ADDRESSING UTILITY SPACE COMPLEXITY IN NEGOTIATIONS INVOLVING HIGHLY UNCORRELATED, CONSTRAINT-BASED UTILITY SPACES IVAN MARSA-MAESTRE,1 MIGUEL A. LOPEZ-CARMONA,1 MARK KLEIN,2 TAKAYUKI ITO,3 AND KATSUHIDE FUJITA3 1Computer Engineering Department, Universidad de Alcala, Madrid, Spain 2Center for Collective Intelligence, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA 3School ...

This paper studies a simple model of observational learning where agents care not only about the information of others but also about their actions. We show that despite complex strategic considerations that arise from forward-looking incentives, herd behavior can arise in equilibrium. The model encompasses applications such as sequential elections, public good contributions, and leadership cha...

I investigate when side payments facilitate cooperation in a context with strategic delegation. On the one hand, allowing side payments may be necessary when one party’s participation constraint otherwise would be violated. On the other, with side payments each principal appoints a delegate that values the project less, because this increases her bargaining power. Reluctant agents, in turn, imp...

Web-based collective intelligence deserves and intends to become a full discipline with its formal framework, tools, measuring instruments, practical applications, and ethical field. As of yet, little attention has been paid to study the ethical dimension of harvesting the collective intelligence via Web-based collaborative systems. The present study aims to develop an ethical framework for the...

Healthcare is one of the most important concerns of society, being extremely relevant the accuracy and quality of their services. Basically, eHealth can be considered as the area where electronic processes and communications are used to improve the quality of medical assistance. Despite the relative maturity of the field, recalls and problems related to medical devices, applications and service...

The analysis of collective motion has attracted many researchers in artificial intelligence. Though plenty of works have been done on this topic, the achieved performance is still unsatisfying due to the complex nature of collective motions. By investigating the similarity of individuals, this paper proposes a novel framework for both quantifying and detecting collective motions. Our main contr...

Collective intelligence refers to the ability of groups to outperform individual decision-makers. At present, relatively little is known about the mechanisms promoting collective intelligence in natural systems. We here test a novel mechanism generating collective intelligence: self-organization according to information quality. We tested this mechanism by performing simulated predator detectio...

This pape r traces the history of research for Collective Intelligence, and describes new forms of Collective Intelligence on the Internet so far especially from the view of Wcb2.0, 10 figure out what Collective Intelligence is, then makes analyses on those fonns to make clear the mechanism of Colledive Inte lligence on o.e Internel. As one Complcll: Adaptive System. Colledive Inte lligence is ...

Distinct types of collective intelligence are prominent over different countries. This study explores why some types of collective intelligence knowledge services flourish in some countries but not in others by employing an analogy related to Darwin’s evolutionary theory. This study uses geographical isolation theory and Hofstede’s cultural dimensions theory (such as the uncertainty avoidance i...