AI-Pathfinding-SMAstar

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Sets/gets the function that returns the cost of this node in the 
search space.

state_goal_p_func()

Sets/gets the function that returns 1 if the node is a goal node, or 
0 otherwise.

state_num_successors_func()

Sets/gets the function that returns the number of successors of 
this node.

state_successors_iterator()

Sets/gets the function that returns the next successor of 
this node.

state_get_data_func()

Sets/gets the function that returns a string representation 
of this node.

show_prog_func()

sets/gets the callback function for displaying the progress of the 
search. It can be an empty callback if you do not need this output.

EXPORT

None by default.

SEE ALSO

Russell, Stuart. (1992) "Efficient Memory-bounded Search Methods" Proceedings 
of the 10th European conference on Artificial intelligence, pp. 1-5

Chakrabarti, P. P., Ghose, S., Acharya, A., and de Sarkar, S. C. (1989) "Heuristic 
search in restricted memory" Artificial Intelligence Journal, 41, pp. 197-221.

AUTHOR

Matthias Beebe, <mbeebe@cpan.org>


INSTALLATION

To install this module type the following:

   perl Makefile.PL
   make
   make test
   make install

DEPENDENCIES

This module requires these other modules and libraries:

  Tree::AVL
  Test::More

COPYRIGHT AND LICENCE

Copyright (C) 2010 by Matthias Beebe

This library is free software; you can redistribute it and/or modify it 
under the same terms as Perl itself, either Perl version 5.10.0 or, at 
your option, any later version of Perl 5 you may have available.



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