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JinHyo Joseph Yun, EuiSeob Jeong, Xiaofei Zhao, Sung Deuk Hahm and KyungHun Kim
Responding to the lack of empirical research on the effect of collective intelligence on open innovation in the fourth industrial revolution, we examined the relationship between collective intelligence and open innovation. Collective intelligence or cro...
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Bin Li, Yuxiang Tan, Qingqing Guo and Weihuan Wang
Effective line loss management necessitates a model-driven evaluation method to assess its efficiency level thoroughly. This paper introduces a ?model-driven + data-driven? approach based on collective intelligence theory to address the limitations of in...
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Niccolo Pescetelli
As artificial intelligence becomes ubiquitous in our lives, so do the opportunities to combine machine and human intelligence to obtain more accurate and more resilient prediction models across a wide range of domains. Hybrid intelligence can be designed...
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Lisa O?Bryan, Margaret Beier and Eduardo Salas
Researchers of team behavior have long been interested in the essential components of effective teamwork. Much existing research focuses on examining correlations between team member traits, team processes, and team outcomes, such as collective intellige...
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klaus Solberg Söilen
The problem we want to solve is to find out what is new in the collective intelligence literature and how it is to be understood alongside other social science disciplines. The reason it is important is that collective intelligence and problems of collab...
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klaus Solberg Söilen
For the upcoming conference on Intelligence Studies at ICI 2020 in Bad Nauheim, Germany the focus of this issue of JISIB is on collective intelligence and foresight. The first two papers by Søilen and Almedia and Lesca deal with collective intelligence f...
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Luca Ronzio, Andrea Campagner, Federico Cabitza and Gian Franco Gensini
Medical errors have a huge impact on clinical practice in terms of economic and human costs. As a result, technology-based solutions, such as those grounded in artificial intelligence (AI) or collective intelligence (CI), have attracted increasing intere...
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Enrico Imbimbo, Federica Stefanelli and Andrea Guazzini
Humans create teams to be more successful in a large variety of tasks. Groups are characterized by an emergent property called collective intelligence, which leads them to be smarter than single individuals. Previous studies proved that collective intell...
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Ursula Teubert
This publication describes a methodology and framework for the use of thinkingmethods as a lever to develop collective intelligence. The purpose of the described methodologyand framework is to leverage in an optimal way thinking methods well-chosen to th...
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Fernando C Almeidaa de,Humbert Lescab
The treatment of weak signals is identified as a method to identify strategic surprises in a firm?s environment. Many researchers address the problem of anticipation of movements that have an impact on a firm?s environment. Weak signals are considered in...
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Juan Luis Peñaloza Figueroa, Carmen Vargas Pérez
Pág. 201 - 212
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Takuya Nakata, Sinan Chen, Sachio Saiki and Masahide Nakamura
Software upcycling, a form of software reuse, is a concept that efficiently generates novel, innovative, and value-added development projects by utilizing knowledge extracted from past projects. However, how to integrate the materials derived from these ...
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Sean Grimes and David E. Breen
Wisdom-of-Crowds-Bots (WoC-Bots) are simple, modular agents working together in a multi-agent environment to collectively make binary predictions. The agents represent a knowledge-diverse crowd, with each agent trained on a subset of available informatio...
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David Pastor-Escuredo, Philip Treleaven and Ricardo Vinuesa
The digital revolution has brought ethical crossroads of technology and behavior, especially in the realm of sustainable cities. The need for a comprehensive and constructive ethical framework is emerging as digital platforms encounter trouble to articul...
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Lav R. Varshney and Aron K. Barbey
Global policy makers increasingly adopt subjective wellbeing as a framework within which to measure and address human development challenges, including policies to mitigate consequential societal problems. In this review, we take a systems-level perspect...
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Rafal Olszowski and Marcin Chmielowski
In this study, we focus on models of civic debate suitable for use in Polish-Ukrainian internet projects, as well as methods of researching collective intelligence that can help to monitor particular aspects of such debates and consequently create social...
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Sean Grimes and David E. Breen
We present a flexible, robust approach to predictive decision-making using simple, modular agents (WoC-Bots) that interact with each other socially and share information about the features they are trained on. Our agents form a knowledge-diverse crowd, a...
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Andrea Guazzini, Mirko Duradoni, Alessandro Lazzeri and Giorgio Gronchi
Collective problem-solving and decision-making, along with other forms of collaboration online, are central phenomena within ICT. There had been several attempts to create a system able to go beyond the passive accumulation of data. However, those system...
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Andrea Guazzini, Mirko Duradoni, Alessandro Lazzeri and Giorgio Gronchi
Collective problem-solving and decision-making, along with other forms of collaboration online, are central phenomena within ICT. There had been several attempts to create a system able to go beyond the passive accumulation of data. However, those system...
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