PPT-Agent Based Models for Gang Rivalries

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 . Agent-based models could help to evaluate policies designed to foster economic recovery.P. NOBLE/R Vol 4606 August 2009 OPINION universe, in which many players can act in complex — and realistic The Absence of Peace In The Family of God. Sibling Rivalries . Cain & Abel – . Gen. 4:1-9. Ishmael & Isaac – . Gen. 21:8-10. Esau & Jacob – . Gen. 25:21-28. What action next? . The $$$$$$ Question. “history” = {s0,s1,s2……sn….}. Performance = . f. (history). Expected Performance= E(f(history)). Rational != Intentionally avoiding sensing. and prior knowledge. on Heterogeneous . Architectures. Jin . Wang. †. , Norman Rubin. ‡*. , . Haicheng. Wu. †. , . Sudhakar. . Yalamanchili. †. † Georgia Institute of Technology. ‡ . AMD. * The author is now affiliated with NVIDIA Research. (Research Proposal). Jennifer Horkoff. 1. Eric Yu. 2. Department of Computer Science. 1. Faculty of Information. 2. jenhork@cs.utoronto.ca. . yu@ischool.utoronto.ca. University of Toronto. June 7, 2010. 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. 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. 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. . Mathew Willmott. California Digital Library. 3. rd. ESAC Workshop:. On the Effectiveness of APCs. June 29, 2018. About CDL/UC. About CDL/UC: Background. Serves 190,000 faculty and staff and 239,000 students across the 10 campuses of the University of California system. 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?. Combinatorial optimization methods for agent-based modeling. Matthew . Oremland. Mathematical Biosciences Institute. Ohio State University. oremland.2@osu.edu. overview. ABMs in biology. Toy model for demonstration. AJ Yoak. 1. , . RB Garabed. 1. , AH Delgado. 2. 1 The Ohio State University, Department of Veterinary Preventive Medicine. 2 Center for Epidemiology and Animal Health, US Department of Agriculture. Modeling Foot and Mouth.