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.
( run in 0.560 second using v1.01-cache-2.11-cpan-39bf76dae61 )