Agent Based Model News Today

Over 25 years ago, illegal fishing was seen as a significant threat to international fisheries. Extraordinary efforts, such as the adoption of the UN Fish Stocks Agreement and the UN Compliance Agreement, illustrated the importance of addressing illegal fishing at the global level. The countries in Latin America and the Caribbean (LAC) have a long history of addressing fisheries interests by leading global efforts. The Santiago Declaration of 1952 established a 200 nautical mile fisheries zone l...

Overview Overfishing is one of the greatest threats facing the ocean. In its 2020 biennial report on the status of the world’s fisheries, the United Nations Food and Agriculture Organization (FAO) noted that a third of fish stocks are overfished and that nearly 60 percent of the remaining stocks are unable to sustain further increases in fishing. Illegal, unreported, and unregulated (IUU) fishing exacerbates this threat, preventing accurate stock assessments and harming small-scale fishers an...

An Agent-Based Model (ABM) is a category of a computational model for investigating actions and interactions of autonomous agents. The concept behind an ABM is the observation of simultaneous and multiple interactions of agents or programmed instructed entities through simulated environments. In developing these simulated environments, predictions of emergent phenomena can be evaluated. With an ABM, macro or high-level system properties can emerge from lower-level system interactions. Moreover,...

Using agent based modeling and telecom data to inform COVID-19 response Image In an effort to stem the unprecedented spread of the deadly COVID-19 virus, many Sub-Saharan African countries locked down at the start of the epidemic along with governments around the world. Amid a spike in cases now, new lockdown measures have been imposed in many countries. While such measures helped to substantially slow the spread, we need to think about how lockdowns can be better planned to ensure that they li...