The pervasiveness of computational systems capable of accomplishing electronic commerce over the Internet is rapidly increasing with devices routinely embedded in many everyday household objects. This in itself causes very complex network dynamics. When these devices or associated agents, programme code etc. are liberated from a set geographical location, through laptop computers and mobile phones for example, the control of such systems more than outstrips the capability of any human or currently conceived artificial system to provide all but the simplest features of self-governance as exemplified by autonomic management. This work addresses the need for autonomic type self-governance for these systems by seeking a scalable specification of autonomic systems/networks that is applicable to m-commerce scenarios. This involves the initial realization that the representation is best accomplished through cognitive systems portrayed in mathematical logic with the power to detect and characterize system properties at run time. The system hierarchy can then be viewed through ambient representation for appropriate monitoring leading to sensing and observation overlays that can achieve grounded definitions of system signals for run time self-governance and autonomic response.
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