Abstract: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 information. A honey-bee-derived swarm aggregation mechanism is used to elicit a collective prediction with an associated confidence value from the agents. Due to their multi-agent design, WoC-Bots can be distributed across multiple hardware nodes, include new features w… Show more
“…The authors of [10] demonstrate that Wisdom-of-Crowds-Bots are competitive with other top classification methods on three datasets and apply their system to a real-world sport betting problem, producing a consistent return on investment from 1 January 2021 to 15 November 2022 on most major sports.…”
The term “multi-agent system” is generally understood as an interconnected set of independent entities that can effectively solve complex and time-consuming problems exceeding the individual abilities of common problem solvers [...]
“…The authors of [10] demonstrate that Wisdom-of-Crowds-Bots are competitive with other top classification methods on three datasets and apply their system to a real-world sport betting problem, producing a consistent return on investment from 1 January 2021 to 15 November 2022 on most major sports.…”
The term “multi-agent system” is generally understood as an interconnected set of independent entities that can effectively solve complex and time-consuming problems exceeding the individual abilities of common problem solvers [...]
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