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Agent-based model

Known as: Agent based modeling, Agent based model, Agent-based programming 
An agent-based model (ABM) is one of a class of computational models for simulating the actions and interactions of autonomous agents (both… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
Multiagent Reinforcement Learning (RL) solves complex tasks that require coordination with other agents through autonomous… Expand
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Review
2019
Review
2019
Deep reinforcement learning (RL) has achieved outstanding results in recent years. This has led to a dramatic increase in the… Expand
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Review
2019
Review
2019
Abstract This study develops a standardised checklist approach to improve the reporting of discrete-event simulation, system… Expand
Review
2019
Review
2019
ABSTRACT Hybrid simulation (defined as a modelling approach that combines two or more of the following methods: discrete-event… Expand
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Review
2018
Review
2018
Fixed-time cooperative control is currently a hot research topic in multiagent systems since it can provide a guaranteed settling… Expand
Review
2018
Review
2018
The term tipping point has experienced explosive popularity across multiple disciplines over the last decade. Research on social… Expand
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Review
2018
Review
2018
Optimization problems arising in real-life transportation and logistics need to consider uncertainty conditions (e.g., stochastic… Expand
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Review
2018
Review
2018
Emerging technologies such as the Internet of Things (IoT) require latency-aware computation for real-time application processing… Expand
Review
2017
Review
2017
Agent-based modeling and simulation (ABMS) is a new approach to modeling systems comprised of autonomous, interacting agents… Expand
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Highly Cited
2011
Highly Cited
2011
Agent-based modeling is a new technique for understanding how the dynamics of biological, social, and other complex systems arise… Expand