usually in the form of extremely context sensitive
parameter definitions. Consider the set of applications that one might
routinely utilize on one’s personal computer; a word processing system, a
presentation tool, an e-mail tool, a calendar system, a Web browser, perhaps a
spreadsheet application and sometimes a variety of databases containing context
sensitive information. Even when they’re obtained from a single vendor, each of
these applications typically has control facilities that are unique. If
obtained from different vendors, the likelihood that they will utilize similar
control mappings to the human sensori-motor system is minimal. Rarely do the
controlling parameter sets have well thought-out grammars or semantic
definitions. The result is that interactions within different application
infrastructures make use of these highly specialized languages, and this use
tends to limit, if not completely prohibit the systematic negotiation and
application of effective policy to be applied among all parties to a
transaction. Moreover, these ad hoc mechanisms provide little coherence among
different application infrastructures and rarely facilitate effective semantic
transfer between people and the computers they interact with, including their
identification tokens. So, a central need for a comprehensive policy
infrastructure is a reference model that defines the semantics to be expressed
by a commonly understood language. As we discussed in some detail in Chapter 8,
cognition languages can express sensori-motor metaphors in such a fashion as to
allow computers to reason about them. They are based on a comprehensive
semantic data model that defines the elements of the metaphoric information in
question. This model is an ontology, the representation that we discussed in
Chapters 5 and 6.
The most wide
ranging activity engaged in the construction of a general-purpose ontology is
that of the Semantic Web. This a
derivative of the World Wide Web proposed by Tim Berners-Lee as part of his
early architectural work on the Web itself. While we will attempt to provide
the right flavor of how a formal model of a social ecosystem looks like, we
will again emphasize that we are simplifying drastically the formalism of the
description for reasons of readability. Also, we need to say that while we are
comfortable in the simplifications regarding the formalization itself, as it is
within our domain of core competence, we want to consider the examples as more
tentative, as the social evaluation of political system is less of our
specialty, and we’ll need to leave to others the tasks of confirming or
infirming our analysis. In order to minimize our chances of error though, we
have followed very closely the model of Montesquieu in The Spirit of The Laws, in particular Books XXIV and XXV on the
rapport of laws and religion. Our point here is to highlight the digital
representation of social ecosystems; we certainly hope that the model we are
presenting is strong enough in its general line so that further elaboration
will bring even more strength to the presentation.
The top
architecture looks as follows:
<social_ecosystem>
<trust_infrastructure/>
<policy_infrastructure/>
</social_ecosystem>
For example, we
can choose to describe Islam’s theocratic state organizations as:
<social_ecosystem>
<name> Islam </name>
<trust_infrastructure> Sharia
</trust_infrastructure>
<policy_infrastructure> Shura
</policy_infrastructure>
</social_ecosystem>
The United States systems of government would look first
as:
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