PyGAAMAS: minor improvment

README.md

@@ -167,15 +167,16 @@ preferences but have more difficulty generating individual actions than
 algorithmic strategies. In contrast, `DeepSeek-R1` does not generate  
 valid strategies and performs poorly when generating specific actions.
 
-## Rationality
-
-An autonomous agent is rational if it chooses the optimal action based on its
-beliefs. This agent satisfies second-order rationality if it is rational and
-believes that other agents are rational. In other words, a second-order rational
-agent does not only consider the best choice for itself but also anticipates how
-others make their decisions. Experimental game theory studies show that 93 % of
-human subjects are rational, while 71 % exhibit second-order
-rationality.
+## Strategic Rationality
+
+An autonomous agent act strategically, considering not only its own preferences
+but also the potential actions and preferences of others. It is strategical
+rational if it chooses the optimal action based on its beliefs. This agent
+satisfies second-order rationality if it is rational and believes that other
+agents are rational. In other words, a second-order rational agent does not only
+consider the best choice for itself but also anticipates how others make their
+decisions. Experimental game theory studies show that 93 % of human subjects are
+rational, while 71 % exhibit second-order rationality.
 
 Forsythe, R., Horowitz, J.L., Savin, N.E., Sefton, M.: *Fairness in Simple Bar-
 gaining Experiments.* Games and Economic Behavior 6(3), 347–369 (1994),