov\cite{Shmelkov2017}.
+
+\section{Neuromodulation}
+\label{sec:neuromodulation}
+
+Neuromodulation is a way to implement the second environmental feedback loop.
+A Modulated Neural Network (MNN) contains neuromodulator cells (NMC), which are
+attached to carrier neurons with a modulatory subnetwork (MSN).
+
+Neuromodulation can also be done based upon Diffusion.
+
+\section{Plasticity}
+\label{sec:plasticity}
+
+Plasticity can be realized by various approaches. Here three approaches are
+presented, Modulated Random Search, Modulated Gaussian Walk and Diffusion based
+neuromodulation.
+
+\subsection{Modulated Random Search}
+\label{subsec:mrs}
+
+Does things.
+
+\subsection{Modulated Gaussian Walk}
+\label{subsec:mgw}
+
+Does things more efficient.
+
+\subsection{Localized learning}
+\label{subsec:diffusion}
+
+Velez describe another approach that employs
+modularity for the learning. Essentially this results in task-specific localized
+learning and functional modules for each subtask.
+
+\section{Comparison regarding catastrophic forgetting}
+\label{sec:comparison}
+
+Modulated Random Search is not at all useful for overcoming catastrophic forgetting.
+Modulated Gaussian Walk improves to that end.
+Localized learning overcomes catastrophic forgetting for small
+networks.
 
 \section{Conclusion}
 \label{sec:concl}
 
-Your text here...
+A second environmental feedback loop is important to tell autonomous systems
+when to learn. But the method to learn is important as well to be any use
+in a practical environment. A comparison has shown that localized learning
+can overcome catastrophic forgetting for small networks.
 
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 % hier werden - zum Ende des Textes - die bibliographischen Referenzen