BerkeleyAI · FantasqueX · Sep 12, 2026
diff --git a/games/general.md b/games/general.md
@@ -13,4 +13,4 @@ Not all games are zero-sum. Indeed, different agents may have have distinct task
 
 <img src="{{ site.baseurl }}/assets/images/multi-agent-utility.png" alt="Multi-Agent Utility" />
 
-The red, green, and blue nodes correspond to three separate agents, who maximize the red, green, and blue utilities respectively out of the possible options in their respective layers. Working through this example ultimately yields the utility tuple $(5, 2, 5)$ at the top of the tree. General games with multi-agent utilities are a prime example of the rise of behavior through computation, as such setups invoke cooperation since the utility selected at the root of the tree tends to yield a reasonable utility for all participating agents.
+The red, green, and blue nodes correspond to three separate agents, who maximize the red, green, and blue utilities respectively out of the possible options in their respective layers. Working through this example ultimately yields the utility tuple $$(5, 2, 5)$$ at the top of the tree. General games with multi-agent utilities are a prime example of the rise of behavior through computation, as such setups invoke cooperation since the utility selected at the root of the tree tends to yield a reasonable utility for all participating agents.
Original file line number	Diff line number	Diff line change
Expand Up		@@ -13,4 +13,4 @@ Not all games are zero-sum. Indeed, different agents may have have distinct task

		<img src="{{ site.baseurl }}/assets/images/multi-agent-utility.png" alt="Multi-Agent Utility" />

		The red, green, and blue nodes correspond to three separate agents, who maximize the red, green, and blue utilities respectively out of the possible options in their respective layers. Working through this example ultimately yields the utility tuple $(5, 2, 5)$ at the top of the tree. General games with multi-agent utilities are a prime example of the rise of behavior through computation, as such setups invoke cooperation since the utility selected at the root of the tree tends to yield a reasonable utility for all participating agents.
		The red, green, and blue nodes correspond to three separate agents, who maximize the red, green, and blue utilities respectively out of the possible options in their respective layers. Working through this example ultimately yields the utility tuple $$(5, 2, 5)$$ at the top of the tree. General games with multi-agent utilities are a prime example of the rise of behavior through computation, as such setups invoke cooperation since the utility selected at the root of the tree tends to yield a reasonable utility for all participating agents.