Results 11 to 20 of about 831,999 (267)
Agent-Based Models and Individualism: Is the World Agent-Based? [PDF]
Agent-based models (ABMs) are an increasingly popular tool in the social sciences. This trend seems likely to continue, so that they will become widely used in geography and in urban and regional planning. We present an overview of examples of these models in the life sciences, economics, planning, sociology, and archaeology.
David O'Sullivan, Mordechai Haklay
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Reinforcement Learning Applied to Multi Agent Modelling, the Case of the Iranian Power Market [PDF]
With increasing competition in the wholesale Electricity markets and advances in behavioral economics in recent years, the multi-agent modeling approach has been applied widely to simulate the outcome of the markets.
Mohammadreza Asghari Oskoei +3 more
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Agent-Based Model Exploration [PDF]
The previous chapters have allowed us to introduce the basics of agent-based model creation with NetLogo. This has resulted in a model such as the one used in our running example. Once the model has been built, the aim is to manipulate it in such a way that new knowledge about the modeled phenomenon can be created.
Banos, Arnaud +3 more
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Agent-based computational models [PDF]
Published
Flache, Andreas +1 more
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Agent‐Based Modeling and Simulation
This article gives an introduction to agent‐based modeling and simulation (ABMS). After a general discussion about modeling and simulation, we address the basic concept of ABMS, focusing on its generative and bottom‐up nature, its advantages as well as its pitfalls.
Franziska Klügl, Ana L. C. Bazzan
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Despite its importance to the performance outcome of an organization, there are very few studies on how feedback mechanism impacts ecosystems of government-funded research institutes (GIs).
Namjun Cha, Junseok Hwang, Eungdo Kim
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An Agent-Based Classification Model [PDF]
The major function of this model is to access the UCI Wisconsin Breast Can- cer data-set[1] and classify the data items into two categories, which are normal and anomalous. This kind of classifi cation can be referred as anomaly detection, which discriminates anomalous behaviour from normal behaviour in computer systems.
Feng Gu 0006 +2 more
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The Future of Agent-Based Modeling [PDF]
In this paper, I elaborate on the role of agent-based (AB) modeling for macroeconomic research. My main tenet is that the full potential of the AB approach has not been realized yet. This potential lies in the modular nature of the models, which is bought by abandoning the straitjacket of rational expectations and embracing an evolutionary perspective.
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Over the past few decades, numerous researchers have improved measurements of land use change through representation of much more complex processes of land use and its impact on water resources.
Y. E. Woyessa +2 more
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Econophysics of Agent-Based Models [PDF]
Agent-based modeling of zapping behavior of viewers, television commercial allocation, and advertisement markets by Hiroyuki Kyan and Jun-ichi Inoue.- Agent based modeling of Housing asset bubble: A simple utility function based investigation by Kausik Gangopadhyay and Kousik Guhathakurta.- Urn model-based adaptive Multi-arm clinical trials: A ...
Abergel, Frédéric +4 more
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