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ARXIV:2603.09963 · SWARM INTELLIGENCE · SUBMITTED 02 APR · 02:30 UTC · FRESHNESS STALE
ARXIV:2603.09963SWARM INTELLIGENCESUBMITTED 02 APR · 02:30 UTCFRESHNESS STALEarXiv
A theoretical framework exploring emotional modulation in collective decision-making dynamics.
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Pain A theoretical framework exploring emotional modulation in collective decision-making dynamics.
Evidence 0 refs | 0 sources | 17% coverage
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A theoretical framework exploring emotional modulation in collective decision-making dynamics. The bee equation, developed initially to describe nest-site selection in honeybee swarms, captures this dynamic through recruitment and inhibition processes.
Collective decision-making in biological and human groups often emerges from simple interaction rules that amplify minor differences into consensus. The bee equation, developed initially to describe nest-site selection in honeybee swarms, captures this dynamic…
ScienceToStartup currently rates this 2.0/10 on the public viability pass. Three scenarios are explored: (1) the joint effect of valence and arousal on consensus outcomes and speed, (2) the role of arousal in breaking…
Swarm Intelligence moved forward this cycle; last verified April 2026. Public score 2.0/10.
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A theoretical framework exploring emotional modulation in collective decision-making dynamics.
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10.48550/arXiv.2603.09963A theoretical framework exploring emotional modulation in collective decision-making dynamics.
Abstract
Collective decision-making in biological and human groups often emerges from simple interaction rules that amplify minor differences into consensus. The bee equation, developed initially to describe nest-site selection in honeybee swarms, captures this dynamic through recruitment and inhibition processes. Here, we extend the bee equation into an agent-based model in which emotional valence (positive-negative) and arousal (low-high) act as modulators of interaction rates, effectively altering the recruitment and cross-inhibition parameters. Agents display simulated facial expressions mapped from their valence-arousal states, allowing the study of emotional contagion in consensus formation. Three scenarios are explored: (1) the joint effect of valence and arousal on consensus outcomes and speed, (2) the role of arousal in breaking ties when valence is matched, and (3) the "snowball effect" in which consensus accelerates after surpassing intermediate support thresholds. Results show that emotional modulation can bias decision outcomes and alter convergence times by shifting effective recruitment and inhibition rates. At the same time, intrinsic non-linear amplification can produce decisive wins even in fully symmetric emotional conditions. These findings link classical swarm decision theory with affective and social modelling, highlighting how both emotional asymmetries and structural tipping points shape collective outcomes. The proposed framework offers a flexible tool for studying the emotional dimensions of collective choice in both natural and artificial systems.
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PROBLEM
A theoretical framework exploring emotional modulation in collective decision-making dynamics. The bee equation, developed initially to describe nest-site selection in honeybee swarms, captures this dynamic through recruitment and inhibition processes.
METHOD
Collective decision-making in biological and human groups often emerges from simple interaction rules that amplify minor differences into consensus. The bee equation, developed initially to describe nest-site selection in honeybee swarms, captures this dynamic through recruitmen...
RESULT
ScienceToStartup currently rates this 2.0/10 on the public viability pass. Three scenarios are explored: (1) the joint effect of valence and arousal on consensus outcomes and speed, (2) the role of arousal in breaking ties when valence is matched, and (3) the "snowball effect" i...
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Swarm Intelligence moved forward this cycle; last verified April 2026. Public score 2.0/10.
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A theoretical framework exploring emotional modulation in collective decision-making dynamics. The bee equation, developed initially to describe nest-site selection in honeybee swarms, captures this dynamic through recruitment and inhibition processes.
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
partial
Collective decision-making in biological and human groups often emerges from simple interaction rules that amplify minor differences into consensus. The bee equation, developed initially to describe nest-site selection in honeybee swarms, captures this dynamic through recruitment and inhibition processes.
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
partial
ScienceToStartup currently rates this 2.0/10 on the public viability pass. Three scenarios are explored: (1) the joint effect of valence and arousal on consensus outcomes and speed, (2) the role of arousal in breaking ties when valence is matched, and (3) the "snowball effect" in which consensus accelerates after surpassing intermediate support thresholds.
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
partial
Swarm Intelligence moved forward this cycle; last verified April 2026. Public score 2.0/10.
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
partial
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A theoretical framework exploring emotional modulation in collective decision-making dynamics.
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