Author: Chairote KunpanitchakitPublisher:
ISBN:
Category : System analysis
Languages : en
Pages : 638
Book Description
Further Investigations of the Dynamic Data System Modeling Strategy by Simulations
Author: Chairote KunpanitchakitPublisher:
ISBN:
Category : System analysis
Languages : en
Pages : 638
Book Description
The Shock and Vibration Digest
Author: Annual Report
Author: University of Wisconsin--Madison. Engineering Experiment StationPublisher:
ISBN:
Category : Engineering
Languages : en
Pages : 180
Book Description
Agent-Based Simulation of Vulnerability Dynamics
Author: Cilli SobiechPublisher: Springer Science & Business Media
ISBN: 3642323642
Category : Nature
Languages : en
Pages : 232
Book Description
This thesis constitutes an extraordinary innovative research approach in transferring the concepts and methods of complex systems to risk research. It ambitiously bridges the barriers between theoretical, empirical and methodical research work and integrates these fields into one comprehensive approach of dealing with uncertainty in socio-ecological systems. The developed agent-based simulation aims at the dynamics of social vulnerability in the considered system of the German North Sea Coast. Thus, the social simulation provides an analytical method to explore the individual, relational, and spatial aspects leading to dynamics of vulnerability in society. Combining complexity science and risk research by the method of agent-based simulation hereby emphasizes the importance of understanding interrelations inside the system for the system's development, i.e. for the evolving. Based on a vulnerability assessment regarding vulnerability characteristics, present risk behavior and self-protection preferences of private households against the impacts of flooding and storm surges, possible system trajectories could be explored by means of simulation experiments. The system-analytical approach therefore contributes to an integrated consideration of multi-dimensional and context-sensitv social phenomena such as vulnerability. Furthermore it achieves conceptually and strategically relevant implications for risk research and complex systems research.
Community Based System Dynamics
Author: Peter S. HovmandPublisher: Springer Science & Business Media
ISBN: 1461487633
Category : Psychology
Languages : en
Pages : 117
Book Description
Community Based System Dynamics introduces researchers and practitioners to the design and application of participatory systems modeling with diverse communities. The book bridges community- based participatory research methods and rigorous computational modeling approaches to understanding communities as complex systems. It emphasizes the importance of community involvement both to understand the underlying system and to aid in implementation. Comprehensive in its scope, the volume includes topics that span the entire process of participatory systems modeling, from the initial engagement and conceptualization of community issues to model building, analysis, and project evaluation. Community Based System Dynamics is a highly valuable resource for anyone interested in helping to advance social justice using system dynamics, community involvement, and group model building, and helping to make communities a better place.
ESC 89
Author: David J. Murray-SmithPublisher:
ISBN:
Category : Computers
Languages : en
Pages : 858
Book Description
NASA Technical Memorandum
Author: NASA Scientific and Technical Publications
Author: Scientific and Technical Aerospace Reports
Author: Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 488
Book Description
Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.
Investigating Complex Phenomena: Bridging between Systems Thinking and Modeling in Science Education
Author: Tom BielikPublisher: Frontiers Media SA
ISBN: 2832539017
Category : Education
Languages : en
Pages : 186
Book Description
Understanding the complexity of the natural world and making sense of phenomena is one of the main goals of science and science education. When investigating complex phenomena, such as climate change or pandemic outbreaks, students are expected to engage in systems thinking by considering the boundaries of the investigated system, identifying the relevant components and their interactions, and exploring system attributes such as hierarchical organization, dynamicity, feedback loops, and emergence. Scientific models are tools that support students’ reasoning and understanding of complex systems, and students are expected to develop their modeling competence and to engage in the modeling process by constructing, testing, revising, and using models to explain and predict phenomena. Computational modeling tools, for example, provide students with the opportunity to explore big data, run simulations and investigate complex systems. Therefore, both systems thinking and modeling approaches are important for science education when investigating complex phenomena.