scholarly journals Co-benefits and Trade-Offs From Agro-Food System Redesign for Circularity: A Case Study With the FAN Agent-Based Model

2020 ◽  
Vol 4 ◽  
Author(s):  
Hugo Fernandez-Mena ◽  
Graham K. MacDonald ◽  
Sylvain Pellerin ◽  
Thomas Nesme
Keyword(s):  
Food System ◽  
Agent Based Model ◽  
Agent Based ◽  
Trade Offs

scholarly journals Climate change, hunger and rural health through the lens of farming styles: An agent-based model to assess the potential role of peasant farming

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0246788
Author(s):  
Simon J. Lloyd ◽  
Zaid Chalabi
Keyword(s):  
Climate Change ◽  
Rural Health ◽  
Agricultural Policy ◽  
Potential Role ◽  
Food System ◽  
Global Level ◽  
Agent Based Model ◽  
Agent Based ◽  
Trade Offs

Undernutrition is a major contributor to the global-burden of disease, and global-level health impact models suggest that climate change-mediated reductions in food quantity and quality will negatively affect it. These models, however, capture just some of the processes that will shape future nutrition. We adopt an alternative standpoint, developing an agent-based model in which producer-consumer smallholders practice different ‘styles of farming’ in the global food system. The model represents a hypothetical rural community in which ‘orphan’ (subsistence) farmers may develop by adopting an ‘entrepreneurial’ style (highly market-dependent) or by maintaining a ‘peasant’ style (agroecology). We take a first look at the question: how might patterns of farming styles—under various style preference, climate, policy, and price transmission scenarios—impact on hunger and health-supporting conditions (incomes, work, inequality, ‘real land productivity’) in rural areas? imulations without climate change or agricultural policy found that style preference patterns influence production, food price, and incomes, and there were trade-offs between them. For instance, entrepreneurial-oriented futures had the highest production and lowest prices but were simultaneously those in which farms tended towards crisis. Simulations with climate change and agricultural policy found that peasant-orientated agroecology futures had the highest production, prices equal to or lower than those under entrepreneurial-oriented futures, and better supported rural health. There were, however, contradictory effects on nutrition, with benefits and harms for different groups. Collectively the findings suggest that when attempting to understand how climate change may impact on future nutrition and health, patterns of farming styles—along with the fates of the households that practice them—matter. These issues, including the potential role of peasant farming, have been neglected in previous global-level climate-nutrition modelling but go to the heart of current debates on the future of farming: thus, they should be given more prominence in future work.

scholarly journals Development of an agent-based model to assess the impact of substandard and falsified anti-malarials: Uganda case study

2019 ◽  
Vol 18 (1) ◽  
Author(s):  
Sachiko Ozawa ◽  
Daniel R. Evans ◽  
Colleen R. Higgins ◽  
Sarah K. Laing ◽  
Phyllis Awor
Keyword(s):  
Agent Based Model ◽  
Agent Based ◽  
The Impact

‘Smart’ policies to reduce pesticide use and avoid income trade-offs: An agent-based model applied to Thai agriculture

2017 ◽  
Vol 132 ◽  
pp. 91-103 ◽  
Author(s):  
Christian Grovermann ◽  
Pepijn Schreinemachers ◽  
Suthathip Riwthong ◽  
Thomas Berger
Keyword(s):  
Pesticide Use ◽  
Agent Based Model ◽  
Agent Based ◽  
Trade Offs

scholarly journals Engineering Approaches for Programming Agent-Based IoT Objects Using the Resource Management Architecture

Sensors ◽  
2021 ◽  
Vol 21 (23) ◽  
pp. 8110
Author(s):  
Fabian Cesar Brandão ◽  
Maria Alice Trinta Lima ◽  
Carlos Eduardo Pantoja ◽  
Jean Zahn ◽  
José Viterbo
Keyword(s):  
Performance Tests ◽  
Multi Agent Systems ◽  
Bdi Agents ◽  
Specific Domain ◽  
Agent Based ◽  
Trade Offs ◽  
Multi Agent ◽  
Study Case ◽  
The Internet Of Things

The Internet of Things (IoT) allows the sharing of information among devices in a network. Hardware evolutions have enabled the employment of cognitive agents on top of such devices, which could help to adopt pro-active and autonomous IoT systems. Agents are autonomous entities from Artificial Intelligence capable of sensing (perceiving) the environment where they are situated. Then, with these captured perceptions, they can reason and act pro-actively. However, some agent approaches are created for a specific domain or application when dealing with embedded systems and hardware interfacing. In addition, the agent architecture can compromise the system’s performance because of the number of perceptions that agents can access. This paper presents three engineering approaches for creating IoT Objects using Embedded Multi-agent systems (MAS)—as cognitive systems at the edge of an IoT network—connecting, acting, and sharing information with a re-engineered IoT architecture based on the Sensor as a Service model. These engineering approaches use Belief-Desire-Intention (BDI) agents and the JaCaMo framework. In addition, it is expected to diversify the designers’ choice in applying embedded MAS in IoT systems. We also present a case study to validate the whole re-engineered architecture and the approaches. Moreover, some performance tests and comparisons are also presented. The study case shows that each approach is more or less suitable depending on the domain tackled. The performance tests show that the re-engineered IoT architecture is scalable and that there are some trade-offs in adopting one or another approach. The contributions of this paper are an architecture for sharing resources in an IoT network, the use of embedded MAS on top IoT Objects, and three engineering approaches considering agent and artifacts dimensions.

scholarly journals Supporting Policy Design for the Diffusion of Cleaner Technologies: A Spatial Empirical Agent-Based Model

2020 ◽  
Vol 9 (10) ◽  
pp. 581 ◽  
Author(s):  
Caterina Caprioli ◽  
Marta Bottero ◽  
Elena De Angelis
Keyword(s):  
Policy Design ◽  
Renewable Energy Resources ◽  
Agent Based Model ◽  
Opinion Formation ◽  
Real World Data ◽  
Agent Based ◽  
Pv Systems ◽  
Definition Of

Renewable energy resources and energy-efficient technologies, as well as building retrofitting, are only some of the possible strategies that can achieve more sustainable cities and reduce greenhouse gas emissions. Subsidies and incentives are often provided by governments to increase the number of people adopting these sustainable energy efficiency actions. However, actual sales of green products are currently not as high as would be desired. The present paper applies a hybrid agent-based model (ABM) integrated with a Geographic Information System (GIS) to simulate a complex socio-economic-architectural adaptive system to study the temporal diffusion and the willingness of inhabitants to adopt photovoltaic (PV) systems. The San Salvario neighborhood in Turin (Italy) is used as an exemplary case study for testing consumer behavior associated with this technology, integrating social network theories, opinion formation dynamics and an adaptation of the theory of planned behavior (TPB). Data/characteristics for both buildings and people are explicitly spatialized with the level of detail at the block scale. Particular attention is given to the comparison of the policy mix for supporting decision-makers and policymakers in the definition of the most efficient strategies for achieving a long-term vision of sustainable development. Both variables and outcomes accuracy of the model are validated with historical real-world data.

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