Societal Intelligence - A New Perspective for Highly Intelligent Systems

被引:1
|
作者
Iantovics, Laszlo Barna [1 ]
Szilagyi, Laszlo [2 ,3 ]
Pintea, Camelia-M. [4 ]
机构
[1] Petru Maior Univ Tirgu Mures, Dept Informat, Targu Mures, Romania
[2] Budapest Univ Technol & Econ, Budapest, Hungary
[3] Sapientia Univ Transylvania, Targu Mures, Romania
[4] Tech Univ Cluj Napoca, Cluj Napoca, Romania
来源
NEURAL INFORMATION PROCESSING, ICONIP 2015, PT IV | 2015年 / 9492卷
关键词
Hybrid knowledge base; Collective intelligence; Neural network; Learning; Cognitive multi-agent system; Complex system; FRAMEWORK;
D O I
10.1007/978-3-319-26561-2_71
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A novel concept of intelligence called "societal intelligence" and its related architecture for solving complex problems are introduced. The idea is based on what we consider on the "intelligence of human society". For illustrative purposes, a case study is realized, which involves the solution of a difficult problem in a societal multi-agent system where the agents operate in an unknown environment. In the simulated robotic mobile multi-agent system, the agents adapt their movement control in the environment based on some global knowledge constructed by the system. Besides the proposed architecture, a novelty presented in the paper is the demonstration that even in a simplified knowledge-based multi-agent system, if the principles of societal intelligence are followed, a powerful global intelligence emerges at the system's level.
引用
收藏
页码:606 / 614
页数:9
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