From d56b2e38d14a3459d9642834839fc9d20f991ea8 Mon Sep 17 00:00:00 2001
From: Alex <alexandravigneron1@gmail.com>
Date: Fri, 3 Jul 2020 14:15:42 +0200
Subject: [PATCH] updates on algorithms
---
doc/report/algos.tex | 6 ++++--
1 file changed, 4 insertions(+), 2 deletions(-)
diff --git a/doc/report/algos.tex b/doc/report/algos.tex
index 6d5b312..9b03d79 100644
--- a/doc/report/algos.tex
+++ b/doc/report/algos.tex
@@ -21,6 +21,7 @@ We define $N(a_i)$ the set of neighbouring agents for $a_i$:
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+From an agent's perspective, the MGM algorithm is performed as follows:
\begin{algorithm}
\DontPrintSemicolon
@@ -54,6 +55,7 @@ supervisor ! informValue(self.val)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+While from a system-centered perpsective, it goes as such:
\begin{algorithm}
\DontPrintSemicolon
@@ -92,7 +94,7 @@ a boolean b set to true if the goal is miniMax, false if maxiMin}
(bestVal, best-$\delta$) $\mapsfrom max($results) \CommentSty{//max over $\delta$ and corresponding v}
}
\KwReturn{(bestVal, best-$\delta$)}
- \caption{Evaluate}
+ \caption{evaluate(currentLocalContext, currentValue, domainX, b)}
\label{algo:MGM-evaluate}
\end{algorithm}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
@@ -115,7 +117,7 @@ a boolean b set to true if the goal is miniMax, false if maxiMin}
advice $\mapsfrom$ false
}
\KwReturn{advice}
- \caption{Decide}
+ \caption{decide(currentOffer, bestDelta, b)}
\label{algo:MGM-decide}
\end{algorithm}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
--
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