Results 21 to 30 of about 2,600,802 (305)
Artificial Collective Intelligence Engineering: A Survey of Concepts and Perspectives [PDF]
Artificial Life, 2023 Collectiveness is an important property of many systems—both natural and artificial. By exploiting a large number of individuals, it is often possible to produce effects that go far beyond the capabilities of the smartest individuals or even to produce ...
Roberto Casadei
semanticscholar +1 more source
Fractal and Fractional, 2021 This paper investigates the distributed computation issue of generalized Nash equilibrium (GNE) in a multi-player game with shared coupling constraints.
Zhangcheng Feng, Wenying Xu, Jinde Cao
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E-Mail Network Patterns and Body Language Predict Risk-Taking Attitude
Future Internet, 2021 As the Enron scandal and Bernie Madoff’s pyramid scheme have shown, individuals’ attitude towards ethical risks can have a huge impact on society at large.
Jiachen Sun, Peter Gloor
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The collective intelligence of evolution and development
Collective Intelligence, 2023 Collective intelligence and individual intelligence are usually considered to be fundamentally different. Individual intelligence is uncontroversial. It occurs in organisms with special neural machinery, evolved by natural selection to enable cognitive ...
Richard Watson, M. Levin
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Scalable and Robust Fabrication, Operation, and Control of Compliant Modular Robots
Frontiers in Robotics and AI, 2020 A major goal of autonomous robot collectives is to robustly perform complex tasks in unstructured environments by leveraging hardware redundancy and the emergent ability to adapt to perturbations. In such collectives, large numbers is a major contributor
Nialah Jenae Wilson +3 more
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Demand Response Optimal Dispatch and Control of TCL and PEV Agents with Renewable Energies
Fractal and Fractional, 2021 Demand response (DR) flexible loads can provide fast regulation and ancillary services as reserve capacity in power systems. This paper proposes a demand response optimization dispatch control strategy for flexible thermostatically controlled loads (TCLs)
Jianqiang Hu, Jinde Cao
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Collective intelligence for deep learning: A survey of recent developments [PDF]
Collective Intelligence, 2021 In the past decade, we have witnessed the rise of deep learning to dominate the field of artificial intelligence. Advances in artificial neural networks alongside corresponding advances in hardware accelerators with large memory capacity, together with ...
David R Ha, Yu Tang
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Air2Land: A deep learning dataset for unmanned aerial vehicle autolanding from air to land
IET Cyber-systems and Robotics, 2022 In this paper, a novel deep learning dataset, called Air2Land, is presented for advancing the state‐of‐the‐art object detection and pose estimation in the context of one fixed‐wing unmanned aerial vehicle autolanding scenarios.
Xunchen Zheng, Tianjiang Hu
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JPP (Jurnal Politik Profetik), 2023 This paper discusses the possibility of strengthening the theory of regionness through the concept of social capital. The urgency for this topic arises from stagnating trend of regionalism project across the globe and the lack of discussions in the role
Gema Ramadhan Bastari +1 more
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Future Internet, 2023 Th metaverse presents a new opportunity to construct personalized learning paths and to promote practices that scale the development of future skills and collective intelligence.
Eman Abukhousa +2 more
semanticscholar +1 more source