Neo-Prometheus: Agent-Oriented Modeling for the Collective

NetLogo models and simulation results for the article "Neo-Prometheus: Agent-Oriented Modeling for the Collective" (submitted). This deposit contains the four NetLogo models and the simulation results used in the case studies of the article. Each case study compares a Base model (built with the standard Prometheus methodology) with a CI model (built with Neo-Prometheus, i.e. Prometheus extended with Malone's Collective Intelligence Genome). Case studies and models:- Residential segregation (Schelling-type): Segregation-Base.nlogo, Segregation-CI.nlogo- Dairy cooperative: Dairy-Base.nlogo, Dairy-CI.nlogo CONTENTS- english/ : English version of the models (interface, code, comments, Info tab) and of the spreadsheet- original-es/ : Spanish versions of the same models and spreadsheet- scripts/ : make_background.py, which generates the background picture used by the dairy models- Results.xlsx (inside each folder): results of the 10 runs per condition- LICENSE.txt : licensing and attribution RUNNING THE MODELSThe models were saved with NetLogo 6.4.0 (free, https://ccl.northwestern.edu/netlogo/). Open any .nlogo file, press setup, then go. The two dairy models call import-drawing to load a background picture (Background.png in english/, Fondo.png in original-es/), which must stay in the same folder as the model. The picture is purely cosmetic: if it is missing, the models fall back to a plain green background and behave identically. REPRODUCING THE EXPERIMENTSEvery condition was run 10 times. Parameters not listed are the slider defaults saved in the files. Segregation: density = 90 and %-similar-wanted = 60 in both models. Base runs until all agents are happy; CI runs until no unhappy agent can afford to move (an "equilibrium reached" message appears). The three land-value centers keep their saved positions. Dairy cooperative: 52 weekly ticks per run, num-members = 40, association-price = 1400, plant-capacity = 21000, and give-incentives? on or off. Three truck-price scenarios: truck-price = 1400, 1450 and 1500. In the CI model the genome sliders were left at Desires-Love 0.8, Desires-Glory 0.6, Desires-Money 0.5, Confirmation-Bias 0.5, Availability-Bias 0.3 and Risk-Aversion-Bias 0.8. RESULTS.XLSXOne sheet per model. Each column is one run (1-10). The sheet header strips record the parameters of the block below them. The segregation sheets record the number of ticks to the end of the run, the final %similar, the number of unhappy agents and, for the CI model, the number of socially trapped agents (the "Unhappy-Poor" count). The dairy sheets hold one block per truck-price scenario, each with a "With incentive" and a "No incentive" part. The four recorded quantities are the end-of-run values of the interface monitors: total association milk (cumulative liters delivered over the year), weekly association milk (last week), milk sold to third parties (last week) and loyalty (group average, 0-100). LICENSESee LICENSE.txt for the license and attribution of each file. Segregation-Base.nlogo is Uri Wilensky's NetLogo Segregation model (CC BY-NC-SA 3.0); Segregation-CI.nlogo is derived from it.

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Publication Details

Journal
Figshare
Published
2026-10-27
DOI
https://doi.org/10.6084/m9.figshare.34803165.v1
Primary Topic
Multi-Agent Systems and Negotiation
Type
article
Field-Weighted Citation Impact
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article

Neo-Prometheus: Agent-Oriented Modeling for the Collective

Sergio Rojas–Galeano, Lindsay Álvarez-Pomar, Danna Espitia
Figshare
Multi-Agent Systems and Negotiation
article

Neo-Prometheus: Agent-Oriented Modeling for the Collective

Sergio Rojas–Galeano, Lindsay Álvarez-Pomar, Danna Espitia
article en

Abstract

NetLogo models and simulation results for the article "Neo-Prometheus: Agent-Oriented Modeling for the Collective" (submitted). This deposit contains the four NetLogo models and the simulation results used in the case studies of the article. Each case study compares a Base model (built with the standard Prometheus methodology) with a CI model (built with Neo-Prometheus, i.e. Prometheus extended with Malone's Collective Intelligence Genome). Case studies and models:- Residential segregation (Schelling-type): Segregation-Base.nlogo, Segregation-CI.nlogo- Dairy cooperative: Dairy-Base.nlogo, Dairy-CI.nlogo CONTENTS- english/ : English version of the models (interface, code, comments, Info tab) and of the spreadsheet- original-es/ : Spanish versions of the same models and spreadsheet- scripts/ : make_background.py, which generates the background picture used by the dairy models- Results.xlsx (inside each folder): results of the 10 runs per condition- LICENSE.txt : licensing and attribution RUNNING THE MODELSThe models were saved with NetLogo 6.4.0 (free, https://ccl.northwestern.edu/netlogo/). Open any .nlogo file, press setup, then go. The two dairy models call import-drawing to load a background picture (Background.png in english/, Fondo.png in original-es/), which must stay in the same folder as the model. The picture is purely cosmetic: if it is missing, the models fall back to a plain green background and behave identically. REPRODUCING THE EXPERIMENTSEvery condition was run 10 times. Parameters not listed are the slider defaults saved in the files. Segregation: density = 90 and %-similar-wanted = 60 in both models. Base runs until all agents are happy; CI runs until no unhappy agent can afford to move (an "equilibrium reached" message appears). The three land-value centers keep their saved positions. Dairy cooperative: 52 weekly ticks per run, num-members = 40, association-price = 1400, plant-capacity = 21000, and give-incentives? on or off. Three truck-price scenarios: truck-price = 1400, 1450 and 1500. In the CI model the genome sliders were left at Desires-Love 0.8, Desires-Glory 0.6, Desires-Money 0.5, Confirmation-Bias 0.5, Availability-Bias 0.3 and Risk-Aversion-Bias 0.8. RESULTS.XLSXOne sheet per model. Each column is one run (1-10). The sheet header strips record the parameters of the block below them. The segregation sheets record the number of ticks to the end of the run, the final %similar, the number of unhappy agents and, for the CI model, the number of socially trapped agents (the "Unhappy-Poor" count). The dairy sheets hold one block per truck-price scenario, each with a "With incentive" and a "No incentive" part. The four recorded quantities are the end-of-run values of the interface monitors: total association milk (cumulative liters delivered over the year), weekly association milk (last week), milk sold to third parties (last week) and loyalty (group average, 0-100). LICENSESee LICENSE.txt for the license and attribution of each file. Segregation-Base.nlogo is Uri Wilensky's NetLogo Segregation model (CC BY-NC-SA 3.0); Segregation-CI.nlogo is derived from it.

Figshare
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Multi-Agent Systems and Negotiation
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