Results 21 to 30 of about 34,288,951 (207)
An integrated trust and reputation model for open multi-agent systems [PDF]
, 2006 Trust and reputation are central to effective interactions in open multi-agent systems in which agents, that are owned by a variety of stakeholders, continuously enter and leave the system.
Huynh, TD +5 more
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Reinforcement Learning Applied to Multi Agent Modelling, the Case of the Iranian Power Market [PDF]
Pizhūhishnāmah-i Iqtiṣād-i Inirzhī-i Īrān, 2017 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
doaj +1 more source
Agent-Based Model Exploration [PDF]
, 2015 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
openaire +3 more sources
Agent‐Based Modeling and Simulation
AI Magazine, 2012 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
openaire +3 more sources
Agent-based computational models [PDF]
, 2021 Published
Flache, Andreas +1 more
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Journal of Open Innovation: Technology, Market and Complexity, 2019 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
doaj +1 more source
An Agent-Based Classification Model [PDF]
SSRN Electronic Journal, 2007 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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Towards an agent-based model for risk-based regulation [PDF]
, 2010 Risk-based regulation has grown rapidly as a component of Government decision making, and as such, the need for an established evidence-based framework for decisions about risk has become the new mantra.
Davies, Gareth J.
core +3 more sources
The Future of Agent-Based Modeling [PDF]
Eastern Economic Journal, 2016 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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An Agent-Based Ship Firefighting Model
Journal of Marine Science and Engineering, 2021 Maritime safety is an ongoing process in shipping that is constantly being improved by the modernization of equipment and constant improvements in operators’ safety procedures and training.
Dean Sumic, Lada Males, Marko Rosic
doaj +1 more source