Приклади вживання Agent-based Англійська мовою та їх переклад на Українською
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Keywords: agent-based models.
Agent-Based Social Simulation.
This idea is referred to as an agent-based model.
Agent-based modelling: basic ideas and perspectives.
Generative social science: studies in agent-based computational modeling.
Agent-based model is a modeling approach of complex systems.
Three main fields in ABSS are agent-based computing, social science, and computer simulation.
Agent-based Approach Characterized by autonomous, interacting individuals.
The main purpose of ABSS is to provide models and tools for agent-based simulation of social phenomena.
In some ways, agent-based models complement traditional analytic methods.
These include fields like sociological social psychology, social networks,dynamic network analysis, agent-based model and microsimulation.
Cellular automata and agent-based modeling are complementary modeling strategies.
The role of the environment where agents live, both macro and micro,is also becoming an important factor in agent-based modelling and simulation work.
CSIM can be used for modeling: agent-based systems, logistics, wireless networks, computer networks.
Agent-based models have been used since the mid-1990s to solve a variety of business and technology problems.
An academic article investigates an agent-based simulation of information diffusion in Facebook online social network.[4].
Agent-based models have also been used for developing decision support systems such as for breast cancer.
Where analytic methodsenable humans to characterize the equilibria of a system, agent-based models allow the possibility of generating those equilibria.
Moreover, agent-based models have been recently employed to study molecular-level biological systems.
In the early 1980s, Robert Axelrod hosted a tournament of Prisoner's Dilemma strategies andhad them interact in an agent-based manner to determine a winner.
Game theory and agent-based models are used to capture and study strategic behavior within electricity markets.[21][22][23].
Agent-based social simulation is scientific discipline concerned with simulation of social phenomena, using computer-based multiagent models.
Other methods of describing agent-based models include code templates and text-based methods such as the ODD(Overview, Design concepts, and Design Details) protocol.
Agent-based computing is the design of the model and agents, while the computer simulation is the part of the simulation of the agents in the model and the outcomes.
Agent-based models also can be used to identify lever points, defined as moments in time in which interventions have extreme consequences.
Agent-based modeling uses software entities(agents) that have purposeful behavior(goals) and can react, interact and modify their environment while seeking their objectives.
Agent-based models are a kind of micro scale model that simulate the simultaneous operations and interactions of multiple agents in an attempt to re-create and predict the appearance of complex phenomena.
Agent-based social simulation(or ABSS)[1][2] consists of social simulations that are based on agent-based modeling, and implemented using artificial agent technologies.
Agent-based models are a kind of microscale model[3] that simulate the simultaneous operations and interactions of multiple agents in an attempt to re-create and predict the appearance of complex phenomena.
Agent-based modeling has been shown to have promise in other fields, especially physics- and also in modeling real-world problems like the tendency for Brazil nuts to levitate toward the top of the mixed-nut package.