Epilogue
The FIRST Desktop as the brain cortex of Darwin nodes
How Darwin Nets operate


Transactions Section
The Operative Brain

In the upper section above are all buttons to see and to control all the man-machine interactions. The map content, basically i-URL’s, the Thesaurus (TH), the Logical Tree (LT) and the Up and Downs content history, including TH and LT. In the upper section below are all buttons to see and to control Users’ Tracking Login (Tracking), the keywords and internal links requested by users (k’s), all the users’ navigation instances (instances), and the all the interactions history (History). In the middle is highlighted the match making process. We emphasize that this process could be considered universal if instead of i-URL’s, TH and LT we talk of Objects of a Catalog, Features and Categories respectively.

This yellow band behaves as an i-membrane that enables the open and free traffic of messages in both senses, making a reality the use of the Web space as a network of intelli-in/intelli-out cells.







The Intelligent Section
The “Brain Cortex” of FIRST

In the lower section is mapped the “brain cortex” of First, the Users’ Thesaurus region where users’ inquiries patterns and users’ navigation instances patterns are detected and classified for ulterior behavior and marketing research. Elementary patterns are like “atoms” aggregates, being the “atoms” keywords and elementary instances. In this section also are mapped the agents and the Chief Editor Decision board.

In the upper part of this section are the accesses to the n-atoms Thesaurus (nk-TH) and to the n-instances Thesaurus (ni-TH). Our approach is that users “talk” with the site in terms of nk aggregates of “understandable speech atoms”, that is keywords that belong to the site Thesaurus TH. The same would happen with instances, the site have a collection of possible instances but ignore how they are going to be used. On the users’ side users navigate at will, employing something like an “instances language” to be identified and statistical measured in the ni-TH. Once determined both “real time” users’ Thesaurus, agents, either with or without the Chief Editor concourse, are enable to suggest users the convenience of joining Potential Affinity Groups, PAG’s. Members of those groups address to First using the same aggregates of keywords and we may argue that probable they have the same level and specificity of curiosity concerning the use of the site. As you may see we differentiate here the two kinds of PAG’s, nk-PAG’s and ni-PAG’s respectively. The Chief Editor is enabled to interrupt the process at any moment to see and to check how the process is going on.

In the middle part we may see the yellow agents, the four main categories: a) procurebots, responsible of data procurement; b) coopbots, which take care of the transfer of data among the nodes of Darwin nets; c) wellcomebots, that emulate Customer Service agents in the real life;, and d) retrievebots, which have the task of general content maintenance. These agents could be inspected, updated, modified and edited in “real time” mode by the Chief Editor. This facility enables him/her full agents debugging to optimize their performance stepwise. This is a crucial facility when dealing with unknown media. In those cases the agents are built analytically redundant with parametric functions in order to cover the whole spectrum of mission possibilities to be customized for each market via the Desktop.

This trail and error process of customizing is depicted by the two arrows between agents and the “evolution interface”. This interface is the proprietary Chief Editor domain where from he/she manages the Editors’ Staff, the keywords’ stacking, and the in-out boxes. In those boxes, the Chief Editor communicates with FIRST, its agents and external sources about the units of Website content: i-URL’s, virtual objects, paths, hyperlinks, etc.


The Utilities Section

Sigma’s: This section facilitates the Chief Editor Administration and Management tasks, and the Staff of Editors compiling and editing tasks. Sigma yellow button access the classic statistic processes from servers side, mainly i-URL’s (objects of Catalogs), keywords, and subjects frequencies distributions. Sigma navy blue button access the classic statistic processes from users side, mainly about pairs (keywords, subjects), hyperlinks, and navigation instances, frequencies distributions.

Foldoc: For each Major Subject namely disciplines of the Human Knowledge, when FIRST drives Human Knowledge Maps, a Technical Dictionary is provided. For our prototype ICT Map, Information, Computing and Telecommunications Map, Foldoc Dictionary is provided.

M-W/RAE: For each language that FIRST operates a dictionary is provided, and for ICT Map the Merrian Webster Dictionary and Real Academia Española, for English and Spanish respectively are provided.

k-core: For each main branch of any Major Subjects there is a privileged k-core set. These sets are formed by all keywords that only belong to one of them, in some extent identifying the subject. The Chief Editor may use them to adjust and tune-up agents.

Net: As in LAN and WAN networks, we may have in Darwin networks several levels of Chief Editors. By clicking on this button the Chief Editors access to the network supervision instances that corresponds to his/her level.

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