An Agent-Based Definition of Intended Effects

Keyword(s):  
Agronomy ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 85
Author(s):  
Jorge Lopez-Jimenez ◽  
Nicanor Quijano ◽  
Alain Vande Wouwer

Climate change and the efficient use of freshwater for irrigation pose a challenge for sustainable agriculture. Traditionally, the prediction of agricultural production is carried out through crop-growth models and historical records of the climatic variables. However, one of the main flaws of these models is that they do not consider the variability of the soil throughout the cultivation area. In addition, with the availability of new information sources (i.e., aerial or satellite images) and low-cost meteorological stations, it is convenient that the models incorporate prediction capabilities to enhance the representation of production scenarios. In this work, an agent-based model (ABM) that considers the soil heterogeneity and water exchanges is proposed. Soil heterogeneity is associated to the combination of individual behaviours of uniform portions of land (agents), while water fluxes are related to the topography. Each agent is characterized by an individual dynamic model, which describes the local crop growth. Moreover, this model considers positive and negative effects of water level, i.e., drought and waterlogging, on the biomass production. The development of the global ABM is oriented to the future use of control strategies and optimal irrigation policies. The model is built bottom-up starting with the definition of agents, and the Python environment Mesa is chosen for the implementation. The validation is carried out using three topographic scenarios in Colombia. Results of potential production cases are discussed, and some practical recommendations on the implementation are presented.


2005 ◽  
Vol 20 (2) ◽  
pp. 117-125 ◽  
Author(s):  
MICHAEL LUCK ◽  
EMANUELA MERELLI

The scope of the Technical Forum Group (TFG) on Agents in Bioinformatics (BIOAGENTS) was to inspire collaboration between the agent and bioinformatics communities with the aim of creating an opportunity to propose a different (agent-based) approach to the development of computational frameworks both for data analysis in bioinformatics and for system modelling in computational biology. During the day, the participants examined the future of research on agents in bioinformatics primarily through 12 invited talks selected to cover the most relevant topics. From the discussions, it became clear that there are many perspectives to the field, ranging from bio-conceptual languages for agent-based simulation, to the definition of bio-ontology-based declarative languages for use by information agents, and to the use of Grid agents, each of which requires further exploration. The interactions between participants encouraged the development of applications that describe a way of creating agent-based simulation models of biological systems, starting from an hypothesis and inferring new knowledge (or relations) by mining and analysing the huge amount of public biological data. In this report we summarize and reflect on the presentations and discussions.


Author(s):  
Xutang Zhang ◽  
Xinhua Liu ◽  
Gaoliang Peng

This study intends to propose an intelligent system with agent technology in order to realize integration and cooperation of multi-project production planning and scheduling process. The agent-based system framework, in which various intelligent agents worked together to perform multi-project production planning and scheduling tasks in an autonomous and collaborative way, is put forward. The system consists of three categories of agents and functional definition of each intelligent agent is presented. Moreover, agents communication mechanism and cooperation sequence diagram are proposed. Furthermore, an intelligent algorithm based on fuzzy comprehensive evaluation is designed to resolve competition conflicts among the agents. Finally, an experiment example was illustrated and the algorithm was demonstrated feasible and efficient.


2019 ◽  
pp. 135-145
Author(s):  
Lidiya Voyevodina ◽  
Lyudmila Medvedeva

The aim of the paper is to study the prerequisites for creating reclamation parks taking into account Russian and foreign experience in developing park structures, to identify the difference of reclamation parks from the existing forms of infrastructural entities and to suggest the mechanism of budgetary investment refunding with the use of the agent-based modeling method. The paper studies the main provisions of the concept of creating reclamation parks. They are considered as a new form of the interaction between farmers on reclaimed lands which is designed to increase the area of reclaimed lands and to ensure higher productivity of the crops grown on these lands and sustainability of agriculture on the basis of soil fertility preservation and increase. The article proposes a new definition of “reclamation water park” term. The paper analyzes the types of reclamation parks taking into account the specificity of the Siberian and Far Eastern Federal Districts. The authors propose variants of budgetary investment refunding using the experience of the US Bureau of Reclamation in budgetary refund of water supply projects implemented by this organization. According to the developed conception of reclamation parks there may be several options for refunding public investments. Using the assumptions made in the paper, the payback period for a water reclamation project at different levels of budget investment refunding was calculated. The payback period without deferral of refunds at the discount rate of 8 % was as follows. It was the longer than 50 years at 10 % profit per year; 14 years at 15 % profit per year; 9 years at 20 % profit per year, and 6 years at 30 % profit per year. When the period of the deferral of refunds was 5 years, the payback period was longer than 50 years, 48, 22, and 14 years respectively for every case.


Author(s):  
Celia G. Ralha ◽  
Carolina G. Abreu

This chapter presents research carried out under the MASE project, including the definition of a conceptual model to characterize the behavior of individuals that interact in the dynamics of land-use and cover change. A computational tool for analyzing environmental scenarios of land change was developed, called MASE - Multi-Agent System for Environmental Simulation. MASE enables agent-based simulation scenarios and integrates the influence of socio-economic and political dynamics through the interaction of agents with rules of land-use and planning policies and the environmental physical and spatial variables. MASE simulator was extended to implement the Belief-Desire-Intention (BDI) model, called MASE-BDI. MASE and MASE-BDI are discussed including the conceptual model complexity and statistical techniques of map comparison to land change models. Two real cases of the Brazilian Cerrado validate quantitative and qualitative aspects of MASE and MASE-BDI simulators. Finally, the authors present some auto-tuning aspects of adjusting simulation parameters of MASE-BDI.


Author(s):  
Iván García-Magariño ◽  
Alma Gómez-Rodríguez ◽  
Juan C. González-Moreno

2011 ◽  
Vol 186 ◽  
pp. 322-326
Author(s):  
Xiu Guo Wu

Workflow systems provide the automation of business processes where a collection of tasks is organized between participants according to a set of defined rules to accomplish some business goals. However, due to the lack of flexible mechanisms, such as fast changing customer requirements and enterprise goal shifts, a static workflow definition designed at build time is inflexible to meet the complex, dynamic situations that happen at run time. This paper presents a goal- and agent-based migrating workflow model. Structure of goal model in goal-oriented migrating instance and a way how GoMI pursues its goals is presented. A case study on goal-oriented migrating workflow system using the proposed methodology is also illustrated in this paper, The major contribution of this paper includes: (1) a definition of GoMWf model adopted the mobile computing paradigm and a framework of GoMWf; (2) a definition of goal-oriented migrating instance (GoMI) and its architecture based on BDI model; (3) evaluation of goal-based workflow system and process-based workflow system.


2020 ◽  
Vol 9 (10) ◽  
pp. 581 ◽  
Author(s):  
Caterina Caprioli ◽  
Marta Bottero ◽  
Elena De Angelis

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.


2014 ◽  
Vol 34 (1) ◽  
pp. 77 ◽  
Author(s):  
Andrew Aberdein

Several authors have recently begun to apply virtue theory to argumentation. Critics of this programme have suggested that no such theory can avoid committing an ad hominem fallacy. This criticism is shown to trade unsuccessfully on an ambiguity in the definition of ad hominem. The ambiguity is resolved and a virtue-theoretic account of ad hominem reasoning is defended.


2016 ◽  
Author(s):  
Annalisa Minelli ◽  
Marj Tonini

Alpine fires are mainly slope-driven, spreading along the forested steep slopes. Fire ignitions are here highly clustered near anthropogenic infrastructures and this characteristic behavior also affects the definition of the wildland urban interface (WUI). This last is known as the area where houses and other human infrastructures meet or intermingle with wildland vegetation, rural zone or forest. The main objective of the present study is to create a simulation model to assess the forest fire dynamic in pilot area located in the in the southern Swiss alpine region. This allows to investigate, for example, the influence of the mobility of people on the fires occurrences by simulating the daily movement of each single active person; or to simulate the displacement of the firefighters over the territory in order to evaluate the efficiency of different fires fight strategies in time. In this preliminary study the core simulation model has been implemented in GAMA, an open source agent based simulation platform. A long term objective is to conduct a study at global scale, over a wider area (e.g. the entire Canton Ticino), to understand the evolution of the WUI in time, analysing the affecting factors like the population growth or of the urbanisation and land use management.


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