Multi-agent Spatial SIR-Based Modeling and Simulation of Infection Spread Management

Bădică, Amelia; Bǎdicǎ, Costin; Ganzha, Maria; Ivanović, Mirjana; Paprzycki, Marcin

doi:10.1007/978-3-030-77967-2_37

Cited by 1 publication

(1 citation statement)

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“…Today, agent systems are extensively used in medical and social simulations, particularly those that examine the spread of infectious diseases (e.g., the impact of mobility restrictions on the spread of COVID-19 [52] and strategies for minimizing the spread of epidemics in populations [53]). Moreover, agent systems are being employed for modeling in the electromobility sector [54][55][56][57], as well as in electricity markets [58].…”

Section: Short History Of Agent Systemsmentioning

confidence: 99%

Overview of Software Agent Platforms Available in 2023

et al. 2023

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Agent-based computing remains an active field of research with the goal of building (semi-)autonomous software for dynamic ecosystems. Today, this task should be realized using dedicated, specialized frameworks. Over almost 40 years, multiple agent platforms have been developed. While many of them have been “abandoned”, others remain active, and new ones are constantly being released. This contribution presents a historical perspective on the domain and an up-to-date review of the existing agent platforms. It aims to serve as a reference point for anyone interested in developing agent systems. Therefore, the main characteristics of the included agent platforms are summarized, and selected links to projects where they have been used are provided. Furthermore, the described platforms are divided into general-purpose platforms and those targeting specific application domains. The focus of the contribution is on platforms that can be judged as being under active development. Information about “historical platforms” and platforms with an unclear status is included in a dedicated website accompanying this work.

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