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A-star <strong>Algorithm</strong><br />
‣ Use a new metric to decide<br />
which state to explore/expand<br />
‣ Define<br />
– h = heuristic score (same as<br />
always)<br />
– g = number of moves from start it<br />
took to get to current state<br />
– f = g + h<br />
‣ As we explore states and their<br />
successors, assign each state<br />
its f-score and always explore<br />
the state with lowest f-score<br />
g=1,h=2<br />
f=3<br />
g=2,h=1<br />
f=3<br />
Goal<br />
<strong>Star</strong>t<br />
g=1,h=1<br />
f=2<br />
g=2,h=1<br />
f=3<br />
g=3,h=1<br />
f=4<br />
© Copyright 2013 Brent Nash & Mark Redekopp, All Rights Reserved<br />
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