Abstract
In this paper, we propose a mechanism 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 have previously 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, and artificial intelligence. This paper presents a further development, which considers breakthrough thinking processes and introduces cognitive programming approaches. We use mappings of unformalized cognitive concepts and their connections into mathematical constructions or sets of objects (documents, messages, comments, etc.) as semantic interpretations of the cognitive model. We applied special structural conditions to the set of semantic interpretations. Our techniques can help groups of experts and decision-makers to create simultaneously non-causal and good decisions. The methods have been implemented as software, the e-expertise system, and have been tested on decision-making processes in e-government conditions.
Highlights
IntroductionThe expert group ability of making simultaneously non-causal (non-formal) and good decisions is an issue that
The expert group ability of making simultaneously non-causal and good decisions is an issue thatAt the same time, formal descriptions of the problems are very important for speeding up the group decision-making process
We propose and prove that we can significantly speed up group decision-making processes by applying a special convergent structure for the semantic interpretation of concepts in cognitive modeling processes
Summary
The expert group ability of making simultaneously non-causal (non-formal) and good decisions is an issue that. Working with the previously mentioned concepts and spaces, the solutions of the inverse problem include a stepwise introduction of qualitative information from experts into the decision-making process, with the hope of gaining an insight An investigation of this method for achieving an insight reveals the following hyperplane and an operator for the semantic interpretation of the insight achieving path. The most important training topics concern the organization of group networked analyses of different situations, consistent descriptions of decisions, and networked expert procedures Programs for this training may include material from disciplines such as philosophy, psychology, political science, sociology, mathematics, physics, management science, solutions of inverse problems, controlled chaos, and quantum semantics.
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