Collective Intelligence

By Jan Marco Leimeister. Business & Information Systems Engineering, 2010

482 citations recorded by the source corpus.

Subfields: Communication, Computer Science Applications

View Paper: https://www.semanticscholar.org/paper/ceb2dfed3921ced660d65a0a022e48bd4858d8b0

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In Communication

In Computer Science Applications

Citations in the corpus

On Defining Artificial Intelligence (2019, background): “AI is certainly such a case, and there also have been studies on animal intelligence (Tomasello, 2000; Goldstein, Princiotta, and Naglieri, 2015), collective/group intelligence (Hofstadter, 1979; Leimeister, 2010), and alien/extraterrestrial intelligence (Regis, 1985; Cabrol, 2016).”
Hybrid Intelligence (2019, background): “This concept describes that, under certain conditions, a group of average people can outperform any individual of the group or even a single expert (Leimeister 2010).”
Evaluation on crowdsourcing research: Current status and future direction (2012, background): “Since the essence of crowdsourcing is the crowd ’ s wisdom (Surowiecki 2004) and collective intelligence (Gregg 2010; Leimeister 2010; Lévy 1995), the successful initialization and sustainable development of crowdsourcing communities largely depend on mass participation.”
Policy invariance under reward transformations for multi-objective reinforcement learning (2017, background): “framework, including air traffic control [12], traffic signal control [2], data routing in networks [13], electricity generator scheduling [14, 15], RoboCup soccer [16] and water resource management [17].”
Potential-based difference rewards for multiagent reinforcement learning (2014, methodology): “Using difference rewards directly or estimating them has proven to be an effective technique for credit assignment in many applications, including rover coordination, urban road traffic management, data routing, distributed product marketing and satellite coordination [2, 9, 16, 15, 21, 20].”
Multi-Agent Collaboration Mechanisms: A Survey of LLMs (2025, unknown): “Collective intelligence is the ability of a group to perform complex tasks and solve problems collectively, often overcoming the sum of individual contributions [71].”