Results 1 to 10 of about 2,509,130 (293)
Comparative study of the efficiency of the urban development Agent based model and Markov chain Cellular Automata model for urban development simulation in the Neyshabur [PDF]
In recent decades due to the rapid and unplanned growth of cities, urban management has been faced with several issues, including models and patterns of urban development and the selection of optimal options for location.
hasan mahmoodzadeh, afsaneh naghdbishi
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This paper presents an agent-based model that illustrates creative-social entrepreneurial behaviour and its impact on socio-economic development and local resources sustainability.
Anggraeni Permatasari +2 more
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Experimenting with Agent-Based Model Simulation Tools
Agent-based models (ABMs) are one of the most effective and successful methods for analyzing real-world complex systems by investigating how modeling interactions on the individual level (i.e., micro-level) leads to the understanding of emergent ...
Alessia Antelmi +4 more
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Dynamics of Indoctrination in Small Groups around Three Options
In this work, we consider the dynamics of opinion among three parties: two small groups of agents and one very persuasive agent, the indoctrinator. Each party holds a position different from that of the others.
Kurmyshev Evguenii +2 more
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Effectiveness of Rastra Bulog Rice Distribution Using Agent Based Modeling and Simulation Tools
The Rastra Rice Program is one of the programs planned by the government to reduce the burden on target households (RTS – Rumah Tangga Sasaran). This program provides relief to the community by distributing Rastra Rice which is suitable for consumption.
Roro Arinda Reswanti Julian Pratama +1 more
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Inequalities in wealth, income, access to food and healthcare have been rising worldwide in the past decades, approaching levels seen in the early 20th century. Here we study the relationships between wealth inequality and mobility for different segments
Caterina A M La Porta, Stefano Zapperi
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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.
Gu, Feng +2 more
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Agent Based Model of Anti-Vaccination Movements: Simulations and Comparison with Empirical Data
Background: A realistic description of the social processes leading to the increasing reluctance to various forms of vaccination is a very challenging task.
Pawel Sobkowicz, Antoni Sobkowicz
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A Framework for Implementing Metaheuristic Algorithms Using Intercellular Communication
Metaheuristics (MH) are Artificial Intelligence procedures that frequently rely on evolution. MH approximate difficult problem solutions, but are computationally costly as they explore large solution spaces.
Yerko Ortiz +3 more
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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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