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Agent-Based Simulation: From Modeling Methodologies to Real-World Applications

Agent-based modelingsimulation is an emerging field that uses bottom-up and experimental analysis in the social sciences. Selected;

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Multi-Agent-based Simulation IX

improvement and were selected from 44 submissions; they present state-of-the-art research results in agent-based simulation and modeling. The papers;

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Multiscale Simulation Methods for Nanomaterials

simulation. It presents real-world applications of simulated and synthesized materials, including organic-, inorganic-, bio-, and nanomaterials, and;

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Multi-Agent Systems

Methodological Guidelines for Modeling and Developing MAS-Based Simulations The intersection of agents, modeling, simulation, and;

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Modeling and Simulation of Complex Systems

execution of agent-based models -from small scale to very large scale. The author shows how agent-based models may be executed by different;

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Agent-Based Modeling and Simulation with Swarm

Swarm-based multi-agent simulation leads to better modeling of tasks in biology, engineering, economics, art, and many other areas. It also;

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Agent-Based Modeling and Simulation with Swarm

Swarm-based multi-agent simulation leads to better modeling of tasks in biology, engineering, economics, art, and many other areas. It also;

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Multi-Agent Based Simulation XVII

topic of the papers is about modeling and analyzing multi-agent systems and applying agent-based simulation techniques to real-world problems;

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Simulation and Modeling Methodologies, Technologies and Applications

Methodologies, Technologies and Applications (SIMULTECH 2019), that was held in Prague, Czech Republic, from 29 to 31 July 2019. The conference brought;

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Spatial Agent Based Simulation

combination of knowledge from entomological, epidemiological, simulation-based, and geo-spatial domains in order to identify and analyze relationships;

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Agent-Based Spatial Simulation with NetLogo Volume 1

Agent-based modeling is a flexible and intuitive approach that is close to both data and theories, which gives it a special position;

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Empirical Agent-Based Modelling - Challenges and Solutions

This instructional book showcases techniques to parameterise human agents in empirical agent-based models (ABM). In doing so, it provides a;

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Discrete-Event Modeling and Simulation

advances, recent extensions of formal techniques, and real-world examples of various applications. The book covers many topics that pertain to;

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Modeling and Simulation of Computer Networks and Systems

methodologies, strategies and tools needed to build computer networks and systems modeling and simulation from the bottom up Includes;

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Simulation and Modeling Methodologies, Technologies and Applications

This book includes a selection of papers from the 8th International Conference on Simulation and Modeling Methodologies, Technologies and;

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Handbook of Real-World Applications in Modeling and Simulation

modeling and simulation methods and paradigms that are used to explain and solve the predominant challenges across real-world applied domains;

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Agent Based Modelling of Urban Systems

This book constitutes revised, selected, and invited papers from the First International Workshop on Agent Based Modelling of Urban Systems;

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Dynamic Systems Biology Modeling and Simulation

mathematical modeling and computer simulation of dynamic biological systems - from molecular/cellular, organ-system, on up to population levels. The;

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Simulation for Data Science with R

agent-based micro-, model- and design-based simulations * Applications to design statistical solutions with R for solving scientific and real;

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Modeling and Simulation Set

. This book guides readers in developing quantitative and numeric representations of real-world events based on qualitative analysis. With an;

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Modeling and Simulation for Analyzing Global Events

in social science disciplines. This book guides readers in developing quantitative and numeric representations of real-world events based on;

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Modeling and Simulation in the Medical and Health Sciences

developed to augment real-world conditions for training or experimentation purposes. The virtual mode is perhaps the most fascinating as virtual;

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User Participation Simulation For Online Communities

participation. However, running online community experiments in the real world is expensive, and requires a great deal of motivation from users. In this;

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Agricultural Systems Modeling and Simulation

. The book discusses methodologies from linear programming and neutral networks, to expert or decision support systems, as well as featuring;

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Agricultural Systems Modeling and Simulation

. The book discusses methodologies from linear programming and neutral networks, to expert or decision support systems, as well as featuring;

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Agent-based Modeling and Simulation in Archaeology

Archaeology has been historically reluctant to embrace the subject of agent-based simulation, since it was seen as being used to re-enact;

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Nasdaq Market Simulation, A

This pioneering book describes the applications of agent-based modeling to financial markets. It presents a new paradigm for finance, where;

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