{ "cells": [ { "cell_type": "markdown", "id": "1394270e", "metadata": {}, "source": "# g-distance: accommodation and excess flexibility\n\n*The vignette `vignette(\"gdistance\")` of the R package clobe, ported to `psp.clobe`.*\n\nA common way to evaluate a model is to fit it to the average result and see how close it gets. But people differ, and a model of human behaviour should be able to do what each of them does, without doing much that none of them do. g-distance (Dome & Wills, 2025) measures exactly that. This notebook defines it step by step, works through an example by hand, and shows how to read the result." }, { "cell_type": "code", "execution_count": 1, "id": "c0358d72", "metadata": { "execution": { "iopub.execute_input": "2026-10-15T15:58:31.562109Z", "iopub.status.busy": "2026-10-15T15:58:31.562005Z", "iopub.status.idle": "2026-10-15T15:58:32.659227Z", "shell.execute_reply": "2026-10-15T15:58:32.658703Z" } }, "outputs": [], "source": [ "import sys\n", "\n", "import math\n", "import numpy as np\n", "import pandas as pd\n", "import torch\n", "from IPython.display import Markdown, display\n", "import matplotlib.pyplot as plt\n", "\n", "from psp import clobe\n", "\n", "sys.path.insert(0, \"..\") # for notebooks/figure_style.py\n", "from figure_style import aqua, blue, figures, ink, light, muted, orange, reference, titled\n", "\n", "show = figures(\"clobe-gdistance\")\n" ] }, { "cell_type": "markdown", "id": "1c75f3e4", "metadata": {}, "source": "## Three sets of patterns\n\nEverything is expressed in terms of ordinal patterns (inequality matrices; see [inequality-matrices.ipynb](inequality-matrices.ipynb)). g-distance uses three sets of them (Dome & Wills, 2025, Figure 3):\n\n- $H$, the patterns **h**umans have been observed to show under some defined conditions, such as one experiment.\n- $M$, the patterns the **m**odel can produce under those conditions, found by parameter space partitioning.\n- $U$, the **u**niversal set of every conceivable pattern: observed or not, producible by the model or not (see [universal-set.ipynb](universal-set.ipynb)).\n\n$H$ and $M$ are both parts of $U$, and a prime marks the rest of $U$: $H'$ is every pattern nobody showed, $M'$ every pattern the model cannot produce. Each set counts a pattern once, however often it occurs." }, { "cell_type": "code", "execution_count": 2, "id": "07ae0e9f", "metadata": { "execution": { "iopub.execute_input": "2026-10-15T15:58:32.660627Z", "iopub.status.busy": "2026-10-15T15:58:32.660469Z", "iopub.status.idle": "2026-10-15T15:58:32.988333Z", "shell.execute_reply": "2026-10-15T15:58:32.987754Z" } }, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": { "image/png": { "height": 410, "width": 614 } }, "output_type": "display_data" } ], "source": [ "from matplotlib.patches import Circle, Rectangle\n", "\n", "fig, ax = plt.subplots(figsize=(7, 4.4))\n", "ax.add_patch(Rectangle((0, 0), 10, 6, facecolor=\"white\", edgecolor=ink, linewidth=1.5))\n", "ax.add_patch(Circle((3.9, 3), 2.3, facecolor=blue, alpha=0.15, edgecolor=blue, linewidth=2))\n", "ax.add_patch(Circle((6.1, 3), 2.3, facecolor=orange, alpha=0.15, edgecolor=orange, linewidth=2))\n", "ax.text(0.3, 5.55, \"U, every conceivable pattern\", color=ink, fontsize=11, va=\"center\")\n", "ax.text(1.7, 5.05, \"H, humans\", color=blue, fontsize=11, va=\"center\", fontweight=\"bold\")\n", "ax.text(7.0, 5.05, \"M, the model\", color=orange, fontsize=11, va=\"center\", fontweight=\"bold\")\n", "for x, y, text in [(2.8, 3, \"missed\\nH ∩ M′\"), (5, 3, \"ACC\\nM ∩ H\"), (7.2, 3, \"UMP\\nM ∩ H′\"),\n", " (9, 0.7, \"neither\\nH′ ∩ M′\")]:\n", " ax.text(x, y, text, color=ink, fontsize=11, ha=\"center\", va=\"center\", linespacing=1.5)\n", "ax.set(xlim=(-0.2, 10.2), ylim=(-0.2, 6.2), aspect=\"equal\")\n", "ax.axis(\"off\")\n", "ax.set_title(\"The sets of g-distance\")\n", "show(fig, \"sets\")" ] }, { "cell_type": "markdown", "id": "143a8144", "metadata": {}, "source": "A pattern the model produces that people showed is an **accommodation** (ACC, $M \\cap H$). A pattern the model says should be observable, but that nobody has shown, is an **unobserved model pattern** (UMP, $M \\cap H'$); if it is observed later, it becomes an accommodation. A model can be inadequate in two ways: through a deficit of accommodation, missing patterns people show ($H \\cap M'$), or through an excess of UMPs, a lack of specificity. A model that can produce every logically possible result never fails to accommodate, and explains nothing. With perfect information, a perfect theory accommodates everything in $H$ and produces no UMPs: both $H \\cap M'$ and $M \\cap H'$ are empty.\n\n## Accommodation: alpha\n\n**Accommodation** is the share of the human patterns the model produces:\n\n$$\n\\alpha = \\frac{|M \\cap H|}{|H|} \\qquad \\text{(Equation 1)}.\n$$\n\nIt runs from 0 (the model produces none of the patterns people showed) to 1 (it produces them all).\n\n### Weighting by how many people show a pattern\n\nIn their application, Dome and Wills (2025) computed g-distance for each participant's trial order. Each trial order has a single human pattern, so for each participant $\\alpha$ is either 1 or 0: the model produces that person's pattern or it does not. The reported $\\alpha$ is the average over participants, which weights every pattern by how many people show it: if one pattern is shown by 100 people and another by 10, the model's success on the first counts ten times as much.\n\n`gdistance()` gives this weighting directly through `frequencies`, the proportion $f_h$ of people with each pattern:\n\n$$\n\\alpha = \\sum_{h \\in H} f_h \\times\n\\begin{cases} 1 & \\text{if } h \\in M \\\\ 0 & \\text{otherwise.} \\end{cases}\n$$\n\nFor a model whose patterns do not depend on the trial order, this is the average of the participants' $\\alpha$; with the same frequency for every pattern, it is Equation 1.\n\n## Excess flexibility: beta\n\n**Excess flexibility**, the breadth of UMPs, is the number of patterns the model produces that nobody showed, as a proportion of all the patterns nobody showed:\n\n$$\n\\beta = \\frac{|M \\cap H'|}{|H'|} = \\frac{|M \\setminus H|}{|U| - |H|} \\qquad \\text{(Equation 2)}.\n$$\n\nIt runs from 0 (the model produces nothing beyond what was observed) to 1 (it produces every unobserved pattern). `gdistance()` computes it from the pooled set of human patterns, $H$. In the per-trial-order calculation of the paper, each participant's $H$ holds that participant's single pattern, and $\\beta$ is averaged over participants instead.\n\n## Combining them: g-distance\n\nWith complete information, a perfect model has $\\alpha = 1$ and $\\beta = 0$: the **PAS** point, for Perfect Accommodation and Specificity, specificity being $1 - \\beta$. A model's inadequacy is its distance from that point in the two-dimensional space of $1 - \\alpha$ and $\\beta$:\n\n$$\ng = \\sqrt{\\frac{(1 - \\alpha)^2 + \\beta^2}{2}} \\qquad \\text{(Equation 3)},\n$$\n\nwhere the division by 2 keeps $g$ between 0 and 1. With complete information, $g$ is the distance of the model from the ground truth of the observations, hence **g-distance**, ground truth distance. Lower is better.\n\nEquation 3 weighs accommodation and specificity equally, a default rather than a strong theoretical commitment. With a weight $w$ between 0 and 1,\n\n$$\ng = \\sqrt{w (1 - \\alpha)^2 + (1 - w) \\beta^2} \\qquad \\text{(Equation 4)}.\n$$\n\nA larger $w$ penalises missed human behaviour more, a smaller $w$ penalises UMPs more, and \"model A is more adequate than model B\" ($g_A < g_B$) can be stated for a range of beliefs about $w$, such as $1 > w > 0.25$." }, { "cell_type": "markdown", "id": "056f4f3c", "metadata": {}, "source": "## A worked example\n\nThree stimuli, four participants. Two produce the same pattern (A), and one each produces B and C. The model produces A and B, and two patterns nobody showed (D and E)." }, { "cell_type": "code", "execution_count": 3, "id": "0f9eb18f", "metadata": { "execution": { "iopub.execute_input": "2026-10-15T15:58:32.989342Z", "iopub.status.busy": "2026-10-15T15:58:32.989225Z", "iopub.status.idle": "2026-10-15T15:58:32.995457Z", "shell.execute_reply": "2026-10-15T15:58:32.995038Z" } }, "outputs": [ { "data": { "text/plain": [ "tensor([0.5000, 0.2500, 0.2500], dtype=torch.float64)" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "thresholds = (0.1, -0.1)\n", "people = torch.tensor([[0.9, 0.5, 0.1], # A: 0 > 1 > 2\n", " [0.8, 0.5, 0.2], # A again\n", " [0.1, 0.5, 0.9], # B: 0 < 1 < 2\n", " [0.5, 0.5, 0.5]]) # C: all about the same\n", "model = torch.tensor([[0.9, 0.5, 0.1], # A\n", " [0.1, 0.5, 0.9], # B\n", " [0.9, 0.9, 0.1], # D: 0 = 1 > 2\n", " [0.1, 0.9, 0.9]]) # E: 0 < 1 = 2\n", "\n", "human = clobe.patterns(people, thresholds)\n", "model = clobe.patterns(model, thresholds)\n", "human.frequencies" ] }, { "cell_type": "markdown", "id": "1f59e4d7", "metadata": {}, "source": "By hand:\n\n- $\\alpha$: A (half of the people) and B (a quarter) are accommodated, C is not: $\\alpha = 0.5 + 0.25 = 0.75$.\n- $\\beta$: there are 19 possible patterns of 3 stimuli (`semiorders(3)`), and people showed 3 of them, leaving 16. The model produces 2 of those 16 (D and E): $\\beta = 2 / 16 = 0.125$.\n- $g = \\sqrt{0.5 \\times 0.25^2 + 0.5 \\times 0.125^2} \\approx 0.198$.\n\nAnd with `psp.clobe`:" }, { "cell_type": "code", "execution_count": 4, "id": "e2977ef7", "metadata": { "execution": { "iopub.execute_input": "2026-10-15T15:58:32.996342Z", "iopub.status.busy": "2026-10-15T15:58:32.996241Z", "iopub.status.idle": "2026-10-15T15:58:32.998888Z", "shell.execute_reply": "2026-10-15T15:58:32.998596Z" } }, "outputs": [ { "data": { "text/plain": [ "GDistanceResult(gdistance=0.19764235376052372, alpha=0.75, beta=0.125, accommodation=tensor([0, 1]))" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "clobe.gdistance(human.inequality_matrices, model.inequality_matrices,\n", " universal=clobe.semiorders(3), weight=0.5, frequencies=human.frequencies)" ] }, { "cell_type": "markdown", "id": "2c2f98dd", "metadata": {}, "source": "`accommodation` lists which human patterns (by their index in `human.inequality_matrices`, from 0) the model produces. The R package returns `alpha`, `beta` and `accommodation` only with `xtdo = TRUE`; here they are always there, and `float(result)` is the g-distance.\n\n## Comparing models\n\nHere are three models of the four-stimulus experiment from [getting-started.ipynb](getting-started.ipynb), where 40 simulated participants respond to four stimuli whose feature $x$ is $-1.5, -0.5, 0.5$ and $1.5$:\n\n- The **linear** model, $p_i = \\sigma(b \\, x_i)$ with $\\sigma(z) = 1/(1 + e^{-z})$, makes the response rate change in one direction across the stimuli: rising for a positive slope $b$, falling for a negative one, flat near zero. It can only produce monotonic patterns. The participants were simulated from this model plus noise, so their patterns include the ones it produces and others that the noise adds.\n- The **quadratic** model, $p_i = \\sigma(b \\, x_i + c \\, x_i^2)$, adds a curvature $c$, so it can also produce U-shapes and inverted U-shapes. It contains the linear model ($c = 0$), so it produces every pattern the linear model does.\n- The **random** model draws each probability independently and uniformly between 0 and 1, 2,000 times. It is not a theory of anything: it stands for a model that can produce almost any pattern, close to the degenerate model of the next section.\n\nEach is evaluated on its parameters (a grid from $-3$ to $3$ in steps of $0.1$ for $b$ and $c$), and its patterns compared with the people's." }, { "cell_type": "code", "execution_count": 5, "id": "cc537241", "metadata": { "execution": { "iopub.execute_input": "2026-10-15T15:58:32.999953Z", "iopub.status.busy": "2026-10-15T15:58:32.999853Z", "iopub.status.idle": "2026-10-15T15:58:33.011601Z", "shell.execute_reply": "2026-10-15T15:58:33.011174Z" } }, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " alpha beta g\n", "linear 0.225 0.037 0.549\n", "quadratic 0.575 0.385 0.406\n", "random 0.975 0.839 0.593" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "g = torch.Generator().manual_seed(2025)\n", "x = torch.tensor([-1.5, -0.5, 0.5, 1.5], dtype=torch.float64)\n", "slopes = 0.5 + torch.randn(40, generator=g, dtype=torch.float64)\n", "p = torch.sigmoid(slopes[:, None] * x + 0.3 * torch.randn(40, 4, generator=g, dtype=torch.float64))\n", "human = clobe.patterns(torch.binomial(torch.full_like(p, 20.0), p, generator=g) / 20, thresholds)\n", "\n", "grid = torch.arange(-30, 31, dtype=torch.float64) / 10\n", "b, c = (t.reshape(-1, 1) for t in torch.meshgrid(grid, grid, indexing=\"ij\"))\n", "models = {\n", " \"linear\": torch.sigmoid(grid[:, None] * x),\n", " \"quadratic\": torch.sigmoid(b * x + c * x**2),\n", " \"random\": torch.rand(2000, 4, generator=g, dtype=torch.float64),\n", "}\n", "\n", "\n", "def score(results):\n", " out = clobe.gdistance(human.inequality_matrices,\n", " clobe.patterns(results, thresholds).inequality_matrices,\n", " universal=clobe.semiorders(4), weight=0.5, frequencies=human.frequencies)\n", " return {\"alpha\": out.alpha, \"beta\": out.beta, \"g\": out.gdistance}\n", "\n", "\n", "scores = pd.DataFrame({name: score(results) for name, results in models.items()}).T\n", "scores.round(3)" ] }, { "cell_type": "markdown", "id": "7d07eb14", "metadata": {}, "source": "### Reading a model off the α-β plane\n\nDome and Wills (2025, Figure 4) plot a model by its excess flexibility $\\beta$ against its accommodation $\\alpha$, beside three reference models. Assume we know everything there is to know about the behaviour, and are testing theories of it:\n\n- **PAS** (Perfect Accommodation and Specificity), at $\\alpha = 1$, $\\beta = 0$: the ideal model, producing every pattern people showed and nothing else; $g = 0$.\n- **anti-PAS**, at $\\alpha = 0$, $\\beta = 1$: the worst possible model, accommodating nothing that is observed and producing everything that is not; $g = 1$.\n- **degenerate**, at $\\alpha = 1$, $\\beta = 1$: accommodates everything that is observed, but also produces everything that is not. It assumes that everything that could in theory be observed is in fact observed, which makes it indistinguishable from an account that human behaviour is unlawful. $g = \\sqrt{1 - w}$, 0.71 for $w = 0.5$.\n\nAny model with a g-distance of $\\sqrt{1 - w}$ or more is no more adequate than the degenerate model: it has **degenerate-level** adequacy, even if it is not degenerate itself. The line of the degenerate level joins every point as far from the ideal as the degenerate model, $w(1 - \\alpha)^2 + (1 - w)\\beta^2 = 1 - w$, which for $w = 0.5$ is $\\alpha = 1 - \\sqrt{1 - \\beta^2}$. Being above it is a minimum threshold for model adequacy; below $\\sqrt{1 - w}$, g-distance is largely comparative. The line is not straight: a model with low accommodation (below about 0.35) can add UMPs faster than it adds accommodations without falling to the degenerate level, while for a model with high accommodation the opposite holds, so keeping a lid on new UMPs matters more as a model gets better at accommodating (Dome & Wills, 2025, footnote 2). The three models above are shown with their g-distance in brackets." }, { "cell_type": "code", "execution_count": 6, "id": "1fc42400", "metadata": { "execution": { "iopub.execute_input": "2026-10-15T15:58:33.012421Z", "iopub.status.busy": "2026-10-15T15:58:33.012319Z", "iopub.status.idle": "2026-10-15T15:58:33.516012Z", "shell.execute_reply": "2026-10-15T15:58:33.515522Z" } }, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": { "image/png": { "height": 753, "width": 605 } }, "output_type": "display_data" } ], "source": [ "colours = {\"linear\": blue, \"quadratic\": orange, \"random\": aqua}\n", "markers = {\"linear\": \"o\", \"quadratic\": \"^\", \"random\": \"s\"} # a second cue besides colour,\n", "styles = {\"linear\": \"-\", \"quadratic\": \"--\", \"random\": \"-.\"} # for print and colour-blind readers\n", "w = 0.5\n", "\n", "\n", "def g_of(alpha, beta):\n", " return math.sqrt(w * (1 - alpha) ** 2 + (1 - w) * beta**2)\n", "\n", "\n", "def label(ax, text, beta, alpha, offset):\n", " ax.annotate(text, (beta, alpha), xytext=offset, textcoords=\"offset points\", ha=\"center\",\n", " va=\"center\", color=ink, fontsize=11,\n", " bbox={\"boxstyle\": \"round,pad=0.35\", \"facecolor\": \"white\", \"edgecolor\": ink,\n", " \"linewidth\": 1},\n", " arrowprops={\"arrowstyle\": \"-\", \"color\": ink, \"linewidth\": 1.5,\n", " \"shrinkA\": 0, \"shrinkB\": 7})\n", "\n", "\n", "fig, ax = plt.subplots(figsize=(7, 7.4))\n", "ax.axhline(0, color=ink, linestyle=(0, (1, 3)), linewidth=1.5, zorder=1)\n", "\n", "# the degenerate level: w (1 - alpha)^2 + (1 - w) beta^2 = 1 - w\n", "beta = np.linspace(0, 1, 400)\n", "alpha = 1 - np.sqrt((1 - w) * (1 - beta**2) / w)\n", "ax.plot(beta, alpha, color=muted, linewidth=1.2, zorder=1) # the degenerate model's level\n", "middle = 230\n", "angle = ax.transData.transform_angles(\n", " np.array([np.degrees(np.arctan2(alpha[middle + 1] - alpha[middle - 1],\n", " beta[middle + 1] - beta[middle - 1]))]),\n", " np.array([[beta[middle], alpha[middle]]]))[0]\n", "ax.text(beta[middle], alpha[middle], \"degenerate level\", rotation=angle, rotation_mode=\"anchor\",\n", " ha=\"center\", va=\"center\", color=muted, fontsize=11, zorder=2,\n", " bbox={\"boxstyle\": \"square,pad=0.15\", \"facecolor\": \"white\", \"edgecolor\": \"none\"})\n", "\n", "for name, (b, a), offset in [(\"PAS\", (0, 1), (30, -52)), (\"degenerate\", (1, 1), (-58, -52)),\n", " (\"anti-PAS\", (1, 0), (-50, -52))]:\n", " ax.plot(b, a, \"o\", color=reference, markersize=15, markeredgecolor=ink, markeredgewidth=1.5,\n", " zorder=3)\n", " label(ax, f\"{name} ({g_of(a, b):.2g})\", b, a, offset)\n", "\n", "for name, row in scores.iterrows():\n", " ax.plot(row.beta, row.alpha, markers[name], color=colours[name], markersize=14, markeredgecolor=\"white\",\n", " markeredgewidth=2, zorder=4)\n", " if row.beta > 0.5 and row.alpha > 0.75: # beside the degenerate model: label to the left\n", " offset = (-105, -6)\n", " else:\n", " offset = (-62 if row.beta > 0.5 else 62, -38 if row.alpha > 0.5 else 38)\n", " label(ax, f\"{name} ({row.g:.2f})\", row.beta, row.alpha, offset)\n", "\n", "ax.set(xlim=(-0.05, 1.05), ylim=(-0.22, 1.08), aspect=\"equal\", xlabel=\"β\", ylabel=\"α\",\n", " xticks=[0, 0.25, 0.5, 0.75, 1], yticks=[0, 0.25, 0.5, 0.75, 1])\n", "ax.xaxis.label.set_size(16)\n", "ax.yaxis.label.set(size=16, rotation=0)\n", "ax.set_title(\"Models on the α-β plane\", pad=26)\n", "ax.annotate(\"g-distance in brackets, w = 0.5\", xy=(0, 1), xycoords=\"axes fraction\", xytext=(0, 6),\n", " textcoords=\"offset points\", color=muted, fontsize=11, va=\"bottom\")\n", "show(fig, \"alpha-beta-plane\")" ] }, { "cell_type": "code", "execution_count": 7, "id": "2eedcdc0", "metadata": { "execution": { "iopub.execute_input": "2026-10-15T15:58:33.517155Z", "iopub.status.busy": "2026-10-15T15:58:33.517051Z", "iopub.status.idle": "2026-10-15T15:58:33.520354Z", "shell.execute_reply": "2026-10-15T15:58:33.519988Z" } }, "outputs": [ { "data": { "text/markdown": "- The **linear** model hardly produces anything nobody did (β = 0.04), but it accommodates only 22% of people, because it cannot produce their patterns.\n- The **random** model accommodates 98% of people, but only because it also produces most of the patterns nobody showed (β = 0.84).\n- The **quadratic** model lies between them. Here it is the closest to the ideal.\n\ng-distance rewards models that are flexible in the *same way* people are, not simply more or less flexible.", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "s = scores.round(2)\n", "best = scores.g.idxmin()\n", "display(Markdown(\n", " f\"- The **linear** model hardly produces anything nobody did (β = {s.beta.linear}), but it accommodates only \"\n", " f\"{round(100 * scores.alpha.linear)}% of people, because it cannot produce their patterns.\\n\"\n", " f\"- The **random** model accommodates {round(100 * scores.alpha.random)}% of people, but only because it also \"\n", " f\"produces most of the patterns nobody showed (β = {s.beta.random}).\\n\"\n", " f\"- The **quadratic** model lies between them. Here it is \"\n", " f\"{'the closest to the ideal' if best == 'quadratic' else 'a compromise'}.\\n\\n\"\n", " \"g-distance rewards models that are flexible in the *same way* people are, not simply more or less flexible.\"\n", "))" ] }, { "cell_type": "markdown", "id": "bcfb7ea5", "metadata": {}, "source": "### How the weight changes the verdict\n\n$w$ sets how much missing people's patterns counts against producing patterns nobody showed. The same three models, for every weight from 0 (only excess flexibility counts) to 1 (only accommodation counts):" }, { "cell_type": "code", "execution_count": 8, "id": "50d0de6e", "metadata": { "execution": { "iopub.execute_input": "2026-10-15T15:58:33.521403Z", "iopub.status.busy": "2026-10-15T15:58:33.521307Z", "iopub.status.idle": "2026-10-15T15:58:33.933650Z", "shell.execute_reply": "2026-10-15T15:58:33.933255Z" } }, "outputs": [ { "data": { "image/png": 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JRd28o6KiyhXvkSNH5OXlpYiICHl5eTm9bVl1lnYOnHXo0CHl5uZKkmJjY4vVk5ubq5SUFBUUFKh+/fplxl3RYzz5dzg5kZNUNIt1ST0FTv97pqSkKDMzU5IUHR2t4OBgp/Z50okTJ5SVlaXo6Gj5+PiUa1ugKji6v1ksFqWmpiorK0uRkZEOPy8cP35c2dnZioiIkL+/f6XGcvIeFRwcXClDY6Smphr3l8pUWFio1NRU+fj4KCIiolyf1xydg5OfBaOiopy6xxQWFiolJUUhISFMaAdUJ1YAAKoRSca/Y8eOVahMQkKC8XxQUJDx+LRp06xDhgyx+vn5Gc8HBARYhw4dap09e3a5Y121apX1lltusTZs2NAuJj8/P2v//v2tH330kTU3N9epuiwWi3XOnDnW66+/3hofH29XX1BQkHXgwIHWTz75xJqXl+ewrtKO/7vvvrMOHTrUGhAQYDx/7rnnlvu4AXcoKCiwfvDBB9Zu3bpZTSaT8ZqNjY213nbbbdZt27ZZrVar9a233jKeGzduXKn1eXl5Oby32HrllVeM8rfeeqvD8rt377Y+9dRT1i5dutjty2w2Wzt27Gh97LHHrIcOHXL28K1Wa+Wfgx49ehjl/vzzT6vVarWuWbPGetNNN1nj4uLs7jslxVoZx2h7/3X0b+zYsXbbjho1ynhu0qRJDs/f0aNHrS+//LK1d+/exfYbGRlp7dOnj/WVV16xbtmyxWFdQFUo6do+fvy49fnnn7e2b9/e7jp86623im2fkZFh/eyzz6xDhw61hoaG2l0DdevWtV511VXWRYsWVTiWzMxM6yuvvGJt27at1Ww2G8/Xrl3betttt1kTEhLKdbyLFi2yjho1yhoYGGjU5e/vbx06dKh1+vTpVqvVaj106JDd5y1nHDp0yProo49a27RpY3cv9fX1tfbp08c6ceJEa05OToXOwbFjx6xPPvmktVmzZkbdZrPZ2qpVK+v//d//FfsceOLECeuECROsbdq0sXp7exv1NW/e3DphwgSnPucBcC0SpQCAasUVidKsrCy7L9il/XvppZecijErK8s6btw4uw/bpf1r3ry5ddOmTWXWN2vWLGunTp2cShy0adPGunPnzjLrO/34T5w4YR00aFCJ9fXq1cupYwbcKTU11S6pV9K/gIAA61dffVXlidL9+/dbr776arskQWn/AgMDrd9//32VnYPTE6Uvv/yy3Rd1238HDx50yTG6K1E6adKkYomh0v4NGzbMqb8J4G6nX9uLFy+21qtXr8TX8Ztvvmlsl5eXZ50wYYI1MjLSqWvghhtucPjD7umxrF+/3tq0adMy642IiLAuWbLEqWN9/PHHHX6uuvLKK6379+831p1JlH7yySfWoKAgh+cgPj7eumrVqnKdg2XLllnr1q1bZr2DBw+2ZmZmWq1Wq3XdunUOz9mAAQOs2dnZTp0zAK5B13sAwFnNarXqiiuu0K+//mo8drLr6skupic98cQT6tKliy644IJS68vKytL555+vZcuW2T0eEBCgiIgI5ebm6siRI8bj27dv13nnnacVK1aoSZMmJdY5fvx4rVmzxlg3mUwKCwtTUFCQjh49atdFddOmTRo4cKDWrFmj8PBwp45/zJgxmjVrlvFYaGioMTxAbGyswzoAd8rOztbAgQO1du1au8cDAwMVFham1NRU5efnKzs7WzfccIOGDh1aNYH+59tvv9U333xj91hgYKAiIiKUlZVldN+Xiu4fV1xxhcLDwzV48OBS63THOZg0aZKmTZtmrPv5+Sk6Olre3kVfD2yHJqjMY4yPj1dubq6SkpKUk5MjqagbfUndTmvVqlXu45KK7uUvv/xyscdPDmVy5MgRYwgCoKbYs2ePLrroIuMzhtlsVmRkpHHt2HZ3P3DggB5++GG77b29vRUVFSWr1aojR46osLDQeO6zzz6TyWTSJ5984lQs+/bt0+DBg3X48GFJkpeXl1F3SkqKUe7YsWO6/PLLtWnTpjKHBXjmmWeKXbPe3t6Kjo5Wenq6MeTGd999Z9w3nPHuu+/qnnvusXvMbDYrOjpaubm5OnHihN0x9e3bV7Nnz1a3bt0c1r13714NHz7cOF4fHx9FR0crIyND6enpRrmZM2fqscce08MPP6wBAwYoNTXV7viys7Pt4vj333/1zDPP6LXXXnP6OAFULhKlAPAfi8WqhKP5yi+0VnUo1YKPl0n1I31kNp/ZWJtVLSsrS7/++qt8fX31yCOP6OabbzbG7MzKytLkyZN13333GR/Cn3vuuTITpbfffruRJA0MDNR9992nq6++Wi1btjTGuUpNTdWUKVP07LPP6siRIzp27JjGjh2rpUuXllqvn5+fxowZo6uuukrnnnuuMfae1WrVli1b9Nlnn2nixInKz8/X3r179fTTT2vixIlOHf9ff/0lLy8v3XvvvbrjjjtKTdhCsqQdlSXjmOOClcAUECyvCOcT1YXHkmTNznBhRKeYgyNkDo10y75O99RTT9klCAcNGqQXX3xR3bt3lyTl5OTo119/1SOPPKJ9+/ZpxowZVRLn6c4991zdfPPNGjBggOrVq2c8npKSop9//lnPP/+8EhMTZbVaddNNN2n37t1GUvJ07jgHJ5Ok/fr107PPPqvzzjvP4TijlXGM27ZtkyQNGTJEf//9t6SiZMYVV1xR7mMoyZQpU+wSLuHh4Xr44Yd1xRVXqHHjxsbjR48e1caNG/XHH3/YJYxwSmpuho7kZlZ1GBUS4x+iCN9Ap8vvyTiiPEtBic9F+QUp2q984+G6wvz58yVJtWvX1gsvvKBRo0Y5/MG0Tp06uvXWWzV8+HB17NjR+AEkJydHixYt0muvvWb8kPrpp5/q2muvVZ8+fRzGMnfuXElSo0aN9MILL+jiiy82ErWJiYl67rnnjKRrYmKiPvnkEz3wwAMl1rV8+XK9+OKLxnrdunX12muvaeTIkQoMLPobrl69Wk8//bR+//13TZ8+3WF8krRmzRo9+OCDxnpYWJief/55XXPNNca4p7t27dKbb76pDz74QFarVRkZGbryyiu1bt06h2OGzps3T5LUsmVLvfLKKxoyZIgx7uvSpUt1yy23aMOGDZKkDz74QPPmzVNqaqqaNGmiV199VcOGDTPGiV65cqVuvvlm474/ceJEPfbYY079IA6g8pEoBeDxLBarJs07os/nH1F6jqWqw6lWQvzNuqFPlG7uF3XGkxNVJR8fH/3111/q37+/3eOBgYG66aabFBERocsuu0yStGTJEh04cEB169YtVs/SpUv11VdfSZKioqI0d+5ctW3btli56Oho3XXXXRo6dKh69uyp1NRULVu2TDNnziyxhdXw4cM1bdq0EiddMplMat26tV5//XX1799fF110kaxWq7744gu9+uqrxpcIR7799luNGTPGqbKeLHv+T8r+fZJb9uXX40KFXPec0+Wzfnlfucv+cGFEpwQMu1lBw29xy75spaSk6N133zXWx4wZo8mTJ9u1bvT399fo0aPVp08f9erVS3v27HF7nLYaNWqkv//+u9QWorVq1dLNN9+sESNGqEePHtq7d68SEhI0Y8YMjRw5slh5d56DK664Qt98843DBGllH6Or5Obm2iVGGjZsqH/++afEH4ciIyPVp08fp5JCnurL3cv01rbZVR1GhTzbbphuatLL6fI3LvtG29OTS3zu/hbn68FWAyortDNSp04dLV26VPXr1y+znK+vr5577jmNHz9evr6+xZ739/fXgAEDdP755+umm27SZ599Jkl67733nL4mWrdurQULFigy0v5HtXr16mnSpEnKyMjQlClTJEk//fRTqYnSZ555RhaLxTi+xYsXF/s81LlzZ82YMUM33nijPv/8c6fie+aZZ5Sfny+pqCfN/Pnz1b59e7syTZo00XvvvafWrVvrrrvuklSUPP3kk0907733OtxH+/bttWDBgmKtZXv27Kk///xTzZs3V1ZWlvLz87Vu3Tq1bNlSixcvLjZBVdeuXY3y6enpysnJ0e+//66xY8c6dawAKteZT/MLADXcR3NSNXFmCknSEqTnWPTOzBR9ODu1qkM5I/fdd1+xJKmtUaNGqWHDhsb66tWrSyz35ptvGssTJkwoMUlqq0mTJnriiSeMddvu/7aeffbZEpOkpxs2bJgGDRokSUpPT9fKlSsdbiNJo0ePJkmKGuGbb75RXl6epKIfIz788MNSZ6ePi4vT+++/787wSjRmzJgyu9GfFBMTo8cff9xYnzNnTonl3HUOwsPD9fHHHzs1W31lH6OrTJkyRQcPHpRU9CPTjz/+SAt6nFXefvtth0lSqSjh+PTTT5eYJLVlMpk0YcIEo+X3yZaizvjss8+KJUlt2f5osXbtWiMZauvAgQOaOXOmsf7OO++U+nnIZDLp3XffVZ06dRzGdvDgQf3+++/G+ksvvVQsSWrrzjvvtBvC5KOPPnK4D6moFW5pQwrUrVtXw4cPt3vso48+KpYkPSkuLk6XXHKJsV7aZ1EArkeLUgAeLTffoq8WHq3qMKq9rxYe1Q19ouTnUzN/Xxs3bpzDMl26dNHevXslyRhzy5bFYjG6p5lMJp1zzjlKTEyUVNQ9/qTTl227eq5YscLpmLOzs5Wenq7s7Gy7OuPj443ldevWOdXy46abbnJ6v0BVOtmVUZKuuuoqh90OhwwZoqZNm2rnzp0ujqx8CgoKlJaWpoyMDLvkgO2Ym+vWrStxW3edg9GjR9uNaVheZ3KMrnKyK78kXXjhheratatb9w+4UkREhC699NIKb3+ya3l6errxY8xJcXFxSkxMVHJysg4dOqTatWuXWVfLli3Vo0ePMst07NhRXl5eKiwsNMbhPD1JuGDBAuP+ERcX57AFelBQkK6//nq99NJLZZazrTc4OFg33HBDmeWloh/V//zzT0nSli1blJycrJiYmFLLt2zZ0uE9pkOHDvqZB0tZAAAPjElEQVThhx8kSfXr13f4ma1jx476+uuvJZX8WRSAe5AoBeDRsvMsSqMlqUNpORZl51lqZKLUbDarVatWDsvZtoqwHYT/pK1bt+r48eOSir5sOFPn6WwnODhdXl6evvvuO02dOlWrVq0yWkWV5ehR55L8J8c1BKo728Sas90/+/TpUy0SpQsWLNDXX3+tBQsWaMeOHQ7HvSzt+nXXOajIfaGyjtFVbFvZV/UkX0Bl69Kli1MtwG0lJibqiy++0B9//KENGzYoI8PxONdHjx51mCht06aNw3q8vb0VGhpqTPaWnp5eLFFqe78799xznTq+vn37OkyU2tbbvXt3p4Yp6tOnj3x8fIzu+uvWrTN68ZTEmXNg+0NX69aty1W+pM+iANyDRCkAjxbga1aov5lkqQOh/mYF+Na8JKlUNBt9ad1WbdmWKal7WFJS0hnHkpWVVeLjq1at0pgxY7Rr165y1efMFx4fHx+FhYWVq16gqpyczVmybz1dFmeGrXCljIwMXXvttU5PMGK7XUncdQ7KM6N8ZR+jq9j+GNW0aVO37htwtfJcs1LRJGmPPvqosrOzy7WdM9ftyQknHXH02cpV9zvbem2HViqLv7+/YmNjjd5CtnWUxJlzYHv85S1f0vkC4B4kSgF4ND8fs649L1L/90/NHoPT1a49L7JGtiatTGlpacayt7d3iZM9OVLSl5w9e/bo/PPPt6v/pJCQEAUFBcnPz8947Pjx4zpx4oQk+27+pXE0PhlQndh+oXd2ojJHMxO7ktVq1YgRIzR7dvEJb/z8/BQWFiY/Pz/jy29eXp4OHTpkbFsSd50DZ+8NrjhGV7FN8FTl6wJwhfK8n3/88ce65557ij1uNpsVEREhf39/Y1xSqWis0IKCAknuvW5ddb+z/WHa2XpPr7u0H7cBnP1IlALweLf2j5aX2aTP5x+hZelpQv3Nuv6/We89ne1g/QEBAcZ4pmfqiSeeMJKkAQEBuu+++3TJJZeobdu2JX64f/zxx/XKK69Uyr6B6iYkJMToplnSjwclcbZceTmTLJg+fbpdAnHEiBG6+eab1a1btxLHtlu9erW6dOlSZp3V6RxIrjlGVwkPD1dqatEPnyeHSgE8TXZ2th555BFjvWnTpnrkkUfUr18/NW7cuMTu7c2bN9eOHTvcGaYk2Y2TXJn3O9vPbOW5P578IVoSvXEAD0aiFIDHM5tNuqV/tG7qG6WEo/nKL3RvC5jqysfLpPqRPjKbTVUdSrVgO15Xenq6du/ebTdRU0UUFBRoxowZxvqUKVN08cUXl7lNcnLyGe0TZQvoc5n8Og9wy75MAc51XTwpcMQdChh8rYuisWcOLnlWXleLi4szkoRbt27VOeec43CbLVu2OFW3t7e3MabmyZZTZXFmfM1p06YZy9dcc42++uqrMss7c/268hxUhCuO0VXq1KljJErXrVtXbMZplM+4xj00vG7bqg6jQmL8yzdR2ac9rlaepeT7QpRfzWqd/O+//xoJv9jYWC1btqzM2emlssdQd6W4uDhjeevWrU5t48z9LjY21ljevHmzU/UeO3bMbgIl2zoAeBYSpQDwH7PZpPhouimjZC1atFBMTIyRBPjuu+/0xBNPnFGdSUlJRlfR0NBQh0lSyX5GbFQ+c2ikzKFlf6GsKl4RsVLE2f3FrWvXrsaX4L///lvXX399meXz8vI0d+5cp+oODQ01kgFJSUmKjo4us/yyZcsc1mk7rvA111zjsLwzsbryHFSEK45Rsh+Lr7K6+p533nlav369JGnq1KlnfI/2dNF+wYr2K98POjVVo+Czp+eM7TU7bNgwh0nStWvXVlkLbNtZ4xcvXqyMjAyHY3n+/fffDuu1naxu7dq1OnTokMMJqn7//Xdj2dvbW506dXK4HwBnJ88ecA4AACeZTCaNGDHCWH/99de1f//+ctVx+gzRtq3aCgsLHc4gPXny5GoxuzfgKoMHDzaWp0+f7rAr6CeffGK0IHTEdkKPOXPmlFl21apVWrhwocM6ba/hvLy8MssmJSXpo48+clinK89BRbjiGCX7cQMra3Zn23v0mjVrNHny5EqpF6hJynPNStILL7zgynDKdN555xn3goyMDL3//vtllk9ISHDquj733HON8UYLCgr02muvlVk+Pz/frozt9gA8D4lSAACcNH78eGPyg+PHj2vw4MFOdQGbP3+++vbtqw0bNtg9HhcXZ0zUlJmZqUmTJpVaxz///KNbb731DKIHqr/LLrtMUVFFLbvy8vI0evToUrvAL1q0SI8++qjTddt2YZ8wYUKpMxrv3r1bo0ePdqqVo23y9d133y31x47Dhw9r+PDhTrXacuU5qAhXHKNkP5zJ2rVrzyDCUwYPHmzXCuyWW27RL7/84nC73NzcStk/UB3YXrO//vqrdu/eXWI5i8WiRx991G54DXcLDQ3VFVdcYaw/++yz+vfff0sse+LECY0ePVqZmZkO6w0JCdG4ceOM9XfffVdff/11iWULCwt18803a+PGjcZjJU2EBcBz0PUeAAAnNW7cWK+99poefPBBSdK2bdvUsWNHXX755Ro+fLhatmyp4OBgpaWlKSEhQUuWLNH06dO1ffv2Euvz8/PTkCFDjC/yd955p+bNm6err77a+KKzbds2/fDDD/rxxx9lsVhkMpncPpM04C7+/v565ZVXdMstt0gqSqC1adNGDz74oPr166fQ0FAlJiZq2rRp+vjjj5Wfn+/0NXHttddq4sSJkqT9+/erW7duGj9+vM455xz5+fkpMTFRf/75pz766COlp6c7Ve+IESP0008/SSrqDtqtWzfdc889atOmjcLCwnTw4EHNnDlTH374oY4dO+ZUna48BxXhimOUZDfh0+eff67mzZurX79+CgsLk8lUNDZ2cHCwwyESTvfpp5+qV69eysnJUWZmpi655BINGTJEY8aMUfv27RUSEqIjR47o0KFD2rhxo/744w/FxMQ4lVAFaoIBAwYoKChImZmZSktLU7du3XT33Xerf//+ql27ttLT07V8+XJ9/PHHxo8UVfnZ4vnnn9fUqVN14sQJZWdn64ILLtCNN96oyy+/XA0aNFB6eroWLFig119/XQcOHHA61meeeUZTp05VUlKSLBaLrr32Wv3yyy+69tpr1bx5c+Xl5WnVqlWaOHGi3Y81gwYN0siRI114xACqPSsAANWIJOPfsWPHKlQmISHBeD4oKMip/d56663GNhMmTCiz7Pjx4+1icPbfhg0bitW1fv16a0BAgFPbN2vWzC7OBx98sMT4KnL8QHUyduxYp66J6Oho67333musjxs3rsx6r7nmGqfqbdSokV29t956a4n1FRQUWLt27epUnd7e3tZXX33VWI+Pj3f7OejRo4dR7s8//3TwV3DtMR47dswaEhJSZn1jx46122bUqFHGc5MmTSq17qlTp1r9/f2dvjcPGzbMqXMBuNtbb73l9P3Nlu116OjfzTffbG3RooWxvmTJkkqLJSoqythmz549pZabNm2a1dvb26l4X3zxRWPZz8+vzP3PmzfP4X3G9l/r1q2thw8fLrW+8p6DDz74wCg/atQoh+U///xz7ktANUDXewAAyumVV17RL7/8opYtWzosazKZNGDAAC1YsEBt2xafPbhdu3b65ZdfjK62pRk4cKD+/fffcreuAmqiL7/8Uvfff7/dhD+na9mypWbNmmXXzdSRjz76yGFLod69e2vOnDl2szGXxsvLSzNmzFCvXr3KLFe3bl3NmDFDF1xwgdOxuuoclJerjjE8PFyfffaZ/P39KyNMO5deeqkWLFhgN6FLWVwRA1CVHn30UT322GNG6+ySeHt76/HHH9cHH3zgxshKNnLkSE2bNk0xMTGllgkICNAHH3ygG2+80el6+/Tpo/nz56tz585lljOZTBozZowWLlzIbPcA6HoPAKhe4uPjjeXSEgSOynh7extlnB2MPyoqytgmLCzMYfmLL75Yw4cP16xZs/TPP/9ozZo1SklJUVZWlsLDw9WkSRP17NlTl1xyicMkxqBBg7Rjxw59+umn+ueff4xJomJiYtSuXTuNHDlS559/viQpIiLCiLO0mWwrcvxAdeLl5aU333xT119/vb788kstXbpUKSkpCgsLU8OGDTVixAiNGjVK/v7+5ZrxPSAgQNOmTdOsWbM0ZcoUrV+/XidOnFBUVJRatGihyy67TBdeeKHMZrPCwsKM66isHzLi4uK0YMECTZ8+XVOnTtWWLVuUmZlp3FMuvPBCXXrppQoODtbmzZuNOuvVq1dp52D16tVGvWX9mFK7dm2jXEBAgNPnzVXHeNlll6lr16764osvtGzZMiUmJiozM1MWi0WSVKtWLbvyMTExRt0hISFl1t21a1ctW7ZMc+fO1R9//KFVq1YpOTlZ+fn5qlWrlmJiYtS+fXsNGTJE3bp1c/pcAO4UGhrq1LVdkpdffllXXnmlPvvsMy1btkypqakKCgpSXFycevfurTFjxqhJkyaSin7oyMnJkSRj7PTKiKVBgwbGLPYnx3gvzUUXXaRt27bpq6++0p9//qmEhASZTCbVqVNH/fr109ixY9WgQQOlpKQYcZQWq62OHTtq5cqV+uuvv/Tbb79p/fr1SklJkY+Pj2JjY9WrVy+NGjVKHTp0cFhXec9BSEiIUb6sJPBJwcHBRnkStkDVMVmtDHQGAACAmuntt9/W/fffL0kaN26cvvjii6oNCAAAADUWXe8BAAAAAAAAeDwSpQAAAAAAAAA8HolSAAAAAAAAAB6PRCkAAAAAAAAAj0eiFAAAAAAAAIDH867qAAAAAICKCg0NVXx8vCQpOjq6iqMBAABATWayWq3Wqg4CAAAAAAAAAKoSXe8BAAAAAAAAeDwSpQAAAAAAAAA8HolSAAAAAAAAAB6PRCkAAAAAAAAAj0eiFAAAAAAAAIDHI1EKAAAAAAAAwOORKAUAAAAAAADg8UiUAgAAAAAAAPB4JEoBAAAAAAAAeDwSpQAAAAAAAAA8HolSAAAAAAAAAB6PRCkAAAAAAAAAj0eiFAA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"text/plain": [ "
" ] }, "metadata": { "image/png": { "height": 591, "width": 677 } }, "output_type": "display_data" }, { "data": { "text/markdown": "The model closest to the ideal is the **linear** model for w from 0.00 to 0.26, the **quadratic** model for w from 0.26 to 0.76, the **random** model for w from 0.76 to 1.00. Where the verdict depends on the weight, it is worth stating the range of weights one finds plausible, rather than a single value (Dome & Wills, 2025).", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "weights = np.linspace(0, 1, 201)\n", "curves = {name: np.sqrt(weights * (1 - row.alpha) ** 2 + (1 - weights) * row.beta**2)\n", " for name, row in scores.iterrows()}\n", "fig, ax = plt.subplots(figsize=(7, 4.8))\n", "ax.plot(weights, np.sqrt(1 - weights), \":\", color=muted, linewidth=1.5)\n", "ax.annotate(\"degenerate level\", (0.08, math.sqrt(1 - 0.08)), xytext=(0, 6), textcoords=\"offset points\",\n", " color=muted, fontsize=10)\n", "for name, g in curves.items():\n", " ax.plot(weights, g, color=colours[name], linestyle=styles[name], linewidth=2.4, label=name)\n", " ax.annotate(name, (1, g[-1]), xytext=(6, 0), textcoords=\"offset points\", color=ink, va=\"center\")\n", "ax.axvline(0.5, color=light, linewidth=1, zorder=0)\n", "ax.set(xlim=(0, 1.18), ylim=(0, 1.05), xticks=[0, 0.25, 0.5, 0.75, 1],\n", " xlabel=\"weight of accommodation, w\", ylabel=\"g-distance\")\n", "ax.legend(loc=\"upper center\", bbox_to_anchor=(0.5, -0.17), ncol=3)\n", "titled(ax, \"g-distance by weight\", \"lower is better; Equation 3 of the paper is w = 0.5\")\n", "show(fig, \"by-weight\")\n", "\n", "best = pd.Series([min(curves, key=lambda n: curves[n][i]) for i in range(len(weights))], index=weights)\n", "spans = []\n", "for name, group in best.groupby((best != best.shift()).cumsum()):\n", " spans.append(f\"the **{group.iloc[0]}** model for w from {group.index[0]:.2f} to {group.index[-1]:.2f}\")\n", "display(Markdown(\"The model closest to the ideal is \" + \", \".join(spans) + \". Where the verdict \"\n", " \"depends on the weight, it is worth stating the range of weights one finds plausible, \"\n", " \"rather than a single value (Dome & Wills, 2025).\"))" ] }, { "cell_type": "markdown", "id": "ccb9bd17", "metadata": {}, "source": "## Things to know\n\n- **Patterns are counted once.** If the model produces a pattern at many parameter settings, it still counts once in $M$. The same holds for $H$ in $\\beta$.\n- **Give each human pattern once, with frequencies that sum to 1.** `frequencies` must have exactly one value per matrix in `human`, or `gdistance()` raises an error. $\\alpha$ adds up the frequency of every accommodated matrix, so a pattern that appears twice in `human` would be counted twice. `gdistance()` warns if `human` repeats a pattern or if the frequencies do not sum to 1 (for example, because they are counts rather than proportions). `patterns()` returns the distinct patterns with frequencies that sum to 1, so its output can be passed straight in.\n- **Only the upper triangle matters.** Two matrices are the same pattern if their cells above the diagonal agree. Those cells can hold any numbers, so you can code relations your own way, but not missing values: NaN is not equal to anything, not even another NaN, so `gdistance()` rejects it.\n- **When people show every possible pattern**, $|U| - |H| = 0$ and $\\beta$ cannot be computed. `gdistance()` then warns, sets `beta` to NaN and uses accommodation alone.\n- **The universal set must match how patterns were built**: the same thresholds, the same `ordering`, and a measurement scale that can produce them. [universal-set.ipynb](universal-set.ipynb) explains how to get it right.\n- **The model's patterns can come from a parameter space partitioning run**: `gdistance()` takes `PSPResult.ordinal_patterns` as it is (see the end of [getting-started.ipynb](getting-started.ipynb)).\n\n## Near misses\n\n$\\alpha$ treats a missed pattern as missed, however close the model came. `pattern_distance()` tells you how close that was. Its default adds up the differences between the two patterns, pair by pair:\n\n$$\nd(a, b) = \\sum_{i < j} |a_{ij} - b_{ij}|.\n$$\n\nWith the usual coding of 1, 0 and -1, this is the distance between rankings of Kemeny and Snell (1962), applied to inequality matrices (see the appendix): it adds 1 for every pair of stimuli that is ordered in one pattern and about the same in the other, and 2 for every pair whose order is reversed. If you code relations in more levels, for example -2 (much smaller) to 2 (much larger), it adds the number of levels between the two relations. If your codes are just labels without an order, use `method=\"hamming\"`, which counts the pairs that differ.\n\nIn the worked example, the model missed pattern C (all three stimuli about the same). How close did it get?" }, { "cell_type": "code", "execution_count": 9, "id": "99197b2a", "metadata": { "execution": { "iopub.execute_input": "2026-10-15T15:58:33.934954Z", "iopub.status.busy": "2026-10-15T15:58:33.934854Z", "iopub.status.idle": "2026-10-15T15:58:33.939253Z", "shell.execute_reply": "2026-10-15T15:58:33.938895Z" } }, "outputs": [ { "data": { "text/plain": [ "(tensor([[0., 6., 1., 5.],\n", " [6., 0., 5., 1.],\n", " [3., 3., 2., 2.]], dtype=torch.float64),\n", " tensor([0., 0., 2.], dtype=torch.float64))" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "human = clobe.patterns(people, thresholds)\n", "model = clobe.patterns(torch.tensor([[0.9, 0.5, 0.1], [0.1, 0.5, 0.9],\n", " [0.9, 0.9, 0.1], [0.1, 0.9, 0.9]]), thresholds)\n", "distances = clobe.pattern_distance(human.inequality_matrices, model.inequality_matrices)\n", "distances, distances.min(dim=1).values" ] }, { "cell_type": "code", "execution_count": 10, "id": "3e0d914c", "metadata": { "execution": { "iopub.execute_input": "2026-10-15T15:58:33.940222Z", "iopub.status.busy": "2026-10-15T15:58:33.940119Z", "iopub.status.idle": "2026-10-15T15:58:34.337922Z", "shell.execute_reply": "2026-10-15T15:58:34.337428Z" } }, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": { "image/png": { "height": 484, "width": 578 } }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize=(6.4, 4.6))\n", "ax.imshow(distances.numpy(), cmap=\"Blues\", vmin=0, vmax=6)\n", "for (r, c), d in np.ndenumerate(distances.numpy()):\n", " ax.text(c, r, f\"{d:g}\", ha=\"center\", va=\"center\", fontsize=13,\n", " color=\"white\" if d >= 4 else ink)\n", "ax.set(xticks=range(4), xticklabels=[\"A\", \"B\", \"D\", \"E\"], yticks=range(3), yticklabels=[\"A\", \"B\", \"C\"],\n", " xlabel=\"model pattern\", ylabel=\"human pattern\")\n", "ax.grid(False)\n", "ax.xaxis.set_label_position(\"top\")\n", "ax.xaxis.tick_top()\n", "ax.set_title(\"Kemeny distances\", pad=40)\n", "show(fig, \"near-misses\")" ] }, { "cell_type": "markdown", "id": "96561ffb", "metadata": {}, "source": "Each row is a human pattern and each column a model pattern. A and B are matched exactly (distance 0). The closest the model comes to C is a distance of 2: patterns D and E each tie two of the stimuli, as C does, but separate the third." }, { "cell_type": "markdown", "id": "775ed8df", "metadata": {}, "source": "## Appendix: the Kemeny-Snell distance\n\nKemeny and Snell (1962) asked what a distance between two rankings should satisfy, set out four axioms (the properties of a metric, invariance to relabelling the objects, consistency when two rankings differ only on a segment, and a minimum positive distance of 1), and showed that exactly one distance satisfies them all. Written with the score matrices of the rankings, where $a_{ij}$ is $1$, $-1$ or $0$ as object $i$ is ranked above, below or tied with object $j$, it is\n\n$$\nd(A, B) = \\frac{1}{2} \\sum_{i=1}^{m} \\sum_{j=1}^{m} \\left| a_{ij} - b_{ij} \\right|\n$$\n\n(Amodio, D'Ambrosio & Siciliano, 2016, Equation 4). A score matrix is antisymmetric, $a_{ji} = -a_{ij}$, so the cells below the diagonal repeat those above, and the half of the double sum is the sum over the cells above the diagonal: what `pattern_distance()` computes from inequality matrices. Kemeny and Snell defined the distance for rankings, which are weak orderings; applying it to semiorders that are not weak orderings is an extension made by clobe.\n\n## References\n\nAmodio, S., D'Ambrosio, A., & Siciliano, R. (2016). Accurate algorithms for identifying the median ranking when dealing with weak and partial rankings under the Kemeny axiomatic approach. *European Journal of Operational Research, 249*(2), 667-676. https://doi.org/10.1016/j.ejor.2015.08.048\n\nDome, L., & Wills, A. J. (2025). g-Distance: On the comparison of model and human heterogeneity. *Psychological Review, 132*(3), 632-655. https://doi.org/10.1037/rev0000550\n\nKemeny, J. G., & Snell, J. L. (1962). *Mathematical models in the social sciences*. Ginn." } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.14.4" } }, "nbformat": 4, "nbformat_minor": 5 }