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2104.00770

When do Social Learners Affect Collective Performance Negatively? The Predictions of a Dynamical-System Model

Vicky Chuqiao Yang, Mirta Galesic, Harvey McGuinness, Ani Harutyunyan

correctmedium confidence
Category
Not specified
Journal tier
Strong Field
Processed
Sep 28, 2025, 12:56 AM

Audit review

The paper formulates the 2D system for individual and social learners, derives the Jacobian at the symmetric fixed point for m = 0.5, and proves the critical threshold s_c = 1/f′(0.5), with bistability for s > s_c and the necessity of hyperconformity (f′(0.5) > 1) for bistability. These claims appear in the main text and are proven in SM Sec. 4 (including Eq. 8), using the model defined in Eqs. (3)–(6) and the symmetric, increasing conformity function f (Eq. 2) . The candidate solution arrives at the same conclusions via a clean 1D reduction for x(t): x′ = (1−s)m + s f(x) − x, then linearization at x* = 1/2 and symmetry arguments. It also correctly identifies f′(1/2) = α for the canonical family and the regimes α ≤ 1 (no bistability) vs α > 1 (pitchfork/bistability) consistent with the paper’s figures and discussion . Minor nuance: at the exact boundary (e.g., α = 1 with s = 1), stability is marginal rather than asymptotically stable—neither the paper nor the model dwells on this edge case. Overall, both are correct and aligned; the proofs differ in presentation (2D Jacobian vs 1D reduced flow).

Referee report (LaTeX)

\textbf{Recommendation:} minor revisions

\textbf{Journal Tier:} strong field

\textbf{Justification:}

The paper offers a coherent, partly analytic framework for collective decision dynamics with social vs. individual learners and a flexible conformity function. The central threshold result and bifurcation picture are correct and insightful, and the modeling choices are well motivated. Clarity is good, and figures support the claims. Minor revisions should clarify threshold edge cases, make endpoint assumptions explicit, and optionally include a succinct 1D reduction to complement the Jacobian-based proof.