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Nonlinear Dynamics agent-based modeling framework
Agent Based Modeling Framework, supplied by Nonlinear Dynamics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/agent-based+modeling+framework+and+model/agent+based+models/pmc03502874-101-4-13
Average 90 stars, based on 1 article reviews
agent-based modeling framework - by Bioz Stars, 2026-10
90/100 stars

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Article Title: Nonlinear Dynamics of Complex Systems: Modeling and Analysis
Article Snippet: Nonlinear dynamics provides various modeling approaches: • Agent-Based Models: These models simulate individual agents' interactions and have applications in social sciences and biology.

Article Title: Stocks and cryptocurrencies: Antifragile or robust? A novel antifragility measure of the stock and cryptocurrency markets.
Article Snippet: The main idea is to model economics and finance as a complex system using the tools of statistical physics and nonlinear dynamics: for instance, using agent-based models as a “microscopic” description to explain the emergent phenomena observed in financial markets.

Article Title: Developing an agent-based model of oral healthcare utilization by Chinese Americans in New York City
Article Snippet: Agent-based models (ABMs) are well-suited to represent heterogeneous agents at different levels of analysis, interactions among agents and between agents and the environment, adaptation in agent behavior, nonlinear dynamics, and stochasticity in agent behavior and the environment ( Gilbert, 2004 ).

Article Title: Deep Reinforcement Learning and Simulation as a Path Toward Precision Medicine
Article Snippet: Agent-based models and their use as a sepsis simulation ABMs are a generic class of computational models well suited to represent the complex, stochastic, and nonlinear dynamics of biological systems such as the immune response (An et al., 2009 ).

Article Title: Interfering with influenza: nonlinear coupling of reactive and static mitigation strategies
Article Snippet: Keywords: infectious disease, contact tracing, nonlinear dynamics, intervention, agent-based model, antiviral prophylaxis

Article Title: Developing an agent-based model to minimize spreading of malicious information in dynamic social networks
Article Snippet: In addition, the agent-based models can control and scale up real-world experiments, and nonlinear dynamics can be introduced, which poses a significant problem in conventional experiments (Retzlaff et al. ).

Article Title: Evaluating community-driven cardiovascular health policy changes in the United States using agent-based modeling.
Article Snippet: Comprehensive smoke-free policy is a strategy to prevent cardiovascular disease (CVD) at a population-level; however, evaluating their long-term outcomes is difficult.. This study used an agent-based model to estimate long-term impacts of a comprehensive smoke-free policy, as it was implemented in two communities, Arlington and Mesquite, Texas.. The model predicted the percentage of myocardial infarction (MI), stroke, and diabetes in the population 10 and 20 years following policy adoption.

Article Title: Practical wisdom as an adaptive algorithm for leadership: Integrating Eastern and Western perspectives to navigate complexity and uncertainty
Article Snippet: Globalization has dramatically increased the complexity, diversity, and uncertainty of economic exchange, making management and decision making much more difficult for leaders.. In this ambiguous and ever-changing context, virtue ethics has re-emerged over the last few decades as a heuristic for deciding what is acceptable in business practices across different cultures.. In contrast to duty-based morality rooted in a rules-based logic, virtue ethics focuses on goodness as a fundamental attribute of human beings (Anscombe, 1958).



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