Digital Government: Principles and Best Practices by Alexei Pavlichev, Visit Amazon's G. David Garson Page,

By Alexei Pavlichev, Visit Amazon's G. David Garson Page, search results, Learn about Author Central, G. David Garson,

Textual content offers a clean standpoint on e-government idea and the problems relating to imposing e-government projects. For teachers and practitioners who're searching for recommendations to e-government projects being applied by way of their organizations. Hardcover, softcover to be had. DLC: net in public administration--United States.

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The interaction protocol is executed by every receiving author until the proposal is eventually accepted or replaced with a further elaborated proposal. , competitive, negotiating or cooperative). Although the authors’ behavior is an asynchronous process, the agents’ interaction protocol helps to synchronize their operations. Objectives These are the educational objectives that define the preference relation used to evaluate proposals about the ToC of the course: 1. 2. 3. , XML-generated HTML) web applications Ability to program server-side web applications Ability to program XML data exchange applications The degree of fulfillment of educational objectives is modeled as a threecomponent vector x = (x1,x2,x3), with xk ∈ I=[0,1] for k=1,2,3.

In order to measure the relevance of a proposal, a relevance function can be defined. The relevance function u(k) of a proposal k in a mart returns a numeric value, dependent on attributes of k, in such a way that, if ki ≠ k, then u(ki) ≠ u(kj). A way to express the relevance is by means of preference relationships, where a proposal k1 is preferred to another k2 in a mart, denoted as k1 > k2, if u(k1) > u(k2). Interaction Protocol An agent Ai may participate in several interaction processes. Each interaction process is handled separately by initiating a new execution thread of the protocol, as depicted in the following algorithm: Algorithm: Let A M={A1, …, An} be a discrete set of agents participating in a knowledge mart M .

A KNOWLEDGE PRODUCTION ARCHITECTURE A system can be described from the following perspectives: (1) the function and structure of the system; (2) the relation and interaction of the system with its environment; and (3) the dynamics of the system. This section deals with the first two perspectives of a reference architecture used to build knowledge production systems: • • The function of our knowledge production architecture is to consolidate knowledge created in an agent-coordinated interaction environment.

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