I don't claim to understand matrices very well, but they seem like a bad solution for this. My understanding is that a matrix will require two bits per connection between two vertices (O(|V2|)). That's for all possible connections. If I have a modest size database of 20,000 facts with an average of 5 vertices per fact, that's 100,000 bits squared. That works out to around 1192 megs of data to store the matrix. If the number of edges (|E|) is extremely large, than matrices start being more attractive, but I suspect that graph representations of AI systems are going to be rather sparse (someone feel free to contradict me on this) which suggests that adjacency lists are preferable).
If I go with adjacency lists, the memory consumption is O(|V|+|E|). This will scale much better.
Join the Perlmonks Setiathome Group or just click on the the link and check out our stats.
Posts are HTML formatted. Put <p> </p> tags around your paragraphs. Put <code> </code> tags around your code and data!
Read Where should I post X? if you're not absolutely sure you're posting in the right place.
Please read these before you post! —
Posts may use any of the Perl Monks Approved HTML tags:
You may need to use entities for some characters, as follows. (Exception: Within code tags, you can put the characters literally.)
- a, abbr, b, big, blockquote, br, caption, center, col, colgroup, dd, del, div, dl, dt, em, font, h1, h2, h3, h4, h5, h6, hr, i, ins, li, ol, p, pre, readmore, small, span, spoiler, strike, strong, sub, sup, table, tbody, td, tfoot, th, thead, tr, tt, u, ul, wbr
Link using PerlMonks shortcuts! What shortcuts can I use for linking?
See Writeup Formatting Tips and other pages linked from there for more info.
| & || & |
| < || < |
| > || > |
| [ || [ |
| ] || ] ||