Worked in train.
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@ -38,6 +38,8 @@
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% LCCS
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% LCCS
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\newcommand{\newch}[1]{\left(\nu #1\right)}
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\newcommand{\linearmark}{$\mathcal{L}$}
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\newcommand{\linearmark}{$\mathcal{L}$}
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\newcommand{\lcalc}{$\lambda$-calculus}
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\newcommand{\lcalc}{$\lambda$-calculus}
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\newcommand{\lccs}{$\lambda$CCS}
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\newcommand{\lccs}{$\lambda$CCS}
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1
math.sty
1
math.sty
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@ -28,6 +28,7 @@
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\newcommand{\eg}{\textit{eg.}}
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\newcommand{\eg}{\textit{eg.}}
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\newcommand{\Eg}{\textit{Eg.}}
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\newcommand{\Eg}{\textit{Eg.}}
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\newcommand{\wrt}{\textit{wrt.}}
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\newcommand{\wrt}{\textit{wrt.}}
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\newcommand{\wlogen}{\textit{wlog.}}
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\newcommand{\st}{\textit{st.}}
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\newcommand{\st}{\textit{st.}}
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% Notations à polices étranges
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% Notations à polices étranges
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284
report.tex
284
report.tex
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@ -32,7 +32,16 @@
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\begin{document}
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\begin{document}
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\maketitle
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\maketitle
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\todo{abstract}
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\begin{abstract}
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During my internship, I have worked on a \emph{deterministic}
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game semantics model for a minimalistic \emph{concurrent} language,
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described using the \emph{games as event structures} formalism. I have
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proved the \emph{adequacy} of this model with the operational semantics of
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the language modelled; and I have implemented this model, allowing one to
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input an expression of the language and getting its representation
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as Dot graph. This implementation also supports basic operations on event
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structures, which could be useful to other people working in this domain.
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\end{abstract}
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\tableofcontents
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\tableofcontents
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@ -295,7 +304,17 @@ To lift the operational semantics to \llccs, we only need to add one rule:
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%%%%%%%%%%%%%%%%%%%%%
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%%%%%%%%%%%%%%%%%%%%%
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\subsection{Examples}
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\subsection{Examples}
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\todo{Examples}
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\begin{itemize}
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\item Simple channel usage: $T_1 \eqdef \newch{a} (a \cdot 1 \parallel
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\bar{a} \cdot 1)$. This term converges: $\left(a \cdot 1 \parallel
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\bar{a} \cdot 1 \right) \redarrow{\tau_a} 1 \parallel 1$, thus $T_1
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\redarrow{\tau} \left(1 \parallel 1\right) \redarrow{\tau} 1$.
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\item Deadlock: $T_2 \eqdef \newch{a} (a \cdot \bar{a} \cdot 1)$. This term
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does not reduce at all: no reduction is possible under the $\nu$.
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\item \todo{More examples?}
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\end{itemize}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\section{A games model}
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\section{A games model}
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@ -547,9 +566,7 @@ $x$ then $y$, it is undefined whether Opponent will receive $x$ then $y$ or $y$
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then $x$.
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then $x$.
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%%%%%
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%%%%%
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\subsubsection{Operations on games and strategies}
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\subsubsection{Operations on games and strategies}\label{sssec:es_operations}
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\todo{Better progression in this part.}
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In order to manipulate strategies and define them by induction over the syntax,
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In order to manipulate strategies and define them by induction over the syntax,
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the following operations will be extensively used. It may also be worth noting
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the following operations will be extensively used. It may also be worth noting
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@ -589,9 +606,9 @@ one strategy plays against the other''.
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${(\leq_\sigma \cup \leq_\tau)}^\ast$ (transitive closure) that may not
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${(\leq_\sigma \cup \leq_\tau)}^\ast$ (transitive closure) that may not
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respect antisymmetry, that is, may have causal loops. The event structure
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respect antisymmetry, that is, may have causal loops. The event structure
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$\sigma \wedge \tau$ is then obtained by removing all the elements
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$\sigma \wedge \tau$ is then obtained by removing all the elements
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contained in such loops from $\sigma \cup \tau$.
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contained in such loops from $\sigma \cap \tau$.
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\end{definition}
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\end{definition}
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\textit{This construction is a simplified version of the analogous one
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\textit{This construction is a simplified version of the analogous one
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from~\cite{castellan2016concurrent} (the pullback), taking advantage of the
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from~\cite{castellan2016concurrent} (the pullback), taking advantage of the
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fact that our event structures are deterministic --- that is, without a
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fact that our event structures are deterministic --- that is, without a
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@ -645,7 +662,7 @@ operator. This identity is called the \emph{copycat} strategy:
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The \emph{copycat strategy} of a game $A$, $\cc_A$, is the strategy on the
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The \emph{copycat strategy} of a game $A$, $\cc_A$, is the strategy on the
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game $A^\perp \parallel A$ whose events are $A^\perp \parallel A$ wholly,
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game $A^\perp \parallel A$ whose events are $A^\perp \parallel A$ wholly,
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on which the order is the transitive closure of $\leq_{A^\perp \parallel A}
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on which the order is the transitive closure of $\leq_{A^\perp \parallel A}
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\cup \set{ (1-i, x) \leq (i, x) \vert x \in A~\&~\rho((i,x)) = \oplus}$.
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\cup \set{ (1-i, e) \leq (i, e) \vert e \in A~\&~\rho((i,e)) = \oplus}$.
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\end{definition}
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\end{definition}
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The copycat strategy of a game is indeed an identity for the composition of
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The copycat strategy of a game is indeed an identity for the composition of
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@ -686,7 +703,7 @@ $\sigma : A$, $\sigma$ is a strategy $\iff$ $\cc_A \strComp \sigma = \sigma$.
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\end{example}
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\end{example}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\subsection{Interpretation of \llccs}
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\subsection{Interpretation of \llccs}\label{ssec:llccs_interp}
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We can now equip \llccs{} with denotational semantics, interpreting the
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We can now equip \llccs{} with denotational semantics, interpreting the
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language as strategies as defined in figure~\ref{fig:llccs:interp}.
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language as strategies as defined in figure~\ref{fig:llccs:interp}.
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@ -817,7 +834,8 @@ games, in this order.
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%%%%%%%%%%%%%%%%%%%%%
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%%%%%%%%%%%%%%%%%%%%%
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\subsection{Adequacy}
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\subsection{Adequacy}
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\todo{A bit more structure}
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We will now prove the major result of this study, the \emph{adequacy} of the
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game semantics.
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\begin{theorem}[Adequacy]
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\begin{theorem}[Adequacy]
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The previous interpretation is \emph{adequate} with the operational
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The previous interpretation is \emph{adequate} with the operational
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@ -826,6 +844,9 @@ games, in this order.
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\left(P \Downarrow\right) \iff \left(\seman{P} = \seman{1}\right) \]
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\left(P \Downarrow\right) \iff \left(\seman{P} = \seman{1}\right) \]
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\end{theorem}
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\end{theorem}
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In order to prove the theorem, a few intermediary definitions and results are
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required.
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\begin{definition}[Evaluation in a context]
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\begin{definition}[Evaluation in a context]
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For $l$ a list of channels and $P$ a term, the evaluation of $P$ in the
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For $l$ a list of channels and $P$ a term, the evaluation of $P$ in the
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context $l$, $\seman{P}_l$, is defined by induction by $\seman{P}_{[]}
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context $l$, $\seman{P}_l$, is defined by induction by $\seman{P}_{[]}
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@ -834,8 +855,7 @@ games, in this order.
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\begin{definition}[valid contexts]
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\begin{definition}[valid contexts]
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The \emph{valid contexts} for a reduction $P \redarrow{x} Q$, $\validctx_{P
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The \emph{valid contexts} for a reduction $P \redarrow{x} Q$, $\validctx_{P
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\redarrow{x} Q}$, is the set of lists of channels such that, for each list
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\redarrow{x} Q}$, is the set of (ordered) lists of channels $l$ such that
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$l$,
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\begin{enumerate}[(i)]
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\begin{enumerate}[(i)]
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\item $\forall a:\chan \in \freevars(P)~\st~\bar{a} \in \freevars(P),~
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\item $\forall a:\chan \in \freevars(P)~\st~\bar{a} \in \freevars(P),~
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a \in l \text{ or } \bar{a} \in l$;
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a \in l \text{ or } \bar{a} \in l$;
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\end{definition}
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\end{definition}
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This result is mostly a consequence of the following lemma:
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\begin{lemma}
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For all $a: \chan$, $P, Q, R : \proc$, the following properties hold:
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\begin{enumerate}[(i)]
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\item $\newch{a} (P \parallel Q) = \left(\newch{a} P\right) \parallel
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Q$ when $a,\bar{a} \not\in \freevars{Q}$;
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\item $\newch{a} (P \parallel Q) = P \parallel \left(\newch{a}
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Q\right)$ when $a,\bar{a} \not\in \freevars{P}$;
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\item $\newch{a} \left(P\cdot Q\right) = \left(\newch{a} P\right) \cdot
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Q$ when $a,\bar{a} \not\in \freevars{Q}$;
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\item $\seman{\parallel}_l$ is associative, that is, for all $l$,
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$\seman{(A \parallel B) \parallel C}_l = \seman{A \parallel (B
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\parallel C)}_l$.
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\end{enumerate}
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\end{lemma}
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The theorem is mostly a consequence of the following lemma:
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\begin{lemma}
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\begin{lemma}
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$\forall P \redarrow{x} Q, \forall l \in \validctx_{P \redarrow{x} Q}$,
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$\forall P \redarrow{x} Q, \forall l \in \validctx_{P \redarrow{x} Q}$,
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\begin{itemize}
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\begin{enumerate}[(i)]
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\item if $x = \tau$, then $\seman{P}_l = \seman{Q}_l$;
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\item if $x = \tau$, then $\seman{P}_l = \seman{Q}_l$;
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\item if $x = a: \chan$, then \qtodo{what?}
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\item if $x = a: \chan$, then $\seman{P}_l = \seman{a \cdot Q}_l$;
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\end{itemize}
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\item if $x = \tau_a$ ($a : \chan$), then $\seman{P}_{a::l} =
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\seman{Q}_l$.
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\end{enumerate}
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\end{lemma}
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\end{lemma}
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\begin{proof}
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We prove this by induction over the rules of the operational semantics of
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\llccs. Most of the cases are straightforward, thus, we will only sketch
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the proof for a few of those cases.
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\begin{itemize}
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\item The basic rules (for $\parallel$, $\cdot$, \ldots) are working
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thanks to the previous lemma.
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\item $\dfrac{P \redarrow{a} P'\quad Q \redarrow{\bar{a}} Q'}
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{P \parallel Q \redarrow{\tau_a} P' \parallel Q'}$:
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for all $l$, by (ii), $\seman{P}_l = \seman{a \cdot P'}_l$ and
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$\seman{Q} = \seman{\bar{a} \cdot Q'}$, thus $\seman{(\nu a)(P
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\parallel Q)}_l = \seman{\newch{a}(a \cdot P' \parallel \bar{a}
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\cdot Q')}$ (inline replacement of terms, permitted by the previous
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lemma), thus $\seman{\newch{a} (P \parallel Q)}_l = \seman{P'
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\parallel Q'}_l$.
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\item $\dfrac{P \redarrow{\tau_c} Q}{\newch{a} P \redarrow{\tau} Q} (c
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\in \set{a,\bar{a}})$ clearly works thanks to (iii).
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\end{itemize}
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\end{proof}
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\begin{proof}[Proof: theorem]
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\emph{Forwards implication}: $\left(P \Downarrow\right) \implies
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\left(\seman{P} = \seman{1}\right)$.
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Proof by induction over the derivation of $P \redarrow{\tau}^\ast 1$, by
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iterating the previous lemma.
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\emph{Backwards implication}: $\left(\seman{P} = \seman{1}\right) \implies
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\left(P \Downarrow\right)$.
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We prove its contrapositive judgement, $P \neq 1\,\&\,\seman{P} =
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\seman{1} \implies \exists Q\,:\,P \redarrow{\tau} Q$ by induction over the
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syntax of \linccs{} (\wlogen, we can assume that $P
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\not\longrightarrow_\beta$, thus the terms are in \linccs). \todo{?}
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\end{proof}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\section{Implementation of deterministic concurrent games}
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\section{Implementation of deterministic concurrent games}
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\hfill\href{https://github.com/tobast/cam-strategies/}
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\hfill\href{https://tobast.fr/l3/demo.html}
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{\includegraphics[height=2em]{tryme32.png}~\raisebox{0.5em}{Try online}}
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\qquad \href{https://github.com/tobast/cam-strategies/}
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{\includegraphics[height=2em]{github32.png}~\raisebox{0.5em}{Github
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{\includegraphics[height=2em]{github32.png}~\raisebox{0.5em}{Github
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repository}}
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repository}}
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\vspace{1em}
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\vspace{1em}
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The first part of my internship mostly consisted --- apart from understanding
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One of the objectives of my internship was also to implement the operations on
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the bibliography and the underlying concepts --- in the implementation of
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games and strategies described in §\ref{sssec:es_operations}, and to use them
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operations on \emph{deterministic} concurrent games, that is, concurrent games
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to provide a convenient Dot representation of the operational semantics of
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as event structures without conflicts. The work had to be done from scratch, as
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\llccs{} described in §\ref{ssec:llccs_interp}.
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no one implemented this before.
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This implementation aims to provide
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\begin{enumerate}[(i)]
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\item a --- more or less --- convenient way to input games/strategies;
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\item basic operations over those games and strategies: parallel
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composition, pullback, interaction, composition, copycat, \ldots;
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\item a clean display as a Dot graph.
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\end{enumerate}
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\subsection{Structures}
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\subsection{Structures}
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@ -889,127 +953,69 @@ represented as a DAG in memory. The actual representation that was chosen is a
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set of nodes, each containing (as well as a few other information) a list of
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set of nodes, each containing (as well as a few other information) a list of
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incoming and outgoing edges.
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incoming and outgoing edges.
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A \emph{game} is, in the literature, a simple ESP\@. However, to provide
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\subsection{Modelling \llccs}
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interaction and composition operations, we have to somehow keep track of the
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parallel compositions that were used to reach this game: if the user wants to
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compose strategies on $A \strParallel B$ and $B \strParallel C$, we have to
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remember that those games were indeed parallel compositions of the right games,
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and not just a set where the events from, \eg, $A$ and $B$ are mixed. \\
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This information is kept in a tree, whose leaves are the base games that were
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put in parallel, and whose nodes represent a parallel composition operation.
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Finally, a \emph{strategy} consists in a game and an ESP (the strategy itself),
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The modelling of \llccs{} required to implement a lexer/parser for the
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plus a map from the nodes of the strategy to the nodes of the game. This
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language and a function transforming \llccs{} terms into strategies, as well as
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structure is really close to the mathematical definition of a strategy, and yet
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a rendering backend, displaying a strategy as a Dot graph. This could then just
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is only a lesser loss in efficiency.
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be plugged into an HTML/Javascript frontend using \texttt{js\_of\_ocaml}; this
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frontend is linked above in the document.
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\subsection{Operations}
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The major difficulty came from the necessity to massively reorder the sub-terms
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of the strategies on the go: indeed, in order to know how to compose two
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strategies $\sigma$ and $\tau$, the implementation keeps track of the parallel
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compositions that were taken to get both strategies. For instance, if $\sigma$
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was obtained by putting in parallel strategies so that the game is $(A
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\parallel B^\perp) \parallel C^\perp$, and $\tau$ was obtained the same way,
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reaching a game $(B \parallel C) \parallel D$, the implementation would refuse
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to compute $\tau \strComp \sigma$, because it would try to match games
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$C^\perp$ and $(B \parallel C)$.
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The usual operations on games and strategies, namely \emph{parallel
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The theoretical construction extensively uses the associativity (up to
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composition}, \emph{pullback}, \emph{interaction} and \emph{composition} are
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isomorphism) of $\parallel$, but in the code, each use of the associativity
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implemented in a very modular way: each operation is implemented in a functor,
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must be explicit, leading to a large amount of code.
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whose arguments are the other operations it makes use of, each coming with its
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signature. Thus, one can simply \lstocaml{open Operations.Canonical} to use the
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canonical implementation, or define its own implementation, build it into an
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\lstocaml{Operations} module (which has only a few lines of code) and then
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open it. This is totally transparent to the user, who can use the same infix
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operators.
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\subsubsection{Parallel composition}
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While the usual construction (\cite{castellan2016concurrent}) involves defining
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the events of $A \strParallel B$ as ${\set{0} \times A} \cup {\set{1}
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\times B}$, the parallel composition of two strategies is here simply
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represented as the union of both event structures, while altering the
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composition tree.
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\subsubsection{Pullback}
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Given two strategies on the same game, the pullback operation attempts to
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extract a ``common part'' of those two strategies. Intuitively, the pullback of
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two strategies is ``what happens'' if those two strategies play together.
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The approach that was implemented (and that is used as
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\lstocaml{Pullback.Canonical}) is a \emph{bottom-up} approach: iteratively, the
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algorithm looks for an event that has no dependencies in both strategies, adds
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it and removes the satisfied dependencies.\\
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One could also imagine a \emph{top-bottom} approach, where the algorithm starts
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working on the merged events of both strategies, then looks for causal loops
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and removes every event involved.
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\subsubsection{Interaction}
|
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|
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Once the previous operations are implemented, \emph{interaction} is easily
|
|
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defined as in the literature (\cite{castellan2016concurrent}) and nearly is a
|
|
||||||
one-liner.
|
|
||||||
|
|
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\subsubsection{Composition}
|
|
||||||
|
|
||||||
Composition is also quite easy to implement, given the previous operations. The
|
|
||||||
only difficulty is that hiding the central part means computing the new
|
|
||||||
$\edgeArrow$ relation (that is the transitive reduction of $\leq$), which means
|
|
||||||
computing the transitive closure of the interaction, hiding the central part
|
|
||||||
and then computing the transitive reduction of the DAG\@.
|
|
||||||
|
|
||||||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||||||
\section{Linear lambda-calculus}
|
\section*{Conclusion}
|
||||||
|
|
||||||
Concurrent games can be used as a model of lambda-calculus. To keep the
|
During this internship, I have established deterministic game semantics for a
|
||||||
strategies finite and to avoid non-determinism, and to have a somehow easier
|
simple concurrent language. Although the language is fairly simple, it should
|
||||||
approach, one can use concurrent games as a model of \emph{linear}
|
not be too hard to lift it to a language closer to real-world programming
|
||||||
lambda-calculus, that is, a variant of the simply-typed lambda-calculus where
|
languages, through the inclusion of the imperative primitives found in the
|
||||||
each variable in the environment can and must be used exactly once.
|
literature.
|
||||||
|
|
||||||
\subsection{Definition}
|
I also explored the possibility to reach a full-abstraction result, but
|
||||||
|
abandoned this path by lack of time. Indeed, this would have required either to
|
||||||
|
modify \llccs{} or to restrict the authorized strategies, because of the
|
||||||
|
following legal strategy, which cannot be expressed as the semantics of a term
|
||||||
|
in \llccs{}:
|
||||||
|
\[ \begin{tikzpicture}
|
||||||
|
\node (0P) at (2,2) {$\proc$};
|
||||||
|
\node (0C) at (0,2) {$\chan$};
|
||||||
|
\node (1) at (0,1) [draw=red, ellipse] {call};
|
||||||
|
\node (2) at (0,0) [draw=green, ellipse] {done};
|
||||||
|
\node (3) at (2,1) [draw=red, ellipse] {call};
|
||||||
|
\node (4) at (2,0) [draw=green, ellipse] {done};
|
||||||
|
\path[->]
|
||||||
|
(1) edge (2)
|
||||||
|
(3) edge (4)
|
||||||
|
edge (1);
|
||||||
|
\end{tikzpicture}
|
||||||
|
\]
|
||||||
|
|
||||||
The linear lambda calculus we use has the same syntax as the usual simply-typed
|
This strategy behaves like a ``forget'' strategy: its effect is to call one end
|
||||||
lambda calculus with type annotations:
|
of a channel, and then to resume the execution of the term without waiting for
|
||||||
|
the other end to be called. If we integrate this operator to the language as
|
||||||
\medskip
|
$(f\,a)$ for any channel $a$, this construction can discriminate terms that
|
||||||
|
would not have been discriminated before. For instance $\lambda x^{\chan
|
||||||
Only the following typing rules differ from the usual rules and are worth
|
\linarrow \proc} \cdot \newch{a} ((x a) \cdot \bar{a} \cdot 1)$ and $\lambda
|
||||||
noting:
|
x^{\chan \linarrow \proc} \cdot \newch{a} ((x a) \cdot \bar{a} \cdot 0)$ can
|
||||||
|
be discriminated by the context $\calC[X] = X (\lambda a^\chan \cdot (f a))$.
|
||||||
|
|
||||||
Note that in~(\ref{typ:llam:ax}), the left part is $x : A$ and not (as usual)
|
|
||||||
$\Gamma, x:A$. This ensures that each defined variable present in the
|
|
||||||
environment will be used. The implicit condition $\Gamma \cap \Delta =
|
|
||||||
\emptyset$ in~(\ref{typ:llam:app}) ensures that each defined variable will be
|
|
||||||
used at most once.
|
|
||||||
|
|
||||||
The terms can then be interpreted as strategies through the $\seman{\cdot}$
|
|
||||||
operator defined as in figure~\ref{fig:llam:interp}. The $\ominus$ stands for a
|
|
||||||
game whose only event is negative. The interpretation operator maps a type to a
|
|
||||||
game and a term to a strategy playing on the game associated to its type, put
|
|
||||||
in parallel with its environment's dual. For instance, if $x:A \vdash t:B$, the
|
|
||||||
strategy $\seman{t}$ will play on $\seman{A}^\perp \parallel \seman{B}$.
|
|
||||||
|
|
||||||
This explains the definition of $\seman{\lambda x^A \cdot t}$: $\seman{t}$
|
|
||||||
plays on $\seman{A}^\perp \parallel \seman{B}$, same as $\seman{\lambda x^A
|
|
||||||
\cdot t}$.
|
|
||||||
|
|
||||||
\subsection{Implementation}
|
|
||||||
|
|
||||||
The implementation, which was supposed to be fairly simple, turned out to be
|
|
||||||
not as straightforward as expected due to technical details: while, in the
|
|
||||||
theory, the parallel composition is obviously associative and commutative (up
|
|
||||||
to isomorphism), and thus used as such when dealing with environment and typing
|
|
||||||
rules, things get a bit harder in practice when one is supposed to provide the
|
|
||||||
exact strategy.
|
|
||||||
|
|
||||||
For instance, the above rule~(\ref{typ:llam:app}) states that the resulting
|
|
||||||
environment is $\Gamma,\Delta$, while doing so in the actual implementation
|
|
||||||
(that is, simply considering $\seman{\Gamma} \strParallel \seman{\Delta}$)
|
|
||||||
turns out to be a nightmare: it is better to keep the environment ordered by
|
|
||||||
the variables introduction order, thus intertwining $\Gamma$ and $\Delta$.
|
|
||||||
|
|
||||||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||||||
\section{Linear \lccs}
|
|
||||||
|
|
||||||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
|
||||||
|
|
||||||
\bibliography{biblio}
|
\bibliography{biblio}
|
||||||
\bibliographystyle{ieeetr}
|
\bibliographystyle{alpha}
|
||||||
|
|
||||||
\end{document}
|
\end{document}
|
||||||
|
|
||||||
|
|
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tryme32.png
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tryme32.png
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