Fig. 12
From: Evolution of cooperation guided by the coexistence of imitation learning and reinforcement learning
Snapshots of the population states for three games in a \(100 \times 100\) square lattice network. From top to bottom, (a–d) denote the CoG with \(a_{11}=3\), \(a_{12}=0\), \(a_{21}=0\), \(a_{22}=2\); (e–h) show the CG with \(a_{11}=2\), \(a_{12}=0\), \(a_{21}=4\), \(a_{22}=-1\); (i–l) represent the PDG with \(a_{11}=-1\), \(a_{12}=-10\), \(a_{21}=0\), \(a_{22}=-8\). From left to right, the population states of these games are represented with \(\alpha =0\), \(\alpha =0.3\), \(\alpha =0.7\) and \(\alpha =1\), respectively. Cooperators are depicted in red and defectors in green.
