I can't say I understand precisely what you tested, but I can tell you that performance should have little to no dependence on fact ID numbers. Jess's memory areas are densely indexed, and there are no circumstances under which a linear search of all of memory is done.


On Feb 3, 2010, at 4:04 AM, Гильман Катя wrote:

Hello,

I have a question about the Rete in Jess,
does the ordering of facts in working memory affects the system performance? What i'm trying to understand, if e.g. i have 100 instances of the same concept loaded in working memory, will it affect much the performance if the matching rule satisfies to the conept with order 2 or concept with order 90, and what if i have 1000 instead ? In this case more concpets should be checked? I feel that it is more related to alpha memory implementation of the algorithm, however if it is hashed then it should not affect much, or am i wrong?

I did some measurements where i assert some amount of concepts and measuring the response time it takes to apply the set of rules on them, for instance, firstly i set 50 concepts and measuring the time of 20 of them (rule is applicable only to the specific one, so search has to be done), so for each measured concpet i have response time. Then i repeat the procedure for more and more concepts. In CLIPS it is noticable that response time increases when i have more concepts and order of asserted facts is higher. But for Jess situation is lilttle bit different, very first measurement time is very high, comparing with others within measurement set, and then with higher ordering it gets smaller. And I don't understand why? I made measurements after everything was asserted to working memory, so it is not the time of Rete network construction.

Hopefully you can understand from this writing what i mean

Thank you very much

Best regards,
Kate


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