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Bee-like agents evolve communication codes in simulated populations

By PulseAugur Editorial · [1 sources] ·

Researchers have modeled the emergence and evolution of communication codes in populations of bee-like agents, focusing on the honeybee waggle dance. The study found that direct pointing to food sources evolves when food is moderately difficult to find, but fails when food is too sparse or too abundant. A transition to a gravity-referenced code is influenced by mutation rates and exogenous benefits for vertical combs, with reliable transitions occurring under favorable conditions. AI

IMPACT Simulates agent-based communication evolution, offering insights into emergent signaling systems.

RANK_REASON Academic paper detailing a simulation of communication code evolution. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.MA (Multiagent) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Bee-like agents evolve communication codes in simulated populations

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Academic paper detailing a simulation of communication code evolution. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Grzegorz Chrupała ·

    The emergence and evolution of a referential code in populations of bee-like agents

    Communication requires a shared code, and any change to it must be coordinated between senders and receivers to avoid a breakdown of communication. The honeybee waggle dance illustrates this problem: species with horizontal combs point directly at a food source, while species wit…

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