Computational Collective Intelligence

This comprehensive two-volume set, Computational Collective Intelligence, presents selected papers from the ICCCI 2017 conference, highlighting key advancements in the field.

The two-volume set titled Computational Collective Intelligence includes the refereed proceedings of the 9th International Conference on Collective Intelligence, ICCCI 2017, which took place in Nicosia, Cyprus, in September 2017. This comprehensive collection features 117 full papers that were meticulously reviewed and selected from a total of 248 submissions. The conference aimed to explore advancements in the methodology and applications of computational collective intelligence, providing a platform for researchers and practitioners to share their insights and findings.

The papers presented in Computational Collective Intelligence cover a wide array of topics, including multi-agent systems, knowledge engineering, and the semantic web. Additionally, the proceedings delve into social networks, recommender systems, text processing, information retrieval, and various data mining methods. Each contribution reflects the current trends and challenges in the field, offering valuable perspectives on how collective intelligence can be harnessed to solve complex problems.

Furthermore, the volume addresses emerging areas such as sensor networks, the Internet of Things, decision support and control systems, and computer vision techniques. By bringing together diverse research contributions, Computational Collective Intelligence serves as an essential resource for anyone interested in the evolving landscape of collective intelligence and its applications across different domains.