Spatial evolutionary games are studied with myopic players whose payoff
interest, as a personal character, is tuned from selfishness to other-regarding
preference via fraternity. The players are located on a square lattice and
collect income from symmetric two-person two-strategy (called cooperation and
defection) games with their nearest neighbors. During the elementary steps of
evolution a randomly chosen player modifies her strategy in order to maximize
stochastically her utility function composed from her own and the co-players'
income with weight factors 1−Q and Q. These models are studied within a wide
range of payoff parameters using Monte Carlo simulations for noisy strategy
updates and by spatial stability analysis in the low noise limit. For fraternal
players (Q=1/2) the system evolves into ordered arrangements of strategies in
the low noise limit in a way providing optimum payoff for the whole society.
Dominance of defectors, representing the "tragedy of the commons", is found
within the regions of prisoner's dilemma and stag hunt game for selfish players
(Q=0). Due to the symmetry in the effective utility function the system
exhibits similar behavior even for Q=1 that can be interpreted as the "lovers'
dilemma".Comment: 7 two-column pages, 8 figures; accepted for publication in J. Theor.
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