ISHS Acta Horticulturae 562: III International Symposium on Sensors in Horticulture
NEURAL PRE-PROCESSING OF DATA ORIGINATED FROM THE NATURAL ENVIRONMENT |
| Author: | L. Ormos |
| Keywords: | Artificial intelligence, formal description, neurone, robotics |
| Abstract:
Agricultural production is an activity based on communication between sets of natural creatures and artificial objects, the natural environment and the technological environment. Both of environments might be seen as set of finite-state machines. Communication between the environments consisted of finite-state automata is based on the dominance of specified stimuli and the dominance of relationship inside a mosaic space and between the neighbour mosaic spaces. Technical solution of environmental-friendly control equipment, has similar structure to the the human nervous system. Integrated nervous activity is based on the elementary reflex course. Reflex course consists of a receptor, afferent neurone to generate synaptic potentials, efferent neurone with one or more synapses to compose stimulus and efferent organic output is the model of pre-processor which can convert perception to stimulus. The analysis of reflex course operation is important to the development of artificial intelligence and it has had to be described by regular language of formal description, and this model has been used to develop the pre-processing circuit. | |
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