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n uIngoI ((s)anTVA-XVW 'Q)NIN-op (s)sHossaoons u!s 'D o] 0o→n (707s)xLILO uIn3oI uoq (707S)ISHL-IVNINHL J! anjoa fippign D suIngoI (1D)s)anIVA-NIW uonounJ n umjoI ((s)anIVA-NIWN 'Q)XVW-op (ans)sHossaoons u!s 'D o] 00-→ (107s)xLITILO uIngox uoy?(7DS)ISHL-IVNIWHL J! angoa fippgn D suingoI(ans)anIVA-XVW uoqoun] ((an0)s ')LInSad)nIVA-NIW BuIzIwIxew (ns)SNOILOV u!D ay1 umngaI awe3 ul anens quauno'ag0gs :sandur uo2goD uD sumngoI (Ds)NOISIO(-XVWINIW uoIqoung wqo8e xewu!N algorithm Minimax action an returns ) state ( Minimax-Decision function game in state current , state : inputs )) state , a( t Resul ( alue Min-V maximizing ) state ( ctions A in a the return value utility a returns ) state ( alue Max-V function ) state ( Utility return then ) state ( Terminal-Test if −∞ ←v )) s( alue Min-V , v( Max ←v do ) state ( Successors in s a, for v return value utility a returns ) state ( alue Min-V function ) state ( Utility return then ) state ( Terminal-Test if ∞ ←v )) s( alue Max-V , v( Min ←v do ) state ( Successors in s a, for v return 7 6 Chapter
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