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

Li, Junjiang; Giabbanelli, Philippe J.; Köster, Till

doi:10.1109/wsc52266.2021.9715453

Cited by 2 publications

(2 citation statements)

References 27 publications

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“…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].…”

Section: Introductionmentioning

confidence: 99%

“…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].…”

Section: Introductionmentioning

confidence: 99%

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Grassroots: Developing a Location-Based Game through a Decolonial Lens

Scardua,

Fennimore

2024

Proceedings of the Annual Hawaii International Conference on System Sciences

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Agent-Based Models (ABMs) have long served to study self-adaptive systems and the emergence of population-wide patterns from simple rules applied to individuals. Recently, the rules for each agent have been expressed using a Fuzzy Cognitive Map (FCM), which is elicited from a subject-matter expert. This provides a transparent and participatory process to externalize the 'mental model' of an expert and directly embed it into agents. However, software technology has been lacking to support such hybrid ABM/FCM models at scale, which has drastically limited the scope of applications and the ability of researchers to study emergent phenomena over large populations. In this paper, we designed and implemented the first open-source library that automatically accelerates ABM/FCM models by leveraging the CUDA cores available in a Graphical Processing Unit. We demonstrate the correctness and scaling of our library on a case study as well as across different networks representing agent interactions.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Grassroots: Developing a Location-Based Game through a Decolonial Lens

Scardua,

Fennimore

2024

Proceedings of the Annual Hawaii International Conference on System Sciences

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Simulation model of a flow tube reactor

Astrakhantseva,

Bobkov

2024

Modeling of Systems and Processes

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Tubular reactors are the main type of equipment in many production processes. At the same time, their characteristics largely determine the production technical and economic indicators. Therefore, the design and development of more advanced reactor designs and the determination of effective operating parameters can be considered important research tasks. To solve them, it is necessary to use mathematical and computer modeling methods. However, models containing rather crude simplifying as-sumptions are used to analyze the processes occurring in the chemical environment. Therefore, such models can be considered insufficiently adequate. In addition, existing approaches to reactor modeling do not fully take into account the influence of stochastic factors on the process. This article describes a simulation approach to modeling an electrochemical ozone synthesis reactor. A discrete stochastic approach is used as a methodological basis. It is based on the study of the functioning of individual elements of the system, which, as a result, shape the behavior of the system as a whole. The approach takes into account the influence of both deter-ministic and random factors on the course of the process. The paper describes the algorithm of simulation computer modeling, provides the results of simulation modeling, as a sepa-rate stage of the synthesis, and the process as a whole. The results of comparing computer simulation data with experimental data conducted on a real laboratory installation are described. Conclusions are drawn about the adequacy of the proposed simulation model, about the possibilities of its application in research practice, and the merits and disadvantages of the de-scribed approach are noted

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

Cited by 2 publications

References 27 publications

Grassroots: Developing a Location-Based Game through a Decolonial Lens

Grassroots: Developing a Location-Based Game through a Decolonial Lens

Simulation model of a flow tube reactor

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