Muhkam Algorithmic Models of Real World Processes for Intelligent Technologies

Abstract

This paper significantly revises and expands a chapter in a handbook of research on synthetic emotions published in 2009. The authors extend the scope beyond emotions to all real world processes. The authors use a new adaptive method to create, improve, and correct algorithmic models (models in the form of algorithms) of emotional, learning, communication, memory, perception, biological, physiological, social, legal, and spiritual processes. The models are constructed from the sound symbolism that is indicated by the usage of the Arabic names of these processes in so-called muhkam text passages. These muhkam models have been validated by successful large-scale software implementations and by clinical emotions research. Naturally, models in the form of algorithms are easy to implement in intelligent technologies. These models also lend themselves to integration and interoperability because they share a small set of seven general concepts and their symmetrical combinations.