Results 11 to 20 of about 11,094,605 (304)
An Overview of Agent-Based Models for Transport Simulation and Analysis
Journal of Advanced Transportation, 2022 This article presents an overview of the agent-based modeling and simulation approach and its recent developments in transport fields, with the purpose of discovering the advantages and gaps and encouraging more valuable investigations and applications ...
Jiangyan Huang +5 more
semanticscholar +1 more source
Integrating Behavioral Theories in Agent-Based Models for Agricultural Drought Risk Assessments
Frontiers in Water, 2021 Improving assessments of droughts risk for smallholder farmers requires a better understanding of the interaction between individual adaptation decisions and drought risk.
Teun Schrieks +4 more
semanticscholar +1 more source
Data Assimilation for Agent-Based Models
Mathematics, 2023 This article presents a comprehensive review of the existing literature on the topic of data assimilation for agent-based models, with a specific emphasis on pedestrians and passengers within the context of transportation systems.
Amir Ghorbani +3 more
doaj +1 more source
Features of Agent-based Models [PDF]
Electronic Proceedings in Theoretical Computer Science, 2017 The design of agent-based models (ABMs) is often ad-hoc when it comes to defining their scope. In order for the inclusion of features such as network structure, location, or dynamic change to be justified, their role in a model should be systematically ...
Reiko Heckel +2 more
doaj +1 more source
Statistical Mechanics of Political Polarization
Entropy, 2022 Rapidly increasing political polarization threatens democracies around the world. Scholars from several disciplines are assessing and modeling polarization antecedents, processes, and consequences. Social systems are complex and networked. Their constant
Miron Kaufman +2 more
doaj +1 more source
An Agent-Based Classification Model [PDF]
SSRN Electronic Journal, 2007 The major function of this model is to access the UCI Wisconsin Breast Can- cer data-set[1] and classify the data items into two categories, which are normal and anomalous. This kind of classifi cation can be referred as anomaly detection, which discriminates anomalous behaviour from normal behaviour in computer systems.
Gu, Feng +2 more
openaire +3 more sources
Large language models empowered agent-based modeling and simulation: a survey and perspectives [PDF]
Humanities and Social Sciences Communications, 2023 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.
Chen Gao +7 more
semanticscholar +1 more source
Agent-Based Model Exploration [PDF]
, 2015 The previous chapters have allowed us to introduce the basics of agent-based model creation with NetLogo. This has resulted in a model such as the one used in our running example. Once the model has been built, the aim is to manipulate it in such a way that new knowledge about the modeled phenomenon can be created.
Banos, Arnaud +3 more
openaire +3 more sources
Agent-Based Models in Transport Planning: Current State, Issues, and Expectations
ANT/EDI40, 2020 Agent-Based models have come to be known as powerful techniques for solving complex questions that arise from understanding human behavior. In this paper, we present an overview of agent-based models and its application to the field of transport planning,
Grace O. Kagho +2 more
semanticscholar +1 more source
Œconomia, 2020 This paper presents an overview of how agent-based computational economics can contribute to the study of economic systems. It highlights the way these models can improve our understanding of social interactions and coordination mechanisms and bring to ...
Sylvain Mignot, Annick Vignes
doaj +1 more source