Abstract System Model

A Abstract System Model is a conceptual system model that represents system structures, system behaviors, and system properties through abstract representations without physical instantiations.

• AKA: Conceptual System Model, Theoretical System Model, Abstract Model, Non-Physical System Model.
• Context:
  • It can typically represent System Properties through abstract system model formalisms.
  • It can typically capture System Relationships via abstract system model structures.
  • It can typically enable System Analysis through abstract system model reasoning.
  • It can typically support System Understanding via abstract system model visualizations.
  • It can typically facilitate System Design through abstract system model specifications.
  • It can typically express System Constraints through abstract system model rules.
  • ...
  • It can often provide System Abstractions for abstract system model complexity management.
  • It can often enable System Simulation through abstract system model computations.
  • It can often support System Verification via abstract system model formal methods.
  • It can often facilitate System Communication through abstract system model notations.
  • It can often predict System Behaviors through abstract system model analytical frameworks.
  • It can often encompass Semantic Models when focusing on abstract system model meaning representations.
  • ...
  • It can range from being an Informal Abstract System Model to being a Formal Abstract System Model, depending on its abstract system model rigor level.
  • It can range from being a Simple Abstract System Model to being a Complex Abstract System Model, depending on its abstract system model structural complexity.
  • It can range from being a Static Abstract System Model to being a Dynamic Abstract System Model, depending on its abstract system model temporal behavior.
  • It can range from being a Deterministic Abstract System Model to being a Stochastic Abstract System Model, depending on its abstract system model uncertainty representation.
  • It can range from being a Discrete Abstract System Model to being a Continuous Abstract System Model, depending on its abstract system model state space.
  • ...
  • It can be produced by System Modeling Tasks through abstract system model development.
  • It can utilize Modeling Languages for abstract system model expression.
  • It can integrate with System Architectures through abstract system model frameworks.
  • It can enable System Design Paradigms via abstract system model principles.
  • It can differ from Physical System Models through abstract system model immateriality.
  • ...
• Example(s):
  • Mathematical Abstract System Models, such as:
    • Statistical Model, representing abstract system model probabilistic behavior.
    • Optimization Model, capturing abstract system model objective functions.
    • Game Theory Model, analyzing abstract system model strategic interactions.
    • Graph Model, structuring abstract system model network relationships.
    • Differential Equation Model, describing abstract system model continuous changes.
  • Computational Abstract System Models, such as:
    • Algorithm Model, specifying abstract system model procedural logic.
    • Automata Model, representing abstract system model state transitions.
    • Turing Machine Model, formalizing abstract system model computations.
    • Neural Network Model, capturing abstract system model learning patterns.
    • Cellular Automaton Model, simulating abstract system model emergent behaviors.
  • Logical Abstract System Models, such as:
    • Formal Logic Model, defining abstract system model inference rules.
    • Petri Net Model, analyzing abstract system model concurrent processes.
    • State Machine Model, representing abstract system model behavioral states.
    • Decision Tree Model, structuring abstract system model choice paths.
  • Process Abstract System Models, such as:
    • Business Process Model, capturing abstract system model workflow patterns.
    • Workflow Model, organizing abstract system model activity sequences.
    • Data Flow Model, tracing abstract system model information flows.
    • Control Flow Model, directing abstract system model execution paths.
  • Organizational Abstract System Models, such as:
    • Organizational Model, structuring abstract system model social hierarchies.
    • Enterprise Architecture Model, designing abstract system model business structures.
    • System Capacity Model, analyzing abstract system model resource constraints.
    • Role-Based Model, defining abstract system model responsibility patterns.
  • Scientific Abstract System Models, such as:
    • Theoretical Model, proposing abstract system model scientific hypotheses.
    • Simulation Model, implementing abstract system model experimental designs.
    • Predictive Model, forecasting abstract system model future states.
    • Explanatory Model, clarifying abstract system model causal mechanisms.
  • Economic Abstract System Models, such as:
    • Market Model, analyzing abstract system model economic behaviors.
    • Financial Model, projecting abstract system model monetary flows.
    • Risk Model, assessing abstract system model uncertainty impacts.
    • Portfolio Model, optimizing abstract system model asset allocations.
  • Information Abstract System Models, such as:
    • Data Model, structuring abstract system model information organization.
    • Information Architecture Model, designing abstract system model content structures.
    • Database Schema, defining abstract system model data relationships.
    • Metadata Model, describing abstract system model information characteristics.
  • Knowledge-Oriented Abstract System Models, such as:
    • Semantic System Model, encoding abstract system model meaning structures.
    • Knowledge Representation Model, formalizing abstract system model knowledge structures.
    • Ontological Model, defining abstract system model concept hierarchies.
    • Conceptual Schema, organizing abstract system model domain knowledge.
  • ...
• Counter-Example(s):
  • Physical System Model, which uses tangible representations or represents physical systems rather than abstract system model concepts.
  • Physical Prototype, which creates material instantiations rather than abstract system model structures.
  • Hardware Implementation, which builds concrete systems rather than abstract system model designs.
  • Scale Model, which provides physical miniaturizations rather than abstract system model formalizations.
  • Working Model, which demonstrates through physical operations rather than abstract system model principles.
• See: System Model, Physical System Model, Abstract System, Conceptual Model.

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