Results 21 to 30 of about 13,885,691 (303)
S3: Social-network Simulation System with Large Language Model-Empowered Agents [PDF]
Social network simulation plays a crucial role in addressing various challenges within social science. It offers extensive applications such as state prediction, phenomena explanation, and policy-making support, among others. In this work, we harness the
Chen Gao +7 more
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Simulating the Social Processes of Science [PDF]
Science is the result of a substantially social process. That is, science relies on many inter-personal processes, including: selection and communication of research findings, discussion of method, checking and judgement of others' research, development of norms of scientific behaviour, organisation of the application of specialist skills/tools, and ...
Bruce Edmonds +3 more
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Multiagent Diffusion and Opinion Dynamics Model Interaction Effects on Controversial Products
When controversial products are introduced, effective promotion efforts and eventual public acceptance require consideration of multiple factors such as existing social network structures, numbers of pioneers and their locations, and appropriate methods ...
Sheng-Wen Wang +2 more
doaj +1 more source
The interoceptive origins of mental imagery: an evolutionary account [PDF]
Juha Silvanto, Juha Silvanto
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ACoPla: a Multiagent Simulator to Study Individual Strategies in Dynamic Situations
One important issue in multi-agent systems is how to define agents’ interaction strategies in dynamic open environments. Generally, agents’ behaviors, such as being cooperative/altruistic or competitive/adversarial, are defined a priori by their creators.
Ana Cristina BICHARRA GARCIA +1 more
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Multiagent Simulators for Social Networks
Multiagent social network simulations are an avenue that can bridge the communication gap between the public and private platforms in order to develop solutions to a complex array of issues relating to online safety. While there are significant challenges relating to the scale of multiagent simulations, efficient learning from observational and ...
Aditya Surve +7 more
openaire +2 more sources
Social Simulation in the Social Sciences
This article provides an overview of the social simulation approach to the study of social phenomena. We focus especially on the relevance of heterogeneity of social behavior and dynamics and the complex interplay of agent behavior and social structure.
SQUAZZONI, Flaminio +2 more
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From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents [PDF]
Traditional sociological research often relies on human participation, which, though effective, is expensive, challenging to scale, and with ethical concerns. Recent advancements in large language models (LLMs) highlight their potential to simulate human
Xinyi Mou +10 more
semanticscholar +1 more source
Social contagion and homophily within romantic networks: A simulation analysis
La logique du social anticipated, 35 years ago, the current conception of complex adaptive systems, where agents behave following some kind of rational behavior, interact among themselves and, as a result of those interactions, produce an unintended ...
Francisco Linares Martínez
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Approaches using both real data and social simulations have been proposed to address economic and social problems. Understanding the structure of models and the results of simulations may be used by not only model developers and analysts but also by ...
Takamasa Kikuchi +2 more
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