PPT-GENESIS: An agent-based model of

interdomain network formation traffic flow and economics Aemen Lodhi Georgia Tech Amogh Dhamdhere CAIDA Constantine Dovrolis Georgia Tech 1 31 st  Annual IEEE International Conference on Computer Communications IEEE INFOCOM 2012. 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. simia. ), . Gabriel von Max, Prague painter (1840-1915). Towards C. omputational. . Models. of Artificial Cognitive Systems . That Can, in Principle, . Pass the Turing test. Jiri Wiedermann. Institute of Computer Science, Prague . on Heterogeneous . Architectures. Jin . Wang. †. , Norman Rubin. ‡*. , . Haicheng. Wu. †. , . Sudhakar. . Yalamanchili. †. † Georgia Institute of Technology. ‡ . AMD. * The author is now affiliated with NVIDIA Research. Interdomain. Network . F. ormation, Dynamics & Economics . Aemen. . Lodhi. . (Georgia Tech). 1. Workshop on Internet Topology & Economics (WITE’12). Outline. Agent-based modeling for AS-level Internet. Piper Jackson. PhD Candidate. Software Technology Lab. School of Computing Science. Simon Fraser University. Von Neumann machines:. Self-reproducing. Cellular Automata. Object oriented programming (OOP. Lectures for Math 285J. UCLA. REFERENCES. R. A. . Hegemann. , L. M. Smith, A. . Barbaro. , A. L. Bertozzi, S. Reid, and G. E. . Tita. , . Geographical influences of an emerging network of gang rivalries, . Venkata. . Marella. Introduction. This model is applicable in situations where. - access policy information may be distributed and independently maintained.. -the permissions to access the resources change frequently.. 1. Definition of Agent. Anything that:. Perceives. its environment. Acts. upon its environment. A.k.a. controller,. robot. 2. Definition of “Environment”. The real world, or a virtual world. Rules of math/formal logic. Modelling. Agent . B. ased Models. Agents. Agents represent entities in a system which are able to perform actions, and respond to local information according to a set of rules.. Intelligent software agents are often designed around 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. 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. 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. 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?.