A holistic science is a science that includes both the material world and the spiritual world as sources of evidence. We all agree that we organize our thoughts using words. But we don't really know how words work on our minds. For most linguists, sounds mean nothing. Sound symbolism was a mystery for ages. We have succeeded in unlocking this mystery and we put the spiritual secrets to use in intelligent software.
Our theory of sound symbolism constructs algorithmic models of real world processes from their Arabic names. Although the sound symbolism has been validated in many words of twenty alphabetic languages, severe language change in other languages and the reliance of our modeling method on an old Arabic book make it impossible to use languages other than Arabic.
We first convert the symbolism of the typical three-sound word root of the Arabic name of a real world process into a general algorithmic model, a flowchart of interactions among three general process concepts. Since each general process concept represents many specific process concepts, a general algorithmic model is too vague to be useful. We must choose a specific concept for every general concept in order to translate the general model into a specific algorithmic model that we can implement in software.
Based on our current lists of specific process concepts, we have estimated that a general algorithmic model that consists of three general process concepts (a three-sound word root) can be translated into a huge number of specific algorithmic models to choose from, ranging from 15 billion to over 244 million trillions (18 zeros). As we develop more successful models, lists of specific concepts will grow, and these estimates will consequently grow very rapidly. This complex nature of sound symbolism is probably the reason why linguists were convinced that there is no useful sound symbolism at all.
We found the solution to this model translation problem in a unique type of text passages called muhkam passages (see Al-Qur'an 3:7 & 11:1). Our theory of sound symbolism was derived by generalization from observations (induction) on sound usage in these same passages. This is why we sometimes speak of “muhkam sound symbolism.” For all practical purposes, “muhkam passage” means “a passage that clearly connects reality with its models.” When such a passage mentions the name of a real world process—whose word root sounds give us a general model with general concepts—it also mentions practical concepts which suggest a narrow range of specific concept combinations to choose from (out of billions) in order to translate the general model into a highly specific model that fits the real world process.
We call such specific models of real world processes muhkam algorithmic models.
We used muhkam passages to construct over a thousand specific algorithmic models of human processes (including emotions) and other real world processes from their Arabic names. We implemented these models in software called Readware which performs large-scale cross-language text search and classification in English, German and French. Readware outperformed all participants at the National Institute of Standards' (NIST) Text Retrieval Conference in 1999 (TREC-8).
Our algorithmic models are not only easy to implement in intelligent technologies, they also lend themselves to integration and interoperability because, as we shall see later, they share the small set of seven general concepts of muhkam sound symbolism and their symmetrical combinations.
We create here holistic sciences whose foundations are muhkam algorithmic models, and we continuously improve and update them. They include biology, physiology, socio-legal science, theology, psychology, memory, learning, perception, language, health science, economics and others.
See also: How It is Done