Home // INTELLI 2013, The Second International Conference on Intelligent Systems and Applications // View article
Overcoming the Condorcets Border in Collective Intelligence Systems
Authors:
Vladislav Protasov
Zinaida Potapova
Eugene Melnikov
Keywords: collective intelligence; genetic algorithm; coordination; generation; evaluation
Abstract:
The paper presents a new approach of solving intellectual problems by means of collective intelligence. The essence of the approach is combination of two principles: Condorcet’s principle of the jury and evolutional coordination, based on reciprocal evaluation among intellectual agents. This method exploits both generative and evaluative abilities of the agents and allows to eliminate so called Condorcet’s border, which means that for obtaining correct solution every expert must make correct decision with probability greater than 0.5. The paper also observes the conditions that guarantee correct solution obtainment.
Pages: 161 to 166
Copyright: Copyright (c) IARIA, 2013
Publication date: April 21, 2013
Published in: conference
ISSN: 2308-4065
ISBN: 978-1-61208-269-1
Location: Venice, Italy
Dates: from April 21, 2013 to April 26, 2013