Perception and Expression

We begin with emphasis on observation and perception in this behavioural model. On one hand, a simple phenomenon can produce extremely complex chaotic behaviour, such as the famous Lorenz equations. On the other hand, however, a very complex system can also produce (for the most part) consistently recurring simple patterns and regularities, and trigger simplistic observations. For example, it is very easy to predict the location of the sun in the sky from the periodic nature of night and day, however, the underlying mechanism (gravitation and orbits) are significantly harder to understand. Mankind understood the first concept far before mastering the second. The ARL paradigm is predominantly concerned with perceptual observations taken from a system (i.e. a human) and focusses on regenerating the perceived behaviour. Thus, in this emphasis, an observational system is more likely to capture what people notice in their perception as opposed to the true underlying causes and processes. Some complex components of human behaviour (i.e. watching TV) might require extremely complex mental modeling but ultimately, might be expressed in a minimal way (i.e. staring blankly). The behaviour we are trying to recover is the perceptually energetic and observable component that is manifested in physical actions. It should be easily measureable using human-like sensors (vision). Therefore, behavioural modeling resources will not be squandered recovering modes of operation that will not have strong expressivity. The focus on perceptual and expressive modes would, consequently, provide an exterior observer of the ARL system's interaction synthesis a more convincing illusion of behaviour and life.