Agents.jl: a performant and feature-full agent-based modeling software of minimal code complexity

Datseris, George; Vahdati, Ali R.; DuBois, Timothy C.

doi:10.1177/00375497211068820

Cited by 36 publications

(22 citation statements)

References 20 publications

(18 reference statements)

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“…Our agent-based model is implemented in the Julia Programming Language [ 32 , see also https://julialang.org/ ] and makes use of multiple packages from the Julia ecosystem [ 33 – 37 ]. The complete codebase has been made available online ( here ), including the required Julia environment, the model itself and auxiliary scripts for generating all plots and tables.…”

Section: Methodsmentioning

confidence: 99%

A value-based model of job performance

2022

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This agent-based model contributes to a theory of corporate culture in which company performance and employees’ behaviour result from the interaction between financial incentives, motivational factors and endogenous social norms. Employees’ personal values are the main drivers of behaviour. They shape agents’ decisions about how much of their working time to devote to individual tasks, cooperative, and shirking activities. The model incorporates two aspects of the management style, analysed both in isolation and combination: (i) monitoring efforts affecting intrinsic motivation, i.e. the company is either trusting or controlling, and (ii) remuneration schemes affecting extrinsic motivation, i.e. individual or group rewards. The simulations show that financial incentives can (i) lead to inefficient levels of cooperation, and (ii) reinforce value-driven behaviours, amplified by emergent social norms. The company achieves the highest output with a flat wage and a trusting management. Employees that value self-direction highly are pivotal, since they are strongly (de-)motivated by the management style.

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Section: Methodsmentioning

confidence: 99%

A value-based model of job performance

2022

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“…6 Used packages in alphabetical order: Agents.jl for agent-based modelling and simulation (Datseris et al, 2021), Colors.jl for coloring of visualisations, CSV.jl for handling delimited files (Quinn et al, 2021), DataFrames.jl for data processing (White et al, 2021), Distributions.jl for probability distributions (Besançon et al, 2021), Latexify.jl for L A T E X-formatting of tables, Makie.jl for visualisations (Danisch et al, 2021), and Pipe.jl for chaining of operations.…”

Section: Simulations and Resultsmentioning

confidence: 99%

The effects of incentives, social norms, and employees' values on work performance

Roos,

Reale,

Banning

2021

Preprint

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This agent-based model contributes to a theory of corporate culture in which company performance and employees' behaviour result from the interaction between financial incentives, motivational factors and endogenous social norms. Employees' personal values are the main drivers of behaviour. They shape agents' decisions about how much of their working time to devote to individual tasks, cooperative, and shirking activities. The model incorporates two aspects of the management style, analysed both in isolation and combination: (i) monitoring efforts affecting intrinsic motivation, i.e. the firm is either trusting or controlling, and (ii) remuneration schemes affecting extrinsic motivation, i.e. individual or group rewards. The simulations show that financial incentives can (i) lead to inefficient levels of cooperation, and (ii) reinforce value-driven behaviours, amplified by emergent social norms. The company achieves the highest output with a flat wage and a trusting management. Employees that value self-direction highly are pivotal, since they are strongly (de-)motivated by the management style.

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“…We use N = 500 particles in a square periodic lattice with spacing ϵ such that N ϵ 2 = ϕ for every given ϕ. Simulations are performed using the agent-based modelling package Agents.jl [11] in Julia. The particles are initialized at t = 0 uniformly distributed in angle and the lattice (while satisfying the constraint of only one particle per lattice site).…”

Section: 2mentioning

confidence: 99%

Phase Separation in Systems of Interacting Active Brownian Particles

Bruna¹,

Burger²,

Esposito³

et al. 2022

SIAM J. Appl. Math.

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The aim of this paper is to discuss the mathematical modeling of Brownian active particle systems, a recently popular paradigmatic system for self-propelled particles. We present four microscopic models with different types of repulsive interactions between particles and their associated macroscopic models, which are formally obtained using different coarse-graining methods. The macroscopic limits are integro-differential equations for the density in phase space (positions and orientations) of the particles and may include nonlinearities in both the diffusive and advective components. In contrast to passive particles, systems of active particles can undergo phase separation without any attractive interactions, a mechanism known as motility-induced phase separation (MIPS). We explore the onset of such a transition for each model in the parameter space of occupied volume fraction and Péclet number via a linear stability analysis and numerical simulations at both the microscopic and macroscopic levels. We establish that one of the models, namely, the mean-field model which assumes long-range repulsive interactions, cannot explain the emergence of MIPS. In contrast, MIPS is observed for the remaining three models that assume short-range interactions that localize the interaction terms in space.

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Agents.jl: a performant and feature-full agent-based modeling software of minimal code complexity

Cited by 36 publications

References 20 publications

A value-based model of job performance

A value-based model of job performance

The effects of incentives, social norms, and employees' values on work performance

Phase Separation in Systems of Interacting Active Brownian Particles

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