Agent-based modeling
CFBM - A Framework for Data Driven Approach in Agent-Based Modeling and Simulation
... from modeling driven approach to data driven approach in Agent Based Modeling and Simulation ...such agent- based simulation ...
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GAMA : A Spatially Explicit, Multi-level, Agent-Based Modeling and Simulation Platform
... Abstract. Agent-based modeling is now widely used to investigate com- plex systems but still lacks integrated and generic tools to support the representation of features usually associated with real ...
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On using agent-based modeling and simulation for studying blockchain systems
... deployed agent-based modeling and simulation platform which allows to re- create the dynamics of systems at an agent le- vel, so that the impact of actions executed by an algorithm under ...
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Testing Carlo Cipolla's Laws of Human Stupidity with Agent-Based Modeling
... decade, agent-based modeling has become a widely accepted tool for studying the dynamics of complex systems in the social sciences [2], including economical phe- nomena like financial markets ...[3]. ...
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A Simple-to-use BDI architecture for Agent-based Modeling and Simulation
... 3 Presentation of the SimpleBDI Plug-in Architecture 3.1 Overview Consider a simple Chopper-Fire model: A chopper agent patrols, looking for fires. Whan it finds one, it tries to extinguish it by dropping water, ...
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RatKit: A Repeatable Automated Testing Toolkit for Agent-based Modeling and Simulation
... wolf agent gains energy from the eat- ing behavior that is executed in the first tick (tick value is ...wolf agent is created with an initial energy; its energy is de- creased by one for each simulation ...
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GAMA: a spatially explicit, multi-level, agent-based modeling and simulation platform
... Alexis Drogoul, Edouard Amouroux, Philippe Caillou, Benoit Gaudou, Arnaud Grignard, Patrick Taillandier, Maroussia Vavasseur, Duc-An Vo,. Jean-Daniel Zucker, Patrick Taillandier[r] ...
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GAMA 1.6: Advancing the art of complex agent-based modeling and simulation
... The first one is MAELIA project, which consists in the development of a decision-support tool for natural resource management [27] [11]. This project aims at studying the social, economic and ecological impact of water ...
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CFBM - A Framework for Data Driven Approach in Agent-Based Modeling and Simulation
... : Data flow. : Intercommunication Data warehouse system The data warehouse system is crucial in our approach as it enables to integrate data from different sources (simulation data as well as empirical data from the ...
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A Simple-to-Use BDI Architecture for Agent-Based Modeling and Simulation
... the agent beliefs and is rather limited concerning the way the plans are carried out: there is for example no possibility to have complex plans that require ...
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GAMA 1.6 : Advancing the Art of Complex Agent-Based Modeling and Simulation
... GAMA entirely relies on this meta-model to create models. The first level of agency (the model itself) describes the global topology of the model, its basic scheduling, its parameters and global behaviors, and is the ...
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Two-dimentional complex modeling of bone and joint infections using agent-based simulation
... Computational modeling represents a unique way to construct a model of BJI systems that can simulate their complex and dynamic behavior, analyze their progression, and provide insights in selecting ...
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Dynamic Agent-Based Network Generation
... Generation, Agent-based Modeling, Network ...in agent-based models to describe agents’ ...modular agent-based process of network ...an agent-based simulation ...
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Human-Agent Interaction Model Learning based on Crowdsourcing
... with a constant manual strategy (∀t, a t = 0), with a constant autonomous strategy (∀t, a t = 1) and with an online strategy op- timization provided by PROST 6 [16]. This algorithm implements Trial-based Heuristic ...
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Moral Guilt : An Agent-Based Model Analysis
... There are two main trends in guilt literature. On the one hand, part of the scholarship considers guilt a belief-based emotion, what is referred to as ‘interpersonal guilt’. The fact that an agent’s utility is ...
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A hybrid agent-oriented infrastructure for modeling manufacturing enterprises
... The agent wanting to solve the problem broadcasts a call for bids, waits for a reply for some length of time, and then awards a contract to the best offer(s) according to its selection ...
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Intelligent digital learning : Agent-based recommender system
... manager agent has an overview of all tutor policies and ...manager agent will manage newcomers and new activities (cold start ...tutor agent define the starting ...
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Agent-Based Model of Fab Lab Communities
... The minimum collective agreement is another parameter that needs initial values. We assumed that if only two out of three members in a group agree for an activity, then the group does that action collectively. Moreover, ...
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Agent-based dynamics in disaggregated growth models
... tion scheme on the basis (mainly) of input-output tables (see (Duchin and Steenge 2007)). We moreover remain in a framework where we can use as a benchmark standard optimal growth models. As far as convergence to general ...
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Agent-Based Natural Domain Modeling for Cooperative Continuous Optimization
... Problem Modeling 1 Introduction One of the major areas in which Multi-Agent Systems (MAS) have been suc- cessfully applied is the domain of combinatorial ...numerous agent-based algorithms ...
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