Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 9 of 9 for “"Multi-agent Simulation"”.
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Modeling and Analysis of Multilayer Complex Distribution System: A Multi-Agent Simulation for Decision Making
… we consider the distribution system as a multi-layers interacting complex system. The complexity of the system, characterized by several interacting layers fit in the context of physical (network), cyber, social and natural environment, cannot be captured by closed form mathematical models …
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Musical swarm robot simulation strategies
… finally human and swarm interaction. Two novel simulation programs are created in this thesis: the first is a multi-agent simulation designed to explore suitable parameters for motion to music mappings as well as parameters for real time interaction. The second is a boid-based robotic swarm …
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Modeling Group Communication in a Complex System for Achieving Group Goals
… of communication as a function of time on a multi-agent simulation based on a military distillation utilizing reinforcement learning for a group of agents. The original contribution to knowledge is a new model of cooperative learning developed as an enhanced Q-learning update function which …
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Human Behavior Modeling and Calibration in Epidemic Simulations
… epidemiologists usually employ large-scale agent-based simulations of human populations to study disease outbreaks and assess intervention strategies. Such simulations rarely take into account the decision-making process of human beings when it comes to preventive behaviors. Absence of …
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Non-Reciprocating Sharing Methods in Cooperative Q-Learning Environments
Past research on multi-agent simulation with cooperative reinforcement learning (RL) for homogeneous agents focuses on developing sharing strategies that are adopted and used by all agents in the environment. These sharing strategies are considered to be reciprocating because all participating …
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Complex Adaptive Food Supply Systems
… is critical. Recent research suggests that agent-based modeling (ABM) is an effective method of capturing complex behaviors in supply chains, particularly the interactions (e.g., coordination and cooperation) that occur among autonomous supply chain actors and the nonlinear emergent system …
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Distributed Collaborative Prognostics
… providing each machine with its own particular agent, that enables it to communicate with other similar machines in order to improve its failure predictions. This thesis implements Distributed Collaborative Prognostics in three different scenarios: (i) using a multi-agent simulation framework, …
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MASFENON: a multi-agent HPC framework for dynamic simulations of interconnected complex systems [MASFENON: un framework HPC multi-agente per simulazioni dinamiche di sistemi complessi interconnessi]
… Questa ricerca di dottorato introduce il Multi-Agent Adaptive Simulation Framework for Evolution in Networks of Networks (MASFENON), un framework di simulazione multilivello ad alte prestazioni progettato per modellare e analizzare processi dinamici all'interno di sistemi interconnessi. …
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Scalable Autonomous Network Control using Minimally Informed Agents
… where assets, controlled by individual agents, use only limited network information to each inform live autonomous control. This is completed in networks of telecoms - studied since information packet delivery speed is observable in computational environments - and supply chain financing …