Abstract
Information is the fundamental currency of naturally occurring complex adaptive systems, whether they are individual organisms or collective social insect colonies. Information appears to be more important than energy in determining the behavior of these systems. However, it is not the quantity of information but rather its salience or meaning which is significant. Salience is not, in general, associated with instantaneous events but rather with spatio-temporal transients of events. This requires a shift in theoretical focus from instantaneous states towards spatio-temporal transients as the proper object for studying information flow in naturally occurring complex adaptive systems. A primitive form of salience appears in simple complex systems models in the form of transient induced global response synchronization (TIGoRS). Sparse random samplings of spatio-temporal transients may induce stable collective responses from the system, establishing a stimulus–response relationship between the system and its environment, with the system parsing its environment into salient and non-salient stimuli. In the presence of TIGoRS, an embedded complex dynamical system becomes a primitive automaton, modeled as a Sulis machine.
Highlights
Science is slow to accept new concepts and ideas, but once established, they gain widespread usage
A primitive form of salience appears in simple complex systems models in the form of transient induced global response synchronization (TIGoRS)
The idea that transients play a fundamental role in information processing seems
Summary
Science is slow to accept new concepts and ideas, but once established, they gain widespread usage. They generally assume perfect knowledge, perfect information, infinite resources, and where resources are limited, their optimal exploitation To distinguish between these formal idealizations and the realities of complex adaptive systems as they manifest in nature, the concept of the naturally occurring computational system (NOCS) was developed [5]. Too is the prototypical example of a NOCS, widely studied observationally, experimentally, and theoretically, a collective intelligence system, in particular, social insect colonies Their dynamics possess several important features [6,7,8] which are not usually considered in the models of computation: a. They may interact with intermediaries, lesser physical entities such as patterns of light, acoustic waves, odorants, etc., which serve as signals Their purpose is to enable the sender to influence the behavior of the receiver in some ecologically significant manner.
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