The model represents a large, traditional firm competing with small, sustainable food producers. The large firm operates under conventional assumptions, pursuing monopoly profits maximized through standard economic principles. Its behavior is driven by economies of scale, which compel small firms to strategically differentiate themselves to deliver added value to consumers. Consequently, small firms focus on offering higher-quality products—a factor that matters significantly to consumers.

The gains achieved by small firms represent social profits that hinge upon establishing co-participation schemes with farmers and building trustworthy relationships with consumers. Cooperation with farmers directly shapes production processes and product quality. Because a firm trusted by one consumer becomes visible to neighbors, trust can diffuse and evolve into a collective identity. Ultimately, population-level legitimation occurs when the organizational form of the organic food producer gains widespread acceptance within the consumer community.

The model’s behavior depends on three key factors: a trust parameter, a legitimation intensity parameter, and an aspiration-level weight (for the large firm).

The purpose of Hegmon’s Sharing model is to develop an understanding of the effect sharing strategies have on household survival.

The purpose of this model is to investigate the consequences of helminthes in public health policy to eradicate tuberculosis. Helminthes surprise immune system responses and without changes in hygiene

NetLogo agent-based model to simulate the transmission of COVID-19 in a university dormitory. User can set the number of initial students, buildings, floors, rooms, number of initially infected, and transmission rate. They can also test the effect of masks, sanitizations, elevator allowance, and visits on the effect of the SEIR curve.

Implementation of Milbrath’s (1965) model of political participation. Individual participation is determined by stimuli from the political environment, interpersonal interaction, as well as individual characteristics.

This agent-based model simulates the lifecycle, movement, and satisfaction of teachers within an urban educational system composed of multiple universities and schools. Each teacher agent transitions through several possible roles: newcomer, university student, unemployed graduate, and employed teacher. Teachers’ pathways are shaped by spatial configuration, institutional capacities, individual characteristics, and dynamic interactions with schools and universities. Universities are assigned spatial locations with a controllable level of centralization and are characterized by academic ratings, capacity, and alumni records. Schools are distributed throughout the city, each with a limited number of vacancies, hiring requirements, and offered salaries. Teachers apply to universities based on the alignment of their personal academic profiles with institutional ratings, pursue studies, and upon graduation become candidates for employment at schools.
The employment process is driven by a decentralized matching of teacher expectations and school offers, taking into account factors such as salary, proximity, and peer similarity. Teachers’ satisfaction evolves over time, reflecting both institutional characteristics and the composition of their colleagues; low satisfaction may prompt teachers to transfer between schools within their mobility radius. Mortality and teacher attrition further shape workforce dynamics, leading to continuous recruitment of newcomers to maintain a stable population. The model tracks university reputation through the academic performance and number of alumni, and visualizes key metrics including teacher status distribution, school staffing, university alumni counts, and overall satisfaction. This structure enables the exploration of policy interventions, hiring and training strategies, and the impact of spatial and institutional design on the allocation, retention, and happiness of urban educational staff.

patch_choice_enhanced.nlogox is an agent-based model (ABM) implementing the patch choice model from optimal foraging theory (OFT) in a multi-agent simulation environment. It extends the classical single-forager, equation-based Marginal Value Theorem (MVT) formulation to support multiple competing foragers, demographic processes, bounded memory, and stochastic resource dynamics on a spatially heterogeneous landscape.

The General Housing Model demonstrates a basic housing market with bank lending, renters, owners and landlords. This model was developed as a base to which students contributed additional functions during Arizona State University’s 2020 Winter School: Agent-Based Modeling of Social-Ecological Systems.

The TechNet_04 is an abstract model that embeds a simple cultural tranmission process in an environment where interaction is structured by spatially-situated networks.

We explore how dynamic processes related to socioeconomic inequality operate to sort students into, and create stratification among, colleges.