It is my pleasure to present to the readers of JIFS this special section entitled “Computational Collective Intelligence”, which includes 9 papers being extended versions of selected papers presented at the5th International Conference on Computational Collective Intelligence (ICCCI 2013). Conferences of series ICCCI are focused on research of the computer-based methods of Computational Collecti...

The concept of collective intelligence puts forth a key hypothesis: There is a cognitive surplus in crowds. Attempts to tap this cognitive surplus in science, business, and government are increasingly being employed [Hand 2010]. Yet, while there is relatively scarce evidence of its efficacy [Galton 1907], recent endeavors point to the potential of collective intelligence in improving people’s p...

Collective intelligence refers to the ability of groups to outperform individual decision makers when solving complex cognitive problems. Despite its potential to revolutionize decision making in a wide range of domains, including medical, economic, and political decision making, at present, little is known about the conditions underlying collective intelligence in real-world contexts. We here ...

Collective motions are common in crowd systems and have attracted a great deal of attention in a variety of multidisciplinary fields [2]. Collectiveness, which indicates the degree of individuals acting as a union in collective motion, is a fundamental and universal measurement for various crowd systems. Quantitatively measuring this universal property and comparing it across different crowd sy...

A group's collective intelligence reflects its capacity to perform well across a variety of cognitive tasks and it transcends the individual intelligence of its members. Previous research shows that group members' social sensitivity is a potential antecedent of collective intelligence, yet it is still unclear whether individual or group-level indices are responsible for the positive association...

This paper proposes a methodological approach that supports Collective Intelligence towards the design and development of a Business Continuity Plan (BCP), in order to minimize the potential of a disaster in the organization. In this framework, Collective Intelligence (CI) is supported by Web2.0 technologies that act as a diagnostic tool, providing the ability to the community of an organizatio...

Computational intelligence is a branch of artificial intelligence that comprises algorithms inspired by nature. The common characteristics of all these algorithms is their collective intelligence and adaptability to a changing environment. Due to their efficiency and simplicity, these algorithms have been employed for problem solving across social and natural sciences. The aim of this paper is ...

Collective intelligence is the ability of a group to perform more effectively than any individual alone. Diversity among group members is a key condition for the emergence of collective intelligence, but maintaining diversity is challenging in the face of social pressure to imitate one's peers. Through an evolutionary game-theoretic model of collective prediction, we investigate the role that i...

In this paper we provide a foundation for a new generation of services and tools. We define new ways of capturing, sharing and reusing information and intelligence provided by single users and communities, as well as organizations by enabling the extraction, generation, interpretation and management of Collective Intelligence from user generated digital multimedia content. Different layers of i...