Examples of 'agent-based' in a sentence
Meaning of "agent-based"
agent-based (verb) - In the context of computer science or modeling, refers to a system or approach that relies on autonomous agents to perform tasks or make decisions based on predefined rules or behaviors
How to use "agent-based" in a sentence
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agent-based
This idea is referred to as an agent-based model.
Software agent-based infrastructure for electronic catalogues.
Information flow modelling and agent-based simulation.
Agent-based model is a modeling approach of complex systems.
This article provides a discussion on agent-based modeling.
Agent-based modelling was originally based on social simulation.
There are two possible approaches to agent-based modelling.
Agent-based computational macroeconomic models.
Cellular automata and agent-based models in urban modelling.
An agent-based model to simulate absorption capacity in organizations.
The results will be used to develop an agent-based model.
This model is an agent-based population genetics simulation.
An alternative approach with experimental dimensions is agent-based computational modeling.
All interactions are agent-based interactions and they are recorded.
Agent-based models are being created by researchers from increasingly diverse fields.
See also
This book integrates agent-based modeling and network science.
Agent-based social simulations are often used during research of new hypothesis.
Modeling of complex systems through agent-based simulation and system dynamics.
Agent-based modelling is a powerful approach for studying such a collective process.
It allows reproducing households lifecycle evolutions in a dynamic and agent-based way.
Cellular automata and agent-based modeling are complementary modeling strategies.
The chosen methodology is based on the paradigm of agent-based modeling and simulation.
Agent-based modeling is a powerfull approach for studying such a collective process.
Using building information and agent-based modelling to simulate people flow in buildings.
Agent-based computational modeling is a relatively recent method in economics with experimental dimensions.
There is always a dilemma between choosing agent-based and agentless discovery techniques.
You favour agent-based modelling as an alternative method to study agents ' interactions.
Two fundamentally spatial simulation methods are cellular automata and agent-based modeling.
Agent-based simulation of wireless sensor and ad hoc networks is a relatively new paradigm.
The approach used lies on tools from statistical physics an agent-based modelling.
Agent-based modelling produces comprehensible results about the performance of a modelled platform.
Basically MATSim provides a toolbox to implement large-scale agent-based transport simulations.
Agentless or agent-based deployment gives you flexible solutions for a variety of workflows.
Mobidyc is a tool for building and using agent-based models relating to population dynamics.
However, agent-based models enable us to scientifically test complex behaviour and their interactions.
This research performs a simulation of an agent-based computational model that explores opinion dynamics.
Agent-based modeling is nowadays becoming increasingly popular for the study of complex systems.
Specifically, we investigate the coupling of agent-based simulations and inverse problem resolution methods.
They subsequently developed the algorithms necessary for the implementation of an agent-based system.
The topic is approached through agent-based simulations, which is a useful methodology in theory development.
The conventional bottom-up approach is thus extended through agent-based attitude modeling techniques.
Figure 6 shows an agent-based system for mobility support according to the present invention.
Modelling the impact of beliefs and communication on attitude dynamics, a cognitive agent-based approach.
Agent-based modeling is a method to study phenomena which naturally comprise of individual actors, called agents.
The toolkit includes dozens of the most useful algorithms for agent-based search.
Allow human experts and autonomous agent-based analytic services to augment one another 's efforts.
Agent-based systems are well-suited for modelling inviduals and their actions within an environment.
A discrete-event simulation framework approach for the validation of agent-based systems has been proposed.
Significantly, agent-based models can regulate behaviors based on interactions at a specific distance and direction.
This can be delivered through a blended automatized and agent-based solution or through a fully automatized solution.
