Title
Societal Intelligence – A New Perspective for Highly Intelligent Systems
Abstract
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.
Year
DOI
Venue
2015
10.1007/978-3-319-26561-2_71
Lecture Notes in Computer Science
Keywords
Field
DocType
Hybrid knowledge base,Collective intelligence,Neural network,Learning,Cognitive multi-agent system,Complex system
Architecture,Marketing and artificial intelligence,Computational intelligence,Intelligent decision support system,Computer science,Collective intelligence,Human–computer interaction,Intelligence cycle (target-centric approach),Artificial intelligence,Novelty,Machine learning
Conference
Volume
ISSN
Citations 
9492
0302-9743
0
PageRank 
References 
Authors
0.34
4
3
Name
Order
Citations
PageRank
Barna Laszlo Iantovics1198.47
László Szilágyi210925.37
Camelia-Mihaela Pintea310216.15