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Agent-Based Modeling and Simulation with Swarm

facilitates an understanding of complicated phenomena that cannot be solved analytically. Agent-Based Modeling and Simulation with Swarm provides the;

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Agent-Based Modeling and Simulation with Swarm

facilitates an understanding of complicated phenomena that cannot be solved analytically. Agent-Based Modeling and Simulation with Swarm provides the;

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Modeling and Simulation of Complex Systems

Robert Siegfried presents a framework for efficient agent-based modeling and simulation of complex systems. He compares different;

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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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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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Spatial Agent Based Simulation

Bridging the gap between agent-based modeling and simulation (ABMS) and geographic information systems (GIS), Spatial Agent-Based Simulation;

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Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection

Agents; Workshop on Swarm Intelligence and Swarm Robotics; Workshop on Multi-Agent Systems and Simulation.;

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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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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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Agent-based Modeling and Simulation in Archaeology

in exact terms and programming as a means for producing agent-based simulations were simply beyond the field of the social sciences. This;

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Advances in Computational Modeling Research

modelling, simulation and optimisation of resources management in hospital emergency departments using the agent-based approach; computational;

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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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Agent-based Spatial Simulation with NetLogo, Volume 2

modeling of spatialized phenomena with a methodological and practical orientation, demonstrating how advanced agent-based spatial simulation;

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Advances in Swarm and Computational Intelligence

-based optimization algorithms and applications; particle swarm opt8imization; ant colony optimization; artificial bee colony algorithms;

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Advances in Swarm and Computational Intelligence

-based optimization algorithms and applications; particle swarm opt8imization; ant colony optimization; artificial bee colony algorithms;

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Advances in Swarm and Computational Intelligence

-based optimization algorithms and applications; particle swarm opt8imization; ant colony optimization; artificial bee colony algorithms;

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Advances in Computational Social Science

conference in the area of agent-based social simulation. The papers selected for this volume give a holistic view of the current development;

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X-Machines for Agent-Based Modeling

describes the basics of FLAME and is illustrated with numerous examples. -Professor Mike Holcombe, University of Sheffield, UK Agent-based;

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X-Machines for Agent-Based Modeling

describes the basics of FLAME and is illustrated with numerous examples. -Professor Mike Holcombe, University of Sheffield, UK Agent-based;

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Modeling and Simulation in Engineering

will gain knowledge and skills to be able to work with real complex systems. The simulation process investigates the system features and;

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Cognitive Agent-based Computing-I

emergent behavior observable at the global scale. Agent-based modeling and simulation is a proven paradigm which has previously been used for;

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Multi-agent and Complex Systems

This book provides a description of advanced multi-agent and artificial intelligence technologies for the modeling and simulation;

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Modeling and Simulation for Analyzing Global Events

discussed. Modeling Paradigms -examines various methods of modeling including system dynamics, agent-based modeling, social network modeling, and;

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Catastrophes and Unexpected Behavior Patterns in Complex Artificial Populations

. Several examples of artificial society simulations are provided as the main topic of the book. With agent-based modeling, possible catastrophes;

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Catastrophes and Unexpected Behavior Patterns in Complex Artificial Populations

. Several examples of artificial society simulations are provided as the main topic of the book. With agent-based modeling, possible catastrophes;

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Multi-agent Based Simulation XVI

emphasis is stressed on exploratory agent based simulation as a principled way of undertaking scientific research in the social sciences and;

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