PPT-Swarm Intelligence / Agent-based Modeling and Simulation

Swarm Intelligence Develop systems where sets of agents of agents solve problems without centralized control intelligently Agentbased Modeling and Simulation Develop models of agentbased systems in nature business society. Zach ma. ADVISOR: MUNEHIRO FUKUDA. M. ulti-Agent Transportation Simulation Using MASS. MATMASSim. What Is Transportation Simulation?. Microscopic. . Car-following model. Macroscopic. . Traffic flow model. Each agent has multiple predictors to estimate thenumber of agents who will go to the bar (such as predictionthat the number will be the same as 2 weeks ago, orprediction based on the average for the on Heterogeneous . Architectures. Jin . Wang. †. , Norman Rubin. ‡*. , . Haicheng. Wu. †. , . Sudhakar. . Yalamanchili. †. † Georgia Institute of Technology. ‡ . AMD. * The author is now affiliated with NVIDIA Research. Alexander S. Mentis. 15 October 2013. Agent-Based Modeling?. Sadly, no.. Then what is it?. Simulation. The . imitation. of the operation of a real-world process or system over time. Not to be confused with…. of Wolf Pack Behavior. Group Project ---do we have any groups yet? . Each group uses its own theme (e.g. wolf pack social behavior, wolf pack hunting behavior,…); group has the freedom to choose whatever it wants. . Perry Brown. Alexander Mathews. Image: http://www.cs264.org/2009/projects/web/Ding_Yiyang/ding-robb/pso.jpg. Introduction. Concept first introduced by Kennedy and Eberhart (1995). Original idea was to . Tina Morrison, Ph.D.. Chair, Modeling and Simulation Working Group. Office of the Chief Scientist. Deputy Director, Division of Applied Mechanics. Office of Science and Engineering Laboratories. U.S. Food and Drug Administration. Agent-based model. An . Agent-Based Model (ABM) is a computational . model for simulating the actions and interactions of autonomous individuals in a network, with a view to assessing their effects on the system as a whole.. Using High Performance Computing. Nov. ., 1. 3. , 200. 9. . AESCS. 200. 9. , Taiwan. Takao. TERANO. . Department of Computational Intelligencs & Systems Sciences. Tokyo Institute of Technology. Laili. , Y., 2018.. Elsevier. . (Companion volume . to this one). Systems . of Systems—Innovations for the 21st Century, Edited by Mo . Jamshidi. , Wiley, 2008.. Object Oriented Simulation with Hierarchical, Modular Models: Intelligent Agents and Endomorphic Agents, by Bernard P. Zeigler, Academic Press, Orlando, 1990.. Pandemic . and Seasonal Influenza Outbreaks. Milton . Soto-Ferrari. Peter Holvenstot. Diana Prieto. Elise . de . Doncker. John . Kapenga. Western Michigan University. Presentation. Introduction. Agent Model Description. Background. What is a Swarm Intelligence (SI)?. Examples from nature. Origins and Inspirations of SI. Ant Colony Optimization. Particle Swarm Optimization. What is a Swarm?. A loosely structured collection of interacting agents. Goals. What is an agent-based model. ?. Why . construct agent-based models. ?. What are the parts of an agent-based model?. How does one construct agent-based models?. What is an agent-based model?. What is an agent-based model?. “the swarm seems more intelligent than the individual in it”; insects: “the swarm exhibits behavior that individual members cannot”. Stigmergy. : indirect communication (using signs or clues placed in the environment).