Decision making by superimposing information from parallel cognitive channels

Sergey K. Aityan

doi:10.1117/12.149059

4 August 1993 Decision making by superimposing information from parallel cognitive channels

Sergey K. Aityan

Proceedings Volume 1909, Device-Independent Color Imaging and Imaging Systems Integration; (1993) https://doi.org/10.1117/12.149059
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1993, San Jose, CA, United States

Abstract

A theory of decision making with perception through parallel information channels is presented. Decision making is considered a parallel competitive process. Every channel can provide confirmation or rejection of a decision concept. Different channels provide different impact on the specific concepts caused by the goals and individual cognitive features. All concepts are divided into semantic clusters due to the goals and the system defaults. The clusters can be alternative or complimentary. The 'winner-take-all' concept nodes firing takes place within the alternative cluster. Concepts can be independently activated in the complimentary cluster. A cognitive channel affects a decision concept by sending an activating or inhibitory signal. The complimentary clusters serve for building up complex concepts by superimposing activation received from various channels. The decision making is provided by the alternative clusters. Every active concept in the alternative cluster tends to suppress the competitive concepts in the cluster by sending inhibitory signals to the other nodes of the cluster. The model accounts for a time delay in signal transmission between the nodes and explains decreasing of the reaction time if information is confirmed by different channels and increasing of the reaction time if deceiving information received from the channels.

Citation Download Citation

Sergey K. Aityan "Decision making by superimposing information from parallel cognitive channels", Proc. SPIE 1909, Device-Independent Color Imaging and Imaging Systems Integration, (4 August 1993); https://doi.org/10.1117/12.149059

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KEYWORDS

Brain

Cognitive modeling

Cognition

Neural networks

Data processing

Neurons

Parallel computing

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