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Plasma System's development history

The theory for the foundation of the Plasma Database was developed as an information representation system for global networks specified in 1985 by Hector McNeill1 while working as a Senior Scientific Officer at the Information Technology & Telecommunications Task Force (ITTTF) at the European Commission in Brussels. The basic theory that has evolved from this "Locational-State Reference Base" (LSRB) is Locational-State Theory.

The reason for developing the LSRB was to establish a failsafe information specification system so that requests for information over a global network could be understood and so that information sent back in response matched the requested specification exactly. The objective was to create a data exchange system that could satisfy the demand for strategic, business and government decision-making by ensuring that decision-makers had a basis for identifying exactly what information was required. The system also is was designed to make possible the translations of such requests into coherent information and data sets that satisfied the requirement. This capability has a range of important implications, one of which is an obligation or responsibility to both requesters and suppliers of information to remain confident that supply and demand are satisfied in quantitative, qualitative terms including precision and representability of data.


The Locational State Theory that has evolved can be applied to the management of target datasets for decision-making in business, political strategic planning and operations, intelligence operations and even the media. It is, to date, the most failsafe approach to tackling mis-representation arising from false information. Its due diligence structure maximises the ability of decision-makers to avoid faulty decisions. It also has the ability to introduce appropriate changes in ongoing operations when unexpected changes in conditions occur. This is why LST is being embedded into leading edge real time audit systems.

This work progressed several years before the creation of the world wide web on the Internet and it is distinct from the current work on the "Semantic Web".

Accumulogs, the forerunners of blockchain technology
In 1986, at the time of the initial develoment of Locational State Theory, Hector McNeill identified the need for cumulative memories or accumulogs to help support more rapid learning and coherent decision making to improve the performance of economic processes in projects and agriculture, industry and services.

Today this is also known as blockchain technology.

The development of accumulogs has been with SEEL since 1986 which has a dedicated Accumulog unit.

A significant development has been its integration with real time audit (RTA) within the Navatec System.
The world's first application of the Locational-State Reference Base (LSRB) was a decision-support software (Seel-Telesis) developed for DOS PCs. This was developed by Hector McNeill over the period 1987 to 1990 and part of this work was supported by the Department of Employment of the Government of the UK. One of the most significant findings arising from this work was that McNeill had originally seen LSRB as an improved reference base for biological phenomena. This was based upon its taking into account event cycles over time or "life cycle management". However, the Seel-Telesis program demonstrated the relevance of this approach to inanimate objects in terms of, for example, investment or programme life cycle management. More importantly the approach permits clear distinctions to be drawn between common explicit knowledge concerning the operation of a human-machine processes and the less obvious tacit knowledge embedded the human factor within these processes. The Seel-Telesis program was able to achieve this refined discrimination because the program used a learning curve model (SEEL_axis) making possible the separation of learning-based increments in performance from resources allocation-based increments. This represented an important breakthrough in decision analysis providing a workable knowledge base. It has significant contributions to make in economic strategies at corporate and macroeconomic policy levels. The approach enables the measurement and quantification of the contribution of tacit knowledge, learning and capability elements and can distinguish these from outcomes operational management decision-making related to resources allocation.

The outcome is a quantitative model that can trace the evolution in a system's capabilities including growth rate constraints over time. The Plasma data base was developed as a means of handling the required data analysis but the so-called "fusion plasma seek operation" (FPSO) was beyond the capacity of state of the art hard drives that invariably suffered mechanical failures even with the then currently available caches.

As a result the Plasma DB project was paused in 1995 to await the known evolution in solid state devices to occur.

As from 2011 state of the art solid state technologies and associated memory cache capabilities appeared with specifications and prices to meet the lower ranges of operational speeds for FPSO and therefore make the Plasma approach feasible.

SEEL is now prototyping a second generation of Plasma Systems technology with Navatec.

1   Hector McNeill is an agricultural economist and systems engineer trained in agriculture, biometry, and agricultura economics at Cambridge University and in development economics and systems engineering at Stanford University. He founded SEEL-Systems Engineering Economics Lab in Portsmouth, Hampshire in 1983 where work on Virtual Client Technlogy was initiated. He is the President of The George Boole Foundation Ltd (London). He has led Plasma DB development since its inception and is the coordinator of the Navatec Systems Systems Group (NSSG) developing Navatec System, a significant advance in PCPM technology launched in January, 2018.