Distributed Agents to Retrieve Web Intelligence
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You have accessed one of the most important sections of Darwin-FIRST. Darwin is a network of i-Websites, each one of them driven by FIRST. Darwin nodes serve different market of users with different pattern behaviors and consequently different PAG's.

PAG's stands for Program Affinity Groups, meaning affinity through a "Users' Jargon" built from their interactions with the Cognitive Object (Map) clone hosted in the i-Website. Users communicate with FIRST via sessions minutely detailed by a family of "usertrackbot" that register their "speech atom messages", basically "keywords", "hyperlinks", and navigation "instances", as you may see in our "Darwin-FIRST Tour/How FIRST materializes its Learning" Page.

From these tracking sessions, a family of "combinbot", combinatorial agents, determines within each session all possible "threads" of keywords (hyperlinks are considered special cases of keywords) and instances. These type of agents detect, account and classify these threads as potential keywords of a set of "Users Thesaurus". Periodically, based on statistics and pre established syntax's and semantic rules, the agents suggest some threads to the Chief Editor who is the only person authorized to assign, in its turn, some of them to new PAG's. Once created, all registered members that used the thread significantly are noticed about the PAG creation and invited to join an autonomous and private Forum for this specific thread within Darwin-FIRST "premises", to interchange experiences. From this moment onward, each time the family of "combinbot" agents detect threads that have PAG's assigned, a prompt appears inviting users to join them.

Intag's experience, the owner of Darwin-FIRST, assures that threads of three or more keywords/instances in man-machine interactions, backed up by a relatively high interactive presence strongly suggest some common pattern behavior, no matter neither the order of keywords nor the instant/place of their occurrence within the thread and within a session.

Any PAG has the following data:

FIRST Clone Number
Node Number
Internal Node ID Number: from 0001 through 9999
Thread: [k1, k2, .., kn], list of keywords/instances
Topic: initially suggested by the Chief Editor; members are enabled to change it
Forum: Hyperlink to its corresponding Forum
Date of Creation
Traffic at Creation: thread traffic
Actual Traffic: thread traffic
Membership: amount of actual members
Entries: number of active participations
Date of last entry:
Moderator: E-mail if any

List of Available PAG's

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