What is the theory about?

The theory has been developed from Graham Willett's discovery of the basic natural codes which form the basis of all living and non-living systems that we see around us. We are surrounded by systems: our body, organisations, traffic, products, services, ecosystems to name a few. By understanding how these systems work, we can break down complex systems into simple processes for analysis.

The theory also recognises that these natural codes can be combined, to form a hierarchy of increasing capability, decision-making and intelligence. This intricate structure exhibits the same behaviour as evolution. The knowledge of how these codes can be combined, allows us to analyse and design products, services, organisations, etc for increased performance and other benefits, like profit.

An important part of the Theory is based on the re-interpretation of how entropy works in nature ... as the movement towards relative stability, rather than specifically order/disorder or energy dispersion/concentration. Note that stability also equals benefits, i.e. profit, satisfaction, even playing a better round of golf.

The theory is important because it allows us to analyse and explain the behaviour of complex systems (living and non-living). At present, science and mathematics struggles to interpret complex behaviour, for example in society or even at the molecular level. The Theory allows us to analyse complex behaviour by using natural codes, so that we can engineer system behaviour to predetermined goals. For example, we can design products or organisations to behave in specific ways, so that they perform better in the marketplace. Click here to see an example.

A single assumption was made for the theory. Instability is not sustainable. Change is the response that alleviates instability in favour of relative stability. Entropy is the mechanism for such change.

The 'theory for everything' has been the 'holy grail' of scientists, for hundreds of years. A theory for everything will take some time to eventuate and be accepted by a wide cross-section of scientists. However, it is reasonable to conclude that nature will not operate on the ABC of theories but on a comprehensive and coherent set of codes. To this extent, the Unifying Theory of Entropy is considered an important step in the process of developing a comprehensive theory because it unifies many of the principles and theories of science that are accepted universally, and provides a set of natural codes for analysing, creating and re-designing living and non-living systems.

Since 1997, Willett has continued to refine the theory of processes and systems. In so doing the phenomenon of entropy was re-visited. Entropy is proving to be a phenomenon of far greater significance than previously thought. Willett made a further significant breakthrough - in understanding the role of entropy as the movement towards relative stability. Using this knowledge, combined with the coding of evolution, Willett has moved on to generate a new systems theory that embraces complex and diverse living and non-living systems, with universal applications.

The theory was named the "Unifying" Theory of Entropy because it brings together themes from the great theories of history (including those of Einstein and Darwin) and moves a step closer to the 'Holy Grail' of a single comprehensive theory for nature. Evolution as described by Darwin was a version limited by the knowledge and technology available at the time. With today's wealth of information on natural systems combined with the discovery that systems are formatted by natural codes, evolution can now be viewed as a far more intricate and elegant phenomenon than previously thought. The work of Einstein is relevant to the new discovery in regard to the relativity of living systems and their relationship with the physical world.

Because of the significant commercial value of this theory the proprietors have decided to move towards commercialisation rather than follow the traditional publish or perish route. However the theory has been presented to numerous scientists, other academics and professionals (under conditions of non-disclosure) for the purpose of peer review and critique. The general principles of the theory have been released to the public via the media and in many public presentations in Brisbane and Sydney, Australia (many more to come). An open invitation has been extended to any individual, group or organisation that has a specific interest in applying the theory for commercial development to make contact for further information.

By being able to analyse and engineer complex systems the theory has the potential to impact on almost every aspect of our daily lives from the improved delivery of public policy, to business re-structuring, research involving complex systems such as medical research on viruses, cancer and the human immune system, etc. It also has the potential to develop IT systems with capability for creative and intelligent thinking.

Work has already begun on applications for the theory in the analysis and design of complex financial systems of interest to banks and related financial institutions where traditional software is breaking down as process drift occurs.

The role of the theory is to provide an understanding of process mechanisms and the formation of complex system arrays. Cancers appear to result from damage to complex finely balanced system arrays in the body where the cause and effect are non-linear. To the extent that the theory provides a methodology for the analysis of systems behaviour, it can assist researchers to view their problem/research from another angle, and better understand the non-linear cause and effect systems chain, so that they can begin to engineer solutions for prevention of cancer and other 'difficult' diseases.

Similarly, the theory could be used by immunologists who are developing vaccines or other treatments for complex viruses/diseases.

This will be a "computer" platform that has the natural codes and their rules embedded into its operating system. The "software" will behave the same way as natural systems, with similar behaviour and outcomes. Ultimately it is anticipated that these codes will be used in multi-tiered system arrays, to simulate creative and intelligent processing of data.

This is a large-scale project and will require collaboration with a wide range of IT, science and business experts from around the world. We will use a multi-stage approach, commencing with a feasibility study.

It is expected that the project will take 5-10 years to complete, with commercial applications being developed along the path to the final application - the new computing platform. Once the platform technology has been developed, creative and intelligent software can also be developed for business, medical research, and many other industries.