Results 221 to 230 of about 425,473 (267)
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Modeling Malaria as a Complex Adaptive System
Artificial Life, 1997As the resistance of the malaria parasite to antimalarial drugs continues to increase, as does that of the malarial mosquito to insecticides, the efficacy of efforts to control malaria in many tropical countries is diminishing. This trend, together with the projected consequences of climate change, may prove to exacerbate substantially the ...
M. A. Janssen, W. J. M. Martens
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A COMPLEX SYSTEM ENGINEERING DESIGN MODEL
Cybernetics and Systems, 2010Competitive markets and the advanced needs of modern societies necessitate mastery and successful design of complex products and systems. The design management of complex products is the focus of this article. We pay particular attention to the fact that organizational communication management is central in the development of complex product design ...
Mahmoud Efatmaneshnik +1 more
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CBR for Modeling Complex Systems
2005This paper describes how CBR can be used to compare, reuse, and adapt inductive models that represent complex systems. Complex systems are not well understood and therefore require models for their manipulation and understanding. We propose an approach to address the challenges for using CBR in this context, which relate to finding similar inductive ...
Rosina Weber +3 more
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Abstractions for Modeling Complex Systems
2016The ever increasing popularity of model-based system- and software engineering has resulted in more and more systems—and more and more complex systems—being modeled. Hence, the problem of managing the complexity of the models themselves has gained importance.
Zsolt Lattmann +5 more
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Modeling Complex Adaptive Systems
2009The paper describes ways to model systems that dynamically change as their environment changes. The generic term complex adaptive systems (Kovacs, 2005) is increasingly used to describe systems in such environments. Complex adaptive systems are generally defined (Holland, 1995) as made up of many agents (which may represent cells, individuals, firms ...
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Modeling Complex Information Systems
2013We are living in an information society. For us it is normal to access relevant information almost immediately. In our world, information systems play an important role in our private as well as in our professional lives. When selecting or developing such systems, especially complex ones, we need to understand and model the requirements on these ...
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2017
Modeling is a necessary mechanism for understanding complex phenomena such as the messes this book is designed to help with. This chapter compares methods available for complex systems modeling. A method is then recommended for use in addressing messes.
Patrick T. Hester, Kevin MacG. Adams
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Modeling is a necessary mechanism for understanding complex phenomena such as the messes this book is designed to help with. This chapter compares methods available for complex systems modeling. A method is then recommended for use in addressing messes.
Patrick T. Hester, Kevin MacG. Adams
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2009
Empirical observations suggest that linear dynamics are not an adequate representa- tion of ecological systems and that a realistic representation would require adoption of complex nonlinear dynamical systems with characteristics encountered in complex adaptive systems (CAS).
Xepapadeas, Anastasios +1 more
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Empirical observations suggest that linear dynamics are not an adequate representa- tion of ecological systems and that a realistic representation would require adoption of complex nonlinear dynamical systems with characteristics encountered in complex adaptive systems (CAS).
Xepapadeas, Anastasios +1 more
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Advances in complex systems modeling
European Journal of Operational Research, 2005Makowski, M. +2 more
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1990
Traditionally, mathematical models of biological systems have mostly been phenomenological because of the difficulty of deriving a set of equations from first principles in the way that can typically be done in the physical sciences. Sometimes, attempts are made to fit a parametrised model to data, but the fit is usually very bad and all that is hoped ...
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Traditionally, mathematical models of biological systems have mostly been phenomenological because of the difficulty of deriving a set of equations from first principles in the way that can typically be done in the physical sciences. Sometimes, attempts are made to fit a parametrised model to data, but the fit is usually very bad and all that is hoped ...
openaire +1 more source