Essay Abstract
In this essay I describe how we can use autonomous agents (AAs) from Embodied Cognitive Science (ECS) as models for real observers in order to understand how science may emerge for observers. I model science as the ability of observers to use symbolic systems to perform experiments. The methodology consists in designing specific experiments with AAs and application of these experiments to show how we can interpret such experiments as observers perform experiments using symbolic systems. According to an idea of Albert Einstein all human-observer notions (in science, daily life etc.) are arbitrarily creations of thinking and cannot be derived inductively from experience [4]. In other words, symbolic systems which are created by observers are only labels for stable sensor input patterns which may originate from environment objects as well as from patterns created by observers themselves. I will introduce a simple experiment with an AA which shows how we can formalize these ideas in an ECS-experiment. For this purpose I introduce various models elements like classifications processes, internal/external categories, correlation of categories and artificial/natural pattern source based categories. I speculate that if such experiments would be performed systematically in ECS with increasing complexity in the long run we will be able to obtain basic propositions for foundational sciences like physics or mathematics from such experiments. This would allow for an experimentally based understanding of how an observer creates a picture of reality.
Author Bio
The author has received his Ph.D. in theoretical astrophysics from Max Planck Institute for Astrophysics. The author is working since several years in software industry.