Double-Layer Simulation Model of Associative Reasoning | IEEE Conference Publication | IEEE Xplore

Double-Layer Simulation Model of Associative Reasoning


Abstract:

The article presents a model for the simulation of associative reasoning. This theme has been in the spotlight for a long time, mainly due to its influence on individuals...Show More

Abstract:

The article presents a model for the simulation of associative reasoning. This theme has been in the spotlight for a long time, mainly due to its influence on individuals' cognitive and decision-making processes because they significantly affect the individual knowledge base. This influence arises from the history of individual's perceptions, and due to that, significant differences between individuals must be taken into account. The model's main benefit is the selected way of representing knowledge. It takes the whole input perception (observation) and metadata about it as a basic associative processing unit. The model also respects the different importance of specific objects and concepts in perception. Concrete procedures for the implementation of associative processes are also described. The aim was to achieve a state when the model will simulate the dynamics of associative reasoning and specify the so-called knowledge context, which can then serve as a basis for subsequent decision-making processes. The paper describes in detail the structure of the model and some experiments that were performed with it.
Date of Conference: 15-17 September 2021
Date Added to IEEE Xplore: 01 October 2021
ISBN Information:
Conference Location: Deggendorf, Germany

References

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