Experimental Knowledge Processing System

Architecture of a Knowledge Processing System (KPS)

Intelligent Broadband Multimedia Networks ◽

10.1007/978-1-4615-6341-9_18 ◽

1997 ◽

pp. 414-442

Author(s):

Syed V. Ahamed ◽

Victor B. Lawrence

Keyword(s):

Processing System ◽

Knowledge Processing

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DEDUC Knowledge Processing System

Expertensystemshell DEDUC / Wissensdynamik mit DEDUC ◽

10.1007/978-3-322-96858-6_6 ◽

1989 ◽

pp. 104-112

Author(s):

Karl-Friedrich Müller-Reißmann ◽

Hartmut Bossel ◽

Bernd R. Hornung

Keyword(s):

Processing System ◽

Knowledge Processing

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Knowledge processing system using improved chaotic associative memory

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium ◽

10.1109/ijcnn.2000.861531 ◽

2000 ◽

Cited By ~ 1

Author(s):

Y. Osana ◽

M. Hagiwara

Keyword(s):

Associative Memory ◽

Processing System ◽

Knowledge Processing

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Neuronless Knowledge Processing in Forests

Applied Sciences ◽

10.3390/app10072509 ◽

2020 ◽

Vol 10 (7) ◽

pp. 2509

Author(s):

Aviv Segev ◽

Dorothy Curtis ◽

Christine Balili ◽

Sukhwan Jung

Keyword(s):

Neural Network ◽

Processing System ◽

Basic Knowledge ◽

Resource Usage ◽

Knowledge Processing ◽

Single Tree ◽

Canopy Tree ◽

The Us ◽

Forest Use ◽

Tree Coverage

Neurons are viewed as the basic cells that process and transmit information. Trees and neurons share a similar structure and neurotransmitter-like substances. No evidence for structures such as neurons, synapses, or a brain has been found inside plants. Consequently, the ability of a network of trees to process information in a method similar to that of a neural network and to make decisions regarding the usage of resources is unperceived. We show that the network between trees is used for knowledge processing to implement decisions that prioritize the forest over a single tree regarding forest use and optimization of resources, similar to the processes of a biological neural network. We found that when there is resection of a network of trees in a forest, namely a trail, each network part will try optimizing its overall access to light resources, represented by canopy tree coverage, independently. This was analyzed in 323 forests in different locations across the US where forest resection is performed by trails. Our results demonstrate that neuron-like relations can occur in a forest knowledge processing system. We anticipate that other systems exist in nature where the basic knowledge processing for resource usage is performed by components other than neurons.

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