Comparing the Effect of Code Optimizations on Simulation Runtime Across Synchronous Cellular Automata Models of HIV

Software Technology to Develop Large-Scale Self-Adaptive Systems: Accelerating Agent-Based Models and Fuzzy Cognitive Maps via CUDA

“…The ABM approach uses individual entities (agents) that act autonomously and can interact with other agents (e.g., to coordinate and collaborate) and the environment. The simple rules enacted at the individual level allow to observe emergence in population-wide patterns, as illustrated over the many cells of an organism or the population of an entire country [Barde and Van Der Hoog, 2017, Li andGiabbanelli, 2021].…”

“…In reaction to these limitations, a framework was previously proposed to transparently elicit the rules governing an agent from subject-matter experts. That is, the 'mental model' of an expert is elicited and represented as a Fuzzy Cognitive Map (Figure 1), then embedded into an agent to govern its decision-making processes [Giabbanelli et al, 2017, Mkhitaryan andGiabbanelli, 2021]. Such ABM/FCM hybrid models (Figure 2) have been employed in several participatory modeling studies to transparently create a holistic picture of agents with heterogeneous behavior rules influencing each other [Davis et al, 2019].…”