Convergent Networked Decision-making Using Group Insights

Paper / Decision-making and Valuation

Convergent Networked Decision-making Using Group Insights
Alexander N. Raikov , Director, Russian Federation

For speeding up networked group decision-making and gaining a collective insight it is useful to create cognitive model and structure the information in a special convergent way.

We are interesting in mechanisms for speeding up networked group expertise (e-expertise) and gaining a collective insight, by structuring the information used in the decision-making process in a special convergent way. We proposed the convergent method for structuring information, which is based on the fundamental principles of control thermodynamics, inverse problems, holistic discourse, cognitive modeling, quantum semantics, group insight, and artificial intelligence. It is useful to map unformalized cognitive concepts and their connections into mathematical constructions or sets of objects (documents, messages, comments, etc.) as semantic interpretations of the cognitive model. Our techniques can help groups of experts and decision-makers to create simultaneously non-causal and good decisions.

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Other Views by this Author: Genetic Consensus | Network Decision Support System | Sustainable group decision-making process | Cognitive simulation

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