Clone of Understanding Systems Science

From Hieronymi's 2013 Systems Research Paper Understanding Systems Science. Systems Science as one of the clusters of interacting methods for improving health services network design and delivery using complex decision technologies IM-17952

From Hieronymi's 2013 Systems Research Paper Understanding Systems Science. Systems Science as one of the clusters of interacting methods for improving health services network design and delivery using complex decision technologies IM-17952
The purpose of systems science is to improve our thinking and acting in a complex world
Multiple disciplines contribute to Systems Science
Integration across disciplines is facilitated by Systems Theories and Methods
These methods promote useful applications and reflective experience generates better systems theories. 
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Formal logic and mathematics underpin "Systems Science"
The general abstract principles of systems science are applied to specific system types in particular reality based sciences
Particular design principles from applied sciences are generalised to methods and practices; these  focus on finding solutions and  creating things that do not exist; they deal with values and  aesthetics, the humanities.
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The subdisciplines of Systems Science are listed in historical order
Here some particular systems in applied sciences are listed
The Notes Displayed show the Applied Sciences which produce ---> Levels of Organization of Systems of Systems for that particular type of system.
The first step or principle in theories of systems is having boundaries. These separate the interlinked elements or set of interactions from the environment or surroundings.
The next step is the concept of energy flow enabling movement or activity
The next step is the concept of a system being capable of processing or computing data according to rules, a "rule-based system"
The next step is the perception of signals through sensors and its use in feedback monitoring, a "cybernetic system" 
The ability to accumulate or store energy provides reliability and stability
A system with memory can create representations and identity, and becomes a "self-referential system"
A system which maintains its state (homeostasis) can adapt or bounce back becoming adaptive or resilient
Systems that can develop new internal connections can become exploratory learning systems that evolve and transform
A system that can organize competing priorities becomes a goal-oriented system
A system that can communicate with other systems about internal conditions, knowledge, and goals through messages becomes a "communicative system" 
Forming a social network among systems creates a higher and emergent next level boundary, a new level of organization. We can now move up the staircase of this next level system of systems.
Here Systems Approaches to Change are organized in a cycle of 4 main stages  
Explore this cycle by expanding folders and reading the notes
The learning capabilities for systemic change
There are other mutual potentially reinforcing influences

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