Well, what exactly do you want to do with them? The specific application
can help figure out what to change.
But, as far as I can tell, they are just an optimization for checking
evidence against a ruleset. And, according to wikipedia, there are more
modern ways to do that. I would think that getting the ruleset correct
would be more important than optimizing it (at least if you don't have
tens of thousands of rules to begin with) ... for AI.
On 1/8/2013 6:11 PM, Piaget Modeler wrote:
I've been reading some PhD theses about Rete and I want to bend the
structures and algorithms a bit and was hoping
for feedback, in particular on which structures I could modify. Was
hoping for a conversation with a little more depth.
Cheers,
~ PM.
------------------------------------------------------------------------
Date: Tue, 8 Jan 2013 17:16:31 -0600
From: [email protected]
To: [email protected]
Subject: Re: [agi] Rete structures and algorithms
I've never used retes so I'm just going off of what I read at
Wikipedia and DrDobbs.
It seems like the Alpha nodes are just checking for individual
conditions (e.g. (a<b), or (c = 1)),
the connection to the join nodes could be represented as some type of
list (linked list, or list of
Keys in a database or dictionary) for each alpha node, and the same
for the connection from the
join nodes to the beta nodes.
On 1/8/2013 11:46 AM, Piaget Modeler wrote:
Does anyone here understand the Rete algorithm and data structures
very well?
If so, kindly answer these questions:
1. What is the process by which alpha memories are formed?
2. How exactly are alpha memories linked to join nodes, and join
nodes linked to beta memories.
Thanks in advance for the simple explanation. I'm sure I'll have
follow up questions.
~PM.
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