How eco-efficient are crop farms in the Southern Amazon region? Insights from combining agent-based simulations with robust order-m eco-efficiency estimation

2022 ◽  
pp. 153072
Author(s):  
Marcelo Carauta ◽  
Christian Grovermann ◽  
Anja Heidenreich ◽  
Thomas Berger
Keyword(s):  
Amazon Region ◽  
Agent Based ◽  
Agent Based Simulations ◽  
Efficiency Estimation

scholarly journals Diffusion and persistence of false rumors in social media networks: implications of searchability on rumor self-correction on Twitter

2021 ◽  
Author(s):  
Kathrin Eismann
Keyword(s):  
Social Media ◽  
Agent Based ◽  
Social Media Networks ◽  
Agent Based Simulations

AbstractSocial media networks (SMN) such as Facebook and Twitter are infamous for facilitating the spread of potentially false rumors. Although it has been argued that SMN enable their users to identify and challenge false rumors through collective efforts to make sense of unverified information—a process typically referred to as self-correction—evidence suggests that users frequently fail to distinguish among rumors before they have been resolved. How users evaluate the veracity of a rumor can depend on the appraisals of others who participate in a conversation. Affordances such as the searchability of SMN, which enables users to learn about a rumor through dedicated search and query features rather than relying on interactions with their relational connections, might therefore affect the veracity judgments at which they arrive. This paper uses agent-based simulations to illustrate that searchability can hinder actors seeking to evaluate the trustworthiness of a rumor’s source and hence impede self-correction. The findings indicate that exchanges between related users can increase the likelihood that trustworthy agents transmit rumor messages, which can promote the propagation of useful information and corrective posts.

scholarly journals The contribution of agent-based simulations to conservation management on a Natura 2000 site

2016 ◽  
Vol 168 ◽  
pp. 27-35 ◽  
Author(s):  
Hélène Dupont ◽  
Françoise Gourmelon ◽  
Mathias Rouan ◽  
Isabelle Le Viol ◽  
Christian Kerbiriou
Keyword(s):  
Conservation Management ◽  
Natura 2000 ◽  
Agent Based ◽  
Agent Based Simulations ◽  
Natura 2000 Site

scholarly journals What interventions can decrease or increase belief polarisation in a population of rational agents?

2021 ◽  
Author(s):  
Piers Howe ◽  
Andrew Perfors ◽  
Keith Ransom
Keyword(s):  
New Method ◽  
Agent Based ◽  
Rational Agents ◽  
Echo Chambers ◽  
Agent Based Simulations

In many situations where people communicate (e.g., Twitter, Facebook etc), people self-organise into ‘echo chambers’ of like-minded individuals, with different echo chambers espousing very different beliefs. Why does this occur? Previous work has demonstrated that such belief polarisation can emerge even when all agents are completely rational, as long as their initial beliefs are heterogeneous and they do not automatically know who to trust. In this work, we used agent-based simulations to further investigate the mechanisms for belief polarisation. Our work extended previous work by using a more realistic scenario. In this scenario, we found that previously proposed methods for reducing belief polarisation did not work but we were able to find a new method that did. However, this same method could be reversed by adversarial entities to increase belief polarisation. We discuss how this danger can be best mitigated and what theoretical conclusions be drawn from our findings.

Sign in / Sign up

Export Citation Format

Share Document