Results 61 to 70 of about 24,645,095 (247)
Bottom-up ecology: an agent-based model on the interactions between competition and predation
Letters in Biomathematics, 2016 We developed an agent-based computer model of an ecosystem to predict interactions of competition and predation. In our simulations of the model, the effects of the ‘Gause law’ emerged as the results of population fluctuations and a large number of ...
Istvan Karsai +2 more
doaj +1 more source
Agent-Based Simulation of Group Learning
, 2008 We construct groups of simulated learnersthat model the behaviour of humans acting in various learning environments, with the aims of studying group learningand focusing on the effects of different goal structureson individuals and groups of learners. Three sets of research objectives are investigated: (1) imitating the behaviour of human learners with
M. Spoelstra, Elizabeth Sklar
openaire +3 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Multisystemic smooth muscle dysfunction syndrome (MSMDS) is an ultra‐rare, ACTA2‐related disorder characterized by severe cerebrovascular disease, aortic aneurysms, and smooth muscle dysfunction. Using molecular dynamics simulations and in silico drug screening, we identified that sapropterin dihydrochloride (Kuvan) is a candidate capable of ...
Moran Hausman‐Kedem +9 more
wiley +1 more source
Manifesto da ciência social computacional
Mediações: Revista de Ciências Sociais, 2013 A crescente integração da tecnologia em nossas vidas criou volumes sem precedentes de dados sobre o comportamento cotidiano da sociedade. Esses dados abrem novas oportunidades para se trabalhar em direção a um entendimento quantitativo dos sistemas ...
Rosaria Conte +13 more
doaj
Arthritis Care &Research, EarlyView.Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah +4 more
wiley +1 more source
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source
Special Issue “Multi-Agent Systems”: Editorial
Applied Sciences, 2019 Multi-agent systems (MAS) allow and promote the development of distributed and intelligent applications in complex and dynamic environments. Applications of this kind have a crucial role in our everyday life, as witnessed by the broad range of domains ...
Stefano Mariani, Andrea Omicini
doaj +1 more source
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
System Issues in Multi-agent Simulation of Large Crowds
, 2007 Crowd simulation is a complex and challenging domain. Crowds demonstrate many complex behaviours and are consequently difficult to model for realistic simulation systems.
Kota, Ramachandra +2 more
core +1 more source
Advanced Engineering Materials, EarlyView.This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi +4 more
wiley +1 more source