\chapterauthor{Guillaume Laville}{Femto-ST Institute, University of Franche-Comte, France}
\chapterauthor{Christophe Lang}{Femto-ST Institute, University of Franche-Comte, France}
-\chapterauthor{Kamel Mazouzi}{Femto-ST Institute, University of Franche-Comte, France}
-\chapterauthor{Nicolas Marilleau}{Femto-ST Institute, University of Franche-Comte, France}
+\chapterauthor{Kamel Mazouzi}{Franche-Comte Computing Center, University of Franche-Comte, France}
+\chapterauthor{Nicolas Marilleau}{UMMISCO, Institut de Recherche pour le Développement (IRD), France}
\chapterauthor{Bénédicte Herrmann}{Femto-ST Institute, University of Franche-Comte, France}
\chapterauthor{Laurent Philippe}{Femto-ST Institute, University of Franche-Comte, France}
\setlength\hangindent{\mylen}%
\hspace*{\mylen}#1\\}
-\chapter{Implementing MAS on GPU}
+\chapter{Implementing Multi-Agent Systems on GPU}
\label{chapter17}
Units (GPU) are also a promising technology with an attractive
performance/cost ratio.
-Conceptually a MAS is a distributed system as it favors the definition
+Conceptually a MAS\index{Multi-Agent System} is a distributed system as it favors the definition
and description of large sets of individuals, the agents, that can be
run in parallel. As a large set of agents could have the same behavior
a SIMD model should fit the simulation execution. Most of the
algorithm which illustrates the case of agents with a simple behavior
and few synchronization problems.
-\subsection{The Collembola model}
+\subsection{The Collembola model\index{Collembola model}}
\label{ch17:subsec:collembolamodel}
The Collembola model is an example of multi-agent system using GIS (Geographical Information System)
