Machine learningSensitivity analysisPleistoceneGlobalClimate dynamicsPaleogeographyData treatmentUnderstanding Late Pleistocene human dispersals from Africa requires understanding a multifaceted problem with factors varying in space and time, such as climate, ecology, human behavior, and population dynamics. To ...
Agent‐based modeling began as the computational armof artificial life some 20 years ago. Artificial life isconcerned with the emergence of order in nature. How do systemsself‐organize themselves and spontaneously achievea higher‐ordered state? Agent‐based modelingthen, is concerned with exploring ...
毕竟Agent-based modeling的支持者批评的是主流理论里agent做Bayesian updating的惯例。所以取另一个极端—...
毕竟Agent-based modeling的支持者批评的是主流理论里agent做Bayesian updating的惯例。所以取另一个极端—...
An agent-based machine learning method was proposed in this study to improve the accuracy of building energy consumption prediction by taking occupancy and occupant behaviour into consideration. The schematic outline of the research is depicted in Fig. 2, which consists of two components- an occupant...
Agent-based modeling and simulation have evolved as a powerful tool for modeling complex systems, offering insights into emergent behaviors and interactions among diverse agents. Recently, integrating large language models into agent-based modeling and s
Agent-Based Models (ABMs) are used in several fields to study the evolution of complex systems from micro-level assumptions. However, a significant drawback of ABMs is their inability to estimate agent-specific (or “micro”) variables, which hinders the
machine-learningreinforcement-learningagent-based-modelingtrade UpdatedOct 15, 2016 Jupyter Notebook je-suis-tm/graph-theory Star322 Julia and Python complex system applications in ecology, epidemiology, sociology, economics & finance; network science models including Bianconi-Barabási, Barabási-Albert, ...
deep learningpotentialagent-based modellingrural residentialland consolidationGuangzhou citySubject behavior modeling of rural residential consolidation (RRC) can rely mainly on the linear utility function and prior knowledge of experts at present. These approaches have the high subjective interference, leading...
Large language model (LLM) agent-based modeling and simulation A summary of works on LLM empowered agent-based modeling and simulation. Our survey Large language models empowered agent-based modeling and simulation: a survey and perspectives is published in Humanities and Social Sciences Communications...