Introduction. Setting the stage: complex systems, emergence and evolution. X-machines and Agents. Multi-agent approach using FLAME as an example. Steps to writing your first model. Application to Discipline of Biology. Modeling Biological Scenarios. Application to Discipline of Sociology. Modeling Social networks. Application to Discipline of Economics. Modeling Economic markets and Games. Discussions on Agent-based Modeling as a technique to aid your research. How can you extend X-machine agents for learning behavior? How to validate and verify agent based models. Parallelization of agent-based models. Appendices. References.
Biography
Dr. Mariam Kiran is a well-recognized researcher in agent-based modeling, high performance simulations and cloud computing. She has published numerous papers in these fields, both, in theory and practical implementations, exploiting grid and cloud ecosystems for improving computational performance for multi-domain research. She has an extensive record of research collaborations across the world, serving as a board member for Complex Systems research in CoMSES, and several joint projects funded by European Research and UK Engineering Council. She is also active in education research of software engineering in team building and writing software for simulations.
Mariam Kiran received her PhD in Computer Science from University of Sheffield, Sheffield UK in 2010. She is currently involved in many projects at Lawrence Berkeley National Labs, California, optimizing high performance computing problems across various disciplines. Prior to this, she was working as an Associate Professor at University of Bradford, leading the Cloud Computing research in the School.
