The Formal Framework for Collective Systems

被引:2
作者
Palak, Rafal [1 ,2 ]
Wojtkiewicz, Krystian [1 ]
机构
[1] Wroclaw Univ Sci & Technol, Fac Management & Comp Sci, Dept Appl Informat, PL-50370 Wroclaw, Poland
[2] Univ Complutense Madrid, Fac Informat, Madrid 28040, Spain
关键词
collective intelligence; inference system; aggregation function; butterfly effect; reasoning stop condition; WISDOM; FORECASTS; JUDGMENTS; NETWORKS; MODEL;
D O I
10.3390/axioms10020091
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Automated reasoning is becoming crucial for information systems. Building one uniform decision support system has become too complicated. The natural approach is to divide the task and combine the results from different subsystems into one uniform answer. It is the basic idea behind the system approach, where one solution is a composition of multiple subsystems. In this paper, the main emphasis is on establishing the theoretical framework that combines various reasoning methods into a collective system. The system's formal abstraction uses graph theory and provides a discussion on possible aggregation function definitions. The proposed framework is a tool for building and testing specific approaches rather than the solution itself.
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页数:13
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