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What is Complex System

Handbook of Research on Systems Biology Applications in Medicine
Such systems (e.g.: a cell, an organ, a whole human body) are complex because of the large number of players involved and/or because of their time and context dependent interactions. The nature of these interactions or regulatory motifs (e.g.: positive or negative feed-back loop, feed-forward loop) increase the complexity of even a simple system with only a handfull of variables.
Published in Chapter:
Systems Biology Applied to Cancer Research
R. Seigneuric (GROW Research Institute, University of Maastricht, The Netherlands), N.A.W. van Riel (Eindhoven University of Technology, The Netherlands), M.H.W. Starmans (GROW Research Institute, University of Maastricht, The Netherlands), and A. van Erk (University of Maastricht, The Netherlands)
Copyright: © 2009 |Pages: 15
DOI: 10.4018/978-1-60566-076-9.ch020
Abstract
Complex diseases such as cancer have multiple origins and are therefore difficult to understand and cure. Highly parallel technologies such as DNA microarrays are now available. These provide a data deluge which needs to be mined for relevant information and integrated to existing knowledge at different scales. Systems Biology is a recent field which intends to overcome these challenges by combining different disciplines and provide an analytical framework. Some of these challenges are discussed in this chapter.
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Knowledge Intensive Work in a Network of Counter-Terrorism Communities
A complex system has many elements involved in non-linear interactions, making precise predictions impossible.
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Modeling an Artificial Stock Market
(1) A system that constantly evolve and unfolded over time (Arthur, 2000 AU17: The in-text citation "Arthur, 2000" is not in the reference list. Please correct the citation, add the reference to the list, or delete the citation. ). (2) A system with multiple elements adapting or reacting to the pattern these elements create (Arthur, 2000 AU18: The in-text citation "Arthur, 2000" is not in the reference list. Please correct the citation, add the reference to the list, or delete the citation. ). (3) A system in which the information-processing capacities of agents are limited relative to the information available to them ( Moss & Rae, 1992 ).
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Dynamical Systems Approach for Predator-Prey Robot Behavior Control via Symbolic Dynamics Based Communication
An emerging discipline of science that involves the analysis of the interaction and behavior of sub parts of a system and its elementary constituents together with the collective system which govern in the emergence of patterns of behavior demonstrating non- linear dynamics. It aids in understanding how interactions of the components with its environment result in the rise of patterns by quantification of its variables and parameters. It encompasses disciplines of science and biological systems, engineering, and management. The emergent behavior demonstrated is neither completely ordered and predictable, nor completely random and unpredictable. These systems generate patterns and hierarchy of structures that emerge due to its attractor.
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Complex Systems Modeling by Cellular Automata
A typical complex system consists of a vast number of identical copies of several generic processes, which are operating and interacting only locally or with a limited number of not necessary close neighbours. There is no global leader or controller associated to such systems and the resulting behaviour is usually very complex.
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Fostering Creative Problem Solvers in Higher Education: A Response to Complexity of Societies
A complex system means a system whose perceived complicated behaviors can be attributed to one or more of the following characteristics: large number of element, large number of relationships among elements, non-linear and discontinuous relationship, and uncertain characteristics of elements.
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Application of Complexity Theory in Representation of the City
A system characterized by the number of the elements that constitute it, and by the nature of the interactions between these elements.
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Binary Decision Diagram Reliability for Multiple Robot Complex System
A system having multiple components and sub-components making it difficult to evaluate its performance.
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Designing BioSim: Playfully Encouraging Systems Thinking in Young Children
System made up of many interconnected elements on various levels; interactions on lower levels give rise to events on higher levels.
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Management Science for Healthcare Applications
A system that exhibits a mutual interdependency of components and for which a change in the input parameter(s) can result in a non-proportional large or small change of the system output.
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Modelling of Consumer Goods Markets: An Agent-Based Computational Approach
A system which is usually composed of large number of possibly heterogeneous interacting agents, which are seen to exhibit emergent behavior. Emergence implies that system level behavior (macro level) cannot be inferred from observation of individual level behavior of its constituents (micro level). This absence of explicit links between the micro and macro levels makes complex systems especially difficult to analyze using traditional statistical and analytical techniques to study the dynamics of behavior. One typically requires the use of bottom up simulation based methods to study such systems. Complex systems are ubiquitous – markets, societies, social networks, the Internet, weather, ecosystems, are just a few examples.
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Learning Systems Engineering
A collection of interrelated elements organized to accomplish a specific function or a set of functions. Complexity can be considered in terms of a number of elements and/or complexity of relationships.
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Application of System Dynamics in a Gasoline Service Station: Decision Making Using Graphical Interface
It is the relationship that occurs between the set of events that are represented by variables and parameters, that interacting and growing in events shapes the complexity of organizations and allows to exploit more information for decision making in different situations.
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Modelling and Simulation of the Need for Harmonizing the European Higher Education Systems
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Health Systems Simulation
A highly coupled system where the outcomes of the system are the result of the interactions that occur between its different components.
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