Agent-based modelling has become a cornerstone methodology for exploring how innovations—ranging from consumer products to digital platforms—propagate through social networks. By simulating ...

Abstract: Swarm intelligence for uncrewed aerial vehicles (UAVs) significantly improves the success rate of executing intricate tasks using “distributed platforms and aggregated effects”. However, the ...

Generative AI and agentic AI have several use cases in the contact center, two of which include improving self-service and augmenting the human agent. However, these use cases rarely intersected. “You ...

Suggested Citation: "1 Introduction to Precision Medicine and Animal Models." National Academies of Sciences, Engineering, and Medicine. 2018. Advancing Disease Modeling in Animal-Based Research in ...

Researchers at Alibaba’s Tongyi Lab have developed a new framework for self-evolving agents that create their own training data by exploring their application environments. The framework, AgentEvolver ...

A new book provides an overview of agent-based modeling (ABM) and multi-agent systems (MAS), emphasizing their significance in understanding complex economic systems. The book's 14 chapters feature ...

Mesa allows users to quickly create agent-based models using built-in core components (such as spatial grids and agent schedulers) or customized implementations; visualize them using a browser-based ...

In this work, we use two different ABMs to test our calibration routine, the zero-intelligence trader model (ZI) and an extension to the Chiarella model. For further details on both, see [35] for the ...

Ars Technica has been separating the signal from the noise for over 25 years. With our unique combination of technical savvy and wide-ranging interest in the technological arts and sciences, Ars is ...

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Abstract: This paper presents an agent-based simulation model with cognitive elements, developed to explore strategies for managing complex projects under uncertainty. The model was implemented using ...

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