Nanda Srimani,
an American computer scientist, in the 80s affiliated with the Computer Science Department, Southern Illinois University, Carbondale, Illinois. She holds a M.Sc. from University of Alberta[1], where she worked with Tony Marsland on a sequential tree searching algorithm PS*(k), based on the State Space Search (SSS*). PS*(k) divides each MAX node of a game tree into k partitions, which are then searched in sequence. By this means two major disadvantages of SSS*, storage demand and maintenance overhead, are significantly reduced, and yet the corresponding increase in nodes visited is not so great even in the random tree case [2].
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Nanda Srimani,
an American computer scientist, in the 80s affiliated with the Computer Science Department, Southern Illinois University, Carbondale, Illinois. She holds a M.Sc. from University of Alberta [1], where she worked with Tony Marsland on a sequential tree searching algorithm PS*(k), based on the State Space Search (SSS*). PS*(k) divides each MAX node of a game tree into k partitions, which are then searched in sequence. By this means two major disadvantages of SSS*, storage demand and maintenance overhead, are significantly reduced, and yet the corresponding increase in nodes visited is not so great even in the random tree case [2].
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[3]External Links
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