A Novel Formal Agent-Based Simulation Modeling Framework of an AIDS Complex Adaptive System

Author:

Siddiqa Amnah1,Niazi Muaz2

Affiliation:

1. Research Centre for Modeling and Simulation, National University of Sciences and Technology, Islamabad, Pakistan

2. Office of Research, Innovation & Commercialization, Bahria University, Islamabad, Pakistan

Abstract

HIV/AIDS spread depends upon complex patterns of interaction among various subsets emerging at population level. This added complexity makes it difficult to study and model AIDS and its dynamics. AIDS is therefore a natural candidate to be modeled using agent-based modeling, a paradigm well-known for modeling Complex Adaptive Systems (CAS). While agent-based models are well-known to effectively model CAS, often times models can tend to be ambiguous and using only using text-based specifications (such as ODD) making models difficult to be replicated. Previous work has shown how formal specification may be used in conjunction with agent-based modeling to develop models of various CAS. However, to the best of the authors’ knowledge, no such model has been developed in conjunction with AIDS. In this paper, we present a Formal Agent-Based Simulation modeling framework (FABS-AIDS) for an AIDS-based CAS. FABS-AIDS employs the use of a formal specification model in conjunction with an agent-based model to reduce ambiguity as well as improve clarity in the model definition. The proposed model demonstrates the effectiveness of using formal specification in conjunction with agent-based simulation for developing models of CAS in general and, social network-based agent-based models, in particular.

Publisher

IGI Global

Subject

General Medicine

Reference46 articles.

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2. Sexual behavior of HIV discordant couples after HIV counseling and testing

3. A Simulation Model of the Dynamics of HIV Transmission in Intravenous Drug Users

4. Agent-Based Model of Therapeutic Adipose-Derived Stromal Cell Trafficking during Ischemia Predicts Ability To Roll on P-Selectin

5. Agent-based modeling: A revolution?

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