A second nutrition transition seems to be emerging towards more plant-based diets, curbing meat consumption in developed countries at the beginning of the 21st century. This shift suggests that rational arguments tend to influence an increasing number of individuals to adopt vegetarian diets. This work aimed to understand and simulate the impact of different types of messages on the choice to change food diets at the individual level, and the impact of the diffusion of opinions at the collective level. It provided two results: (1) a network of arguments around vegetarian diets is modelled using an abstract argumentation approach. Each argument, formalized by a node, was connected with other arguments by arrows, thus formalizing relationships between arguments. This methodology made it possible to formalize an argument network about vegetarian diets and to identify the importance of health arguments compared to ethical or other types of arguments. This methodology also identified key arguments as a result of their high centrality in being challenged or challenging other arguments. The results of constructing this argument network suggested that any controversy surrounding vegetarian diets will be polarized around such high centrality arguments about health. Even though few ethical arguments appeared in our network, the health arguments concerning the necessity or not of animal products for humans were indirectly connected with ethical choices towards vegetarian diets; (2) an agent-based simulation of the social diffusion of opinions and practices concerning meat consumption is then introduced. The purpose of this simulation was to capture the balance of vegetarian vs. meat-based diets. It contributes to modelling consumer choices by exploring the balance between individual values and external influences such as social pressure, communication campaigns and sanitary, environmental or ethical crises.
Amgoud L, Prade H. Using arguments for making and explaining decisions. Artificial Intelligence. 2009;(3–4):413–36.
2.
An L. Modeling human decisions in coupled human and natural systems: Review of agent-based models. Ecological Modelling. 2012;(SI):25–36.
3.
Baroni P, Giacomin M. Semantics of abstract argument systems. 2009;25–44.
4.
Beardsworth A, Keil E. Vegetarianism, veganism, and meat avoidance: Recent trends and findings. British Food Journal. 1991;19–24.
5.
Berger T. Agent-based spatial models applied to agriculture: A simulation tool for technology diffusion, resource use changes and policy analysis. Agricultural Econom-ics. 2001;(2–3):245–60.
6.
Besnard P, Hunter A. Elements of argumentation. 2008;
7.
Bourguet JR, Thomopoulos R, Mugnier ML, Abecassis J. An artificial intelligence-based approach to deal with argumentation applied to food quality in a public health policy. Expert Systems with Applications. 2013;(11):4539–46.
8.
Castella J, Trung T, Boissau S. Participatory simulation of landuse changes in the northern mountains of vietnam: The combined use of an agentbased model, a role-playing game, and a geographic information system. Ecology and Society. 2005;(1).
9.
Craig W, Mangels A. Position of the american dietetic association: Vegetarian diets. Journal of the American Dietetic Association. 2009;(7):1266–82.
10.
Deffuant G, Amblard F, Weisbuch G, Faure T. How can extremism prevail? a study based on the relative agreement interaction model. J Artificial Societies and Social Simulation. 2002;
11.
Dung P. On the acceptability of arguments and its fundamental role in nonmonotonic reasoning, logic programming and n-person games. Artificial Intelligence. 1995;(2):321–57.
12.
Epstein J, Axtell R. Growing artificial societies: Social science from the bottom up. 1996;
13.
Filatova T, Verburg P, Parker D, Stannard C. Spatial agentbased models for socio-ecological systems: Challenges and prospects. Environmental Modelling & Software. 2013;1–7.
14.
Francione G. Animal rights: The abolitionist approach. 2015;
15.
Grimm V. Ten years of individualbased modelling in ecology: What have we learned and what could we learn in the future? Ecological Modelling. 1999;(2–3):129–48.
16.
Jabs J, Devine C, Sobal J. Model of the process of adopting vegetarian diets: Health vegetarians and ethical vegetarians. Journal of Nutrition Education. 1998;(4):70319.
17.
Janssen M, Walker B, Langridge J, Abel N. An adaptive agent model for analysing co-evolution of management and policies in a complex rangeland system. Ecological Modelling. 2000;(2–3):249–68.
18.
Janssen M, Ostrom E. Empirically based, agent-based models. Ecology and Society. 2006;(2).
19.
Matthews R, Gilbert N, Roach A, Polhill J, Gotts N. Agentbased land-use models: A review of applications. Landscape Ecology. 2007;(10):1447–59.
20.
Mcdonald B. once you know something, you can't not know it" an empirical look at becoming vegan. Society and Animals. 2000;1–23.
21.
Ouerdane W, Maudet N, Tsoukiàs A. Argumentation theory and decision aiding. Trends in Multiple Criteria Decision Analysis. 2010;142.
22.
Parker D, Manson S, Janssen M, Hoffmann M, Deadman P. Multi-agent systems for the simulation of land-use and land-cover change: A review. Annals of the Association of American Geographers. 2003;(2):314–37.
23.
Peltonen R, Nenonen M, Helve T, Hänninen O, Toivanen P, Eerola E. Faecal microbial flora and disease activity in rheumatoid arthritis during a vegan diet. Rheumatology. 1997;(1):64–8.
24.
Popkin B. Nutritional patterns and transitions. Population and Development Review. 1993;(1):138–57.
25.
Pornpitakpan C. The persuasiveness of source credibility: A critical review of five decades’ evidence. Journal of Applied So-cial Psychology. 2004;(2):243–81.
26.
Rahwan I, Simari G. Argumentation in artificial intelligence. 2009;
27.
Railsback S, Lytinen S, Jackson S. Agent-based simulation platforms: Review and development recommendations. Simulation-transactions of the Society for Modeling and Simulation International. 2006;(9):609–23.
28.
Rammel C, Stagl S, Wilfing H. Managing complex adaptive systems -a co-evolutionary perspective on natural resource management. Ecological Economics. 2007;(1):9–21.
29.
Robinson D, Brown D, Parker D, Schreinemachers P, Janssen M, Huigen M, et al. Comparison of empirical methods for building agent-based models in land use science. Journal of Land Use Science. 2007;31–55.
30.
Ruby M. Vegetarianism. a blossoming field of study. Appetite. 2012;(1):141–50.
31.
Samuelson D. Designing organizations. OR/MS Today. 2000;
32.
Samuelson D, Macal C. Agentbased simulation comes of age. 2006;(4):34.
33.
Schelling T. Dynamic models of segregation. Journal of Mathematical Sociology. 1971;(2):143–86.
34.
Schluter M, Baeza A, Dressler G, Frank K, Groeneveld J, Jager W, et al. A framework for mapping and comparing behavioural theories in models of social-ecological systems. Ecological Economics. 2017;21–35.
35.
Simon H. Models of bounded rationality: Empirically grounded economic reason. 1997;
36.
Taillandier P, Gaudou B, Grignard A, Quang Nghi H, Marilleau N, Caillou P.
37.
Drogoul A. Building, composing and experimenting complex spatial models with the gama platform. GeoInformatica. 2018;
38.
Thomopoulos R. A practical application approach to argumentation for multicriteria analysis and decision support. Euro Journal on Decision Processes. 2018;(3–4):237–55.
39.
Thomopoulos R, Croitoru M, Tamani N. Decision support for agrifood chains: A reverse engineering argumentation-based approach. Ecological Informatics. 2015;(2):182–91.
40.
Thomopoulos R, Moulin B, Bedoussac L. Combined argumentation and simulation to support decision: Example to assess the attractiveness of a change in agriculture. 2017;275–81.
41.
Tilman D, Clark M. Global diets link environmental sustainability and human health. Nature. 2014;(515):518–22.
42.
Verburg P, Veldkamp A. Introduction to the special issue on spatial modeling to explore land use dynamics. International Journal of Geographical Information Science. 2005;99–102.
43.
Vranken L, Avermaete T, Petalios D, Mathijs E. Curbing global meat consumption: Emerging evidence of a second nutrition transition. Environmental Science & Policy. 2014;95–106.
44.
Walton D, Macagno F. A classification system for argumentation schemes. Argument & Computation. 2015;(3):219–45.
45.
Xie J, Sreenivasan S, Korniss G, Zhang W, Lim C, Szymanski B. Social consensus through the influence of committed minorities. Physical Review E. 2011;(1, 1).
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