Results 261 to 270 of about 2,600,802 (305)
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2014
Abstract The rise of the Internet and social media reignites interest in collective intelligence. We frame collective intelligence as follows: (1) Simple aggregation of individual opinion is a poor substitute for reasoned opinion by collectives (i.e., deliberation) except in limited circumstances.
Cappella, Joseph N +2 more
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Abstract The rise of the Internet and social media reignites interest in collective intelligence. We frame collective intelligence as follows: (1) Simple aggregation of individual opinion is a poor substitute for reasoned opinion by collectives (i.e., deliberation) except in limited circumstances.
Cappella, Joseph N +2 more
openaire +3 more sources
IEEE Transactions on Mobile Computing, 2023
Edge intelligence is emerging as a new interdiscipline to push learning intelligence from remote centers to the edge of the network. However, with its widespread deployment, new challenges arise in terms of training efficiency and service of quality (QoS)
Qinqin Tang +6 more
semanticscholar +1 more source
Edge intelligence is emerging as a new interdiscipline to push learning intelligence from remote centers to the edge of the network. However, with its widespread deployment, new challenges arise in terms of training efficiency and service of quality (QoS)
Qinqin Tang +6 more
semanticscholar +1 more source
Information-Driven Collective Intelligences
2010Information-driven collective intelligences derive from the connection and the interaction of multiple, distributed, independent agents that produce and process information, and eventually turn it into knowledge, meant in the broad sense of capability of conceptual representation.
ARCELLI F, FORMATO F, PARESCHI, Remo
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Journal of Interdisciplinary Research in Artificial Intelligence and Society
The purpose of this paper is to outline an overall structure of the interrelations between artificial intelligence and human dimension, both at the macroscopic level (society, economic-productive systems) and at the individual level (human subjectivity ...
Tommaso Muciaccia, L. Macchia
semanticscholar +1 more source
The purpose of this paper is to outline an overall structure of the interrelations between artificial intelligence and human dimension, both at the macroscopic level (society, economic-productive systems) and at the individual level (human subjectivity ...
Tommaso Muciaccia, L. Macchia
semanticscholar +1 more source
Collective Intelligence, 2022
Despite its success in financial markets and other domains, collective intelligence seems to fall short in many critical contexts, including infrequent but repeated financial crises, political polarization and deadlock, and various forms of bias and ...
A. Lo, Ruixun Zhang
semanticscholar +1 more source
Despite its success in financial markets and other domains, collective intelligence seems to fall short in many critical contexts, including infrequent but repeated financial crises, political polarization and deadlock, and various forms of bias and ...
A. Lo, Ruixun Zhang
semanticscholar +1 more source
Four development stages of collective intelligence
Frontiers of Information Technology & Electronic EngineeringThe new generation of artificial intelligence (AI) research initiated by Chinese scholars conforms to the needs of a new information environment changes, and strives to advance traditional artificial intelligence (AI 1.0) to a new stage of AI 2.0. As one
Renbin Xiao
semanticscholar +1 more source
Proceedings of the 9th Workshop on Performance Metrics for Intelligent Systems, 2009
Intelligent systems are moving from science to more widespread engineering development and deployment. The objectives of this paper are to suggest design-oriented attributes that may provide a useful basis for classifying systems of systems. The discussion extends existing concepts, such as ALFUS, to complex ad hoc systems of systems wherein the ...
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Intelligent systems are moving from science to more widespread engineering development and deployment. The objectives of this paper are to suggest design-oriented attributes that may provide a useful basis for classifying systems of systems. The discussion extends existing concepts, such as ALFUS, to complex ad hoc systems of systems wherein the ...
openaire +2 more sources
Proceedings of the 2nd International Conference on Crowd Science and Engineering, 2017
From1 the 18th century Enlightenment to the New Millennium, the wisdom of crowd, later named the collective intelligence, has attracted many scientists to study its principle and application. This article shows the picture of collective intelligence study process in time order.
Chao Yu, Yueting Chai, Yi Liu
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From1 the 18th century Enlightenment to the New Millennium, the wisdom of crowd, later named the collective intelligence, has attracted many scientists to study its principle and application. This article shows the picture of collective intelligence study process in time order.
Chao Yu, Yueting Chai, Yi Liu
openaire +1 more source
2012
This book examines the theoretical and conceptual foundation of effective modern intelligence collectionâthe strategies required to support intelligence analysis of the modern, complex operational environments of today's military conflicts or competitive civilian situations such as business. Just as the old rules of conventional warfare and
Wayne Michael Hall, Gary Citrenbaum
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This book examines the theoretical and conceptual foundation of effective modern intelligence collectionâthe strategies required to support intelligence analysis of the modern, complex operational environments of today's military conflicts or competitive civilian situations such as business. Just as the old rules of conventional warfare and
Wayne Michael Hall, Gary Citrenbaum
openaire +1 more source
2021
Abstract The chapter provides an introduction to the social science of ‘collective intelligence’, the aggregation of individual judgments for purposes of collective decision making. It starts from the basic logic of the Condorcet jury theorem and summarises the main determinants of the accuracy of collective cognition.
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Abstract The chapter provides an introduction to the social science of ‘collective intelligence’, the aggregation of individual judgments for purposes of collective decision making. It starts from the basic logic of the Condorcet jury theorem and summarises the main determinants of the accuracy of collective cognition.
openaire +1 more source