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of mind in any kind of development, even if the business component is not directly represented in tools, development process, and execution environment, but rather is simply considered a logical concept . The main objectives of the business component approach are the following : Limiting complexity and development costs by enabling autonomous development of large-grained software units-that is, distributed components, business components, and system-level components Enabling and supporting high levels of reuse at all phases of the development cycle (not only at build-time) and through all the architectural viewpoints and distribution tiers

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Figure 12.12: Schematic of the successive interference cancellation (SIC) receiver for K users. The users' signals have been ranked, where user'S signal was received at the highest power, 1 while user K's signal at the lowest power. the order of ranking, the data estimates In of each user are obtained and the received signal of each user is reconstructed and cancelled

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arguments in favour of an agent-based solution are that agents provide a software model that is ideally suited to the devolved nature of the proposed business management system Thus, the project's goal was to devise an agent framework that could be used to build agents for business process management Note that ADEPT was neither conceived nor implemented as a general-purpose agent framework Rather than reimplementing communications from first principles, ADEPT was built on top of a commercial CORBA platform (OMG, 2001) This platform provided the basis of handling distribution and heterogeneity in the ADEPT system ADEPT agents also required the ability to undertake context-dependent reasoning and so a widely used expert system shell was incorporated into the agent archtecture for t h s purpose.

The reade r should note that the chamcteri stic equation is the denominator of th e tran sfer functi on H(s ), and th e roots of thi s equati on, whi ch are the poles of the network , de te rmine the form of the network's natural response. A co nvenient method for di splaying the network 's poles and zeros in graphical form is the use of a pole-zero plot. A pole-zero plot of a functi on can be accomp lished using what is co mmonl y called the comp/e.x or s-p/alle. In the comp lex plane the abscissa is u and th e ordinate is jw. Ze ros are represe nted by O's, and poles are represented by X's. Although we are co nce rned onl y with the tinite poles and zeros specitied by the network or response fun ction, we should point out that a rat ional function must have the same number of poles and zeros. Therefore, if 11 > Ill , there are II - 111 zeros at the poi nt at infinity, and if II < 111 , th ere are 111 - II poles at th e poillt at infinity. A systems e ngineer ca n te ll a lot abou t the operation of a network or syste m by si mply exa mi ning its pole ze ro plot. In order to corre late the natural response of a netwo rk to an init ial co nditi on wi th the network 's pole locat ions, we have illustrated in Fig. 14.8 the correspondence for all three

SCml ,m21 + SMC(Elem,i, j ,m,MESI.T,MEMI.T)

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(22.18)

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